Support-free formwork system for post-cast strip and construction method

Abstract

The invention provides a support-free formwork system for a post-cast strip and a construction method, and relates to the technical field of building construction. The support-free formwork system for the post-cast strip and the construction method comprise the following steps that S1, on the basis of BIM model data, a variable density method topological optimization algorithm is adopted for formwork unit design, a lightweight structure of a modular formwork is generated through a parametric modeling technology, and a finite element analysis method is applied to verify the structural strength; and generating a parameterized template layout scheme. Through combination of a variable density method topological optimization algorithm and a parametric modeling technology, lightweight design of a template unit is realized, the material consumption is reduced on the premise of ensuring the structural strength, the design reliability is ensured through verification of a finite element analysis method, and the processing logic breaks through a traditional empirical design mode and has a good application prospect. A heuristic path planning algorithm and a laser positioning system work cooperatively, the three-dimensional assembly precision is improved, the mechanical connection stability is guaranteed through a torque control method, and a space self-locking network is formed.

Description

Technical Field

[0001] The invention relates to the technical field of building construction, in particular to a support-free formwork system for a post-cast strip and a construction method. Background Art

[0002] The field of building construction technology involves special construction techniques in concrete structure engineering, focusing on solving key technical problems such as building structure joint treatment, concrete shrinkage compensation, and temperature stress release. Special attention is paid to the formwork support, concrete pouring quality control, and structural integrity assurance of temporary structural joints such as post-casting strips. Among them, a support-free formwork system and construction method for post-casting strips refers to a new formwork system that combines modular prefabricated components with intelligent adjustment devices. Its purpose is to achieve the purpose of pouring concrete in post-casting strips without the need for additional support structures. Through the self-anchoring mechanism and deformation compensation function, it can ensure the accuracy of formwork positioning and adapt to structural deformation, effectively solving the problems of traditional support system demoulding difficulties and interference with subsequent construction. It is particularly suitable for the rapid construction scenarios of settlement post-casting strips and expansion post-casting strips of high-rise buildings.

[0003] Traditional post-cast joint construction relies on a rigid support system. Formwork installation requires a large number of temporary supports, which consumes construction space and impacts subsequent cross-processing. For example, rebar binding and pipeline pre-embedding must wait until the supports are removed, extending construction time. The connection between wooden and steel formwork relies on manual labor, and assembly precision is limited by the workers' skill level. This can easily lead to joint misalignment, resulting in concrete leaks and requiring secondary repairs, which increases costs. The existing support system lacks a deformation-adaptive mechanism. Shrinkage stress generated during concrete solidification can easily cause formwork deformation, resulting in structural dimensional deviations and requiring subsequent chiseling, impacting building quality. Mechanical prying during formwork removal exerts impact loads on concrete edges, easily causing chipping and corners, and increasing labor and material input for repairs. The formwork system has a low reuse rate, requiring customized support components for different projects, resulting in high material turnover costs and failing to meet green construction requirements. Monitoring methods are limited to manual observation and simple instrument measurements, which cannot provide real-time insights into stress distribution and deformation trends, leading to delayed detection of safety hazards. Summary of the Invention

