Rural masonry retaining wall anti-overturning reinforcing method based on component parameter optimization

Abstract

The invention discloses a rural grouted rubble retaining wall anti-overturning reinforcing method based on component parameter optimization, and relates to the technical field of constructional engineering. Obtaining structural related parameters of the grouted rubble retaining wall; the structure related parameters at least comprise the wall body thickness, the wall height, the masonry mortar strength, the foundation burial depth and the value of the soil pressure borne by the retaining wall, and all the anti-overturning performance parameters corresponding to the current retaining wall are obtained based on the structure related parameters. According to the method, performance parameter weights are distributed through the analytic hierarchy process, structural finite element simulation verification is carried out, blindness of empirical reinforcement is avoided, it is ensured that a reinforcement scheme is matched with the actual performance of the retaining wall, the safety requirement is met, cost waste caused by excessive reinforcement is avoided, and by introducing a performance attenuation evaluation value, the safety performance of the retaining wall is improved. And the degeneration trend of the retaining wall is analyzed in combination with historical detection data, so that component parameter optimization not only adapts to the current state, but also can cope with long-term environmental influence, and the service life of the reinforced structure is prolonged.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction engineering, in particular to a rural mortar stone retaining wall anti-overturning reinforcement method based on component parameter optimization. BACKGROUND

[0002] As a key protective structure in agricultural production, rural roads and water conservancy facilities, rural mortar stone retaining walls are widely used in slope protection, soil and water conservation and other scenes. Their anti-overturning performance directly determines the safety of the structure. Once overturning damage occurs, it may lead to land subsidence, road interruption and even casualties, seriously affecting rural life order.

[0003] In the prior art, the anti-overturning reinforcement of rural mortar stone retaining walls relies on empirical construction, which has two major problems: first, the reinforcement lacks targeting and does not combine with the actual structural parameters of the retaining wall for quantitative analysis, which is prone to over-reinforcement or insufficient reinforcement. Over-reinforcement will increase material costs and construction period, and insufficient reinforcement will not meet safety requirements. Second, the performance decay law is not considered. Rural retaining walls are affected by environmental factors such as rainwater erosion and freeze-thaw cycles for a long time, and their anti-overturning performance will gradually decay with service life. The existing method only formulates a reinforcement scheme based on single detection data, which cannot dynamically adapt to changes in retaining wall performance, resulting in short-term effectiveness but poor long-term stability of reinforcement.

[0004] Therefore, the present application proposes a rural mortar stone retaining wall anti-overturning reinforcement method based on component parameter optimization. SUMMARY

[0005] The purpose of the present application is to provide a rural mortar stone retaining wall anti-overturning reinforcement method based on component parameter optimization to solve the problems raised in the background.

[0006] To achieve the above purpose, the present application provides the following technical solution: a rural mortar stone retaining wall anti-overturning reinforcement method based on component parameter optimization, comprising:

[0007] Obtaining structural parameters related to the mortar stone retaining wall; the structural parameters at least include the wall thickness, wall height, mortar strength, foundation depth and soil pressure value of the retaining wall;

[0008] Based on the structural parameters, obtaining each anti-overturning performance parameter corresponding to the current retaining wall; the anti-overturning performance parameters at least include anti-overturning moment, overturning moment and anti-overturning safety factor;

[0009] Based on each anti-overturning performance parameter, obtaining a current risk assessment value; the current risk assessment value at least represents the probability of the current retaining wall overturning damage;

[0010] obtain a performance degradation evaluation value based on the current risk evaluation value and a historical risk evaluation value; the performance degradation evaluation value is used to represent at least a variation range of the current risk evaluation value and the historical risk evaluation value; the historical risk evaluation value is a risk evaluation value corresponding to a previous detection at a current time corresponding to the current risk evaluation value;

[0011] obtain a component parameter adjustment coefficient based on the performance degradation evaluation value;

[0012] optimize the component parameters of the retaining wall based on the component parameter adjustment coefficient; the component parameters include at least a size of a coping beam, a spacing of a buttress column, and a diameter of a tieback; the optimized component parameters satisfy a condition that a safety factor of the retaining wall against overturning is greater than or equal to a preset safety factor threshold, and a component cost is less than or equal to a preset cost threshold; the preset safety factor threshold and the preset cost threshold are preset.

