Multi-objective optimization method and system for quality inspection of super-long span sea-crossing bridge projects

Abstract

The invention discloses a multi-objective optimization method and system for quality inspection of a super-long span sea-crossing bridge project. The method comprises: obtaining bridge information, wherein the bridge information comprises: bridge axial force, area of ​​a bridge cross section, bending moment of the bridge, torque of the bridge, total span of the bridge, diameter of the bridge, elastic modulus of the bridge, moment of inertia of the bridge cross section, and material density of the bridge; respectively setting a bridge structural safety assessment model for evaluating the structural safety of the bridge, a bridge service life assessment model for evaluating the service life of the bridge, and a bridge construction quality assessment model for evaluating the construction quality, and respectively calculating a bridge structural safety index, a bridge service life assessment index, and a bridge construction quality assessment index; completing a multi-objective assessment of the bridge through the bridge structural safety index, the bridge service life assessment index, and the bridge construction quality assessment index, and optimizing the bridge project quality according to the assessment results.

Description

Technical Field

[0001] The present invention belongs to the technical field of bridge engineering quality inspection, and more specifically, relates to a multi-objective optimization method and system for super-long span sea-crossing bridge engineering quality inspection. Background Art

[0002] The quality inspection of super-long span sea-crossing bridge projects is a complex and important task that requires consideration of multiple factors and objectives. The following are some of the multi-objective optimization aspects that may be involved:

[0003] Structural safety: Ensure the structural safety of the bridge, including design requirements for wind resistance, earthquake resistance, etc. Improve overall safety by optimizing structural design and material selection.

[0004] Construction quality: Consider the construction technology, material usage and quality control of the construction process to ensure that the bridge meets the design standards during construction.

[0005] Environmental impact: Reduce adverse impacts on the surrounding environment, including considerations of water ecology, seabed topography, etc. Optimize the design and construction process to reduce environmental pollution and ecological damage.

[0006] Economic benefits: Under the premise of ensuring quality, try to reduce engineering costs and improve economic benefits. This can be achieved through material selection, process optimization, etc.

[0007] However, the dimensions in existing technologies are relatively single and not smart enough. Summary of the invention

[0008] In order to solve the above technical problems, the present invention proposes a multi-objective optimization method for quality inspection of super-long span sea-crossing bridge projects, comprising:

[0009] Acquire bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, bridge cross-sectional moment of inertia, and bridge material density;

[0010] A bridge structural safety assessment model for evaluating the structural safety of the bridge, a bridge service life assessment model for evaluating the service life of the bridge, and a bridge construction quality assessment model for evaluating the construction quality are respectively set up, and the bridge structural safety index, the bridge service life assessment index, and the bridge construction quality assessment index are respectively calculated;

[0011] A multi-objective evaluation of the bridge is completed through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and the quality of the bridge project is optimized according to the evaluation results.

[0012] Furthermore, the structural safety assessment model of the bridge includes:

[0013]

[0014] Among them, F s is the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, β is, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor.

[0015] Furthermore, the service life assessment model of the bridge includes:

[0016]

[0017] Among them, F′ is the service life assessment index of the bridge, A′ is the design load of the bridge, B is the durability of the bridge material, α′ is the durability weight, C is the cross-sectional area of ​​the bridge, β′ is the area weight, γ′ is the corrosion weight, D′ is the seawater corrosion degree, E′ is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J′ is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L′ is the vibration mode of the bridge, M′ is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P′ is the number of different structures contained in the bridge, and ρ′ is the disaster weight.

[0018] Furthermore, the bridge construction quality assessment model includes:

[0019]

[0020] Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time for handling construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time.

[0021] Furthermore, the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge or the construction quality assessment model of the bridge are fitted by the gradient descent method.

[0022] The present invention also proposes a multi-objective optimization system for quality inspection of super-long span sea-crossing bridge projects, comprising:

[0023] An information acquisition module is used to acquire bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, moment of inertia of the bridge cross-sectional area, and bridge material density;

[0024] Setting a model module, respectively setting a structural safety assessment model of a bridge for evaluating the structural safety of the bridge, a service life assessment model of a bridge for evaluating the service life of the bridge, and a construction quality assessment model of a bridge for evaluating the construction quality, and respectively calculating the structural safety index of the bridge, the service life assessment index of the bridge, and the construction quality assessment index of the bridge;

[0025] The evaluation and optimization module is used to complete the multi-objective evaluation of the bridge through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and optimize the bridge engineering quality according to the evaluation results.

[0026] Furthermore, the structural safety assessment model of the bridge includes:

[0027]

[0028] Among them, F sis the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, β is, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor.

