Construction state prediction system for cast-in-cantilever beam section of large-span bridge

Abstract

The invention discloses a construction state prediction system for a cast-in-cantilever beam section of a large-span bridge, and relates to the technical field of large-span bridge construction. Comprising a data acquisition module, a data preprocessing module, a construction monitoring module, a data analysis module and a risk assessment module which are connected in sequence. According to the method, the construction efficiency can be improved, the construction quality and safety are ensured, meanwhile, real-time scheduling is achieved, and comprehensive monitoring and management support is provided for cantilever pouring beam section construction of a large-span bridge.

Description

Technical Field

[0001] This invention relates to the field of long-span bridge construction technology, and in particular to a construction status prediction system for cantilevered beam segments of long-span bridges. Background Technology

[0002] Cantilever construction of long-span bridges is a common construction method in bridge building. It involves setting up supporting beams on the piers, and then cantilevering and casting the bridge beams onto these beams, gradually extending the bridge segments. This method has advantages such as a short construction period, simple technology, and applicability to different spans and structural forms. However, it also presents some challenges, such as risk control during construction and quality control of the cantilevered beam segments.

[0003] To address these issues, a construction status prediction system is needed. This system monitors and analyzes the construction status of cantilevered beam segments, identifying potential problems and providing early warnings to ensure smooth construction. This system typically combines sensor technology, data acquisition technology, and data processing technology to achieve real-time monitoring and analysis of cantilevered beam segments, thereby improving construction efficiency and quality.

[0004] In terms of technological background, such construction status prediction systems typically leverage advanced technologies such as the Internet of Things, big data, and artificial intelligence to achieve real-time collection, analysis, and processing of various data during the construction process. This enables accurate prediction and monitoring of the construction status of cantilevered beam segments. Through this system, construction teams can promptly identify potential problems, take corresponding measures, improve construction efficiency and quality, and ensure the smooth progress of bridge projects.

[0005] Therefore, proposing a construction status prediction system for cantilevered beam segments of long-span bridges to solve the difficulties of existing technologies is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a construction status prediction system for cantilevered beam segments of long-span bridges, which can promptly identify potential problems, take corresponding measures, improve construction efficiency and quality, and ensure the smooth progress of bridge engineering.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A construction status prediction system for cantilevered beam segments of long-span bridges includes, in sequence: a data acquisition module, a data preprocessing module, a construction monitoring module, a data analysis module, and a risk assessment module.

[0009] The data acquisition module is used to acquire bridge information data of the cantilevered beam segments of the long-span bridge to be constructed.

[0010] The data preprocessing module is used to develop a construction plan and divide the construction stages based on the bridge information data of the cantilevered beam segments of the long-span bridge to be constructed obtained from the data acquisition module.

[0011] The construction monitoring module is used to deploy monitoring plans for each construction stage and obtain real-time construction data for each stage.

[0012] The data analysis module is used to analyze the real-time construction data obtained by the construction monitoring module from each construction stage from the perspectives of construction status and safety, and to obtain construction status progress deviation reports and safety analysis reports for each construction stage.

[0013] The risk assessment module is used to conduct risk assessments and issue early warnings based on construction progress deviation reports and safety analysis reports.

[0014] In the aforementioned system, optionally, the bridge information data for the cantilevered beam segments of long-span bridges in the data acquisition module includes, but is not limited to: the start time of the construction plan, the end time of the construction plan, the scale of the cantilevered beam segments, the construction steps, and the construction efficiency.

[0015] The above system optionally includes a data preprocessing module that generates monitoring files based on finite element analysis of the construction steps, and divides the construction stages, including the substructure construction stage and the cantilever casting of the main beam using a hanging basket.

[0016] The above-mentioned system may optionally include the following construction monitoring modules: a construction environment monitoring unit, a bridge structure status monitoring unit, a personnel monitoring unit, and a material monitoring unit.

[0017] The construction environment monitoring unit is used to acquire environmental data of the construction site, including: construction site weather data, construction site temperature data, construction site humidity data, construction site noise data, construction site lighting data, and construction site soil condition data.

[0018] The bridge structure status monitoring unit is used to acquire structural internal force data, structural stress data, calculated deflection values, formwork elevation data, and alignment data at each construction stage;

[0019] The personnel monitoring unit is used to monitor the personnel's work at the construction site in real time via drones, and to obtain spatial data of the workers;

[0020] The material monitoring unit is used to acquire data on construction materials.