[0013] As a specific solution of the technical scheme, the obtaining of the current risk evaluation value based on the various anti-overturning performance parameters comprises:

[0014] obtaining a weight coefficient corresponding to each anti-overturning performance parameter based on an analytic hierarchy process;

[0015] constructing a risk evaluation model based on each anti-overturning performance parameter and the corresponding weight coefficient;

[0016] inputting the various anti-overturning performance parameters into the risk evaluation model to obtain the current risk evaluation value.

[0017] As a specific solution of the technical scheme, the weight distribution of the various anti-overturning performance parameters based on the analytic hierarchy process to obtain the weight coefficient corresponding to each anti-overturning performance parameter comprises:

[0018] calculating a maximum eigenvalue of the judgment matrix and a corresponding eigenvector;

[0019] normalizing the eigenvector to obtain the weight coefficient corresponding to each anti-overturning performance parameter;

[0020] performing consistency checking on the judgment matrix; if the checking is passed, the weight coefficient is determined to be valid; if the checking is not passed, the judgment matrix is reconstructed and the above steps are repeated.

[0021] As a specific solution of the technical scheme, the construction of the risk evaluation model based on each anti-overturning performance parameter and the corresponding weight coefficient comprises:

[0022] performing standardization processing on the various anti-overturning performance parameters to eliminate dimensional influence;

[0023] The risk assessment model is constructed by using a weighted summation algorithm based on the normalized anti-overturning performance parameters and corresponding weight coefficients, and an expression of the risk assessment model is:

[0024] wherein R is a current risk assessment value, is a weight coefficient of the ith anti-overturning performance parameter, is a normalized anti-overturning performance parameter.

[0025] As a specific solution of the technical scheme of the present application, after the current risk assessment value is obtained based on the risk assessment model, the method further comprises:

[0026] An environmental impact parameter of the retaining wall is obtained, and the environmental impact parameter at least includes a groundwater level, a soil moisture content and a freeze-thaw cycle number;

[0027] A fuzzy comprehensive evaluation method is used to obtain the environmental impact parameter based on the environmental impact parameter;

[0028] The current risk assessment value is corrected based on the environmental impact parameter.

[0029] As a specific solution of the technical scheme of the present application, the performance degradation evaluation value is obtained based on the current risk assessment value and a historical risk assessment value, and the method comprises:

[0030] A current service life of the retaining wall and a service life at a historical detection time are obtained based on the structure-related parameters;

[0031] A difference between the current service life of the retaining wall and the service life at the historical detection time is calculated to obtain a service time difference;

[0032] A difference between the current risk assessment value and the historical risk assessment value is calculated to obtain a risk change difference;

[0033] The performance degradation evaluation value is obtained by using a ratio method based on the service time difference and the risk change difference, and an expression of the performance degradation evaluation value is: wherein D is a performance degradation evaluation value, is a risk change difference, is a service time difference.

[0034] As a specific solution of the technical scheme of the present application, after the component parameters of the retaining wall are optimized based on the component parameter adjustment coefficient, the method further comprises:

[0035] A finite element model of the retaining wall is established, and the finite element model is constructed based on the optimized component parameters and actual structural dimensions of the retaining wall;

[0036] applying a simulation load to the finite element model; the simulation load at least comprises earth pressure, dead weight and seismic load;

[0037] obtaining an anti-overturning performance parameter of the retaining wall in a simulation state through finite element analysis;

[0038] comparing the anti-overturning performance parameter in the simulation state with a preset safety standard, if the preset safety standard is met, it is determined that the optimized component parameter is feasible, if not, the component parameter is adjusted and the optimization step is repeated.

[0039] As a specific scheme of the technical scheme of the application, after the finite element model of the retaining wall is established, the method further comprises the steps of:

[0040] obtaining actual anti-overturning performance data of the current site detection;

[0041] comparing the theoretical anti-overturning performance data obtained by the finite element model with the actual anti-overturning performance data, and calculating an error value;

[0042] if the error value is less than or equal to a preset error threshold, it is determined that the finite element model is effective, if the error value is greater than the preset error threshold, the model parameter is adjusted and the finite element model is re-established.