[0029] Furthermore, the service life assessment model of the bridge includes:

[0030]

[0031] Among them, F′ is the service life assessment index of the bridge, A′ is the design load of the bridge, B is the durability of the bridge material, α′ is the durability weight, C is the cross-sectional area of ​​the bridge, β′ is the area weight, γ′ is the corrosion weight, D′ is the seawater corrosion degree, E′ is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J′ is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L′ is the vibration mode of the bridge, M′ is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P′ is the number of different structures contained in the bridge, and ρ′ is the disaster weight.

[0032] Furthermore, the bridge construction quality assessment model includes:

[0033]

[0034] Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time for handling construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time.

[0035] Furthermore, the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge or the construction quality assessment model of the bridge are fitted by the gradient descent method.

[0036] Compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:

[0037] The present invention obtains bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, moment of inertia of the bridge cross-sectional area, and material density of the bridge; a structural safety assessment model for evaluating the structural safety of the bridge, a service life assessment model for evaluating the service life of the bridge, and a construction quality assessment model for evaluating the construction quality of the bridge are respectively set, and the structural safety index of the bridge, the service life assessment index of the bridge, and the construction quality assessment index of the bridge are respectively calculated; through the structural safety index of the bridge, the service life assessment index of the bridge, and the construction quality assessment index of the bridge, a multi-objective assessment of the bridge is completed, and the bridge engineering quality is optimized according to the assessment results. According to the above technical scheme, the present invention can evaluate the quality of the bridge engineering from multiple dimensions and multiple objectives, and optimize according to the assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0039] Figure 2 It is a system structure diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0040] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0041] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0042] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0043] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0044] The display is used to show the interactive cross-section of each application.

[0045] All subscripts in the formulas of the present invention are only used to distinguish parameters and have no actual meaning.

[0046] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0047] Example 1

[0048] like Figure 1 As shown, an embodiment of the present invention provides a multi-objective optimization method for quality inspection of a super-long span sea-crossing bridge project, comprising:

[0049] Step 101, obtaining bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, bridge cross-sectional moment of inertia, and bridge material density;

[0050] Step 102, respectively setting a bridge structural safety assessment model for evaluating the safety of the bridge structure, a bridge service life assessment model for evaluating the service life of the bridge, and a bridge construction quality assessment model for evaluating the construction quality, and respectively calculating the bridge structural safety index, the bridge service life assessment index, and the bridge construction quality assessment index;

[0051] Specifically, the structural safety assessment model of the bridge includes:

[0052]

[0053] Among them, F sis the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, β is, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor.

[0054] Specifically, the service life assessment model of the bridge includes:

[0055]

[0056] Among them, F′ is the service life assessment index of the bridge, A′ is the design load of the bridge, B is the durability of the bridge material, α′ is the durability weight, C is the cross-sectional area of ​​the bridge, β′ is the area weight, γ′ is the corrosion weight, D′ is the seawater corrosion degree, E′ is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J′ is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L′ is the vibration mode of the bridge, M′ is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P′ is the number of different structures contained in the bridge, and ρ′ is the disaster weight.

[0057] Specifically, the bridge construction quality assessment model includes:

[0058]

[0059] Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time for handling construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time.

[0060] Specifically, the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge or the construction quality assessment model of the bridge are fitted by the gradient descent method.

[0061] Step 103, completing a multi-objective evaluation of the bridge through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and optimizing the bridge engineering quality according to the evaluation results.

[0062] Example 2

[0063] like Figure 2 As shown, the embodiment of the present invention also proposes a multi-objective optimization system for quality inspection of super-long span sea-crossing bridge engineering, including:

[0064] An information acquisition module is used to acquire bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, moment of inertia of the bridge cross-sectional area, and bridge material density;

[0065] Setting a model module, for respectively setting a structural safety assessment model of a bridge for evaluating the structural safety of the bridge, a service life assessment model of a bridge for evaluating the service life of the bridge, and a construction quality assessment model of a bridge for evaluating the construction quality, and respectively calculating a structural safety index of the bridge, a service life assessment index of the bridge, and a construction quality assessment index of the bridge;

[0066] Specifically, the structural safety assessment model of the bridge includes:

[0067]

[0068] Among them, F s is the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, β is, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor.

[0069] Specifically, the service life assessment model of the bridge includes:

[0070]

[0071] Among them, F′ is the service life assessment index of the bridge, A′ is the design load of the bridge, B is the durability of the bridge material, α′ is the durability weight, C is the cross-sectional area of ​​the bridge, β′ is the area weight, γ′ is the corrosion weight, D′ is the seawater corrosion degree, E′ is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J′ is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L′ is the vibration mode of the bridge, M′ is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P′ is the number of different structures contained in the bridge, and ρ′ is the disaster weight.