[0021] The aforementioned system may optionally include a construction status analysis unit and a construction safety monitoring unit in its data analysis module.

[0022] The optional construction status analysis unit of the above system includes the following details:

[0023] Based on the structural internal forces, structural stresses, and alignment data during the construction phase, as well as the construction deformation control standards, a preliminary construction state prediction model is constructed, and the preliminary construction state prediction results are obtained through the preliminary construction state prediction model.

[0024] The first construction status prediction model is optimized based on the construction site environmental data to obtain a construction status prediction model that takes into account the influence of environmental factors. The actual construction status prediction report for the corresponding construction stage is output and compared with the planned construction to obtain a construction status progress deviation report.

[0025] Optionally, the above system can be compared with the planned construction, calculating the following, and then verifying the calculation results against the design unit's planned construction.

[0026] (1) Structural internal forces and structural stresses at each construction stage;

[0027] (2) Calculated deflection values ​​of each construction beam segment;

[0028] (3) Elevation of formwork for each construction beam segment.

[0029] Optionally, the above-mentioned system may include a construction safety monitoring unit that combines construction site environmental data obtained by the construction environment monitoring unit with spatial data of workers obtained by the personnel monitoring unit to analyze the safety of the construction site and generate a safety analysis report.

[0030] The above system includes an optional risk assessment module: based on construction progress deviation reports, construction material data, and safety analysis reports, it conducts risk assessments on the construction status, displays the risk assessment results to engineering personnel, and completes real-time scheduling of the construction site.

[0031] As can be seen from the above technical solution, compared with the prior art, the construction status prediction system for cantilevered beam segments of long-span bridges of the present invention has the following beneficial effects:

[0032] Improve construction efficiency: By monitoring and analyzing the construction status in real time, the system can help engineers discover deviations in construction progress and potential problems in a timely manner, thereby adjusting the construction plan in a timely manner, improving construction efficiency, and ensuring that the project is completed on time.

[0033] Ensuring construction quality: The system can calculate the internal forces, stresses, deflection values, and formwork elevations at each construction stage, and verify them against the design unit's planned construction, thereby ensuring that the construction quality meets the design requirements.

[0034] Improving construction safety: By combining environmental data and personnel monitoring data through the construction safety monitoring unit, the safety level of the construction site is analyzed to obtain a safety analysis report, which helps engineering personnel to identify potential safety hazards at the construction site in a timely manner and ensure the safety of the construction process;

[0035] Real-time scheduling: The risk assessment module can conduct risk assessments on the construction status based on construction progress deviation reports, construction material data, and safety analysis reports, and display the assessment results to engineering personnel to help achieve real-time scheduling of the construction site and respond to risks in a timely manner. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0037] Figure 1 A structural block diagram of a construction status prediction system for cantilevered beam segments of long-span bridges provided by the present invention.

[0038] Figure 2 The structural block diagram of the construction monitoring module provided by the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] In this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0041] Reference Figure 1As shown, this invention discloses a construction status prediction system for cantilevered beam segments of long-span bridges, comprising, in sequence: a data acquisition module, a data preprocessing module, a construction monitoring module, a data analysis module, and a risk assessment module;

[0042] The data acquisition module is used to acquire bridge information data of the cantilevered beam segments of the long-span bridge to be constructed.

[0043] The data preprocessing module is used to develop a construction plan and divide the construction stages based on the bridge information data of the cantilevered beam segments of the long-span bridge to be constructed obtained from the data acquisition module.

[0044] The construction monitoring module is used to deploy monitoring plans for each construction stage and obtain real-time construction data for each stage.

[0045] The data analysis module is used to analyze the real-time construction data obtained by the construction monitoring module from each construction stage from the perspectives of construction status and safety, and to obtain construction status progress deviation reports and safety analysis reports for each construction stage.

[0046] The risk assessment module is used to conduct risk assessments and issue early warnings based on construction progress deviation reports and safety analysis reports.

[0047] Furthermore, the bridge information data for the cantilevered beam segments of long-span bridges in the data acquisition module includes, but is not limited to: the start time of the construction plan, the end time of the construction plan, the scale of the cantilevered beam segments, the construction steps, and the construction efficiency.

[0048] Specifically, relevant information is extracted from the construction plan of the cantilever beam segment of the long-span bridge to determine the start time, end time, scale of the cantilever beam segment, and construction steps; and the planned construction efficiency is calculated.