[0004] In response to the deficiencies in the prior art, the present invention provides a support-free formwork system and construction method for post-cast strips, which solve the problems that traditional post-cast strip construction relies on a rigid support system, the installation of the formwork requires a large number of temporary brackets, which takes up construction space and affects the cross-operation of subsequent processes. For example, steel bar binding and pipeline pre-embedding must wait until the support is removed before they can be carried out, which prolongs the construction period. The connection between the wooden formwork and the steel formwork relies on manual operation, the assembly accuracy is restricted by the workers' technical level, and it is easy to cause joint misalignment, resulting in concrete leakage, requiring secondary repairs, and increasing costs.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A construction method for a support-free formwork system for a post-cast strip, comprising the following steps: S1: Based on BIM model data, the variable density method topology optimization algorithm is used to design the formwork unit. The lightweight structure of the modular formwork is generated through parametric modeling technology. The finite element analysis method is applied to verify the structural strength and generate a parametric formwork layout plan. S2: Based on the layout plan, a heuristic path planning algorithm is used to perform 3D assembly simulation. A laser positioning system is used to guide on-site installation, and a torque control method is applied to ensure reliable connection of mechanical snap fasteners, forming a spatial self-locking template network. S3: Based on installation data, the strain energy density equilibrium algorithm is used to calculate the prestress distribution. Bidirectional prestress is applied through a hydraulic synchronous tensioning system. Distributed fiber optic sensing technology is used to monitor stress transfer in real time to establish a self-balancing load-bearing system. S4: Based on stress monitoring data, an improved Kalman filter algorithm is used to predict structural deformation trends. The adjustment device is driven by a micro-electro-hydraulic servo system, and the fuzzy PID control method is applied to achieve dynamic compensation of the template inclination angle, thus obtaining a deformation-adaptive template system. S5: Based on deformation compensation records, the phase change temperature control method is used to activate the shape memory alloy lock. The demolding process is monitored by infrared thermal imaging technology, and the degree of demolding completion is determined by mechanical vibration monitoring, thus achieving non-contact intelligent demolding. S6: Based on demoulding status data, multispectral image recognition technology is used to detect interface residues, a UV light intensity adaptive algorithm is used to trigger the decomposition of the photosensitive coating, and pneumatic stripping technology is applied to complete the final cleaning, achieving a zero-damage concrete interface.

[0006] Preferably, the parameterized template layout scheme generated based on S1 includes the following steps: S101: Based on the BIM model point cloud data, a point cloud denoising algorithm is used to clean the data, and feature extraction technology is used to identify the boundary features of the post-casting strip to generate standardized BIM structure data; S102: Based on the structural data, a variable density method topology optimization is used for lightweight design. A honeycomb reinforcement rib structure is generated under stress constraints to form a three-dimensional model of the lightweight template unit. S103: Based on the unit model, apply parametric drive technology to generate a module combination scheme, verify the structural stiffness through finite element analysis, and output a parametric template layout scheme.

[0007] Preferably, forming a spatial self-locking template network based on S2 comprises the following steps: S201: Based on the layout plan, an improved A* algorithm is used to plan the assembly path, and a collision detection algorithm is used to avoid structural interference to generate the optimal three-dimensional assembly path; S202: Based on path data, laser SLAM positioning technology is applied to guide the installation of the mechanical arm, point cloud matching algorithm is used to realize accurate positioning of the template, and high-precision module positioning is completed; S203: Based on installation positioning, torque closed-loop control method is used to operate the rotating buckle, strain sheet monitoring technology is used to verify the connection reliability, and a spatial self-locking template network is formed.

[0008] Preferably, the establishment of the self-balancing bearing system based on S3 includes the following steps: S301: Based on the template network, strain energy density balancing algorithm is applied to calculate the prestress distribution, Monte Carlo simulation is used to verify the robustness of the scheme, and the prestress distribution optimization scheme is generated; S302: Based on the optimization scheme, hydraulic synchronous control technology is used to implement tensioning, pressure sensor array is used to monitor the loading process, and bidirectional prestress is applied; S303: Based on the loading data, distributed optical fiber sensing technology is applied to monitor stress transmission, wavelet packet analysis algorithm is used to identify abnormal signals, and a self-balancing bearing system is established.

[0009] Preferably, the deformation adaptive template system based on S4 includes the following steps: S401: Based on the monitoring data, improved Kalman filter algorithm is used to predict the deformation trend, finite difference method is used to calculate the compensation amount, and a set of deformation compensation parameters is generated; S402: Based on the parameter set, electro-hydraulic servo control technology is applied to drive the adjusting device, laser displacement sensor is used to feedback the adjustment amount, and millimeter-level deformation compensation is realized; S403: Based on the compensation data, fuzzy PID control algorithm is used to optimize the control parameters, Lyapunov stability analysis is used to verify the convergence of the system, and a deformation adaptive template system is formed.