[0072] Specifically, the bridge construction quality assessment model includes:

[0073]

[0074] Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time for handling construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time.

[0075] Specifically, the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge or the construction quality assessment model of the bridge are fitted by the gradient descent method.

[0076] The evaluation and optimization module is used to complete the multi-objective evaluation of the bridge through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and optimize the bridge engineering quality according to the evaluation results.

[0077] Example 3

[0078] The embodiment of the present invention further proposes a storage medium storing a plurality of instructions, wherein the instructions are used to implement the multi-objective optimization method for quality inspection of a super-long span sea-crossing bridge project.

[0079] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0080] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, moment of inertia of the bridge cross-sectional area, and bridge material density;

[0081] Step 102, respectively setting a bridge structural safety assessment model for evaluating the safety of the bridge structure, a bridge service life assessment model for evaluating the service life of the bridge, and a bridge construction quality assessment model for evaluating the construction quality, and respectively calculating the bridge structural safety index, the bridge service life assessment index, and the bridge construction quality assessment index;

[0082] Specifically, the structural safety assessment model of the bridge includes:

[0083]

[0084] Among them, F s is the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, β is, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor.

[0085] Specifically, the service life assessment model of the bridge includes:

[0086]

[0087] Among them, F′ is the service life assessment index of the bridge, A′ is the design load of the bridge, B is the durability of the bridge material, α′ is the durability weight, C is the cross-sectional area of ​​the bridge, β′ is the area weight, γ′ is the corrosion weight, D′ is the seawater corrosion degree, E′ is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J′ is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L′ is the vibration mode of the bridge, M′ is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P′ is the number of different structures contained in the bridge, and ρ′ is the disaster weight.

[0088] Specifically, the bridge construction quality assessment model includes:

[0089]

[0090] Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time for handling construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time.

[0091] Specifically, the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge or the construction quality assessment model of the bridge are fitted by the gradient descent method.

[0092] Step 103, completing a multi-objective evaluation of the bridge through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and optimizing the bridge engineering quality according to the evaluation results.

[0093] Example 4

[0094] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores multiple instructions, and the instructions can be loaded and executed by the processor to enable the processor to execute a multi-objective optimization method for quality inspection of super-large span sea-crossing bridge projects.

[0095] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0096] Among them, the storage medium can be used to store software programs and modules, such as a multi-objective optimization method for quality inspection of a super-long span sea-crossing bridge project in an embodiment of the present invention, and the corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned multi-objective optimization method for quality inspection of a super-long span sea-crossing bridge project. The storage medium may include a high-speed random storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include a storage medium remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0097] The processor may call the information and application program stored in the storage medium through the transmission system to execute the steps: Step 101, obtaining bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, moment of inertia of the bridge cross-sectional area, and bridge material density;

[0098] Step 102, respectively setting a bridge structural safety assessment model for evaluating the safety of the bridge structure, a bridge service life assessment model for evaluating the service life of the bridge, and a bridge construction quality assessment model for evaluating the construction quality, and respectively calculating the bridge structural safety index, the bridge service life assessment index, and the bridge construction quality assessment index;

[0099] Specifically, the structural safety assessment model of the bridge includes:

[0100]

[0101] Among them, F s is the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, β is, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor.

[0102] Specifically, the service life assessment model of the bridge includes:

[0103]

[0104] Among them, F′ is the service life assessment index of the bridge, A′ is the design load of the bridge, B is the durability of the bridge material, α′ is the durability weight, C is the cross-sectional area of ​​the bridge, β′ is the area weight, γ′ is the corrosion weight, D′ is the seawater corrosion degree, E′ is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J′ is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L′ is the vibration mode of the bridge, M′ is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P′ is the number of different structures contained in the bridge, and ρ′ is the disaster weight.

[0105] Specifically, the bridge construction quality assessment model includes:

[0106]

[0107] Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time for handling construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time.

[0108] Specifically, the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge or the construction quality assessment model of the bridge are fitted by the gradient descent method.

[0109] Step 103, completing a multi-objective evaluation of the bridge through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and optimizing the bridge engineering quality according to the evaluation results.