[0049] Furthermore, the data preprocessing module generates monitoring files based on the finite element analysis of the construction steps, and divides the construction stages, including the substructure construction stage and the cantilever casting of the main beam using hanging baskets.

[0050] Specifically, before construction control begins, a full-process simulation calculation of the structure is performed based on the construction drawings and plans. The calculations are conducted using the bridge finite element analysis software Midas Civil 2022, and verified using Ansys modeling. First, a three-dimensional model of the bridge is created in the finite element software, including the bridge's structure, material properties, supports, etc., ensuring the model accurately reflects the actual situation. Load analysis: Based on the actual construction steps, the load conditions for each construction stage are determined, such as self-weight, construction loads, and concrete pouring loads. These loads are applied to the model for load analysis, and finite element analysis is performed on each construction stage, considering deformation, stress, displacement, etc., during construction.

[0051] Furthermore, such as Figure 2 As shown, the construction monitoring module includes: a construction environment monitoring unit, a bridge structure status monitoring unit, a personnel monitoring unit, and a material monitoring unit;

[0052] The construction environment monitoring unit is used to acquire environmental data of the construction site, including: construction site weather data, construction site temperature data, construction site humidity data, construction site noise data, construction site lighting data, and construction site soil condition data.

[0053] The bridge structure status monitoring unit is used to acquire structural internal force data, structural stress data, calculated deflection values, formwork elevation data, and alignment data at each construction stage;

[0054] The personnel monitoring unit is used to monitor the personnel's work at the construction site in real time via drones, and to obtain spatial data of the workers;

[0055] The material monitoring unit is used to acquire data on construction materials.

[0056] Specifically, the construction environment monitoring unit includes: installing environmental monitoring equipment such as weather stations, temperature and humidity sensors, and noise monitors around the construction site to monitor environmental data in real time; data analysis and early warning: the monitoring center analyzes the environmental data, promptly detects abnormal environmental conditions, and issues early warnings to ensure construction safety and quality.

[0057] The bridge structural condition monitoring unit is divided into stress monitoring and linear monitoring. Stress monitoring further includes the layout of monitoring control sections for piers, main beams, and large temporary facilities related to the safety of the main construction structure; the layout of monitoring points; monitoring conditions and frequencies; and the selection and resolution of monitoring equipment. Linear monitoring also includes the layout of monitoring control sections for piers, main beams, and large temporary facilities related to the safety of the main construction structure; the layout of monitoring points; monitoring conditions and frequencies; and the selection and resolution of monitoring equipment. Simultaneously, various sensors and monitoring equipment, such as stress sensors, deflection sensors, and temperature sensors, are installed on the bridge structure for real-time monitoring of the structural condition. The data collected by the sensors is transmitted to the monitoring center via wired or wireless means to ensure the timeliness and accuracy of the data.

[0058] Personnel monitoring unit: Monitoring using drones: Drones equipped with cameras and positioning systems can monitor personnel activities at the construction site in real time, ensuring the safety of construction workers.

[0059] Material monitoring unit: Installation of material monitoring equipment: Weighing sensors, flow meters and other equipment are installed at material usage points to monitor the material usage in real time; Data acquisition and transmission: The monitored material data is transmitted to the monitoring center to realize real-time monitoring and management of material usage.

[0060] Furthermore, the data analysis module includes a construction status analysis unit and a construction safety monitoring unit.

[0061] Furthermore, the specific contents of the construction status analysis unit are as follows:

[0062] Based on the structural internal forces, structural stresses, and alignment data during the construction phase, as well as the construction deformation control standards, a preliminary construction state prediction model is constructed, and the preliminary construction state prediction results are obtained through the preliminary construction state prediction model.

[0063] The first construction status prediction model is optimized based on the construction site environmental data to obtain a construction status prediction model that takes into account the influence of environmental factors. The actual construction status prediction report for the corresponding construction stage is output and compared with the planned construction to obtain a construction status progress deviation report.

[0064] Specifically, temperature testing mainly includes temperature field testing of the concrete main beam and real-time ambient humidity. During construction, temperature measurements are conducted twice per segment, during segment assembly and prestressing tensioning adjustments; continuous temperature field observations are performed two days before closure. The measurement scope covers all constructed structural elements.

[0065] In principle, continuous temperature field observation is carried out on the entire bridge under two weather conditions each quarter. At the same time, the main beam alignment, pier displacement, and stress are measured simultaneously. The relationship between the above parameters and the temperature field distribution is identified to correct the calculation method and parameters of the temperature influence in the calculation model, and to guide the temperature correction of the command parameters.