[0010] Preferably, the implementation of non-contact intelligent demolding based on S5 includes the following steps: S501: Based on the system state, phase change temperature PID control method is used to heat the SMA element, thermocouple array is used to monitor the temperature field, and a temperature field distribution cloud map is generated; S502: Based on the temperature data, infrared thermal imaging technology is applied to detect the demolding process, image segmentation algorithm is used to identify the demolding boundary, and a demolding state evaluation report is obtained; S503: Based on the evaluation report, vibration spectrum analysis method is used to judge the demolding completion degree, acoustic emission sensor is used to capture the interface separation signal, and non-contact intelligent demolding is realized.

[0011] Preferably, the realization of zero-damage concrete interface based on S6 includes the following steps: S601: Based on the demolding status, the interface is scanned using multispectral imaging technology, and the residue type is classified using a convolutional neural network to generate an interface defect distribution map. S602: Based on defect data, a UV light intensity fuzzy control algorithm is used to trigger coating decomposition. The irradiance sensor ensures complete reaction and completes the controlled stripping of the photosensitive coating. S603: Based on the stripping effect, pneumatic pulse cleaning technology is applied to deal with the residue, and the interface quality is verified by a surface roughness meter to achieve a zero-damage concrete interface.

[0012] The support-free formwork body for a post-cast strip includes a construction method of a support-free formwork system for a post-cast strip according to any one of claims 1 to 7.

[0013] This invention provides a support-free formwork system and construction method for post-cast strips. It offers the following beneficial effects: By combining a variable density topology optimization algorithm with parametric modeling technology, the invention achieves lightweight formwork unit design, reducing material usage while ensuring structural strength. Finite element analysis verification ensures design reliability, and this processing logic breaks through traditional empirical design models. A heuristic path planning algorithm works in conjunction with a laser positioning system to improve three-dimensional assembly accuracy. A torque control method ensures mechanical connection stability, forming a spatial self-locking network and addressing the low efficiency and error accumulation issues of traditional manual assembly. A strain energy density balancing algorithm optimizes prestress distribution. A hydraulic synchronous tensioning system, combined with distributed fiber optic monitoring, establishes a self-balancing system, eliminating the risk of localized stress concentration. An improved Kalman filter algorithm predicts deformation trends, an electro-hydraulic servo system achieves dynamic compensation, and fuzzy PID control ensures adjustment accuracy, enabling the formwork system to adapt to deformation. Phase change temperature control activates shape memory alloys, and infrared thermal imaging combined with vibration monitoring enables contactless demolding, preventing mechanical damage. Multispectral recognition and ultraviolet light intensity regulation technology collaborate to precisely remove interface residues, and pneumatic stripping technology ensures concrete surface integrity. Through algorithm chain calls and data closed-loop feedback, each link forms an intelligent construction system, which improves overall construction efficiency, reduces material loss, and enhances structural safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the main steps of the present invention; Figure 2 This is a schematic diagram of the refinement of S1 of the present invention; Figure 3 This is a schematic diagram of the refinement of S2 of the present invention; Figure 4 This is a schematic diagram of the refinement of S3 of the present invention; Figure 5 This is a schematic diagram of the refinement of S4 of the present invention; Figure 6 This is a schematic diagram of the refinement of S5 of the present invention; Figure 7 This is a detailed schematic diagram of S6 of the present invention. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0016] Example: like Figure 1-7 As shown, an embodiment of the present invention provides a construction method of a support-free formwork system for a post-cast strip, comprising the following steps: S1: Based on BIM model data, the variable density method topology optimization algorithm is used to design the formwork unit. The lightweight structure of the modular formwork is generated through parametric modeling technology. The finite element analysis method is applied to verify the structural strength and generate a parametric formwork layout plan. Based on the BIM model data, the geometric parameters of the post-casting strip were extracted. The neighborhood radius of the point cloud denoising algorithm was set to 5 mm and the minimum point number threshold was set to 15. The random sampling consistency algorithm was used to iterate 1000 times to extract the plane features to generate the boundary coordinate set. The coordinate set was input into the parametric modeling software. The template unit thickness was set to 8 mm and the rib spacing was set to 50 mm. After the three-dimensional model was generated, a 20 kN / m 2 Finite element analysis was performed on the uniformly distributed load, and the calculated maximum equivalent stress of 58 MPa was less than the yield strength of Q235 steel 235 MPa, with a safety factor of 4.05. The output was a layout plan containing 32 standard modules.

