Construction process for widening roadbed of longitudinal broken lifting section of expressway

Abstract

The invention relates to the technical field of highway widening construction, in particular to an expressway longitudinal fracture lifting section roadbed widening construction technology which comprises the steps that S1, construction equipment is used, specifically, hydrogeological exploration is conducted, and numerical simulation analysis is conducted; s2, temporary retaining construction is conducted, specifically, a retaining type selection matrix is set, and a retaining construction mode is confirmed; s3, partition construction is conducted, specifically, a four-stage construction method is adopted, and intelligent construction and dynamic regulation and control are conducted; s4, differential settlement control: through a gradient modulus method, simulating settlement change at a construction position, and performing treatment; s5, cutting slope treatment, wherein a dynamic excavation method is adopted, and a supporting scheme is set according to an excavation mode; s6, traffic protection construction measures: organizing traffic, and setting up an emergency scheme; s7, quality acceptance: determining a core index, and monitoring a construction area; by simulating geology, a construction mode and problems occurring in construction, one mode is selected to adapt to current construction, construction requirements are met, and the construction period is shortened.

Description

Technical Field

[0001] The present application relates to the technical field of highway widening construction, and in particular to a highway longitudinal section elevated section roadbed widening construction process. Background Art

[0002] With economic development and social progress, traffic volume continues to increase, and the capacity of existing highways is gradually unable to meet demand. In order to improve the transportation capacity and service level of highways, widening and reconstruction of highways has become an inevitable choice. In some mountainous areas or areas with complex terrain, due to low original design standards or terrain restrictions, it is necessary to raise the longitudinal section of the highway and carry out roadbed widening construction to meet the development needs of modern transportation. In the prior art, relevant technologies for highway widening construction can be referred to in the Chinese patent publication number CN111827033A, which discloses a construction method for widening the interchange ramp roadbed by filling and solidifying soil. The method comprises optimizing and integrating solidifying soil blending, vibration mixing equipment, and construction technology to form a set of construction technologies suitable for widening the interchange ramp roadbed by filling and solidifying soil. The solidifying soil construction technology formed after optimization and integration can effectively reduce the uneven settlement between the new and old roadbeds in the widening of the interchange ramp roadbed. At the same time, compared with traditional roadbed filling technology, it can minimize interference with existing traffic, reduce the impact on normal operations, shorten the construction period, simplify construction steps, and ensure construction quality and safety.

[0003] In the process of implementing this application, the inventors discovered that the prior art has the following problems: During the construction process, due to the direct influence of the construction geology, construction environment, weather factors, traffic volume of the highway, and the required construction period, it will be difficult to select a solution that meets the actual needs under various influencing factors during the process of highway widening. This will directly lead to delays in construction progress and affect the construction progress due to the influence of many factors. Summary of the Invention

[0004] The purpose of this application is to provide a construction process for widening the roadbed of a longitudinal elevated section of a highway.

[0005] The present application provides a highway longitudinal section elevated section roadbed widening construction process using the following technical solutions: A construction process for widening the roadbed of a longitudinal section of a highway, with respect to the roadbed filling construction process, the process is as follows: S1. Construction equipment: Conduct hydrogeological exploration and numerical simulation analysis; S2. Temporary support construction: Establish a support selection matrix and confirm the support construction method; S3. Zoning construction: Adopting a four-stage construction method, with intelligent construction and dynamic control; S4. Differential settlement control: Use the gradient modulus method to simulate the settlement changes at the construction site and perform treatment; S5. Cutting slope treatment: dynamic excavation method, and establish support plan according to the excavation method; S6. Measures to ensure smooth construction: organize traffic and establish emergency plans; S7. Quality acceptance: determine core indicators and monitor the construction area.