[0066] Ambient temperature measurements are conducted at each construction control stage. According to the construction schedule, the construction unit and monitoring unit respectively complete temperature data collection and submit the data to the construction monitoring team along with the control measurement reports. Through temperature monitoring, the distribution pattern of the temperature field is understood, and the impact of temperature on the deformation of the main beam during construction can be predicted through theoretical analysis. This allows for timely and intuitive evaluation of stress and deformation during construction; it also allows for analysis and prediction of the impact of temperature on the main bridge construction stages to ensure the bridge can be constructed across seasons and in all weather conditions; and it predicts the extreme temperature loads that may occur during construction.

[0067] Furthermore, compare the results with the planned construction, calculate the following, and then verify the calculation results against the design unit's planned construction.

[0068] (1) Structural internal forces and structural stresses at each construction stage;

[0069] (2) Calculated deflection values ​​of each construction beam segment;

[0070] (3) Elevation of formwork for each construction beam segment.

[0071] Specifically, the purpose of construction monitoring is to effectively monitor, analyze, calculate, and predict the internal forces and deformation state of the structure during bridge construction through on-site monitoring and monitoring calculations, and to provide construction monitoring information (such as the arch rib and main beam alignment, cable tensioning tonnage, etc.) to ensure the safety of the entire structure during construction and ultimately achieve the designed bridge target state.

[0072] To meet the stress testing requirements of key sections in construction monitoring, this plan focuses on observing whether the normal stress of the box girder section is within the design requirements during construction, and also observes the stress changes of the box girder under dead load, system transformation and other effects. The following stress testing details are hereby formulated.

[0073] The arrangement of stress monitoring sections for long-span bridges should consider the most unfavorable stress section and the typical section of the structure. The arrangement of monitoring sections should meet, but is not limited to, the following requirements:

[0074] (1) Layout of stress monitoring sections for bridge piers

[0075] For long-span continuous rigid frame bridges, stress monitoring of the main piers is required, and the monitoring sections should be located near the bottom and top of the pier columns.

[0076] (2) Layout of stress monitoring sections for main beam

[0077] The monitoring sections of the main beam should be located near the supports, L / 4, L / 2, and 3L / 4. For main beams with a span exceeding 150m, the monitoring sections should be densely arranged at L / 8 and 3L / 8.

[0078] (3) Layout of stress monitoring sections for large temporary facilities that affect the safety of the main construction structure

[0079] (4) The arrangement of stress monitoring points on long-span bridges should meet, but is not limited to, the following requirements:

[0080] (4-1) Stress measuring points should be arranged at the upper and lower edges of the control section.

[0081] (4-2) There should be no fewer than 4 stress measurement points on a test section.

[0082] (5) Stress measuring point arrangement

[0083] (5-1) Stress measurement points for pier columns should be arranged in the four corner areas of the cross section.

[0084] (5-2) Stress measurement points of the main beam should be arranged on the upper and lower edges of the web and the top and bottom plates of the intermediate box girder.

[0085] Furthermore, the construction safety monitoring unit combines the construction site environmental data obtained by the construction environment monitoring unit with the spatial data of workers obtained by the personnel monitoring unit to analyze the safety of the construction site and obtain a safety analysis report.

[0086] (6) Measuring instruments and components

[0087] The stress gauge is fixed to the main reinforcement in the predetermined testing direction, and the test wire is led to the concrete surface. Specifically, the support section and the mid-span closure section of each span of the box girder are selected as control sections, and the measuring points are arranged at the upper and lower edges of the sections.

[0088] Embedded strain gauges were used for testing. To achieve both accurate characterization of the beam's stress state and economic efficiency, a method of pre-embedding strain gauges within the beam was employed to monitor beam stress. The strain gauge readings were stable, and the test data were reliable. The installation of testing instruments and measuring points should adhere to the following principles:

[0089] 1) Vibrating wire concrete strain gauges must be fixed to ordinary reinforcing bars at predetermined locations in the predetermined testing direction to ensure they do not loosen during concrete construction; the test leads should extend beyond the surface of the box girder (pier top). Inside each wall panel of the box girder, the test leads should extend along the corresponding ordinary reinforcing bars and be securely tied with wire at intervals;

[0090] 2) The test conductors should extend at least 100mm beyond the top surface of the box girder. There must be a practical method to ensure that the test conductor numbering markings are waterproof and protected from damage.