[0110] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0111] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0112] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0113] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0114] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0115] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0116] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A multi-objective optimization method for quality inspection of super-long span sea-crossing bridge engineering, characterized in that: include: Acquire bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, bridge cross-sectional moment of inertia, and bridge material density; A bridge structural safety assessment model for evaluating the structural safety of the bridge, a bridge service life assessment model for evaluating the service life of the bridge, and a bridge construction quality assessment model for evaluating the construction quality are respectively set up, and the bridge structural safety index, the bridge service life assessment index, and the bridge construction quality assessment index are respectively calculated; The structural safety assessment model of the bridge includes: Among them, F s is the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor; The service life assessment model of the bridge includes: Among them, F' is the service life assessment index of the bridge, A' is the design load of the bridge, B is the durability of the bridge material, α' is the durability weight, C is the cross-sectional area of ​​the bridge, β' is the area weight, γ' is the corrosion weight, D' is the seawater corrosion, E' is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J' ​​is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L' is the vibration mode of the bridge, M' is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P' is the number of different structures contained in the bridge, and ρ' is the disaster weight; The construction quality assessment model of the bridge includes: Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time to deal with construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time; Fitting the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge, or the construction quality assessment model of the bridge by a gradient descent method; A multi-objective evaluation of the bridge is completed through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and the quality of the bridge project is optimized according to the evaluation results.

2. A multi-objective optimization system for quality inspection of super-long span sea-crossing bridge projects, characterized in that: include: An information acquisition module is used to acquire bridge information, wherein the bridge information includes: bridge axial force, bridge cross-sectional area, bridge bending moment, bridge torque, total span of the bridge, bridge diameter, bridge elastic modulus, moment of inertia of the bridge cross-sectional area, and bridge material density; Setting a model module, respectively setting a structural safety assessment model of a bridge for evaluating the structural safety of the bridge, a service life assessment model of a bridge for evaluating the service life of the bridge, and a construction quality assessment model of a bridge for evaluating the construction quality, and respectively calculating the structural safety index of the bridge, the service life assessment index of the bridge, and the construction quality assessment index of the bridge; The structural safety assessment model of the bridge includes: Among them, F s is the structural safety index of the bridge, P is the axial force of the bridge, A is the area of ​​the bridge cross section, α is the first adjustment factor, M is the bending moment of the bridge, S is the section modulus, γ is the second adjustment factor, θ is the third adjustment factor, T is the bridge torque, J is the polar moment of inertia, δ is the fourth adjustment factor, V is the shear force in the shear zone, η is the fifth adjustment factor, Q is the bending moment in the shear zone, q is the externally applied load, L is the total span of the bridge, D is the diameter of the bridge, E is the elastic modulus of the bridge, I′ is the moment of inertia of the bridge cross section, ρ is the material density of the bridge, g is the acceleration of gravity, and ξ is the sixth adjustment factor; The service life assessment model of the bridge includes: Among them, F' is the service life assessment index of the bridge, A' is the design load of the bridge, B is the durability of the bridge material, α' is the durability weight, C is the cross-sectional area of ​​the bridge, β' is the area weight, γ' is the corrosion weight, D' is the seawater corrosion, E' is the average maintenance time of the bridge, F is the actual load applied to the bridge, δ is the maintenance weight, G is the fatigue limit of the bridge material, ∈ is the fatigue limit weight, H is the wind force level of the typhoon, I is the service time of the bridge, ζ is the service time weight, J' ​​is the damping ratio of the bridge material, K is the frequency of the environmental vibration caused by wind, L' is the vibration mode of the bridge, M' is the material damage degree of the bridge structure, N is the maintenance frequency of the bridge, O is the probability of an earthquake, P' is the number of different structures contained in the bridge, and ρ' is the disaster weight; The construction quality assessment model of the bridge includes: Among them, F″ is the construction quality evaluation index of the bridge, A″ is the construction quality adjustment factor, B″ is the number of construction defects, α″ is the defect duration weight, C″ is the time to deal with construction defects, D″ is the number of bridge materials that meet national standards, β″ is the weight of the number of change plans, E″ is the number of design changes, F″ is the frequency of accidents during construction, G″ is the delay time during construction, H″ is the maintenance time of construction equipment, I″ is the damage rate of construction equipment, J″ is the downtime caused by environmental impact, K″ is the construction quality correction factor, γ″ is the total construction time weight, and L″ is the total construction time; Fitting the adjustment factors or weights of the structural safety assessment model of the bridge, the service life assessment model of the bridge, or the construction quality assessment model of the bridge by a gradient descent method; The evaluation and optimization module is used to complete the multi-objective evaluation of the bridge through the structural safety index of the bridge, the service life evaluation index of the bridge and the construction quality evaluation index of the bridge, and optimize the quality of the bridge project according to the evaluation results.

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