Method and equipment for determining prestress value of tubular pile

Abstract

The invention is suitable for the technical field of tubular piles, and particularly relates to a tubular pile prestress value determining method and device. The tubular pile prestress value determining method comprises the steps that tubular pile information and material information are obtained; 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 use loss data based on big data analysis; analyzing according to the manufacturing loss data and the use loss data to obtain a prestress correction factor; and adjusting the initial prestress reference value based on the prestress correction factor to obtain a final prestress value. According to the method, the pre-stress value finally needed by the tubular pile can be more accurately determined, the determined pre-stress value better conforms to the actual use scene, the adaptability of determination of the pre-stress value of the tubular pile to different use environments and conditions is improved, and the reliability and stability of the tubular pile in actual application are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of pipe piles, and in particular, relates to a method and device for determining a prestress value of a pipe pile. Background Art

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

[0003] In related technologies, the determination of the prestress value of pipe piles mainly relies on the experience of engineers, limited design manual guidance and industry standards, which often leads to inaccurate prestress value setting. Especially in the face of complex geological conditions, different use environments and diverse architectural design requirements, traditional prestress setting methods are difficult to fully consider the impact of various factors on the prestress of pipe piles. For example, in coastal high salt fog areas, traditional methods often ignore the accelerated corrosion effect of steel bars caused by chloride ion erosion, and only increase the 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 in the production stage of pipe piles are usually estimated by empirical percentages, lacking quantitative correlation with material parameters, resulting in manufacturing loss prediction errors 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 the present application provide a method and device for determining the prestress value of a pipe pile, which can solve the problem of low accuracy in determining the prestress value of a traditional pipe pile.

[0005] In a first aspect, an embodiment of the present application provides a method for determining a prestress value of a pipe pile, comprising: 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 used to reflect the concrete strength and steel bar information used to reflect the elastic modulus of the steel bar; Analyze the pile information to obtain an initial prestress reference value; Analyze the material information to obtain manufacturing loss data; wherein the manufacturing loss data is used to reflect the loss degree of prestress after the pipe pile is produced; 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; Analyze the manufacturing loss data and the use loss data to obtain a prestress correction factor; The initial prestress reference value is adjusted based on the prestress correction factor to obtain a final prestress value.

[0006] The above technical solutions in the embodiments of the present application have at least the following technical effects: 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.

[0007] In a possible implementation of the first aspect, analyzing the pipe pile information to obtain an initial prestress reference value includes: 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; An initial prestress reference value is obtained by analyzing the design load, the reinforcement ratio and the length-to-straight ratio.

[0008] In a possible implementation of the first aspect, analyzing according to the pipe pile information to obtain the design load includes: Analyze the pile information to obtain a static load, wherein the static load is used to reflect the inherent bearing capacity of the pile; Acquire the use environment information of the pipe pile; wherein the use environment information is used to reflect the geographical environment and building structure where the pipe pile is located; Analyze the use environment information to obtain a dynamic load; wherein the dynamic load is used to reflect the dynamic bearing capacity of the pipe pile when in use; An analysis is performed based on the static load and the dynamic load to obtain a design load.

[0009] 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: Analyze according to the dynamic load to obtain a dynamic amplification factor; The static load is adjusted based on the dynamic magnification factor to obtain a design load.

[0010] In a possible implementation of the first aspect, the analyzing according to the design load, the reinforcement ratio, and the length-to-straight ratio to obtain an initial prestress reference value includes: Analyze according to the design load to obtain the prestress equivalent; The reinforcement ratio is compared with a preset threshold value, and if the reinforcement ratio is less than the preset threshold value, a compensation coefficient is obtained by analyzing the reinforcement ratio and the length-to-straightness ratio; The prestress equivalent is compensated based on the compensation coefficient to obtain an initial prestress reference value.

[0011] In a possible implementation manner of the first aspect, analyzing according to the reinforcement ratio and the length-to-straightness ratio to obtain a compensation coefficient includes: Analyze according to the reinforcement ratio to obtain a transverse compensation coefficient; Analyze according to the length-to-straightness ratio to obtain the longitudinal compensation coefficient; The lateral compensation coefficient and the longitudinal compensation coefficient are weightedly summed to obtain a compensation coefficient.

[0012] In a possible implementation manner of the first aspect, the performing analysis according to the design load, the reinforcement ratio, and the length-to-straight ratio to obtain an initial prestress reference value further includes: If the reinforcement ratio is greater than or equal to the preset threshold, the prestress equivalent is determined as an initial prestress reference value.

[0013] In a possible implementation manner of the first aspect, the analyzing according to the material information to obtain the manufacturing loss data includes: Analyze the concrete information according to the material information to obtain an expansion coefficient; Analyze the steel bar information according to the material information to obtain a relaxation coefficient; Based on the prestress loss function, analysis is performed according to the expansion coefficient and the relaxation coefficient to obtain manufacturing loss data.

[0014] In a possible implementation manner of the first aspect, obtaining usage loss data based on big data analysis includes: Establishing a multi-physics field coupling model including a mechanical field, a temperature field and an environmental field; wherein the environmental field is constructed according to the geographic environment characteristic parameters in the big data; Perform dynamic simulation based on the multi-physics field coupling model to obtain a stress distribution cloud map; Analyze the stress distribution cloud map to obtain the stress concentration factor of the key area; An analysis is performed based on the stress concentration factor to obtain service loss data.