[0017] S2: Based on the layout plan, a heuristic path planning algorithm is used to perform 3D assembly simulation. A laser positioning system is used to guide on-site installation, and a torque control method is applied to ensure reliable connection of mechanical snap fasteners, forming a spatial self-locking template network. Based on the three-dimensional coordinate data of the layout plan, an octree spatial index structure was constructed. The heuristic function weight of the path planning algorithm was set to 0.7, and the collision detection threshold was set to 10 mm. An optimal assembly sequence containing 78 path nodes was generated. A laser positioning system emitted a scanning beam with a wavelength of 905 nm. Template positioning was achieved through an iterative closest point algorithm, with a positioning error controlled to ±0.8 mm. A digital torque wrench was used to apply a connection torque of 5 N·m. The strain gauge monitored the peak stress at the connection, which was 112 MPa, less than the allowable stress of 160 MPa.

[0018] S3: Based on the installation data, the strain energy density equilibrium algorithm is used to calculate the prestress distribution, bidirectional prestress is applied through the hydraulic synchronous tensioning system, and distributed optical fiber sensing technology is used to monitor the stress transmission in real time to establish a self-balancing load-bearing system; the strain energy density equilibrium algorithm is used to calculate the prestress distribution, according to the formula Calculate the prestress value. Where σ represents the final prestress value, E represents the elastic modulus of concrete, ε represents the measured strain value, α represents the prestress transfer coefficient, σ_pre represents the initial prestress, and β represents the strain correction factor.

[0019] The elastic modulus E was obtained through a 28-day compressive strength test of concrete. The measured value for C40 concrete was 32.5 GPa. The measured strain ε was collected by distributed fiber optic sensors with a sampling interval of 0.5 m and a typical value of 450 με (0.00045). The initial prestress σ_pre was taken as 0.75 times the ultimate strength of the steel strand according to the design specifications, corresponding to 1395 MPa for 1860 MPa-grade steel strand. The prestress transfer coefficient α was determined through anchor efficiency testing and was taken as 0.96 for clip-type anchors. The strain correction factor β was calculated based on the strain gradient using the formula β = Δε_max / ε_avg, where Δε_max is the maximum strain difference of 120 με and ε_avg is the average strain of 450 με. The calculated value is β = 0.267. Substituting this into the formula: σ = (32.5 × 10^3 × 0.00045 + 0.96 × 1395) / (1 + 0.267 × 0.00045) 2 )=(14.625+1339.2) / (1+0.267×2.025×10^-7)=1353.825 / 1.000000054=1353.82MPaThe result shows that the calculated prestress value of 1353.82MPa meets the design requirement of 0.72 times the ultimate strength of the steel strand (1339.2MPa), verifies the rationality of the prestress distribution, and provides data support for establishing a self-balancing load-bearing system.

[0020] S4: Based on stress monitoring data, an improved Kalman filter algorithm is used to predict the structural deformation trend. The adjustment device is driven by a micro electro-hydraulic servo system, and the fuzzy PID control method is applied to achieve dynamic compensation of the template inclination, thus obtaining a deformation adaptive template system. A state-space model was constructed based on fiber optic sensing data. The process noise covariance of the Kalman filter was set to 0.01, and the observation noise covariance was set to 0.05. The deformation trend in the next three hours was predicted. The central difference method was used to calculate the compensation amount, with a step size of 0.1 mm. A compensation instruction set was generated. After receiving the instruction, the electro-hydraulic servo system adjusted the template inclination with an accuracy of 0.05 mm / step. The displacement sensor provided real-time feedback data, and the fuzzy PID controller adjusted the proportional coefficient Kp to 2.5 and the integral time Ti to 0.8 s.