[0043] The rural mortar retaining wall anti-overturning reinforcement device based on component parameter optimization comprises:

[0044] a data acquisition module, which obtains structure-related parameters of the mortar retaining wall; the structure-related parameters at least include wall thickness, wall height, mortar strength, foundation burial depth and earth pressure value of the retaining wall;

[0045] a performance analysis module, which obtains each anti-overturning performance parameter corresponding to the current retaining wall based on the structure-related parameters; the anti-overturning performance parameter at least includes anti-overturning moment, overturning moment and anti-overturning safety factor;

[0046] a risk assessment module, which obtains a current risk assessment value based on each anti-overturning performance parameter; the current risk assessment value at least represents the probability of the current retaining wall being damaged by overturning;

[0047] a decay calculation module, which obtains a performance decay evaluation value based on the current risk assessment value and a historical risk assessment value; the performance decay evaluation value at least represents the change amplitude of the current risk assessment value and the historical risk assessment value; the historical risk assessment value is a risk assessment value corresponding to the previous detection at a current time corresponding to the current risk assessment value;

[0048] a coefficient acquisition module, which obtains a component parameter adjustment coefficient based on the performance decay evaluation value;

[0049] a coefficient optimization module, based on the component parameter adjustment parameter, optimizes the component parameters of the retaining wall; the component parameters at least include the size of the coping beam, the distance between the buttress columns and the diameter of the tieback; the optimized component parameters need to meet the condition that the anti-overturning safety factor of the retaining wall is greater than or equal to a preset safety factor threshold, and the component cost is equal to a preset cost threshold; the preset safety factor threshold and the preset cost threshold are preset.

[0050] The rural mortar retaining wall anti-overturning reinforcement system based on component parameter optimization comprises:

[0051] a data collector, which acquires structure-related parameters of the mortar retaining wall; the structure-related parameters at least include the wall thickness, the wall height, the mortar strength, the foundation burial depth and the earth pressure value of the retaining wall;

[0052] a data analysis server, which, based on the structure-related parameters, acquires various anti-overturning performance parameters corresponding to the current retaining wall; the anti-overturning performance parameters at least include the anti-overturning moment, the overturning moment and the anti-overturning safety factor;

[0053] and, based on the various anti-overturning performance parameters, acquires a current risk assessment value; the current risk assessment value at least represents the probability of the current retaining wall being damaged by overturning;

[0054] and, based on the current risk assessment value and a historical risk assessment value, acquires a performance attenuation evaluation value; the performance attenuation evaluation value at least represents the change range of the current risk assessment value and the historical risk assessment value; the historical risk assessment value is a risk assessment value corresponding to the previous detection of the current time corresponding to the current risk assessment value;

[0055] and, based on the performance attenuation evaluation value, acquires a component parameter adjustment coefficient;

[0056] based on, based on the component parameter adjustment parameter, optimizes the component parameters of the retaining wall; the component parameters at least include the size of the coping beam, the distance between the buttress columns and the diameter of the tieback; the optimized component parameters need to meet the condition that the anti-overturning safety factor of the retaining wall is greater than or equal to a preset safety factor threshold, and the component cost is less than or equal to a preset cost threshold; the preset safety factor threshold and the preset cost threshold are preset;

[0057] an execution terminal, which receives the optimized component parameters sent by the data analysis server, and performs a retaining wall reinforcement construction operation based on the parameters.

[0058] Compared with the prior art, the beneficial effects of the present application are:

[0059] The application allocates the performance parameter weight through the analytic hierarchy process, verifies through the structure finite element simulation, avoids the blindness of the empirical reinforcement, ensures that the reinforcement scheme matches the actual performance of the retaining wall, meets the safety demand, avoids the cost waste caused by excessive reinforcement, introduces the performance attenuation evaluation value, analyzes the degradation trend of the retaining wall combined with the historical detection data, makes the component parameter optimization not only adapt to the current state, but also cope with the long-term environmental influence, and prolongs the service life of the reinforced structure. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 A flowchart of a rural mortar stone retaining wall anti-overturning reinforcement method based on component parameter optimization is provided in the embodiments of the application.

[0061] Figure 2 A structural schematic diagram of a rural mortar stone retaining wall anti-overturning reinforcement device based on component parameter optimization is provided in the embodiments.

[0062] Figure 3 A structural schematic diagram of a rural mortar stone retaining wall anti-overturning reinforcement system based on component parameter optimization is provided in the embodiments. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0064] It should be noted that in the description of the application, the terms 'upper', 'lower', 'front', 'back', 'left', 'right','vertical', 'horizontal', 'top', 'bottom', 'inner', 'outer' and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the application.