[0006] In the above step S1, a three-dimensional hydrogeological survey of the construction area is carried out by geological radar and combined with drilling sampling and penetration test to obtain soil layer distribution, groundwater level and foundation bearing capacity parameters. According to the drilled soil sampling, the geological environment type is learned and the soil parameter spatial interpolation is used to obtain the soil layer distribution, groundwater level and foundation bearing capacity parameters. Calculate the number of drilling sampling construction required for the radar scanning range; θ is the soil parameter at the point to be interpolated (χ), λ i is the weight coefficient of the i-th drilling data, satisfying K j (χ) is the Kriging function, θ i is the soil parameter value measured in the ith borehole, μ j is the jth radar data weight, and 0≤γ≤1; Based on BIM technology, a spatial distribution model of soil parameters was established and input into PLAXIS for elastic-plastic numerical simulation. The constitutive equation of the numerical simulation was: Obtain stress changes and elasticity corresponding to soil layer distribution to confirm geological conditions; σ ij is the stress tensor, is the elastic stiffness matrix, is the viscoelastic relaxation kernel function, τ is the time, is the strain tensor.

[0007] By adopting the above technical solution, the geological radar survey conducted according to the hydrogeological exploration is combined with drilling sampling and penetration experiments to obtain a geological model of the construction area. According to the geological model, the required construction location is divided into four types, namely soft soil foundation, sandy soil foundation, karst area foundation and karst area foundation. Therefore, the actual exploration of the construction site by geological radar and the soil sampling samples obtained are used to confirm the actual foundation type of the construction area and establish a model.

[0008] In the above step S2, a support selection matrix (m×n) is constructed, 12 support models are input, and a construction end geological model is built based on the data. When the geological model simulates the geological environment as a soft soil foundation, the weight calculation model of the hierarchical analysis method is used: The TOPSIS method is used to determine the optimal support scheme among the 12 support models, and the optimal scheme is selected as the construction basis for construction; j is the weight of the j-th support scheme, ω ij is the expert scoring matrix, CR(i) is the consistency ratio; and the supporting structure reliability: Φ -1 is the inverse function of the standard normal distribution, μ R is the mean resistance, σ R Resistance standard deviation, μ S is the mean load, σ S is the load standard deviation, and β is the reliability index.

[0009] By adopting the above technical solution, 12 support models are transported in the model, and any one of the 12 support models can be switched according to different geological environments to adapt the construction.

[0010] In the above step S3, the four stages of pretreatment, excavation, support and monitoring are divided, and the construction parameters are adjusted in real time based on the digital twin technology. The moisture content of the soft soil foundation at the construction site is greater than 40%, and microwave and vacuum preloading are combined for treatment. After laying the plastic drainage board, 2.45GHZ microwave is applied, and vacuum preloading is started simultaneously. The consolidation time is t 新 =t 传统 ·e -tρ ; ρ is microwave power / kW, t 新 is the consolidation time after microwave treatment, t 传统 is the consolidation time of the traditional method, and t is the time variable.

[0011] By adopting the above technical solution, during the construction process, different construction methods are adopted according to the different water content in the soil at the construction site. In the event of tight construction schedule and soil moisture content >40%, a combined construction treatment of microwave plus vacuum preloading can be used to accelerate the extraction of moisture in the soil to solve the problem of tight construction schedule.

[0012] In the above step S4, according to the non-uniform settlement deformation caused by the construction of the foundation model, different modulus fillers are filled in layers, and a microwave and vacuum preloading joint treatment is assisted by an unmanned roller cluster with a multi-spectral sensor.

[0013] By adopting the above technical solution, and when non-uniform settlement deformation occurs, the model simulates filler control, and by laying gravel with a loose layer of ≤30cm per layer, the required number of paving layers is determined. The unmanned roller cluster with multispectral sensors is used to perform weak vibration, strong vibration and static pressure treatment on the paving area. RTK positioning, LIDAR point cloud obstacle identification, and gamma ray method are used to provide real-time feedback on the compaction degree to automatically adjust the rolling path.

[0014] In the above step S5, the excavation step length Δh and the excavation sequence corresponding to the geology are obtained by the constructed soil parameter spatial distribution model, and the support parameter mapping matrix is established based on the multi-objective optimization function min(α·δ max +β·C cost ), where the weights α and β are determined by the risk level of the excavation method.

[0015] Adopting adaptive fuzzy PID controller, the support parameters are adjusted in real time according to the excavation mode: is the adjusted support parameter, is the initial support parameter, δ(t) is the current measured displacement, n is the material strength parameter, δ ref is the reference displacement corresponding to the excavation method.

