Method and Equipment for Determining Prestress Value of Pipe Piles

Abstract

This application is applicable to the field of pipe pile technology, and particularly relates to a method and device for determining the prestress value of a pipe pile. The method for determining the prestress value of a pipe pile includes: obtaining pipe pile information and material information; analyzing according to the pipe pile information to obtain an initial prestress reference value; analyzing according to the material information to obtain manufacturing loss data; obtaining usage loss data based on big data analysis; analyzing according to the manufacturing loss data and the usage loss data to obtain a prestress correction factor; and adjusting the initial prestress reference value based on the prestress correction factor to obtain the final prestress value. This method can more accurately determine the final required prestress value of the pipe pile, make the determined prestress value more in line with the actual usage scenario, improve the adaptability of the determination of the pipe pile prestress value to different usage environments and conditions, and help improve the reliability and stability of the pipe pile in practical applications.

Description

Technical Field

[0001] This application belongs to the technical field of pipe piles, and particularly relates to a method and device for determining the prestress value of pipe piles. Background Art

[0002] As an important deep foundation component, pipe piles are widely used in civil engineering fields such as buildings, bridges, and ports, and play an irreplaceable role especially in the treatment of soft soil foundations. Prestressed pipe piles significantly improve their flexural resistance, crack resistance, and bearing capacity by pre-applying compressive stress (prestressing tendons) in the concrete, and have become the preferred foundation form for major projects such as high-rise buildings, cross-sea bridges, and offshore wind farms.

[0003] In related technologies, the determination of the prestress value of pipe piles mainly relies on engineers' experience, limited design manual guidance, and industry standards, etc., which often leads to inaccurate setting of the prestress value. Especially when facing complex geological conditions, different usage environments, and diverse building design requirements, traditional prestress setting methods are difficult to fully consider the influence of various factors on the prestress of pipe piles. For example, in coastal areas with high salt fog, traditional methods often ignore the accelerated corrosion effect of steel bars caused by chloride ion erosion, and only increase a fixed safety factor according to standard specifications, resulting in over-design or under-design of prestress. In addition, the temperature deformation and steel bar relaxation during the production stage of pipe piles are usually estimated by empirical percentages, lacking a quantitative relationship with material parameters, resulting in a prediction error of manufacturing losses as high as 15% - 20%. With the development of building materials science, material properties such as concrete strength and steel bar elastic modulus are also constantly improving. How to accurately reflect the changes in these new material properties and incorporate them into the calculation of the prestress value of pipe piles has become a major challenge in engineering practice. Summary of the Invention

[0004] The embodiments of this application provide a method and device for determining the prestress value of pipe piles, which can solve the problem of low accuracy in determining the traditional prestress value of pipe piles.

[0005] In a first aspect, the embodiments of this application provide a method for determining the prestress value of pipe piles, including:

[0006] Obtain pipe pile information and material information; wherein, the pipe pile information is used to reflect the dimensions of the required pipe piles, and the material information includes concrete information for reflecting concrete strength and steel bar information for reflecting steel bar elastic modulus;

[0007] Analyze according to the pipe pile information to obtain an initial prestress reference value;

[0008] Analyze according to the material information to obtain manufacturing loss data; wherein, the manufacturing loss data is used to reflect the loss degree of prestress after the production of pipe piles;

[0009] Based on big data analysis, use loss data is obtained; wherein the use loss data is used to reflect the degree of loss of prestress of the pipe pile when it is in use;

[0010] Analyze the manufacturing loss data and the use loss data to obtain a prestress correction factor;

[0011] The initial prestress reference value is adjusted based on the prestress correction factor to obtain a final prestress value.

[0012] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0013] The method for determining the prestress value of a pipe pile provided in the present application obtains the pipe pile information for reflecting the size of the required pipe pile and the material information including the concrete information for reflecting the concrete strength and the steel bar information for reflecting the elastic modulus of the steel bar; then analyzes the pipe pile information to obtain the initial prestress reference value; analyzes the material information to obtain the manufacturing loss data for reflecting the loss degree of the prestress after the pipe pile is produced; then based on the big data analysis, obtains the use loss data for reflecting the loss degree of the prestress when the pipe pile is used; then analyzes the manufacturing loss data and the use loss data to obtain the prestress correction factor; finally adjusts the initial prestress reference value based on the prestress correction factor to obtain the final prestress value. With the help of big data analysis, and targeting the prestress loss (manufacturing loss data) in the production process of the pipe pile and the prestress loss (use loss data) in the use process, the method can more accurately determine the final prestress value required for the pipe pile, so that the determined prestress value is more in line with the actual use scenario, improves the adaptability of the determination of the prestress value of the pipe pile to different use environments and conditions, and helps to improve the reliability and stability of the pipe pile in actual applications.

[0014] In a possible implementation of the first aspect, analyzing the pipe pile information to obtain an initial prestress reference value includes:

[0015] Analyze the pile information to obtain the design load, reinforcement ratio and length-to-straight ratio; wherein the design load is used to reflect the bearing capacity of the pile, the reinforcement ratio is used to characterize the ratio of the total cross-sectional area of the steel bars to the total cross-sectional area of the concrete in the cross-sectional area of the pile, and the length-to-straight ratio is used to characterize the ratio of the length to the diameter of the pile;

[0016] An initial prestress reference value is obtained by analyzing the design load, the reinforcement ratio and the length-to-straight ratio.

[0017] In a possible implementation of the first aspect, analyzing according to the pipe pile information to obtain the design load includes:

[0018] Analyze according to the pipe pile information to obtain the static load; wherein, the static load is used to reflect the inherent bearing capacity of the pipe pile;

[0019] Obtain the usage environment information of the pipe pile; wherein, the usage environment information is used to reflect the geographical environment and building structure where the pipe pile is located;

[0020] Analyze according to the usage environment information to obtain the dynamic load; wherein, the dynamic load is used to reflect the dynamic bearing capacity of the pipe pile during use;

[0021] Analyze according to the static load and the dynamic load to obtain the design load.

[0022] In a possible implementation manner of the first aspect, the analyzing according to the static load and the dynamic load to obtain the design load includes:

[0023] Analyze according to the dynamic load to obtain the dynamic amplification factor;

[0024] Adjust the static load based on the dynamic amplification factor to obtain the design load.