[0015] In a possible implementation manner of the first aspect, analyzing the manufacturing loss data and the use loss data to obtain the prestress correction factor includes: Normalizing the manufacturing loss data and the usage loss data to obtain a manufacturing loss factor and a usage loss factor; Calculating the difference between the manufacturing loss factor and the use loss factor to obtain a factor difference; Obtaining a first weight and a second weight based on the factor difference; A prestress correction factor is obtained by performing calculation based on a correction function according to the manufacturing loss factor, the use loss factor, the first weight and the second weight.

[0016] In a second aspect, an embodiment of the present application provides a system for determining a prestress value of a pipe pile, comprising: An acquisition module, used 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 used to reflect the concrete strength and steel bar information used to reflect the elastic modulus of the steel bar; A first analysis module is used to analyze the pipe pile information to obtain an initial prestress reference value; The second analysis module is used to analyze the material information to obtain manufacturing loss data; wherein the manufacturing loss data is used to reflect the loss degree of prestress after the pipe pile is produced; The third analysis module is used to obtain use loss data based on big data analysis; wherein the use loss data is used to reflect the degree of loss of prestress of the pipe pile when it is in use; A fourth analysis module, used for analyzing the manufacturing loss data and the use loss data to obtain a prestress correction factor; The adjustment module is used to adjust the initial prestress reference value based on the prestress correction factor to obtain a final prestress value.

[0017] In a third aspect, an embodiment of the present application provides a device for determining the prestress value of a pipe pile, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described in the first aspect when executing the computer program.

[0018] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

[0019] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a pipe pile prestress value determination device, the pipe pile prestress value determination device executes the pipe pile prestress value determination method described in any one of the first aspects above.

[0020] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 is a flow chart of a method for determining a prestress value of a pipe pile provided in an embodiment of the present application; Figure 2 Schematic diagram of the implementation process of step S200 in the method for determining the prestress value of a pipe pile provided in an embodiment of the present application; Figure 3 is a structural schematic diagram of a system for determining a prestress value of a pipe pile provided in an embodiment of the present application; Figure 4 It is a structural schematic diagram of a device for determining a prestress value of a pipe pile provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may 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 prevent unnecessary details from obstructing the description of the present application.

[0024] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of 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 combinations thereof.

[0025] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0026] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if the described condition or event is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.

[0027] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0028] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other 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 in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0029] As an important deep foundation component, pipe piles are widely used in civil engineering fields such as buildings, bridges, and ports, especially in the treatment of soft soil foundations. Prestressed pipe piles significantly improve the bending and crack resistance and bearing capacity of concrete by pre-applying compressive stress (prestressed tendons), making them the preferred foundation form for major projects such as high-rise buildings, cross-sea bridges, and offshore wind power.

[0030] In related technologies, the determination of the prestress value of pipe piles mainly relies on the experience of engineers, limited design manual guidance and industry standards, which often leads to inaccurate prestress value setting. Especially in the face of complex geological conditions, different use environments and diverse architectural design requirements, traditional prestress setting methods are difficult to fully consider the impact of various factors on the prestress of pipe piles. For example, in coastal high salt fog areas, traditional methods often ignore the accelerated corrosion effect of steel bars caused by chloride ion erosion, and only increase the 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 in the production stage of pipe piles are usually estimated by empirical percentages, lacking quantitative correlation with material parameters, resulting in manufacturing loss prediction errors 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.

[0031] To solve the above problems, the embodiment of the present application provides a method and device for determining the prestress value of a pipe pile. In the method, the pipe pile information reflecting the size of the required pipe pile and the material information including the concrete information reflecting the concrete strength and the steel bar information reflecting the elastic modulus of the steel bar are obtained; then the initial prestress reference value is obtained by analyzing the pipe pile information; the manufacturing loss data reflecting the loss degree of the prestress after the pipe pile is produced is obtained by analyzing the material information; then based on the big data analysis, the use loss data reflecting the loss degree of the prestress when the pipe pile is used is obtained; then the prestress correction factor is obtained by analyzing the manufacturing loss data and the use loss data; finally, the initial prestress reference value is adjusted 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.

[0032] The method for determining the prestress value of pipe piles provided in the embodiment of the present application can be applied to a device for determining the prestress value of pipe piles. At this time, the device for determining the prestress value of pipe piles is the executor of the method for determining the prestress value of pipe piles provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the device for determining the prestress value of pipe piles.

[0033] For example, the device for determining the prestress value of the pipe pile can be on a terminal device such as 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, a handheld device with a wireless communication function, a computing device or other processing device 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 TV set top box (STB), a customer premises equipment (CPE) and / or other devices for communicating on a wireless system and a next-generation communication system, for example, a mobile terminal in a 5G network or a mobile terminal in a future evolved public land mobile network (PLMN).

[0034] In order to better understand the method for determining the prestress value of pipe piles provided in the embodiment of the present application, the specific implementation process of the method for determining the prestress value of pipe piles provided in the embodiment of the present application is exemplarily introduced below.