[0065] In addition, it should be understood that, for the convenience of description, the sizes of various components shown in the drawings are not drawn in accordance with the actual proportional relationship, for example, the thickness or width of certain layers can be exaggerated relative to other layers.

[0066] It should be noted that similar reference numerals and letters in the following drawings represent similar items, and therefore, once an item is defined or described in one drawing, it will not need to be further specifically discussed and described in the description of subsequent drawings.

[0067] To solve the technical problems of lacking dynamic consideration of structural performance attenuation, insufficient optimization of reinforcement parameters, and difficulty in balancing safety and economy in the existing reinforcement methods for rural mortar stone retaining walls against overturning as proposed in the background art, the present application proposes an embodiment of a reinforcement method for rural mortar stone retaining walls against overturning based on component parameter optimization. Figure 1

[0068] The reinforcement method for rural mortar stone retaining walls against overturning based on component parameter optimization comprises steps S100 to S600.

[0069] Step S100: Obtain the structure-related parameters of the mortar stone retaining wall.

[0070] In this embodiment, the structure-related parameters at least include wall thickness, wall height, mortar strength, foundation burial depth, and soil pressure value on the retaining wall.

[0071] In the embodiments of the present application, the structure-related parameters can be obtained in any reasonable manner. For example, for geometric parameters such as wall thickness, wall height, and foundation burial depth, they can be measured on site by laser range finder, total station, etc.; mortar strength can be detected by rebound method or core drilling method, and if the retaining wall has construction archives, the mortar strength test report in the archives can be preferentially retrieved; the soil pressure value on the retaining wall can be monitored on site by burying soil pressure cells, or calculated according to the parameters such as unit weight, internal friction angle, and cohesion of the backfill soil behind the retaining wall, using Coulomb soil pressure theory or Rankine soil pressure theory.

[0072] For example, a certain rural mortar stone retaining wall was built in 2010, and there is no complete construction archive. When detected on site, the laser range finder measured the wall thickness at the top to be 0.8 m, the wall thickness at the bottom to be 1.2 m, and the average wall thickness to be 1.0 m; the total station measured the wall height to be 5.0 m; 3 groups of mortar core samples were drilled at different heights of the wall by core drilling method, and the average value of the mortar strength measured by pressure test was 5.0 Mpa; the foundation burial depth was measured to be 1.5 m by tape measure after excavating the soil on the side of the foundation; according to the fact that the backfill soil behind the retaining wall is silty clay (unit weight 19 kN / m³, internal friction angle 25°, cohesion 15 kpa), the soil pressure value was calculated to be 35 kN / m by Coulomb active soil pressure formula.

[0073] Step S200: Obtain each anti-overturning performance parameter corresponding to the current retaining wall based on the structure-related parameters.

[0074] In this embodiment, the anti-overturning performance parameters at least include anti-overturning moment, overturning moment, and anti-overturning safety factor.

[0075] ​In the embodiments of the present application, the anti-overturning moment refers to the moment resisting overturning generated by the gravity of the retaining wall itself and the gravity of the soil above the foundation, and the calculation thereof needs to be combined with parameters such as the geometric size of the retaining wall and the material specific gravity; the overturning moment is mainly generated by the horizontal load such as the active earth pressure and water pressure borne by the retaining wall; and the anti-overturning safety factor is the ratio of the anti-overturning moment to the overturning moment, and is a core index for measuring the anti-overturning capacity of the retaining wall.

[0076] For example, based on the parameters obtained in step S100, the calculation is performed on a retaining wall with a length of 1 m, the material specific gravity of the wall body is calculated as 23 kN / m³, the anti-overturning moment generated by the self-weight of the wall body is the self-weight of the wall body multiplied by the horizontal distance from the center of gravity thereof to the overturning point, which is calculated as 180 kN·m; the anti-overturning moment generated by the self-weight of the fill above the foundation is 80 kN·m, and the total anti-overturning moment is 260 kN·m; the overturning moment generated by the active earth pressure is the earth pressure value multiplied by the vertical distance from the action point of the earth pressure resultant force to the overturning point, which is calculated as 105 kN·m; and then the anti-overturning safety factor is 260÷105≈2.48.