[0025] In a possible implementation manner of the first aspect, the analyzing according to the design load, the reinforcement ratio, and the length-to-diameter ratio to obtain the initial prestress reference value includes:

[0026] Analyze according to the design load to obtain the prestress equivalent;

[0027] Compare the reinforcement ratio with a preset threshold. If the reinforcement ratio is less than the preset threshold, analyze according to the reinforcement ratio and the length-to-diameter ratio to obtain a compensation coefficient;

[0028] Compensate the prestress equivalent based on the compensation coefficient to obtain the initial prestress reference value.

[0029] In a possible implementation manner of the first aspect, the analyzing according to the reinforcement ratio and the length-to-diameter ratio to obtain the compensation coefficient includes:

[0030] Analyze according to the reinforcement ratio to obtain the transverse compensation coefficient;

[0031] Analyze according to the length-to-diameter ratio to obtain the longitudinal compensation coefficient;

[0032] Perform a weighted sum of the transverse compensation coefficient and the longitudinal compensation coefficient to obtain the compensation coefficient.

[0033] In a possible implementation manner of the first aspect, the analyzing according to the design load, the reinforcement ratio, and the length-to-diameter ratio to obtain the initial prestress reference value further includes:

[0034] If the reinforcement ratio is greater than or equal to the preset threshold, the equivalent prestress is determined as the initial prestress reference value.

[0035] In a possible implementation manner of the first aspect, the analyzing according to the material information to obtain the manufacturing loss data includes:

[0036] Analyzing according to the concrete information of the material information to obtain the expansion coefficient;

[0037] Analyzing according to the steel bar information of the material information to obtain the relaxation coefficient;

[0038] Based on the prestress loss function, analyzing according to the expansion coefficient and the relaxation coefficient to obtain the manufacturing loss data.

[0039] In a possible implementation manner of the first aspect, the obtaining the service loss data based on big data analysis includes:

[0040] Establishing a multi-physical field coupling model including a mechanical field, a temperature field and an environmental action field; wherein, the environmental action field is constructed according to the geographical environment characteristic parameters in the big data;

[0041] Performing dynamic simulation based on the multi-physical field coupling model to obtain a stress distribution nephogram;

[0042] Analyzing according to the stress distribution nephogram to obtain the stress concentration coefficient of the key area;

[0043] Analyzing based on the stress concentration coefficient to obtain the service loss data.

[0044] In a possible implementation manner of the first aspect, the analyzing according to the manufacturing loss data and the service loss data to obtain the prestress correction factor includes:

[0045] Performing normalization processing on the manufacturing loss data and the service loss data to obtain a manufacturing loss factor and a service loss factor;

[0046] Calculating the difference between the manufacturing loss factor and the service loss factor to obtain a factor difference;

[0047] Obtaining a first weight and a second weight based on the factor difference;

[0048] Calculating based on the correction function according to the manufacturing loss factor, the service loss factor, the first weight and the second weight to obtain the prestress correction factor.

[0049] In a second aspect, an embodiment of the present application provides a pipe pile prestress value determination system, including:

[0050] An acquisition module for acquiring pipe pile information and material information; wherein, the pipe pile information is used to reflect the dimensions of the required pipe piles, and the material information includes concrete information for reflecting the concrete strength and steel bar information for reflecting the elastic modulus of the steel bars;

[0051] A first analysis module for analyzing according to the pipe pile information to obtain an initial prestress reference value;

[0052] A second analysis module for analyzing according to the material information to obtain manufacturing loss data; wherein, the manufacturing loss data is used to reflect the degree of prestress loss after the production of the pipe piles;

[0053] A third analysis module for obtaining usage loss data based on big data analysis; wherein, the usage loss data is used to reflect the degree of prestress loss when the pipe piles are in use;

[0054] A fourth analysis module for analyzing according to the manufacturing loss data and the usage loss data to obtain a prestress correction factor;

[0055] An adjustment module for adjusting the initial prestress reference value based on the prestress correction factor to obtain a final prestress value.

[0056] In a third aspect, an embodiment of the present application provides a device for determining the prestress value of a pipe pile, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the above first aspects is implemented.

[0057] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method described in any one of the above first aspects is implemented.

[0058] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a device for determining the prestress value of a pipe pile, the device for determining the prestress value of a pipe pile is enabled to execute the method for determining the prestress value of a pipe pile described in any one of the above first aspects.

[0059] It can be understood that the beneficial effects of the above second aspect to fifth aspect can refer to the relevant descriptions in the above first aspect, and will not be elaborated here. Description of the Drawings

[0060] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0061] Figure 1 It is a schematic flowchart of the method for determining the prestress value of a pipe pile provided by an embodiment of the present application;

[0062] Figure 2 It is a schematic flowchart for implementing step S200 in the method for determining the prestress value of a pipe pile provided by an embodiment of the present application;

[0063] Figure 3 It is a schematic structural diagram of the system for determining the prestress value of a pipe pile provided by an embodiment of the present application;

[0064] Figure 4 It is a schematic structural diagram of the device for determining the prestress value of a pipe pile provided by an embodiment of the present application. Detailed implementation manners

[0065] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are proposed to thoroughly understand the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0066] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0067] It should also be understood that the term "and / or" as used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0068] As used in the specification of the present application and the appended claims, the term "if" can be interpreted as "when...", "once", "in response to determining", or "in response to detecting" depending on the context. Similarly, the phrase "if determined" or "if the described condition or event is detected" can be interpreted as meaning "once determined", "in response to determining", "once the described condition or event is detected", or "in response to detecting the described condition or event" depending on the context.

[0069] In addition, in the description of the specification and the appended claims of the present application, the terms "first", "second", "third", etc. are only used for differential description and should not be construed as indicating or implying relative importance.

[0070] The reference to "one embodiment" or "some embodiments" etc. described in the specification of the present application means that a specific feature, structure or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, the statements "in one embodiment", "in some embodiments", "in other some embodiments", "in still other some embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized.

[0071] As an important deep foundation component, pipe piles are widely used in civil engineering fields such as buildings, bridges, ports, etc., and play an irreplaceable role especially in the treatment of soft soil foundations. By pre-applying compressive stress (prestressed tendons) in the concrete, prestressed pipe piles significantly improve their flexural resistance, crack resistance and bearing capacity, and become the preferred foundation form for major projects such as high-rise buildings, cross-sea bridges, and offshore wind farms.