[0035] Figure 1 and Figure 2 A schematic flow chart of a method for determining a prestress value of a pipe pile provided in an embodiment of the present application is shown. The method for determining a prestress value of a pipe pile includes: S100, obtaining pipe pile information and material information; wherein the pipe pile information is used to reflect the required pipe pile size, and the material information includes concrete information used to reflect the concrete strength and steel bar information used to reflect the steel bar elastic modulus.

[0036] It can be understood that the size of the required pipe piles includes parameters such as length, radius, specifications of steel bars and concrete. Concrete strength includes changes in the viscosity of concrete during solidification and the structural strength after solidification. Exemplarily, the pipe pile information and material information can be manually input by humans, or can be obtained from a pipe pile database, etc., but are not limited to this. The pipe pile database refers to a database containing pipe piles of different specifications and corresponding parameters such as the performance and size of the concrete and steel bars used. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After acquisition, the collected data will be sorted, classified and archived, useful information and rules will be extracted, and the relevant data will be saved in the database to form a pipe pile database.

[0037] S200, analyzing the pile information to obtain an initial prestressing reference value.

[0038] It can be understood that the initial prestress reference value refers to the ideal prestress value under controllable factors such as manufacturing parameters and use conditions. For example, the design load can be obtained by analyzing the pipe pile information, and then the initial prestress reference value can be obtained based on the design load in combination with the size and material conditions reflected in the pipe pile information; 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 is 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 initial prestress reference values.

[0039] In a possible implementation, in step S200, the initial prestress reference value is obtained by analyzing the pile information, including: S210, analyzing the pipe pile information to obtain a design load, a reinforcement ratio, and an aspect ratio; wherein 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 aspect ratio is used to characterize the ratio of the length of the pipe pile to its diameter.

[0040] It can be understood that the pile simulation data, i.e., the pile model, can be obtained through the design parameters of the pile information. The cross section of the pile can be obtained according to the pile model, and the reinforcement ratio and the length-to-straight ratio can be calculated based on the cross section. For example, the inherent load of the pile design can be calculated through the design parameters of the pile, and the dynamic load can be obtained according to the environment in which the pile is used. Finally, the design load can be obtained by analyzing the inherent load and the dynamic load; the pile information can also be input into the learning model, and the learning model outputs the corresponding design load, etc., but it is not limited thereto.

[0041] In a possible implementation, in step S200, analyzing the pile information to obtain the design load includes: S211, analyzing the pipe pile information to obtain a static load; wherein the static load is used to reflect the inherent bearing capacity of the pipe pile.

[0042] It can be understood that one pipe pile information corresponds to one static load. For example, the corresponding static load can be obtained by matching the pipe pile information in the pipe pile database; the pipe pile information can also be input into the learning model, and the learning model outputs the corresponding static load, etc., but it is not limited thereto.

[0043] S212, obtaining use environment information of the pipe piles; wherein the use environment information is used to reflect the geographical environment and building structure where the pipe piles are located.

[0044] It can be understood that the geographical environment includes geological conditions (such as soil type, groundwater level, etc.), seismic activity, climatic conditions (such as temperature change, humidity, wind speed, etc.), etc. The building structure is used to reflect the purpose of the pipe pile, and different building structures have different effects on the pipe pile. The use environment information can be manually input by humans, or obtained from the pipe pile database, etc., but is not limited to this.

[0045] S213, analyzing according to the use environment information to obtain a dynamic load; wherein the dynamic load is used to reflect the dynamic bearing capacity of the pipe pile when in use.

[0046] It is understandable that the dynamic load of the pipe pile may be different in different use environments. For example, the use environment information can be matched in the pipe pile database to obtain the corresponding dynamic load; the use environment information can also be input into the learning model, and the learning model outputs the corresponding dynamic load, etc., but it is not limited thereto.

[0047] S214, analyze the static load and dynamic load to obtain the design load.

[0048] For example, dynamic loads can be used for analysis, and static loads can be adjusted based on the analysis results, and the adjusted loads can be determined as design loads; static loads and dynamic loads can also be input into a learning model, and the learning model outputs the corresponding design loads, etc., but are not limited to this.

[0049] Such a setting can more accurately evaluate the actual bearing requirements of pipe piles, so it has strong adaptability to different projects, surpassing the practice of relying solely on experience or standard specifications, making the design closer to actual working conditions, thereby improving the accuracy and reliability of the design.

[0050] In a possible implementation, in step S214, the design load is obtained by analyzing the static load and the dynamic load, including: S2141, analyze according to the dynamic load and obtain the dynamic amplification factor.

[0051] It can be understood that the dynamic amplification factor is used to quantify the degree of load increase due to dynamic effects (such as vibration, impact, etc.). For example, in bridge design, the vibration generated when a vehicle passes over a bridge will cause additional stress, which may be greater than in a static situation. Therefore, by analyzing the expected dynamic load, the corresponding dynamic amplification factor can be calculated. One dynamic load corresponds to a dynamic amplification factor. Exemplarily, a dynamic load interval group can be set, and the dynamic load interval group includes multiple dynamic load intervals, and each dynamic load interval corresponds to a dynamic amplification factor. The dynamic load is matched with the dynamic load interval in the dynamic load interval group to obtain the corresponding dynamic amplification factor; the dynamic load can also be input into a learning model, and the learning model outputs the corresponding dynamic amplification factor, and so on, but not limited to this.