[0016] By adopting the above technical solution, a support parameter mapping matrix is set to include the excavation method, and different excavation methods are selected according to the danger level caused by excavation in different geological environments.

[0017] In the above step S6, a cellular automaton is used to simulate traffic in the construction area, and a Bayesian network is established to evaluate the construction risks in the traffic flow of each construction method, and an emergency response mechanism is set up.

[0018] By adopting the above technical solutions, cellular automata simulate traffic flow in the construction area, and optimize traffic diversion plans in real time through uninterrupted traffic flow. The Yes network is used to evaluate the construction risks in the traffic flow of various construction methods, and emergency response thresholds are set to provide real-time risk warnings to deal with problems that arise at the construction site, such as excessive support displacement or traffic congestion.

[0019] In the above step S7, the settlement and rebound modulus of the construction site are monitored using a drop weight deflectometer, a three-dimensional ground penetrating radar scan, and a drone aerial survey.

[0020] In the above step S7, the measured data of construction settlement obtained by the drop weight deflectometer, 3D ground penetrating radar scanning and drone aerial survey are compared with the BIM model. When the deviation rate is ≤5%, the project meets the standards; when the deviation rate is ≥5%, construction settlement repair is carried out.

[0021] In summary, this application includes at least one of the following beneficial technical effects: 1. When confirming the widening treatment of the corresponding highway, a geological model of the construction area is obtained through geological radar exploration conducted through hydrogeological exploration, combined with drilling sampling and penetration experiments. According to the geological model, the required construction geology is divided into four types: soft soil foundation, sandy soil foundation, karst area foundation and karst area foundation. Therefore, the actual foundation type of the construction area is confirmed through actual exploration of the construction site by geological radar and soil sampling. A model is established and 12 retaining models are input into the model. According to different geological environments, any of the 12 retaining models can be switched to adapt the construction; 2. Based on the exploration data, it is confirmed that different construction methods will be adopted according to the different water content in the soil at the construction site during the construction process. In particular, when the construction schedule is tight and the soil moisture content is greater than 40%, a combined construction treatment of microwave and vacuum preloading can be used to accelerate the extraction of soil moisture to solve the problem of tight construction schedule; 3. When non-uniform settlement deformation occurs, the model simulates filler control, determines the required number of paving layers by laying gravel, and uses a cluster of unmanned rollers equipped with multispectral sensors to perform weak vibration, strong vibration, and static pressure treatment on the paved area. Furthermore, obstacle identification is performed through RTK positioning, LIDAR point cloud, and real-time feedback on compaction degree using the gamma-ray method, automatically adjusting the rolling path. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of the highway longitudinal section elevated section roadbed widening construction process according to an embodiment of the present application; Figure 2 is a flow chart of the construction equipment of an embodiment of the present application; Figure 3 This is a flowchart of the simulated soft soil foundation construction of an embodiment of the present application; Figure 4 This is a flow chart of the road pressure of a drone for differential settlement control according to an embodiment of the present application; Figure 5 It is a collaborative flow chart of the hierarchical analysis method and the TOPSIS method in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figure 1 - Attachment Figure 5 , further details of this application are given.

[0024] Example: A highway longitudinal section elevated section roadbed widening construction process, with respect to the roadbed filling construction process, the process is as follows: S1. Construction equipment: Conduct hydrogeological exploration and numerical simulation analysis; S2. Temporary support construction: Establish a support selection matrix and confirm the support construction method; S3. Zoning construction: Adopting a four-stage construction method, with intelligent construction and dynamic control; S4. Differential settlement control: Use the gradient modulus method to simulate the settlement changes at the construction site and perform treatment; S5. Cutting slope treatment: dynamic excavation method, and establish support plan according to the excavation method; S6. Measures to ensure smooth construction: organize traffic and establish emergency plans; S7. Quality acceptance: determine core indicators and monitor the construction area.