[0072] In the related art, the determination of the prestress value of pipe piles mainly relies on the experience of engineers, limited design manual guidance and industry standards, etc., which often results in inaccurate setting of the prestress value. Especially when facing complex geological conditions, different usage environments and diverse building design requirements, the traditional prestress setting method is difficult to fully consider the influence of various factors on the prestress of pipe piles. For example, in coastal areas with high salt fog, the traditional method often ignores the accelerated corrosion effect of steel bars caused by chloride ion erosion, and only increases a fixed safety factor according to the standard specifications, resulting in over-design or under-design of prestress. In addition, the temperature deformation and steel bar relaxation during the production stage of pipe piles are usually estimated by empirical percentages, lacking a quantitative relationship with material parameters, resulting in a prediction error of manufacturing losses up to 15% - 20%. With the development of building materials science, the material properties such as the strength of concrete and the elastic modulus of steel bars are also constantly improving. How to accurately reflect the changes of these new material properties and incorporate them into the calculation of the prestress value of pipe piles has become a major challenge in engineering practice.

[0073] To solve the above problems, an embodiment of the present application provides a method and device for determining the prestress value of a pipe pile. In this method, pipe pile information for reflecting the dimensions of the required pipe pile and material information including concrete information for reflecting the concrete strength and steel bar information for reflecting the elastic modulus of the steel bars are obtained; then, based on the analysis of the pipe pile information, an initial prestress reference value is obtained; based on the analysis of the material information, manufacturing loss data for reflecting the loss degree of the prestress after the production of the pipe pile is obtained; then, based on big data analysis, service loss data for reflecting the loss degree of the prestress when the pipe pile is in use is obtained; then, based on the analysis of the manufacturing loss data and the service loss data, a prestress correction factor is obtained; finally, based on the prestress correction factor, the initial prestress reference value is adjusted to obtain the final prestress value. By means of big data analysis, this method can more accurately determine the final required prestress value of the pipe pile for the prestress loss (manufacturing loss data) during the production process of the pipe pile and the prestress loss (service loss data) during the use process, making the determined prestress value more in line with the actual use scenario, improving the adaptability of the determination of the pipe pile prestress value to different use environments and conditions, and helping to improve the reliability and stability of the pipe pile in practical applications.

[0074] The method for determining the prestress value of a pipe pile provided by the embodiment of the present application can be applied to a device for determining the prestress value of a pipe pile. At this time, the device for determining the prestress value of a pipe pile is the execution subject of the method for determining the prestress value of a pipe pile provided by the embodiment of the present application, and the specific type of the device for determining the prestress value of a pipe pile is not limited in any way by the embodiment of the present application.

[0075] For example, the device for determining the prestress value of a pipe pile can be a mobile phone, a tablet computer, a wearable device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart large screen, a smart TV, etc. It can also be a handheld device, a computing device with wireless communication function, or other processing devices connected to a wireless modem, an Internet of Things terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a set top box (STB), a customer premise equipment (CPE), and / or other devices for communicating on a wireless system, as well as next-generation communication systems, such as mobile terminals in a 5G network or mobile terminals in a future evolved Public Land Mobile Network (PLMN).

[0076] To better understand the method for determining the prestress value of a pipe pile provided by the embodiments of the present application, the following provides an exemplary introduction to the specific implementation process of the method for determining the prestress value of a pipe pile provided by the embodiments of the present application.

[0077] Figure 1 and Figure 2 FIG. shows a schematic flowchart of the method for determining the prestress value of a pipe pile provided by the embodiments of the present application. The method for determining the prestress value of a pipe pile includes:

[0078] S100, obtaining pipe pile information and material information; wherein, the pipe pile information is used to reflect the size of the required pipe pile, and the material information includes concrete information for reflecting the concrete strength and steel bar information for reflecting the elastic modulus of the steel bars.

[0079] It can be understood that the dimensions of the required pipe piles include parameters such as length, radius, specifications of steel bars and concrete. The concrete strength includes the viscosity change of the concrete during curing and the structural strength after curing. Exemplarily, the pipe pile information and material information can be manually input by humans or obtained from the pipe pile database, etc., but not limited to this. The pipe pile database refers to a database that contains pipe piles of different specifications and parameters such as the performance and dimensions of the corresponding concrete and steel bars used. These data can be obtained through means such as laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining the data, the collected data is sorted, classified, and archived, useful information and laws are extracted, and then the relevant data is saved to the database to form a pipe pile database.

[0080] S200. Analyze according to the pipe pile information to obtain the initial prestress reference value.

[0081] It can be understood that the initial prestress reference value refers to the ideal prestress value under the condition that factors such as manufacturing parameters and usage conditions are controllable. Exemplarily, the design load can be obtained by analyzing the pipe pile information, and then combined with the dimensions and material usage reflected by the pipe pile information, the initial prestress reference value can be obtained based on the design load; the pipe pile information can also be input into the learning model, and the learning model outputs the corresponding initial prestress reference value, etc., but not limited to this. The learning model is trained with multiple sets of training data, and each set of training data in the multiple sets of training data includes pipe pile information and the initial prestress reference value.

[0082] In a possible implementation manner, in step S200, analyzing according to the pipe pile information to obtain the initial prestress reference value includes:

[0083] S210. Analyze according to the pipe pile information to obtain the design load, reinforcement ratio, and slenderness ratio; among them, the design load is used to reflect the bearing capacity of the pipe pile, the reinforcement ratio is used to characterize the ratio of the total cross-sectional area of the steel bars to the total cross-sectional area of the concrete in the cross-sectional area of the pipe pile, and the slenderness ratio is used to characterize the ratio of the length of the pipe pile to the diameter.

[0084] It can be understood that the pipe pile simulation data, that is, the pipe pile model, can be obtained through the design parameters of the pipe pile information. According to the pipe pile model, the cross-section of the pipe pile can be obtained, and the reinforcement ratio and slenderness ratio can be calculated based on the cross-section. Exemplarily, the inherent load of the pipe pile design can be calculated through the design parameters of the pipe pile, and then the dynamic load can be obtained according to the environment in which the pipe pile is used. Finally, the design load can be obtained through the analysis of the inherent load and the dynamic load; the pipe pile information can also be input into the learning model, and the learning model outputs the corresponding design load, etc., but not limited to this.

[0085] In a possible implementation, in step S200, an analysis is performed based on the pipe pile information to obtain the design load, including:

[0086] S211, perform an analysis based on the pipe pile information to obtain the static load; wherein, the static load is used to reflect the inherent bearing capacity of the pipe pile.

[0087] It can be understood that one pipe pile information corresponds to one static load. Exemplarily, the corresponding static load can be obtained by matching the pipe pile information in the pipe pile database; or the pipe pile information can be input into a learning model, and the learning model then outputs the corresponding static load, etc., but not limited to this.