[0052] S2142, the static load is adjusted based on the dynamic magnification factor to obtain the design load.

[0053] It can be understood that design load = dynamic amplification factor × static load.

[0054] Such a setting, by introducing the dynamic amplification factor, can better predict and respond to potential dynamic loads, reduce the risk of structural failure caused by ignoring dynamic effects, and more accurately reflect the maximum load that the structure may withstand throughout its life cycle, providing higher protection for the safety of the structure.

[0055] S220, analyze according to the design load, reinforcement ratio and length-to-straight ratio to obtain the initial prestressing reference value.

[0056] It is understandable that different reinforcement ratios and length-to-straight ratios have different requirements for prestress. For example, a higher reinforcement ratio means that the pile can withstand greater tension, which has a significant impact on the prestress value, while longer and thinner piles 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 the prestress value can be adjusted accordingly based on the reinforcement ratio and length-to-straight ratio. The adjusted prestress value is confirmed as the initial prestress reference value; the design load, reinforcement ratio and length-to-straight ratio can also be input into the learning model, and the learning model outputs the corresponding initial prestress reference value, and so on, but is not limited to this.

[0057] In this way, the initial prestressing reference value determined in this way can make the pipe piles not only meet the current design requirements, but also ensure the safety and reliability of the structure.

[0058] In a possible implementation, in step S220, an analysis is performed based on the design load, reinforcement ratio and length-to-straight ratio to obtain an initial prestress reference value, including: S221, analyze according to the design load and obtain the prestress equivalent.

[0059] It can be understood that the prestress equivalent refers to a quantitative indicator that can intuitively reflect the amount of prestress required to meet the design load requirements. Different design loads correspond to a prestress equivalent. For example, the design load can be matched in the pile database to obtain the corresponding prestress equivalent; the design load can also be input into the learning model, and the learning model outputs the corresponding prestress equivalent.

[0060] S222a, comparing the reinforcement ratio with a preset threshold value, if the reinforcement ratio is less than the preset threshold value, analyzing the reinforcement ratio and the length-to-straightness ratio to obtain a compensation coefficient.

[0061] It can be understood that the preset threshold is a key reinforcement ratio limit 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 ability to resist deformation may be relatively weak. The compensation coefficient refers to the degree of compensation for the prestressed equivalent. Exemplarily, further analysis can be performed through the reinforcement ratio and the length-to-straight ratio, and the final compensation coefficient can be obtained by weight division; the reinforcement ratio and the length-to-straight ratio can also be directly input into the learning model, and the learning model outputs the corresponding compensation coefficient, and so on, but not limited to this.

[0062] In a possible implementation, in step S222a, the compensation coefficient is obtained by analyzing the reinforcement ratio and the length-to-straightness ratio, including: S2221, analyze based on the reinforcement ratio and obtain the lateral compensation coefficient.

[0063] It can be understood that the transverse compensation coefficient is a correction coefficient that reflects the degree to which the mechanical properties of the pipe pile in the transverse direction (the direction perpendicular to the length direction of the pipe pile) are affected by the reinforcement ratio. Different reinforcement ratios correspond to a transverse compensation coefficient. Exemplarily, the reinforcement ratio can be matched in the pipe pile database to obtain the corresponding transverse compensation coefficient; the reinforcement ratio can also be input into the learning model, and the learning model outputs the corresponding transverse compensation coefficient, etc., but is not limited thereto.

[0064] S2222, analyze based on the length-to-straightness ratio to obtain the longitudinal compensation coefficient.

[0065] It can be understood that the longitudinal compensation coefficient is a coefficient that reflects the mechanical properties of the length-to-straight ratio of the pipe pile in the longitudinal direction (i.e., the length direction of the pipe pile). Different length-to-straight ratios will result in different mechanical properties of the pipe pile such as longitudinal stability and bending resistance. Exemplarily, the length-to-straight ratio can be matched in the pipe pile database to obtain the corresponding longitudinal compensation coefficient; the length-to-straight ratio can also be input into the learning model, and the learning model outputs the corresponding longitudinal compensation coefficient, etc., but is not limited thereto.

[0066] S2223, performing weighted summation on the lateral compensation coefficient and the longitudinal compensation coefficient to obtain a compensation coefficient.

[0067] It can be understood that the weights of the lateral compensation coefficient and the longitudinal compensation coefficient can be manually preset and input, or can be dynamically adjusted according to the size of the pipe pile, etc., but it is not limited thereto.

[0068] With such a setting, by considering the changes in the mechanical properties of the pipe piles in the transverse and longitudinal directions caused by the reinforcement ratio and the length-to-straight ratio respectively, and comprehensively deriving the compensation coefficient, it is possible to comprehensively and accurately quantify the deficiencies in the mechanical properties of the pipe piles 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 benchmark value, and enabling the pipe piles to better adapt to different reinforcement and geometric size conditions during the design stage, thereby ensuring their safety and reliability in actual use.

[0069] S223a, compensating the prestress equivalent based on the compensation coefficient to obtain an initial prestress reference value.