[0021] S5: Based on the deformation compensation record, activate the shape memory alloy lock with phase transition temperature control method, monitor the demolding process through infrared thermal imaging technology, and judge the demolding completion degree by mechanical vibration monitoring method to realize non-contact intelligent demolding; collect the template system temperature data, set the proportional band of PID controller to 8%, the integral time to 120s, heat the SMA element to the phase transition temperature of 65℃, the infrared thermal imager collects the temperature field at a frequency of 30Hz, the image segmentation algorithm sets the gray threshold to 128, extracts the demolding boundary profile, and the vibration sensor collects the 0-2kHz band signal, calculates the power spectral density peak frequency of 325Hz to trigger the demolding instruction.

[0022] S6: Based on the demolding state data, detect the interface residue by using multispectral image recognition technology, trigger the photosensitive coating decomposition by using ultraviolet light intensity adaptive algorithm, and complete the final cleaning by using pneumatic stripping technology to achieve zero-damage concrete interface.

[0023] The multispectral camera collects 400-1000nm band images, the convolutional neural network sets the convolution kernel size to 3x3, the pooling layer step to 2, and the classification output photosensitive coating residue area, the ultraviolet light intensity controller adjusts the output intensity to 30-50mW / cm 2 , the pneumatic nozzle sprays air flow at a pressure of 0.35MPa, and the surface roughness detector measures the Ra value of 2.8μm.

[0024] The parameterized template layout scheme based on S1 includes the following steps: S101: Based on the BIM model point cloud data, use point cloud denoising algorithm for data cleaning, identify the post-pouring belt boundary features through feature extraction technology, and generate standardized BIM structure data; Use the point cloud denoising algorithm based on radius filtering, set the neighborhood radius to 5mm and the minimum point number threshold to 15, and eliminate the BIM model scanning noise. Extract the plane features through RANSAC algorithm, identify the post-pouring belt boundary profile, and generate standardized structure data with an error of ≤2mm.

[0025] S102: Based on the structure data, use variable density method for topology optimization for lightweight design, generate honeycomb rib structure through stress constraint condition, and form lightweight template unit three-dimensional model; Apply variable density method (SIMP) for continuum topology optimization, set the material density threshold to 0.3, and the stress constraint condition to σ_max≤160MPa. After optimization, the template unit mass is reduced by 42%, the honeycomb rib wall thickness is 3mm, the rib spacing is 50mm, and the lightweight structure with bending stiffness ≥8×10^4N·m 2 is formed.

[0026] S103: Based on the unit model, apply parametric drive technology to generate a module combination scheme, verify the structural stiffness through finite element analysis, and output a parametric template layout scheme.

[0027] Six module combination schemes were generated by parametric drive technology, and static analysis was performed using ANSYS to verify that the load at 20kN / m 2 The maximum deformation under load is ≤2.5mm, and the optimized layout scheme with a safety factor of 2.2 is finally selected.

[0028] The formation of a spatial self-locking template network based on S2 includes the following steps: S201: Based on the layout plan, an improved A* algorithm is used to plan the assembly path, and a collision detection algorithm is used to avoid structural interference to generate the optimal three-dimensional assembly path; The improved A* algorithm introduced a three-dimensional Manhattan distance heuristic function, setting the cost factors α = 0.8 and β = 0.2. The GJK algorithm was used to detect the minimum spacing between modules ≥ 10 mm, and an optimal assembly route containing 78 path nodes was generated.

[0029] S202: Based on the path data, laser SLAM positioning technology is applied to guide the installation of the robotic arm, and the template is accurately positioned through the point cloud matching algorithm to complete the high-precision module placement; The laser SLAM system uses a 905nm wavelength laser with a 30Hz scanning frequency, combined with an ICP algorithm to achieve point cloud matching, with a positioning accuracy of ±0.8mm. The robotic arm has a repeatability error of ≤0.05mm, allowing it to precisely position 356 modules.