[0077] Step S300: obtaining a current risk assessment value based on each anti-overturning performance parameter.

[0078] In the embodiments, the current risk assessment value is used at least to represent the probability of the current retaining wall being destroyed by overturning.

[0079] Most of the existing methods judge the risk of the retaining wall by using a single index of the anti-overturning safety factor, ignore the difference in the influence weight of different anti-overturning performance parameters on the risk, and thus the accuracy of the risk assessment is insufficient. The embodiments quantize the weight of each parameter by using the analytic hierarchy process, and construct a risk assessment model by using weighted summation, so as to realize more comprehensive risk representation.

[0080] In one specific embodiment of the present application, step S300 includes steps S310 to S330.

[0081] Step S310: distributing the weight of each anti-overturning performance parameter based on the analytic hierarchy process, to obtain a weight coefficient corresponding to each anti-overturning performance parameter.

[0082] The analytic hierarchy process converts the qualitative weight distribution into quantitative calculation by constructing a judgment matrix, and specifically includes the following steps:

[0083] Constructing a judgment matrix: invite five geotechnical engineering experts, compare “anti-overturning moment (C1), overturning moment (C2), anti-overturning safety factor (C3)” with each other according to the influence degree of each anti-overturning performance parameter on the overturning risk of the retaining wall by using a 1-9 scale method (1 represents the same importance of two parameters, and 9 represents that one parameter is extremely important than the other parameter), and construct a judgment matrix as follows:

[0084]

[0085] Calculate the weight coefficient: calculate the maximum eigenvalue of the judgment matrix , the corresponding eigenvector is [0.230, 0.648, 0.122], and the parameter weight coefficient is obtained by normalizing the eigenvector: overturning resistance moment 0.230, overturning moment 0.648, overturning safety coefficient 0.122.

[0086] Consistency test: calculate the consistency index , find the average random consistency index (n=3, RI=0.58), the consistency ratio , the test is passed, and the weight coefficient is effective.

[0087] Step S320: based on each overturning resistance performance parameter and the corresponding weight coefficient, a risk assessment model is constructed.

[0088] First, the various overturning resistance performance parameters are standardized to eliminate the influence of dimension. Among them, the overturning resistance moment and the overturning safety coefficient are positive indicators (the larger the value, the lower the risk), and the positive standardization formula is adopted: ; the overturning moment is a negative indicator (the larger the value, the higher the risk), and the reverse standard formula is adopted: , wherein x is the original parameter, , and the maximum and minimum values of the parameter (which can be determined according to the statistical data of the same type of retaining wall in the local area) respectively.

[0089] Based on the standardized overturning resistance performance parameters and the corresponding weight coefficients, a weighted summation algorithm is used to construct the update assessment model, which is represented as: ;

[0090] , wherein R is the current risk assessment value, is the weight coefficient of the i-th overturning resistance performance parameter, is the standardized i-th overturning resistance performance parameter. The value range of R is [0, 1], the closer R is to 1, the higher the risk of retaining wall overturning; the closer R is to 0, the lower the overturning risk.

[0091] Step S330: input each overturning resistance performance parameter into the risk assessment model to obtain the current risk assessment value.

[0092] For example, combined with the parameters of step S200 and the statistical data of the same type of retaining wall in the local area (overturning resistance moment , ; overturning moment , ; overturning safety coefficient , ), the parameters are standardized:

[0093] The overturning moment normalized value:

[0094] The overturning moment normalized value:

[0095] The overturning moment normalized value:

[0096] The normalized value and the weight coefficient are substituted into the model to calculate the current risk assessment value:

[0097]

[0098] In another specific embodiment of the present application, step S330 is followed by steps S340 to S360.

[0099] Step S340: Obtain the environmental impact parameters of the retaining wall.

[0100] The environmental impact parameters at least include the groundwater level, soil moisture content and freeze-thaw cycle coefficient. The groundwater level can be monitored by embedding a water level gauge, the soil moisture content of the backfill soil behind the retaining wall can be detected by drying method, and the freeze-thaw cycle coefficient in the past 5 years can be calculated according to the local meteorological data (one freeze-thaw cycle is when the daily average temperature is lower than 0℃ and the next day is higher than 0℃).

[0101] Step S350: Based on the environmental impact parameters, the environmental impact coefficient is obtained by using fuzzy comprehensive evaluation method.