[0070] It can be understood that the initial prestress reference value = compensation coefficient × prestress equivalent.

[0071] In a possible implementation, in step S220, an initial prestressing reference value is obtained by analyzing the design load, reinforcement ratio and length-to-straight ratio, and further comprising: S222b: If the reinforcement ratio is greater than or equal to a preset threshold, the prestress equivalent is determined as an initial prestress reference value.

[0072] 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 configuration of the steel bars in the pipe pile is relatively sufficient, and its own bearing capacity and ability to resist deformation can meet the requirements of the design load to a certain extent. In this case, the prestress equivalent obtained based on the design load analysis can be directly used as the initial prestress reference value. Because the reinforcement ratio is high at this time, the mechanical properties of the pipe pile in the transverse and longitudinal directions are relatively stable, and the influence of the reinforcement ratio and the length-to-straight ratio is relatively small. No additional compensation calculation is required, thereby simplifying the calculation process. At the same time, it also ensures that the efficiency of determining the initial prestress reference value is improved while meeting the engineering safety and performance requirements.

[0073] With such a setting, by judging the reinforcement ratio and the preset threshold, different methods of determining the initial prestressing reference value are adopted for different situations. This not only takes into account the situation where the mechanical properties of the pipe piles 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 piles are relatively stable and do not require complex compensation calculations when the reinforcement ratio is high. This makes the entire process of determining the initial prestressing reference value more flexible, efficient, scientific and reasonable, and can accurately determine the initial prestressing reference value according to the actual reinforcement conditions of the pipe piles, effectively improving the accuracy of the prestressing design of the pipe piles and engineering practicability.

[0074] S300, analyzing the material information to obtain manufacturing loss data; wherein the manufacturing loss data is used to reflect the loss degree of prestress after the pipe pile is produced.

[0075] It can be understood that in the production process of pipe piles, factors such as material properties and production processes will have a certain degree of impact on the prestress of pipe piles. For example, in the production process of pipe piles, as the pouring, curing and other links proceed, the strength growth characteristics of concrete will affect the establishment and maintenance of prestress. If the concrete strength growth in the early stage does not meet expectations, the subsequent process of tensioning prestressed tendons may cause excessive local deformation of concrete, resulting in loss of prestress. The elastic modulus of steel bars reflects the deformation characteristics of steel bars when they are stressed. In the production process, processing techniques such as cold drawing and welding of steel bars may change the microstructure of steel bars, thereby affecting their elastic modulus and ultimately leading to loss of prestress. In this case, even if the impact of the processing technology is not considered, the prestress value of the pipe pile before it is put into use may not reach or exceed the expected prestress value only through the influence of material properties. Therefore, when determining the prestress value of the pipe pile, the prestress value lost in the manufacturing process can be obtained through material information. Exemplarily, the lost prestress value can be obtained by analyzing and calculating the concrete information and steel bar information based on the material information; the material information can also be input into the learning model, and the learning model outputs the corresponding manufacturing loss data, etc., but is not limited to this.

[0076] In a possible implementation, in step S300, analyzing the material information to obtain manufacturing loss data includes: S310, analyzing the concrete information of the material information to obtain the expansion coefficient.

[0077] It is understandable that during the production process of concrete, volume changes will occur due to factors such as cement hydration reaction. The expansion coefficient is used to quantify the degree of this volume change. Different cement types have different hydration heats, which may cause different degrees of expansion or contraction of concrete during the hardening process. 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 is not limited to this.

[0078] S320, analyzing the reinforcement information of the material information to obtain a relaxation coefficient.

[0079] It can be understood that after the steel bar is subjected to prestressing, even if the stress remains unchanged, its strain will gradually increase over time. This phenomenon is called relaxation of the steel bar. The relaxation coefficient reflects the proportional relationship of the stress loss of the steel bar within a certain period of time. Factors such as the material and size 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 is not limited to this.

[0080] S330, based on the prestress loss function, analysis is performed according to the expansion coefficient and the relaxation coefficient to obtain manufacturing loss data.

[0081] It can be understood that the prestress loss function is , where α is the expansion coefficient, β is the relaxation coefficient, and ΔT is the average temperature variation during the production stage of the pile. is the initial prestress reference value.

[0082] With this setting, the prestress loss function is used to integrate the concrete expansion coefficient and the steel relaxation coefficient, and the prestress loss caused by material factors in the pipe pile production process is comprehensively and systematically analyzed. The manufacturing loss data can be accurately quantified, which provides reliable data support for the subsequent determination of the prestress correction factor and the final prestress value, thereby improving the scientificity and accuracy of the entire pipe pile prestress value determination method.

[0083] S400, based on big data analysis, obtaining usage loss data; wherein the usage loss data is used to reflect the degree of loss of prestress of the pipe pile when it is in use.

[0084] It is understandable that in the actual use of pipe piles, the combined influence of multiple complex factors will lead to the gradual loss of prestress. These factors include but are not limited to the geographical environment where the pipe piles are located (such as soil type, groundwater level, climatic conditions, etc.), the mechanical loads they bear (such as long-term static loads and dynamic loads of buildings, etc.), and the use time. By collecting a large number of actual operation data of pipe piles in different usage scenarios and using big data analysis technology, we can explore the potential relationship between these complex factors and prestress loss, thereby obtaining use loss data. This data can truly reflect the prestress loss of pipe piles during actual service, and provide a key basis for accurately evaluating the performance of pipe piles during the use stage.