[0030] S203: Based on the installation positioning, the torque closed-loop control method is used to operate the rotating clip, and the connection reliability is verified by strain gauge monitoring technology to form a spatial self-locking template network.

[0031] The torque closed-loop control system presets a target value of 5N·m, and the PID parameters Kp=2.5, Ki=0.1, and Kd=0.3. The strain gauge monitors the stress at the connection ≤120MPa, forming a load-bearing capacity ≥50kN / m 2 Space self-locking network.

[0032] Building a self-balancing load-bearing system based on S3 includes the following steps: S301: Based on the template network, the strain energy density equilibrium algorithm is applied to calculate the prestress distribution, the robustness of the scheme is verified through Monte Carlo simulation, and the prestress distribution optimization scheme is generated; The strain energy density equilibrium algorithm calculated the optimal prestressing force to be 12 kN. Monte Carlo simulations, performed over 500 iterations, verified the proposed solution to be 99.7% reliable. Eight prestressing anchor points were set to form a bidirectional cross-tensioning grid.

[0033] S302: Based on the optimization plan, hydraulic synchronous control technology is used to implement tensioning, and the loading process is monitored by a pressure sensor array to complete the application of bidirectional prestressing; The hydraulic system uses CAN bus communication, with a synchronization error of ≤1.8%. A pressure sensor array (range 0-20MPa, accuracy 0.05) monitors the loading process, and bidirectional prestressing is completed in 20 minutes.

[0034] S303: Based on the loading data, distributed fiber optic sensing technology is used to monitor stress transfer, abnormal signals are identified through wavelet packet analysis algorithm, and a self-balancing load-bearing system is established.

[0035] The distributed fiber optic sensing system has a spatial resolution of 1 meter and a sampling rate of 100 Hz. Wavelet packet analysis extracts detail coefficients from layers 3-5, successfully identifying abnormal microcracks at the 0.5 mm level.

[0036] The S4-based deformable adaptive template system includes the following steps: S401: Based on the monitoring data, an improved Kalman filter algorithm is used to predict the deformation trend, and the compensation amount is calculated by the finite difference method to generate a deformation compensation parameter set; An improved Kalman filter with an adaptive Q matrix reduced the prediction error to 0.12 mm. Finite difference calculations yielded a maximum compensation of 4.3 mm, generating a compensation dataset containing 32 sets of parameters.

[0037] S402: Based on the parameter set, the electro-hydraulic servo control technology is applied to drive the adjustment device, and the adjustment amount is fed back by the laser displacement sensor to achieve millimeter-level deformation compensation; The electro-hydraulic servo system has a frequency response of 12Hz, and the displacement sensor has a resolution of 0.005mm. After compensation, the template flatness error is ≤0.15mm / m, meeting the GB50204-2015 acceptance standard.

[0038] S403: Based on the compensation data, the fuzzy PID control algorithm is used to optimize the control parameters, and the system convergence is verified through Lyapunov stability analysis to form a deformation adaptive template system.

[0039] The fuzzy PID controller sets 7 membership functions. Lyapunov analysis proves that the system converges within 2.8 seconds and the maximum overshoot is ≤3%.

[0040] The implementation of non-contact intelligent demoulding based on S5 includes the following steps: S501: Based on the system state, the SMA element is heated using a phase change temperature PID control method, the temperature field is monitored through a thermocouple array, and a temperature field distribution cloud map is generated; The phase transition temperature of the SMA element was set at 65°C, and the PID parameters Kp = 8, Ki = 0.5, and Kd = 2. A thermocouple array (accuracy ±0.2°C) generated a 256-point temperature field cloud map with a gradient control of ≤2°C / m.

[0041] S502: Based on the temperature data, infrared thermal imaging technology is used to detect the demoulding process, and the demoulding boundary is identified through image segmentation algorithm to obtain a demoulding status assessment report; The thermal sensitivity of the infrared thermal imager is 0.03°C, the U-Net network segmentation accuracy is 98.7%, and the demolding boundary expansion rate can be accurately identified at 1.2 mm / s.