[0025] In the above step S1, a three-dimensional hydrogeological survey of the construction area is carried out by geological radar and combined with drilling sampling and penetration test to obtain soil layer distribution, groundwater level and foundation bearing capacity parameters. According to the drilled soil sampling, the geological environment type is learned and the soil parameter spatial interpolation is used to obtain the soil layer distribution, groundwater level and foundation bearing capacity parameters. Calculate the number of drilling sampling construction required for the radar scanning range; θ is the soil parameter at the point to be interpolated (χ), λ i is the weight coefficient of the i-th drilling data, satisfying K j (χ) is the Kriging function, θ i is the soil parameter value measured in the ith borehole, μ j is the jth radar data weight, and 0≤γ≤1; Based on BIM technology, a spatial distribution model of soil parameters was established and input into PLAXIS for elastic-plastic numerical simulation. The constitutive equation of the numerical simulation was: Obtain stress changes and elasticity corresponding to soil layer distribution to confirm geological conditions; σ ij is the stress tensor, is the elastic stiffness matrix, is the viscoelastic relaxation kernel function, τ is the time, is the strain tensor.

[0026] Based on the geological radar survey conducted in the hydrogeological exploration, combined with drilling sampling and penetration experiments, the geological model of the construction area is obtained. According to the geological model, the required construction location is divided into four types, namely soft soil foundation, sandy soil foundation, karst area foundation and karst area foundation. Therefore, the actual exploration of the construction site by geological radar and the soil sampling samples obtained are used to confirm the actual foundation type of the construction area and establish a model.

[0027] In the above step S2, a support selection matrix (m×n) is constructed, 12 support models are input, and a construction end geological model is built based on the data. When the geological model simulates the geological environment as a soft soil foundation, the weight calculation model of the hierarchical analysis method is used: The TOPSIS method is used to determine the optimal support scheme among the 12 support models, and the optimal scheme is selected as the construction basis for construction; j is the weight of the j-th support scheme, ω ij is the expert scoring matrix, CR(i) is the consistency ratio; and the supporting structure reliability: Φ -1 is the inverse function of the standard normal distribution, μ R is the mean resistance, σ R Resistance standard deviation, μ S is the mean load, σ S is the load standard deviation, and β is the reliability index.

[0028] Twelve support models are transported within the model, namely soil nail wall, pile support, underground continuous wall, steel sheet pile, SMW method pile, gravity retaining wall, anchor support, composite soil nail wall, internal support system, anchor system, pile-anchor support and reverse construction support. According to different geological environments, any of the 12 support models can be switched to adapt to the construction.

[0029] In the above step S3, the four stages of pretreatment, excavation, support and monitoring are divided, and the construction parameters are adjusted in real time based on the digital twin technology. The moisture content of the soft soil foundation at the construction site is greater than 40%, and microwave and vacuum preloading are combined for treatment. After laying the plastic drainage board, 2.45GHZ microwave is applied, and vacuum preloading is started simultaneously. The consolidation time is t 新 =t 传统 ·e -tρ ; ρ is microwave power / kW, t 新 is the consolidation time after microwave treatment, t 传统 is the consolidation time of the traditional method, and t is the time variable.

[0030] During the construction process, different construction methods are adopted according to the different water content in the soil at the construction site. When the construction period is tight and the soil moisture content is >40%, a combined construction treatment of microwave and vacuum preloading can be used to accelerate the extraction of water content in the soil to solve the problem of tight construction period.

[0031] In the above step S4, according to the non-uniform settlement deformation caused by the construction of the foundation model, different modulus fillers are filled in layers, and a microwave and vacuum preloading joint treatment is assisted by an unmanned roller cluster with a multi-spectral sensor.

[0032] When non-uniform settlement deformation occurs, the model simulates filler control by laying gravel with a loose layer of ≤30 cm per layer to determine the required number of layers. The unmanned roller cluster with multispectral sensors performs weak vibration, strong vibration and static pressure treatment on the paved area. RTK positioning and LIDAR point cloud obstacle identification are used, and the gamma ray method is used to provide real-time feedback on the compaction degree to automatically adjust the rolling path.

[0033] In the above step S5, the excavation step length Δh and the excavation sequence corresponding to the geology are obtained by the constructed soil parameter spatial distribution model, and the support parameter mapping matrix is established based on the multi-objective optimization function min(α·δ max +β·C cost ), where the weights α and β are determined by the risk level of the excavation method.

[0034] Adopting adaptive fuzzy PID controller, the support parameters are adjusted in real time according to the excavation mode: is the adjusted support parameter, is the initial support parameter, δ(t) is the current measured displacement, n is the material strength parameter, δ ref is the reference displacement corresponding to the excavation method.