[0088] S212, obtain the usage environment information of the pipe pile; wherein, the usage environment information is used to reflect the geographical environment and building structure where the pipe pile is located.

[0089] It can be understood that the geographical environment includes geological conditions (such as soil type, groundwater level, etc.), seismic activity, climate conditions (such as temperature change, humidity, wind speed, etc.), etc. The building structure is used to reflect the use of the pipe pile, and different building structures have different impacts on the pipe pile. The usage environment information can be manually input by humans, or obtained from the pipe pile database, etc., but not limited to this.

[0090] S213, perform an analysis based on the usage environment information to obtain the dynamic load; wherein, the dynamic load is used to reflect the dynamic bearing capacity of the pipe pile during use.

[0091] It can be understood that the dynamic loads of pipe piles in different usage environments may be different. Exemplarily, the corresponding dynamic load can be obtained by matching the usage environment information in the pipe pile database; or the usage environment information can be input into a learning model, and the learning model outputs the corresponding dynamic load, etc., but not limited to this.

[0092] S214, perform an analysis based on the static load and the dynamic load to obtain the design load.

[0093] Exemplarily, an analysis can be performed through the dynamic load, and the static load is adjusted based on the analysis result, and the adjusted load is determined as the design load; or the static load and the dynamic load can be input into a learning model, and the learning model outputs the corresponding design load, etc., but not limited to this.

[0094] With such a setting, the actual bearing requirements of the pipe pile can be more accurately evaluated, so as to more accurately evaluate the actual bearing requirements of the pipe pile. Therefore, it has strong adaptability to different projects, exceeding the practice of relying solely on experience or standard specifications, making the design closer to the actual working conditions, thereby improving the accuracy and reliability of the design.

[0095] In a possible implementation, in step S214, an analysis is performed based on the static load and the dynamic load to obtain the design load, including:

[0096] S2141, perform an analysis based on the dynamic load to obtain the dynamic amplification factor.

[0097] It can be understood that the dynamic amplification factor is used to quantify the degree of load increase caused by dynamic effects (such as vibration, impact, etc.). For example, in bridge design, the vibration generated when a vehicle drives across a bridge will cause additional stresses, which may be greater than in the static case. Therefore, by analyzing the expected dynamic load, the corresponding dynamic amplification factor can be calculated. One dynamic load corresponds to one dynamic amplification factor. Exemplarily, a group of dynamic load intervals can be set, the group of dynamic load intervals includes multiple dynamic load intervals, each dynamic load interval corresponds to a dynamic amplification factor, and by matching the dynamic load with the dynamic load intervals in the group of dynamic load intervals, the corresponding dynamic amplification factor can be obtained; or the dynamic load can be input into a learning model, and the learning model outputs the corresponding dynamic amplification factor, and so on, but not limited to this.

[0098] S2142, adjust the static load based on the dynamic amplification factor to obtain the design load.

[0099] It can be understood that the design load = dynamic amplification factor × static load.

[0100] With such a setting, by introducing the dynamic amplification factor, potential dynamic loads can be better predicted and addressed, the risk of structural failure caused by ignoring dynamic effects can be reduced, and the maximum load that the structure may bear during its entire life cycle can be more accurately reflected, providing higher guarantee for the safety of the structure.

[0101] S220, perform an analysis based on the design load, the reinforcement ratio, and the slenderness ratio to obtain the initial prestress reference value.

[0102] It can be understood that different reinforcement ratios and slenderness ratios also have different requirements for prestress. For example, a higher reinforcement ratio means that the pipe pile can withstand greater tensile forces, which has a significant impact on the prestress value, while a longer and thinner pipe pile may be more prone to lateral bending or instability, so higher prestress is required to compensate for this tendency. Exemplarily, a prestress value can be obtained through the design load, and then based on the analysis of the reinforcement ratio and the slenderness ratio, the prestress value is adjusted accordingly, and the adjusted prestress value is confirmed as the initial prestress reference value; or the design load, the reinforcement ratio, and the slenderness ratio can be input into a learning model, and the learning model outputs the corresponding initial prestress reference value, and so on, but not limited to this.

[0103] With such a setting, the initial prestress reference value determined in this way can enable the pipe pile to not only meet the current design requirements, but also ensure the safety and reliability of the structure.

[0104] In a possible implementation manner, in step S220, an analysis is performed based on the design load, reinforcement ratio, and slenderness ratio to obtain the initial prestress reference value, including:

[0105] S221, perform an analysis based on the design load to obtain the prestress equivalent.

[0106] It can be understood that the prestress equivalent is a quantitative index that can intuitively reflect the magnitude of the prestress required to meet the design load requirements. Different design loads correspond to a prestress equivalent. Exemplarily, the prestress equivalent can be obtained by matching the design load in the pipe pile database; or the design load can be input into the learning model, and the learning model outputs the corresponding prestress equivalent.

[0107] S222a, compare the reinforcement ratio with a preset threshold. If the reinforcement ratio is less than the preset threshold, perform an analysis based on the reinforcement ratio and slenderness ratio to obtain a compensation coefficient.

[0108] It can be understood that the preset threshold is a key reinforcement ratio boundary value determined based on a large amount of engineering practice experience and theoretical analysis. When the reinforcement ratio of the pipe pile is less than the preset threshold, it means that the configuration of the steel bars in the pipe pile is relatively small, and its own bearing capacity and deformation resistance ability may be relatively weak. The compensation coefficient is the degree of compensation for the prestress equivalent. Exemplarily, further analysis can be performed through the reinforcement ratio and slenderness ratio, and the final compensation coefficient can be obtained by using weight division; or the reinforcement ratio and slenderness ratio can be directly input into the learning model, and the learning model outputs the corresponding compensation coefficient, etc., but not limited to this.

[0109] In a possible implementation manner, in step S222a, an analysis is performed based on the reinforcement ratio and slenderness ratio to obtain the compensation coefficient, including:

[0110] S2221, perform an analysis based on the reinforcement ratio to obtain the lateral compensation coefficient.

[0111] It can be understood that the lateral compensation coefficient is a correction coefficient determined by reflecting the influence degree of the reinforcement ratio on the mechanical properties of the pipe pile in the lateral direction (the direction perpendicular to the length direction of the pipe pile). Different reinforcement ratios correspond to a lateral compensation coefficient. Exemplarily, the reinforcement ratio can be matched in the pipe pile database to obtain the corresponding lateral compensation coefficient; or the reinforcement ratio can be input into the learning model, and the learning model outputs the corresponding lateral compensation coefficient, etc., but not limited to this.