[0085] In a possible implementation, in step S400, based on big data analysis, obtaining usage loss data includes: S410, establishing a multi-physics field coupling model including a mechanical field, a temperature field and an environmental field; wherein the environmental field is constructed according to the geographic environment characteristic parameters in the big data.

[0086] It can be understood that the mechanical field mainly considers the various mechanical loads that the pipe piles bear during use, such as the weight of the building in the vertical direction, the wind load in the horizontal direction, and the possible earthquake force, etc. These mechanical loads will cause changes in the stress and strain distribution inside the pipe piles. The temperature field considers the impact of changes in the ambient temperature of the pipe piles on their 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 piles. The environmental action field is constructed based on the geographical environment characteristic parameters in big data. These parameters include the physical and mechanical properties of the soil (such as the compressive strength and friction coefficient of the soil), the height of the groundwater level, and the local climatic conditions (such as the annual average temperature, humidity, number of freeze-thaw cycles, etc.). By converting these geographical environment characteristic parameters into boundary conditions and material property parameters in the mathematical model, it is possible to simulate the impact of chemical corrosion, dry-wet cycles, freeze-thaw damage, etc. on the performance of the pipe piles in different geographical environments.

[0087] S420, performing dynamic simulation based on the multi-physics field coupling model to obtain a stress distribution cloud map.

[0088] It can be understood that after establishing the multi-physics field coupling model, computer simulation technology is used to dynamically simulate different time nodes and working conditions of the pipe pile during use. By inputting different initial conditions and boundary conditions, the entire process of the pipe pile from the beginning of use to a certain period of service is simulated. During the simulation process, the stress values ​​of each point inside the pipe pile at different times are calculated according to the mathematical physics equations in the multi-physics field coupling model. These stress values ​​are intuitively displayed in the form of cloud maps, that is, stress distribution cloud maps are obtained. The stress distribution cloud map can clearly present the stress size and distribution of different parts of the pipe pile during use.

[0089] S430: Analyze the stress distribution cloud map to obtain the stress concentration factor of the key area.

[0090] It can be understood that in the stress distribution cloud map, there are some parts where the stress is significantly higher than other areas. These parts are the key areas. The stress concentration factor is used to quantify the degree of stress concentration in the key area. 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 cloud map, the key area of ​​stress concentration is identified, and the maximum stress value of the area is extracted. At the same time, the average stress of the pipe pile is calculated based on the overall stress condition and geometric dimensions of the pipe pile. Dividing the maximum stress value by the average stress value can obtain the stress concentration factor of the key area. The stress concentration factor reflects the situation in which the stress in some parts of the pipe pile is excessively concentrated due to the coupling of various physical fields during use. Stress concentration is often an important reason for cracks, deformation and even damage to the pipe pile. Therefore, accurate acquisition of the stress concentration factor is crucial for evaluating the performance of the pipe pile and determining the use loss data.

[0091] S440, analyze based on stress concentration factor and obtain service loss data.

[0092] It can be understood that the stress concentration factor is closely related to 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, thereby increasing the prestress loss. The larger the stress concentration factor, the greater the prestress loss value reflected in the use loss data, and different stress concentration factors correspond to a prestress loss value. Exemplarily, the stress concentration factor can be matched in the pipe pile database to obtain the corresponding use loss data; the stress concentration factor can also be input into the learning model, and the learning model outputs the corresponding use loss data, and so on, but not limited to this.

[0093] This setting, by taking into account various complex factors during the use of pipe piles, greatly improves the accuracy and reliability of the acquisition of usage loss data, provides key data that fits the actual usage conditions for the subsequent precise determination of the prestress correction factor and the final prestress value, and effectively guarantees the safety, durability and reliability of pipe piles in actual engineering applications.

[0094] S500: Analyze the manufacturing loss data and the use loss data to obtain a prestress correction factor.

[0095] It can be understood that the prestress correction factor refers to the degree of correction required for the initial prestress reference value. Exemplarily, the manufacturing loss data and the use loss data can be analyzed to obtain the influence weights of the correction degrees corresponding to the manufacturing loss data and the use loss data, and then the manufacturing loss data and the use loss data are weighted and summed based on the weights to obtain the prestress correction factor; the manufacturing loss data and the use loss data can also be input into the learning model to obtain the prestress correction factor, etc., but not limited to this.

[0096] In a possible implementation, in step S500, the prestress correction factor is obtained by analyzing the manufacturing loss data and the use loss data, including: S510, normalizing the manufacturing loss data and the usage loss data to obtain a manufacturing loss factor and a usage loss factor.

[0097] It can be understood that the manufacturing loss data and the use loss data may have different dimensions and numerical ranges due to their different sources and physical meanings. In order to facilitate the subsequent unified analysis and comparison of the two data, they need to be normalized. Normalization is a mathematical method that converts data to a specific interval (such as [0, 1]). By scaling and translating the manufacturing loss data and the use loss data according to their respective numerical ranges, they are converted into dimensionless data within the same value range. The manufacturing loss factor and the use loss factor obtained after normalization can reflect the relative degree of prestress loss in the manufacturing stage and the use stage on the same scale, eliminating the interference of the differences in the dimensions and numerical ranges of the original data on subsequent analysis.