[0091] 3) Before embedding the concrete sensors, each sensor must be tested and a test record must be made;

[0092] 4) When the construction reaches the monitoring point setup stage, the construction unit should notify the construction control team in advance to install and set up strain gauges on site. During concrete construction, excessive vibration should be avoided, especially near the connection between the concrete sensor and the conductor. Strain gauges and test leads should be kept away from the vibration direction to prevent damage to the test leads due to changes in sensor orientation during vibration. Construction personnel should take special care not to step on the test leads on site. If any damage to strain gauges, sensors, or conductors is found on site, the construction control team should be notified as soon as possible so that remedial measures can be taken.

[0093] Furthermore, the risk assessment module assesses the risks of construction based on progress deviation reports, material usage data, and safety analysis reports. The results are then presented to engineers to enable real-time scheduling of the construction site.

[0094] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0095] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A construction status prediction system for cantilevered beam segments of long-span bridges, characterized in that, It includes, in sequence, the following modules: data acquisition module, data preprocessing module, construction monitoring module, data analysis module, and risk assessment module; Among them, the data acquisition module is used to acquire bridge information data of the cantilever cast beam segments of the long-span bridge to be constructed; The data preprocessing module is used to develop a construction plan and divide the construction stages based on the bridge information data of the cantilevered beam segments of the long-span bridge to be constructed obtained from the data acquisition module. The construction monitoring module is used to deploy monitoring plans for each construction stage and obtain real-time construction data for each stage. The data analysis module is used to analyze the real-time construction data obtained by the construction monitoring module from each construction stage from the perspectives of construction status and safety, and to obtain construction status progress deviation reports and safety analysis reports for each construction stage. The risk assessment module is used to conduct risk assessments and issue early warnings based on construction progress deviation reports and safety analysis reports.

2. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 1, characterized in that, The bridge information data for cantilevered beam segments of long-span bridges in the data acquisition module includes, but is not limited to: the start time of the construction plan, the end time of the construction plan, the scale of the cantilevered beam segment, the construction steps, and the construction efficiency.

3. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 2, characterized in that, The data preprocessing module generates monitoring files based on the finite element analysis construction steps and divides the construction stages, including the substructure construction stage and the cantilever casting of the main beam using hanging baskets.

4. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 3, characterized in that, The construction monitoring module includes: a construction environment monitoring unit, a bridge structure status monitoring unit, a personnel monitoring unit, and a material monitoring unit; The construction environment monitoring unit is used to acquire environmental data of the construction site, including: construction site weather data, construction site temperature data, construction site humidity data, construction site noise data, construction site lighting data, and construction site soil condition data. The bridge structure status monitoring unit is used to acquire structural internal force data, structural stress data, calculated deflection values, formwork elevation data, and alignment data at each construction stage; The personnel monitoring unit is used to monitor the personnel's work at the construction site in real time via drones, and to obtain spatial data of the workers; The material monitoring unit is used to acquire data on construction materials.

5. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 4, characterized in that, The data analysis module includes a construction status analysis unit and a construction safety monitoring unit.

6. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 5, characterized in that, The specific contents of the construction status analysis unit are as follows: Based on the structural internal forces, structural stresses, and alignment data during the construction phase, as well as the construction deformation control standards, a preliminary construction state prediction model is constructed, and the preliminary construction state prediction results are obtained through the preliminary construction state prediction model. The first construction status prediction model is optimized based on the construction site environmental data to obtain a construction status prediction model that takes into account the influence of environmental factors. The actual construction status prediction report for the corresponding construction stage is output and compared with the planned construction to obtain a construction status progress deviation report.

7. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 6, characterized in that, Compared with the planned construction, calculate the following: (1) Structural internal forces and structural stresses at each construction stage; (2) Calculated deflection values ​​of each construction beam segment; (3) Elevation of formwork for each construction beam segment; The calculation results were then compared with the design unit's planned construction.

8. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 7, characterized in that, The construction safety monitoring unit combines the construction site environmental data obtained by the construction environment monitoring unit with the spatial data of the workers obtained by the personnel monitoring unit to analyze the safety of the construction site and generate a safety analysis report.

9. The construction status prediction system for cantilevered beam segments of long-span bridges according to claim 8, characterized in that, Risk assessment module: Based on the construction status progress deviation report, construction material data and safety analysis report, the module conducts risk assessment of the construction status, displays the risk assessment results to the engineering personnel, and completes real-time scheduling of the construction site.

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