[0035] Set up the support parameter mapping matrix to include the excavation method, and select different excavation methods based on the danger level caused by excavation in different geological environments.

[0036] In the above step S6, a cellular automaton is used to simulate traffic in the construction area, and a Bayesian network is established to evaluate the construction risks in the traffic flow of each construction method, and an emergency response mechanism is set up.

[0037] Cellular automata simulate traffic flow in the construction area, and optimize traffic diversion plans in real time through uninterrupted traffic flow. The Yes network is used to evaluate the construction risks in the traffic flow of various construction methods, and emergency response thresholds are set to provide real-time risk warnings to deal with problems that arise at the construction site, such as excessive support displacement or traffic congestion.

[0038] In the above step S7, the settlement and rebound modulus of the construction site are monitored using a drop weight deflectometer, a three-dimensional ground penetrating radar scan, and a drone aerial survey.

[0039] In the above step S7, the measured data of construction settlement obtained by the drop weight deflectometer, 3D ground penetrating radar scanning and drone aerial survey are compared with the BIM model. When the deviation rate is ≤5%, the project meets the standards; when the deviation rate is ≥5%, construction settlement repair is carried out.

[0040] The implementation principle of the embodiment of the present application is as follows: S1, construction equipment: geological radar exploration based on hydrogeological exploration is combined with drilling sampling and penetration experiments to obtain a geological model of the construction area. According to the geological model, the required construction geology is divided into four types: soft soil foundation, sandy soil foundation, karst area foundation and karst area foundation. Therefore, the actual foundation type of the construction area is confirmed by actual exploration of the construction site with geological radar and soil sampling, and a model is established; S2. Temporary support construction: 12 types of support models are transported within the model, including soil nailing wall, pile support, underground continuous wall, steel sheet pile, SMW pile, gravity retaining wall, anchor support, composite soil nailing wall, internal support system, anchor system, pile-anchor support, and reverse support. Depending on the geological environment, any of the 12 support models can be switched to adapt the construction. S3. Zoning Construction: This involves dividing the project into four phases: pretreatment, excavation, support, and monitoring. Digital twin technology is used to adjust construction parameters in real time, and different construction methods are adopted based on the soil moisture content at the construction site. In cases of tight construction schedules and soil moisture content exceeding 40%, a combined microwave and vacuum preloading treatment can be used to accelerate soil moisture extraction and address the tight construction schedule. S4. Differential Settlement Control: When non-uniform settlement deformation occurs, the model simulates filler control by laying gravel with a void of ≤30cm per layer to determine the required number of layers. A cluster of unmanned rollers equipped with multispectral sensors performs weak vibration, strong vibration, and static pressure treatment on the paved area. RTK positioning and LIDAR point cloud obstacle identification are used, and real-time feedback on the compaction degree is obtained through the gamma-ray method to automatically adjust the rolling path and avoid confusion among construction equipment during the construction process. S5. Cutting slope treatment: Set up a support parameter mapping matrix to include four excavation methods, including step excavation, full-section excavation, layered excavation, and asymmetric excavation. Different excavation methods are selected based on the danger level of excavation in different geological environments. S6. Construction measures to maintain traffic flow: Use cellular automata to simulate traffic in the construction area, establish a Bayesian network to assess construction risks in traffic flows under various construction methods, and set emergency response thresholds; S7. Quality acceptance: Use drop weight deflectometer, 3D ground penetrating radar scanning and drone aerial survey to monitor the settlement and rebound modulus of the construction site.

[0041] The examples of this specific embodiment are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Identical components are represented by the same reference numerals. Therefore, any equivalent changes made based on the structure, shape, and principle of this application should be included in the scope of protection of this application.

Claims

1. A highway longitudinal section elevated section roadbed widening construction process, characterized by: The process of roadbed filling construction is as follows: S1. Construction equipment: Conduct hydrogeological exploration and numerical simulation analysis; S2. Temporary support construction: Establish a support selection matrix and confirm the support construction method; S3. Zoning construction: Adopting a four-stage construction method, with intelligent construction and dynamic control; S4. Differential settlement control: Use the gradient modulus method to simulate the settlement changes at the construction site and perform treatment; S5. Cutting slope treatment: dynamic excavation method, and establish support plan according to the excavation method; S6. Measures to ensure smooth construction: organize traffic and establish emergency plans; S7. Quality acceptance: determine core indicators and monitor the construction area.

2. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S1, a three-dimensional hydrogeological survey of the construction area is carried out by geological radar and combined with drilling sampling and penetration test to obtain soil layer distribution, groundwater level and foundation bearing capacity parameters. According to the drilled soil sampling, the geological environment type is learned and the soil parameter spatial interpolation is used to obtain the soil layer distribution, groundwater level and foundation bearing capacity parameters. Calculate the number of drilling sampling construction required for the radar scanning range; θ is the soil parameter at the point to be interpolated (χ), λ i is the weight coefficient of the i-th drilling data, satisfying K j (χ) is the Kriging function, θ i is the soil parameter value measured in the ith borehole, μ j is the jth radar data weight, and 0≤γ≤1; Based on BIM technology, a spatial distribution model of soil parameters was established and input into PLAXIS for elastic-plastic numerical simulation. The constitutive equation of the numerical simulation was: Obtain stress changes and elasticity corresponding to soil layer distribution to confirm geological conditions; σ ij is the stress tensor, is the elastic stiffness matrix, is the viscoelastic relaxation kernel function, τ is the time, is the strain tensor.

3. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S2, a support selection matrix (m×n) is constructed, 12 support models are input, and a construction end geological model is built based on the data. When the geological model simulates the geological environment as a soft soil foundation, the weight calculation model of the hierarchical analysis method is used: The TOPSIS method is used to determine the optimal support scheme among the 12 support models, and the optimal scheme is selected as the construction basis for construction; j is the weight of the j-th support scheme, ω ij is the expert scoring matrix, CR(i) is the consistency ratio; and the supporting structure reliability: Φ -1 is the inverse function of the standard normal distribution, μ R is the mean resistance, σ R Resistance standard deviation, μ S is the mean load, σ S is the load standard deviation, and β is the reliability index.

4. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S3, the four stages of pretreatment, excavation, support and monitoring are divided, and the construction parameters are adjusted in real time based on the digital twin technology. The moisture content of the soft soil foundation at the construction site is greater than 40%, and microwave and vacuum preloading are combined for treatment. After laying the plastic drainage board, 2.45GHZ microwave is applied, and vacuum preloading is started simultaneously. The consolidation time is t 新 =t 传统 ·e -tρ ; ρ is microwave power / kW, t 新 is the consolidation time after microwave treatment, t 传统 is the consolidation time of the traditional method, and t is the time variable.

5. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S4, according to the non-uniform settlement deformation caused by the construction of the foundation model, different modulus fillers are filled in layers, and a microwave and vacuum preloading joint treatment is assisted by an unmanned roller cluster with a multi-spectral sensor.

6. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S5, the excavation step length Δh and the excavation sequence corresponding to the geology are obtained by the constructed soil parameter spatial distribution model, and the support parameter mapping matrix is established based on the multi-objective optimization function min(α·δ max +β·C cost ); The weights α and β are determined by the risk level of the excavation method; Adopting adaptive fuzzy PID controller, the support parameters are adjusted in real time according to the excavation mode: is the adjusted support parameter, is the initial support parameter, δ(t) is the current measured displacement, n is the material strength parameter, δ ref is the reference displacement corresponding to the excavation method.

7. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S6, a cellular automaton is used to simulate traffic in the construction area, and a Bayesian network is established to evaluate the construction risks in the traffic flow of each construction method, and an emergency response mechanism is set up.

8. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S7, the settlement and rebound modulus of the construction site are monitored using a drop weight deflectometer, a three-dimensional ground penetrating radar scan, and a drone aerial survey.

9. The highway longitudinal section elevated section roadbed widening construction process according to claim 1, characterized in that: In the above step S7, the measured data of construction settlement obtained by the drop weight deflectometer, 3D ground penetrating radar scanning and drone aerial survey are compared with the BIM model. When the deviation rate is ≤5%, the project meets the standards; when the deviation rate is ≥5%, construction settlement repair is carried out.

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