[0042] S503: Based on the evaluation report, the vibration spectrum analysis method is used to determine the degree of demoulding completion, and the interface separation signal is captured by the acoustic emission sensor to achieve non-contact intelligent demoulding.

[0043] The vibration spectrum analysis is set to a detection range of 20-2000Hz, and the demoulding completion signal is triggered when the acoustic emission sensor captures the characteristic frequency of 325kHz.

[0044] Achieving a zero-damage concrete interface based on S6 includes the following steps: S601: Based on the demolding status, the interface is scanned using multispectral imaging technology, and the residue type is classified using a convolutional neural network to generate an interface defect distribution map. The multispectral imaging system includes visible light (400-700nm) and near-infrared (900-1700nm) channels. The ResNet-50 network classification accuracy is 99.1%, and the minimum residual area can be identified as 4mm. 2 .

[0045] S602: Based on defect data, a UV light intensity fuzzy control algorithm is used to trigger coating decomposition. The irradiance sensor ensures complete reaction and completes the controlled stripping of the photosensitive coating. The UV light intensity regulation system (wavelength 365nm) adopts Mamdani fuzzy control, with an illumination control error of ±3%, achieving a 98.5% decomposition rate of the coating.

[0046] S603: Based on the stripping effect, pneumatic pulse cleaning technology is applied to deal with the residue, and the interface quality is verified by a surface roughness meter to achieve a zero-damage concrete interface.

[0047] The pneumatic pulse cleaning pressure is 0.35 MPa, and the pulse frequency is 5 Hz. The surface roughness tester detected Ra = 2.8 μm, which meets the requirements of JGJ / T23-2011 standard.

[0048] The support-free formwork body for a post-cast strip includes a construction method of a support-free formwork system for a post-cast strip according to any one of claims 1 to 7.

[0049] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A construction method for a support-free formwork system for a post-cast zone, characterized in that The following steps are involved: S1: Based on BIM model data, the variable density method topology optimization algorithm is used to design the formwork unit. The lightweight structure of the modular formwork is generated through parametric modeling technology. The finite element analysis method is applied to verify the structural strength and generate a parametric formwork layout plan. S2: Based on the layout plan, a heuristic path planning algorithm is used to perform 3D assembly simulation. A laser positioning system is used to guide on-site installation, and a torque control method is applied to ensure reliable connection of mechanical snap fasteners, forming a spatial self-locking template network. S3: Based on installation data, the strain energy density equilibrium algorithm is used to calculate the prestress distribution. Bidirectional prestress is applied through a hydraulic synchronous tensioning system. Distributed fiber optic sensing technology is used to monitor stress transfer in real time to establish a self-balancing load-bearing system. S4: Based on stress monitoring data, an improved Kalman filter algorithm is used to predict the structural deformation trend. The adjustment device is driven by a micro electro-hydraulic servo system, and the fuzzy PID control method is applied to achieve dynamic compensation of the template inclination, thus obtaining a deformation adaptive template system. S5: Based on deformation compensation records, the phase change temperature control method is used to activate the shape memory alloy lock, the demoulding process is monitored by infrared thermal imaging technology, and the degree of demoulding completion is determined by mechanical vibration monitoring, achieving non-contact intelligent demoulding; S6: Based on demolding status data, multispectral image recognition technology is used to detect interface residues, a UV light intensity adaptive algorithm is used to trigger the decomposition of the photosensitive coating, and pneumatic stripping technology is applied to complete the final cleaning, achieving a zero-damage concrete interface.

2. The construction method of a support-free formwork system for a post-cast strip according to claim 1, characterized in that: The generation of parameterized template layout scheme based on S1 includes the following steps: S101: Based on the BIM model point cloud data, the point cloud denoising algorithm is used for data cleaning, and the boundary features of the post-casting strip are identified through feature extraction technology to generate standardized BIM structure data; S102: Based on the structural data, a variable density method topology optimization is used for lightweight design. A honeycomb reinforcement rib structure is generated under stress constraints to form a three-dimensional model of the lightweight template unit. S103: Based on the unit model, apply parametric drive technology to generate a module combination scheme, verify the structural stiffness through finite element analysis, and output a parametric template layout scheme.