[0112] S2222, perform an analysis based on the slenderness ratio to obtain the longitudinal compensation coefficient.

[0113] It can be understood that the longitudinal compensation coefficient is a coefficient reflecting the mechanical properties of the pipe pile's length-to-straightness ratio in the longitudinal direction (i.e., the length direction of the pipe pile). Different length-to-straightness ratios result in differences in mechanical properties such as the longitudinal stability and bending resistance of the pipe pile. Exemplarily, the length-to-straightness ratio can be matched in the pipe pile database to obtain the corresponding longitudinal compensation coefficient; or the length-to-straightness ratio can be input into a learning model, and the learning model outputs the corresponding longitudinal compensation coefficient, etc., but not limited to this.

[0114] S2223, perform a weighted sum of the transverse compensation coefficient and the longitudinal compensation coefficient to obtain the compensation coefficient.

[0115] It can be understood that the weights of the transverse compensation coefficient and the longitudinal compensation coefficient can be preset and input manually, or can be dynamically adjusted according to the size of the pipe pile, etc., but not limited to this.

[0116] With such a setting, by separately considering the mechanical property changes of the pipe pile caused by the reinforcement ratio and the length-to-straightness ratio in the transverse and longitudinal directions, and comprehensively obtaining the compensation coefficient, it is possible to comprehensively and accurately quantify the deficiency of the mechanical properties of the pipe pile when the reinforcement ratio is low, providing a scientific basis for the subsequent reasonable compensation of the prestress equivalent, effectively improving the accuracy and rationality of determining the initial prestress reference value, enabling the pipe pile to better adapt to different reinforcement and geometric size conditions at the design stage, and ensuring its safety and reliability in actual use.

[0117] S223a, compensate the prestress equivalent based on the compensation coefficient to obtain the initial prestress reference value.

[0118] It can be understood that the initial prestress reference value = compensation coefficient × prestress equivalent.

[0119] In a possible implementation manner, in step S220, when analyzing according to the design load, reinforcement ratio, and length-to-straightness ratio to obtain the initial prestress reference value, it further includes:

[0120] S222b, if the reinforcement ratio is greater than or equal to the preset threshold, then determine the prestress equivalent as the initial prestress reference value.

[0121] It can be understood that when the reinforcement ratio of the pipe pile is greater than or equal to the preset threshold, it indicates that the reinforcement configuration in the pipe pile is relatively sufficient, and its own bearing capacity and deformation resistance can meet the requirements of the design load to a certain extent. In this case, the prestress equivalent obtained only based on the analysis of the design load can be directly used as the initial prestress reference value. Because the reinforcement ratio is relatively high at this time, the mechanical properties of the pipe pile in the transverse and longitudinal directions are relatively stable, and it is less affected by the reinforcement ratio and the slenderness ratio. There is no need for additional compensation calculations, which simplifies the calculation process and ensures the efficiency of determining the initial prestress reference value while meeting the requirements of engineering safety and performance.

[0122] With such a setting, by judging the reinforcement ratio and the preset threshold and adopting different methods to determine the initial prestress reference value for different situations, it not only considers the situation where the mechanical properties of the pipe pile are insufficient and need compensation when the reinforcement ratio is low, but also takes into account the situation where the mechanical properties of the pipe pile are relatively stable and no complex compensation calculations are required when the reinforcement ratio is high. This makes the entire process of determining the initial prestress reference value more flexible, efficient, scientific and reasonable, and can accurately determine the initial prestress reference value according to the actual reinforcement situation of the pipe pile, effectively improving the accuracy and engineering practicability of the prestress design of the pipe pile.

[0123] S300, analyze according to the material information to obtain the manufacturing loss data; wherein, the manufacturing loss data is used to reflect the loss degree of the prestress after the production of the pipe pile.

[0124] It can be understood that during the production process of the pipe pile, factors such as the properties of the materials and the production process will have a certain impact on the prestress of the pipe pile. For example, during the production process of the concrete pipe pile, as the processes of pouring and curing are carried out, the strength growth characteristics of the concrete will affect the establishment and maintenance of the prestress. If the early strength growth of the concrete does not meet the expectations, during subsequent processes such as tensioning the prestressed tendons, it may cause excessive local deformation of the concrete, resulting in prestress loss. The elastic modulus of the steel bar reflects the deformation characteristics of the steel bar when it is stressed. During the production process, processing techniques such as cold drawing and welding of the steel bar may change the microstructure of the steel bar, thereby affecting its elastic modulus and ultimately resulting in prestress loss. In this case, even if the influence caused by the processing technique is not considered, only due to the influence of the material properties, the prestress value of the pipe pile may not reach or may exceed the expected prestress value before it is put into use. Therefore, when determining the prestress value of the pipe pile, the prestress value lost during the manufacturing process can be obtained through the material information. Exemplarily, the lost prestress value can be obtained by analyzing and calculating according to the concrete information and steel bar information of the material information; or the material information can be input into the learning model, and the learning model outputs the corresponding manufacturing loss data, etc., but it is not limited to this.

[0125] In a possible implementation manner, in step S300, analysis is performed based on the material information to obtain manufacturing loss data, including:

[0126] S310, analyze according to the concrete information in the material information to obtain the expansion coefficient.

[0127] It can be understood that during the production process of concrete, due to factors such as cement hydration reaction, volume changes will occur. The expansion coefficient is used to quantify the degree of this volume change. The heat of hydration of different cement varieties is different, which may cause different degrees of expansion or shrinkage of concrete during hardening. Therefore, different concrete information corresponds to an expansion coefficient. Exemplarily, the concrete information can be matched in the pipe pile database to obtain the corresponding expansion coefficient; the concrete information can also be input into the learning model, and the learning model outputs the corresponding expansion coefficient, etc., but not limited to this.

[0128] S320, analyze according to the steel bar information in the material information to obtain the relaxation coefficient.

[0129] It can be understood that after the steel bar is prestressed and tensioned, even if the stress remains unchanged, its strain will gradually increase with time, and this phenomenon is called the relaxation of the steel bar. The relaxation coefficient reflects the proportional relationship of the stress loss of the steel bar within a certain time. The material, size, etc. of the steel bar are closely related to the elastic modulus and affect the relaxation coefficient. For example, steel bars of different strength grades have different internal crystal structures and microstructures, resulting in differences in relaxation characteristics. Exemplarily, the steel bar information can be matched in the pipe pile database to obtain the corresponding relaxation coefficient; the steel bar information can also be input into the learning model, and the learning model outputs the corresponding relaxation coefficient, etc., but not limited to this.