[0098] S520, calculating the difference between the manufacturing loss factor and the use loss factor to obtain the factor difference.

[0099] It can be understood that factor difference = manufacturing loss factor - use loss factor. If the factor difference is positive, it means that the prestress loss in the use stage is 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.

[0100] S530: Obtain a first weight and a second weight based on the factor difference.

[0101] It can be understood that the first weight and the second weight are used to determine the relative importance of the manufacturing loss factor and the use loss factor in calculating the prestress correction factor. According to the size and positive and negative situation of the factor difference, a specific weight allocation algorithm is used to determine the two weight values. If the factor difference is large and positive, it means that the prestress loss in the use stage is more significant than that in the manufacturing stage. In this case, when calculating the prestress correction factor, the use loss factor should be given a larger weight, that is, the second weight is relatively large, and the first weight is relatively small; conversely, if the factor difference is large and negative, it means that the prestress loss in the manufacturing stage is relatively prominent, then the first weight should be larger and the second weight is relatively small. And the sum of the first weight and the second weight is 1.

[0102] S540, calculating based on the correction function according to the manufacturing loss factor, the use loss factor, the first weight and the second weight to obtain a prestress correction factor.

[0103] It can be understood that the prestress correction factor = the first weight × the manufacturing loss factor + the second weight × the use loss factor.

[0104] With such a setting, when calculating the prestress correction factor, the relative importance of the loss factors of the two stages can be flexibly and reasonably allocated according to the actual situation of prestress loss in the manufacturing and use stages, which helps to more comprehensively and accurately consider the prestress loss in the production and use processes in the prestressing design of pipe piles, thereby improving the accuracy of prestressing design.

[0105] S600: adjusting the initial prestress reference value based on the prestress correction factor to obtain a final prestress value.

[0106] It can be understood that the final prestress value = prestress correction factor × initial prestress reference value.

[0107] In this way, the initial prestress reference value is adjusted based on the prestress correction factor to obtain the final prestress value, which fully considers the various factors that affect the prestress in the entire life cycle of the pipe pile from design to production and then to use. Compared with the method of determining the prestress value based only on the initial design parameters, the accuracy and reliability of the prestress value determination are greatly improved. The pipe pile can better meet the design requirements in actual engineering applications, effectively improve the performance and durability of the pipe pile, and reduce the engineering safety risks caused by unreasonable prestress values.

[0108] It should be understood that the size of the serial numbers of the steps in the above embodiments does 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 on the implementation process of the embodiments of the present application.

[0109] Corresponding to the method for determining the prestress value of a pipe pile described in the above embodiment, the embodiment of the present application further provides a system for determining the prestress value of a pipe pile, and each module of the system can implement each step of the method for determining the prestress value of a pipe pile. Figure 3 A structural block diagram of a system for determining a prestress value of a pipe pile provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0110] Reference Figure 3 , the pipe pile prestress value determination system includes: The acquisition module is used to acquire the pipe pile information and material information; wherein the pipe pile information is used to reflect the required pipe pile size, and the material information includes concrete information used to reflect the concrete strength and steel bar information used to reflect the steel bar elastic modulus.

[0111] The first analysis module is used to analyze the pile information to obtain an initial prestress reference value.

[0112] The second analysis module is used to 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 pipe pile is produced.

[0113] The third analysis module is used to obtain usage loss data based on big data analysis; wherein the usage loss data is used to reflect the degree of loss of prestress of the pipe pile when it is in use.

[0114] The fourth analysis module is used to analyze the manufacturing loss data and the use loss data to obtain the prestress correction factor.

[0115] The adjustment module is used to adjust the initial prestress reference value based on the prestress correction factor to obtain a final prestress value.

[0116] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0117] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above modules is used as an example for illustration. In practical applications, the above functions can be assigned 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. The modules 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 software functional units. In addition, the specific names of the modules are only for the convenience of distinguishing from each other, and are not used to limit the scope of protection of this application. The specific working process of the modules in the above system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0118] The present application also provides a device for determining the prestress value of a pipe pile. Figure 4 This is a schematic diagram of the structure of a device 6 for determining the prestress value of a pipe pile provided in an embodiment of the present application. Figure 4 As 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), 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 pipe pile prestress value determination device 6 implements the steps in any of the above-mentioned pipe pile prestress value determination method embodiments, or the pipe pile prestress value determination device 6 implements the functions of each module in the above-mentioned system embodiments.

[0119] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the pipe pile prestress value determination device 6.

[0120] The pipe pile prestress value determination device 6 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The pipe pile prestress value determination device can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 4It is only an example of the device 6 for determining the prestress value of the pipe pile, and does not constitute a limitation on the device 6 for determining the prestress value of the pipe pile. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, buses, etc.