3. The construction method of a support-free formwork system for a post-cast strip according to claim 1, characterized in that: The formation of a spatial self-locking template network based on S2 includes the following steps: S201: Based on the layout plan, an improved A* algorithm is used to plan the assembly path, and a collision detection algorithm is used to avoid structural interference to generate the optimal three-dimensional assembly path; S202: Based on the path data, laser SLAM positioning technology is applied to guide the installation of the robotic arm, and the template is accurately positioned through the point cloud matching algorithm to complete the high-precision module placement; S203: Based on the installation positioning, the torque closed-loop control method is used to operate the rotating clip, and the connection reliability is verified by strain gauge monitoring technology to form a spatial self-locking template network.

4. The construction method of a support-free formwork system for a post-cast strip according to claim 1, characterized in that: Building a self-balancing load-bearing system based on S3 includes the following steps: S301: Based on the template network, the strain energy density equilibrium algorithm is applied to calculate the prestress distribution, the robustness of the scheme is verified through Monte Carlo simulation, and the prestress distribution optimization scheme is generated; S302: Based on the optimization plan, hydraulic synchronous control technology is used to implement tensioning, and the loading process is monitored by a pressure sensor array to complete the application of bidirectional prestressing; S303: Based on the loading data, distributed fiber optic sensing technology is used to monitor stress transfer, abnormal signals are identified through wavelet packet analysis algorithm, and a self-balancing load-bearing system is established.

5. The construction method of a support-free formwork system for a post-cast strip according to claim 1, characterized in that: The S4-based deformable adaptive template system includes the following steps: S401: Based on the monitoring data, an improved Kalman filter algorithm is used to predict the deformation trend, and the compensation amount is calculated by the finite difference method to generate a deformation compensation parameter set; S402: Based on the parameter set, the electro-hydraulic servo control technology is applied to drive the adjustment device, and the adjustment amount is fed back by the laser displacement sensor to achieve millimeter-level deformation compensation; S403: Based on the compensation data, the fuzzy PID control algorithm is used to optimize the control parameters, and the system convergence is verified through Lyapunov stability analysis to form a deformation adaptive template system.

6. The construction method of a support-free formwork system for a post-cast strip according to claim 1, characterized in that: The implementation of non-contact intelligent demoulding based on S5 includes the following steps: S501: Based on the system state, the SMA element is heated using a phase change temperature PID control method, the temperature field is monitored through a thermocouple array, and a temperature field distribution cloud map is generated; S502: Based on the temperature data, infrared thermal imaging technology is used to detect the demoulding process, and the demoulding boundary is identified through image segmentation algorithm to obtain a demoulding status assessment report; S503: Based on the evaluation report, the vibration spectrum analysis method is used to determine the degree of demoulding completion, and the interface separation signal is captured by the acoustic emission sensor to achieve non-contact intelligent demoulding.

7. The construction method of a support-free formwork system for a post-cast strip according to claim 1, characterized in that: Achieving a zero-damage concrete interface based on S6 includes the following steps: S601: Based on the demolding status, the interface is scanned using multispectral imaging technology, and the residue type is classified using a convolutional neural network to generate an interface defect distribution map. S602: Based on defect data, a UV light intensity fuzzy control algorithm is used to trigger coating decomposition. The irradiance sensor ensures complete reaction and completes the controlled stripping of the photosensitive coating. S603: Based on the stripping effect, pneumatic pulse cleaning technology is applied to deal with the residue, and the interface quality is verified by a surface roughness meter to achieve a zero-damage concrete interface.

8. The support-free formwork for post-casting strips is characterized by: The invention comprises a construction method of a support-free formwork system for a post-cast strip as described in any one of claims 1 to 7.

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