[0130] S330, based on the prestress loss function, analyze according to the expansion coefficient and the relaxation coefficient to obtain the manufacturing loss data.

[0131] It can be understood that the prestress loss function is , where α is the expansion coefficient, β is the relaxation coefficient, ΔT is the average temperature change range during the pipe pile production stage, is the initial prestress reference value.

[0132] With such a setting, by integrating the concrete expansion coefficient and the steel bar relaxation coefficient with the prestress loss function, the prestress loss caused by material factors during the pipe pile production process is comprehensively and systematically analyzed, and the manufacturing loss data can be accurately quantified, providing reliable data support for subsequent determination of the prestress correction factor and the final prestress value, and improving the scientificity and accuracy of the entire pipe pile prestress value determination method.

[0133] S400. Based on big data analysis, obtain usage loss data, where the usage loss data is used to reflect the degree of loss of prestress in the pipe pile during use.

[0134] It can be understood that during the actual use of the pipe pile, due to the comprehensive influence of various complex factors, the prestress will gradually be lost. These factors include, but are not limited to, the geographical environment where the pipe pile is located (such as soil type, groundwater level, climate conditions, etc.), the mechanical loads it bears (such as the long-term static load and dynamic load of the building, etc.), and the service time. By collecting a large amount of actual operation data of pipe piles in different usage scenarios and using big data analysis technology, the potential relationship between these complex factors and prestress loss can be mined, so as to obtain the usage loss data. This data can truly reflect the prestress loss of the pipe pile during actual service and provide a key basis for accurately evaluating the performance of the pipe pile during the use stage.

[0135] In a possible implementation manner, in step S400, based on big data analysis, obtaining the usage loss data includes:

[0136] S410. Establish a multi-physical field coupling model including a mechanical field, a temperature field, and an environmental action field, where the environmental action field is constructed according to the geographical environment characteristic parameters in the big data.

[0137] It can be understood that the mechanical field mainly considers various mechanical loads borne by the pipe pile during use, such as the weight of the building in the vertical direction, the wind load in the horizontal direction, and possible seismic forces. These mechanical loads will cause changes in the stress and strain distribution inside the pipe pile. The temperature field considers the influence of the change in the environmental temperature where the pipe pile is located on its material properties and internal stress state. For example, the rise and fall of temperature will cause the thermal expansion and contraction of concrete and steel bars, thereby changing the internal stress distribution of the pipe pile. The environmental action field is constructed based on the geographical environment characteristic parameters in the big data, and these parameters include the physical and mechanical properties of the soil (such as the compressive strength and friction coefficient of the soil), the groundwater level height, and the local climate conditions (such as the annual average temperature, humidity, and number of freeze-thaw cycles). By converting these geographical environment characteristic parameters into boundary conditions and material property parameters in the mathematical model, the influence of chemical corrosion, wet-dry cycle, freeze-thaw damage, etc. on the performance of the pipe pile under different geographical environments can be simulated.

[0138] S420. Based on the multi-physical field coupling model, conduct dynamic simulation to obtain a stress distribution nephogram.

[0139] It can be understood that after establishing a multi-physical-field coupling model, computer simulation technology is used to dynamically simulate the pipe piles at different time nodes and working conditions during their use. By inputting different initial conditions and boundary conditions, the entire process of the pipe piles from the start of use to a certain period of service is simulated. During the simulation process, according to the mathematical and physical equations in the multi-physical-field coupling model, the stress values of each point inside the pipe piles at different times are calculated. These stress values are visually displayed in the form of a contour map, that is, the stress distribution contour map is obtained. The stress distribution contour map can clearly present the stress magnitudes and distribution conditions of different parts of the pipe piles during use.

[0140] S430. Analyze according to the stress distribution contour map to obtain the stress concentration coefficient of the key area.

[0141] It can be understood that in the stress distribution contour map, there are some parts where the stress is significantly higher than other areas, and these parts are the key areas. The stress concentration coefficient is used to quantify the degree of stress concentration in the key area, and it is the ratio of the maximum stress in the key area to the average stress of the pipe pile. By processing and analyzing the stress distribution contour map, the key areas of stress concentration are identified, and the maximum stress value of this area is extracted. At the same time, according to the overall stress situation and geometric dimensions of the pipe pile, the average stress of the pipe pile is calculated. Dividing the maximum stress value by the average stress value can obtain the stress concentration coefficient of the key area. The stress concentration coefficient reflects the situation where due to the coupling action of various physical fields during the use of the pipe pile, the stress in some parts is overly concentrated, and stress concentration is often an important reason for the occurrence of cracks, deformations, and even failures in the pipe pile. Therefore, accurately obtaining the stress concentration coefficient is crucial for evaluating the service performance of the pipe pile and determining the service loss data.

[0142] S440. Analyze based on the stress concentration coefficient to obtain the service loss data.

[0143] It can be understood that there is a close relationship between the stress concentration coefficient and the prestress loss of the pipe pile. When stress concentration occurs inside the pipe pile, it will accelerate the stress relaxation of the prestressed tendons and the damage of the concrete, resulting in an increase in prestress loss. The larger the stress concentration coefficient, the larger the prestress loss value reflected by the service loss data, and there is a prestress loss value corresponding to different stress concentration coefficients. Exemplarily, the stress concentration coefficient can be matched in the pipe pile database to obtain the corresponding service loss data; or the stress concentration coefficient can be input into the learning model, and the learning model outputs the corresponding service loss data, etc., but not limited to this.

[0144] With such a setting, by considering various complex factors during the use of pipe piles, the accuracy and reliability of obtaining usage loss data are greatly improved, providing key data that conforms to the actual usage situation for accurately determining the prestress correction factor and the final prestress value subsequently, and effectively ensuring the safety, durability, and reliability of pipe piles in practical engineering applications.

[0145] S500. Analyze the manufacturing loss data and the usage loss data to obtain the prestress correction factor.