[0121] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0122] In some embodiments, the memory 61 may be an internal storage unit of the device 6 for determining the prestress value of the pile, such as a hard disk or memory of the device 6 for determining the prestress value of the pile. In other embodiments, the memory 61 may also be an external storage device of the device 6 for determining the prestress value of the 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 the pile. Further, the memory 61 may also include both an internal storage unit and an external storage device of the device 6 for determining the prestress value of the pile. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), 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.

[0123] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0124] An embodiment of the present application provides a computer program product. When the computer program product runs on a pipe pile prestress value determination device, the pipe pile prestress value determination device implements the steps in any of the above method embodiments.

[0125] If 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, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the prestress value determination device of the pipe pile, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, RandomAccess Memory), an electric carrier signal, a telecommunication signal and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0126] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0127] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0128] In the embodiments provided in the present application, it should be understood that the disclosed equipment and system for determining the prestress value of pipe piles can be implemented in other ways. For example, the embodiments of the system for determining the prestress value of pipe piles described above are merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0129] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0130] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining the prestress value of a pipe pile, characterized in that: include: 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 used to reflect the concrete strength and steel bar information used to reflect the elastic modulus of the steel bar; Analyze the pile information to obtain an initial prestress reference value; Analyze the material information to obtain manufacturing loss data; wherein the manufacturing loss data is used to reflect the loss degree of prestress after the pipe pile is produced; 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; Analyze the manufacturing loss data and the use loss data to obtain a prestress correction factor; The initial prestress reference value is adjusted based on the prestress correction factor to obtain a final prestress value.

2. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that: The analyzing according to the pipe pile information to obtain the initial prestress reference value includes: 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; An initial prestress reference value is obtained by analyzing the design load, the reinforcement ratio and the length-to-straight ratio.

3. The method for determining the prestress value of a pipe pile according to claim 2, characterized in that: The step of analyzing the pile information to obtain the design load includes: Analyze the pile information to obtain a static load, wherein the static load is used to reflect the inherent bearing capacity of the pile; Acquire the use environment information of the pipe pile; wherein the use environment information is used to reflect the geographical environment and building structure where the pipe pile is located; Analyze the use environment information to obtain a dynamic load; wherein the dynamic load is used to reflect the dynamic bearing capacity of the pipe pile when in use; Analyze the static load and the dynamic load to obtain a design load; And / or, the analyzing according to the static load and the dynamic load to obtain the design load comprises: Analyze according to the dynamic load to obtain a dynamic amplification factor; The static load is adjusted based on the dynamic magnification factor to obtain a design load.

4. The method for determining the prestress value of a pipe pile according to claim 3, characterized in that: The analysis based on the design load, the reinforcement ratio and the length-to-straight ratio to obtain the initial prestress reference value includes: Analyze according to the design load to obtain the prestress equivalent; Comparing the reinforcement ratio with a preset threshold, if the reinforcement ratio is less than the preset threshold, analyzing the reinforcement ratio and the length-to-straightness ratio to obtain a compensation coefficient; The prestress equivalent is compensated based on the compensation coefficient to obtain an initial prestress reference value.

5. The method for determining the prestress value of a pipe pile according to claim 4, characterized in that: The compensation coefficient is obtained by analyzing the reinforcement ratio and the length-to-straightness ratio, including: Analyze according to the reinforcement ratio to obtain a lateral compensation coefficient; Analyze according to the length-to-straightness ratio to obtain the longitudinal compensation coefficient; The lateral compensation coefficient and the longitudinal compensation coefficient are weightedly summed to obtain a compensation coefficient.

6. The method for determining the prestress value of a pipe pile according to claim 4, characterized in that: The analysis based on the design load, the reinforcement ratio and the length-to-straight ratio to obtain the initial prestress reference value also includes: If the reinforcement ratio is greater than or equal to the preset threshold, the prestress equivalent is determined as an initial prestress reference value.

7. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that: The step of analyzing the material information to obtain manufacturing loss data includes: Analyze the concrete information according to the material information to obtain an expansion coefficient; Analyze the steel bar information according to the material information to obtain a relaxation coefficient; Based on the prestress loss function, analysis is performed according to the expansion coefficient and the relaxation coefficient to obtain manufacturing loss data.

8. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that: The acquisition of usage loss data based on big data analysis includes: Establishing a multi-physics field coupling model including a mechanical field, a temperature field and an environmental field; wherein the environmental field is constructed according to the geographic environment characteristic parameters in the big data; Perform dynamic simulation based on the multi-physics field coupling model to obtain a stress distribution cloud map; Analyze the stress distribution cloud map to obtain the stress concentration factor of the key area; An analysis is performed based on the stress concentration factor to obtain service loss data.

9. The method for determining the prestress value of a pipe pile according to claim 1, characterized in that: The prestress correction factor is obtained by analyzing the manufacturing loss data and the use loss data, including: Normalizing the manufacturing loss data and the usage loss data to obtain a manufacturing loss factor and a usage loss factor; Calculating the difference between the manufacturing loss factor and the use loss factor to obtain a factor difference; Obtaining a first weight and a second weight based on the factor difference; A prestress correction factor is obtained by performing calculation based on a correction function according to the manufacturing loss factor, the use loss factor, the first weight and the second weight.

10. A device for determining the prestress value of a pipe pile, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 9 when executing the computer program.

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