[0146] It can be understood that the prestress correction factor refers to the degree of correction required for the initial prestress reference value. Exemplarily, the influence weights of the correction degrees corresponding to the manufacturing loss data and the usage loss data can be obtained by analyzing the manufacturing loss data and the usage loss data, and then the manufacturing loss data and the usage loss data are weighted and summed based on the weights to obtain the prestress correction factor; alternatively, the manufacturing loss data and the usage loss data can be input into a learning model to obtain the prestress correction factor, and so on, but not limited to this.

[0147] In a possible implementation manner, in step S500, analyzing the manufacturing loss data and the usage loss data to obtain the prestress correction factor includes:

[0148] S510. Normalize the manufacturing loss data and the usage loss data to obtain the manufacturing loss factor and the usage loss factor.

[0149] It can be understood that due to their different sources and physical meanings, the manufacturing loss data and the usage loss data may have different dimensions and numerical ranges. To facilitate subsequent unified analysis and comparison of these two data, it is necessary to normalize them. Normalization is a mathematical method of converting data to a specific interval (such as [0, 1]). By scaling and translating the manufacturing loss data and the usage loss data respectively according to their respective numerical ranges, they are transformed into dimensionless data within the same value interval. The manufacturing loss factor and the usage loss factor obtained after normalization can reflect the relative degree of prestress loss in the manufacturing stage and the usage stage on the same scale, eliminating the interference of the original data dimension and numerical range differences on subsequent analysis.

[0150] S520. Calculate the difference between the manufacturing loss factor and the usage loss factor to obtain the factor difference.

[0151] It can be understood that the factor difference = manufacturing loss factor - usage loss factor. If the factor difference is positive, it indicates that the prestress loss in the usage stage is relatively more serious than that in the manufacturing stage; conversely, if the factor difference is negative, it means that the prestress loss in the manufacturing stage is relatively greater.

[0152] S530. Obtain a first weight and a second weight based on the factor difference.

[0153] It can be understood that the first weight and the second weight are respectively used to determine the relative importance of the manufacturing loss factor and the usage loss factor in calculating the prestress correction factor. According to the magnitude and positive / negative situation of the factor difference, a specific weight assignment algorithm is used to determine these two weight values. If the factor difference is large and positive, it indicates that the prestress loss in the usage stage is relatively more significant than that in the manufacturing stage. Then, when calculating the prestress correction factor, a larger weight should be assigned to the usage loss factor, that is, the second weight is relatively larger, while the first weight is relatively smaller. On the contrary, if the factor difference is large and negative, it shows that the prestress loss in the manufacturing stage is relatively prominent, then the first weight should be larger and the second weight is relatively smaller. And the sum of the first weight and the second weight is 1.

[0154] S540. Calculate based on the manufacturing loss factor, the usage loss factor, the first weight, and the second weight according to the correction function to obtain the prestress correction factor.

[0155] It can be understood that the prestress correction factor = the first weight × the manufacturing loss factor + the second weight × the usage loss factor.

[0156] With such a setting, when calculating the prestress correction factor, the relative importance of the loss factors in the two stages can be flexibly and reasonably allocated according to the actual situation of the prestress loss in the manufacturing and usage stages, which helps to more comprehensively and accurately consider the prestress loss in the production and usage processes in the prestress design of pipe piles, thereby improving the accuracy of the prestress design.

[0157] S600. Adjust the initial prestress reference value based on the prestress correction factor to obtain the final prestress value.

[0158] It can be understood that the final prestress value = the prestress correction factor × the initial prestress reference value.

[0159] With such a setting, adjusting the initial prestress reference value based on the prestress correction factor to obtain the final prestress value fully considers various factors affecting the prestress in the entire life cycle of the pipe pile from design to production and then to usage. Compared with the method of determining the prestress value only based on the initial design parameters, the accuracy and reliability of determining the prestress value are greatly improved. It enables the pipe pile to better meet the design requirements in actual engineering applications, effectively improves the usage performance and durability of the pipe pile, and reduces the engineering safety risks caused by unreasonable prestress values.

[0160] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0161] Corresponding to the method for determining the prestress value of a pipe pile described in the above embodiments, an embodiment of the present application further provides a system for determining the prestress value of a pipe pile. Each module of the device can implement each step of the method for determining the prestress value of a pipe pile. Figure 3 FIG. shows a structural block diagram of the system for determining the prestress value of a pipe pile provided by an embodiment of the present application. For the sake of convenience of description, only the parts related to the embodiment of the present application are shown.

[0162] Referring to Figure 3 , the system for determining the prestress value of a pipe pile includes:

[0163] An acquisition module, configured to acquire pipe pile information and material information; wherein, the pipe pile information is used to reflect the size of the required pipe pile, and the material information includes concrete information for reflecting the concrete strength and steel bar information for reflecting the elastic modulus of the steel bars.

[0164] A first analysis module, configured to analyze based on the pipe pile information to obtain an initial prestress reference value.

[0165] A second analysis module, configured to analyze based on the material information to obtain manufacturing loss data; wherein, the manufacturing loss data is used to reflect the degree of prestress loss after the production of the pipe pile.

[0166] A third analysis module, configured to obtain usage loss data based on big data analysis; wherein, the usage loss data is used to reflect the degree of prestress loss when the pipe pile is in use.

[0167] A fourth analysis module, configured to analyze based on the manufacturing loss data and the usage loss data to obtain a prestress correction factor.

[0168] An adjustment module, configured to adjust the initial prestress reference value based on the prestress correction factor to obtain the final prestress value.

[0169] It should be noted that the information interaction, execution process, etc. between the above modules, due to being based on the same concept as the method embodiment of the present application, for the specific functions and the technical effects brought about, reference can be specifically made to the method embodiment part, and details are not described herein again.

[0170] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the division of the above-mentioned modules is used as an example. In actual applications, the above functions can be allocated to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. Each module in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of the modules are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working process of the modules in the above system can refer to the corresponding process in the foregoing method embodiment and will not be elaborated here.

[0171] The embodiment of this application also provides a device for determining the prestress value of a pipe pile. Figure 4 FIG. 5 is a schematic structural diagram of the device 6 for determining the prestress value of a pipe pile provided in an embodiment of this application. As Figure 4 shown, the device 6 for determining the prestress value of a pipe pile in this embodiment includes: at least one processor 60 ( Figure 4 only one is shown in the figure), at least one memory 61 ( Figure 4 only one is shown in the figure), and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the device 6 for determining the prestress value of a pipe pile realizes the steps in any of the foregoing method embodiments for determining the prestress value of a pipe pile, or the functions of each module in the foregoing system embodiment.

[0172] Exemplarily, the computer program 62 can be divided into one or more modules / units. The one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of completing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the device 6 for determining the prestress value of a pipe pile.

[0173] The device 6 for determining the prestress value of a pipe pile can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The device for determining the prestress value of a pipe pile may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 4This is merely an example of the device 6 for determining the prestress value of a pipe pile, and does not constitute a limitation on the device 6 for determining the prestress value of a pipe pile. It may include more or fewer components than those shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.

[0174] The processor 60 may be a central processing unit (CPU). The processor 60 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0175] In some embodiments, the memory 61 may be an internal storage unit of the device 6 for determining the prestress value of a pipe pile, such as the hard disk or memory of the device 6 for determining the prestress value of a pipe pile. In other embodiments, the memory 61 may also be an external storage device of the device 6 for determining the prestress value of a pipe pile, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the device 6 for determining the prestress value of a pipe pile. Further, the memory 61 may also include both the internal storage unit and the external storage device of the device 6 for determining the prestress value of a pipe pile. The memory 61 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0176] An embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0177] An embodiment of the present application provides a computer program product, and when the computer program product runs on the device for determining the prestress value of a pipe pile, the device for determining the prestress value of a pipe pile implements the steps in any of the above method embodiments.

[0178] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the pipe pile prestress value determination device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, USB flash drive, mobile hard disk, magnetic disk, or optical disc, etc.

[0179] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0180] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0181] In the embodiments provided in this application, it should be understood that the disclosed pipe pile prestress value determination device and system can be implemented in other ways. For example, the pipe pile prestress value determination system embodiment described above is only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of devices or modules can be in an electrical, mechanical, or other form.

[0182] The module described as a separation component may or may not be physically separated. The component shown as a module may or may not be a physical module, that is, it may be located in one place or may be distributed across multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0183] The above-described embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the same. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A method for determining the prestress value of a pipe pile, characterized in that Including: Obtaining pile information and material information; wherein, the pile information is used to reflect the dimensions of the required piles, and the material information includes concrete information for reflecting the concrete strength and steel bar information for reflecting the elastic modulus of the steel bars; Analyzing according to the pile information to obtain an initial prestress reference value; Analyzing according to the material information to obtain manufacturing loss data; wherein, the manufacturing loss data is used to reflect the loss degree of prestress after pile production; Obtaining usage loss data based on big data analysis; wherein, the usage loss data is used to reflect the loss degree of prestress when the piles are in use; Analyzing according to the manufacturing loss data and the usage loss data to obtain a prestress correction factor; Adjusting the initial prestress reference value based on the prestress correction factor to obtain a final prestress value; Wherein, the analyzing according to the pile information to obtain an initial prestress reference value includes: Analyzing according to the pile information to obtain a design load, a reinforcement ratio, and a length-to-diameter ratio; wherein, the design load is used to reflect the bearing capacity of the piles, the reinforcement ratio is used to characterize the ratio of the total cross-sectional area of the steel bars to the total cross-sectional area of the concrete in the cross-sectional area of the piles, and the length-to-diameter ratio is used to characterize the ratio of the length of the piles to the diameter; Analyzing according to the design load, the reinforcement ratio, and the length-to-diameter ratio to obtain an initial prestress reference value; The analyzing according to the pile information to obtain a design load includes: Analyzing according to the pile information to obtain a static load; wherein, the static load is used to reflect the inherent bearing capacity of the piles; Obtaining the usage environment information of the piles; wherein, the usage environment information is used to reflect the geographical environment and building structure where the piles are located; Analyzing according to the usage environment information to obtain a dynamic load; wherein, the dynamic load is used to reflect the dynamic bearing capacity of the piles when in use; Analyzing according to the static load and the dynamic load to obtain a design load, including: analyzing according to the dynamic load to obtain a dynamic amplification factor, and adjusting the static load based on the dynamic amplification factor to obtain a design load.

2. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that, The analyzing according to the design load, the reinforcement ratio, and the length-to-diameter ratio to obtain an initial prestress reference value includes: Analyzing according to the design load to obtain a prestress equivalent; Comparing the reinforcement ratio with a preset threshold value. If the reinforcement ratio is less than the preset threshold value, analyzing according to the reinforcement ratio and the length-to-diameter ratio to obtain a compensation coefficient; Compensating the prestress equivalent based on the compensation coefficient to obtain an initial prestress reference value.

3. The method for determining the prestress value of a pipe pile according to claim 2, characterized in that, The analyzing according to the reinforcement ratio and the length-to-diameter ratio to obtain a compensation coefficient includes: Analyzing according to the reinforcement ratio to obtain a transverse compensation coefficient; Analyzing according to the length-to-diameter ratio to obtain a longitudinal compensation coefficient; Performing weighted summation on the transverse compensation coefficient and the longitudinal compensation coefficient to obtain a compensation coefficient.

4. The method for determining the prestress value of a pipe pile according to claim 2, wherein, The analyzing according to the design load, the reinforcement ratio, and the length-to-diameter ratio to obtain an initial prestress reference value further includes: If the reinforcement ratio is greater than or equal to the preset threshold, determine the equivalent prestress as the initial prestress reference value.

5. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that, Analyze according to the material information to obtain manufacturing loss data, including: Analyze according to the concrete information of the material information to obtain the expansion coefficient; Analyze according to the steel bar information of the material information to obtain the relaxation coefficient; Based on the prestress loss function, analyze according to the expansion coefficient and the relaxation coefficient to obtain manufacturing loss data.

6. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that Based on big data analysis, obtain service loss data, including: Establish a multi-physical field coupling model including a mechanical field, a temperature field and an environmental action field; wherein, the environmental action field is constructed according to the geographical environment characteristic parameters in the big data; Perform dynamic simulation based on the multi-physical field coupling model to obtain a stress distribution nephogram; Analyze according to the stress distribution nephogram to obtain the stress concentration coefficient of the key area; Analyze based on the stress concentration coefficient to obtain service loss data.

7. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that, Analyze according to the manufacturing loss data and the service loss data to obtain a prestress correction factor, including: Perform normalization processing on the manufacturing loss data and the service loss data to obtain a manufacturing loss factor and a service loss factor; Calculate the difference between the manufacturing loss factor and the service loss factor to obtain a factor difference; Obtain a first weight and a second weight based on the factor difference; Calculate based on the manufacturing loss factor, the service loss factor, the first weight and the second weight according to a correction function to obtain a prestress correction factor.

8. An equipment for determining the prestress value of a pipe pile, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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