[0102] Determine the evaluation factor set: U={groundwater level (u1), soil moisture content (u2), freeze-thaw cycle coefficient (u3)}.

[0103] Determine the comment set: V={small impact (v1), moderate impact (v2), large impact (v3)}, and the corresponding environmental impact coefficients are 0.8, 1.0 and 1.2, respectively.

[0104] Construct the fuzzy judgment matrix: According to the evaluation of each factor belonging to the expert experience, the fuzzy judgment matrix is obtained, the fuzzy evaluation vector of each factor is calculated by weighted average method, and finally the environmental impact coefficient is synthesized. For example, the groundwater level of a retaining wall is 1.0 m (moderate impact), the soil moisture content is 22% (large impact), and the freeze-thaw cycle is 15 times / year (moderate impact), and the environmental impact coefficient is calculated to be 1.05.

[0105] Step S360: Based on the environmental impact coefficient, the current risk assessment value is corrected.

[0106] The corrected risk assessment value wherein K is an environmental impact coefficient, in the above example , the modified value is more consistent with the risk state of the retaining wall under the actual service environment.

[0107] Step S400: Obtain a performance degradation evaluation value based on the current evaluation value and the historical risk evaluation value.

[0108] In the present embodiment, the performance degradation evaluation value is used to at least represent the change amplitude of the current risk evaluation value and the historical risk evaluation value; the historical risk evaluation value is a risk evaluation value corresponding to a previous detection at a current time corresponding to the current risk evaluation value.

[0109] The performance degradation evaluation value can quantify the deterioration speed of the anti-overturning performance of the retaining wall over time, providing a dynamic basis for subsequent parameter optimization.

[0110] In one specific embodiment of the present application, step S400 includes steps S410 to S400:

[0111] Step S410: Obtain the current service life of the retaining wall and the service life at the time of historical detection based on the structure-related parameters.

[0112] For example, the retaining wall was built in 2010, the current detection time is 2024, and the current service life is 14 years; the historical detection time is 2020, and the service life at the time of historical detection is 10 years.

[0113] Step S420: Calculate the difference between the current service life of the retaining wall and the service life at the time of historical detection to obtain a service duration difference.

[0114] Service duration difference .

[0115] Step S430: Calculate the difference between the current risk evaluation value and the historical risk evaluation value to obtain a risk change difference.

[0116] If the historical risk evaluation value Rhistory=0.45 detected in 2020, the risk change difference is .

[0117] Step S440: Obtain the performance degradation evaluation value using the ratio method based on the service duration difference and the risk change difference.

[0118] The expression of the performance degradation evaluation value is:

[0119]

[0120] wherein D is the performance degradation evaluation value, is the risk change difference, is the service duration difference. In the above example , indicating that the retaining wall has an average risk growth of 0.048, and the performance degradation speed is relatively gentle.

[0121] Step S500: Obtain a component parameter adjustment coefficient based on the performance degradation evaluation value.

[0122] The component parameter adjustment coefficient is positively correlated with the performance degradation evaluation value. The faster the degradation, the greater the adjustment coefficient, and the more significant optimization of the component parameters is required. The value of the adjustment coefficient can be determined by establishing a correspondence table between D and the adjustment coefficient, for example:

[0123]

[0124] In the above example, , the corresponding component parameter adjustment coefficient is .

[0125] Step S600: Optimize the component parameters of the retaining wall based on the component parameter adjustment coefficient.

[0126] In this embodiment, the component parameters at least include the size of the coping beam, the spacing of the buttress column, and the diameter of the tieback. The optimized component parameters need to meet the requirements that the safety factor against overturning of the retaining wall is greater than or equal to a preset safety factor threshold (according to the Highway Subgrade Design Specification and other specifications, the preset safety factor threshold for rural mortar stone retaining walls is 1.5), and the component cost is less than or equal to a preset cost threshold (determined according to the engineering budget, for example, 50,000 yuan / 10m).

[0127] For example, the original component parameters of the retaining wall are: the size of the coping beam gear is 0.3m x 0.3m, the spacing of the buttress column is 4.0m, and the diameter of the tieback is 8mm. Based on the adjustment coefficient , the optimization is as follows:

[0128] The size of the coping beam: 0.3 x 1.2 = 0.36m, 0.3 x 1.2 = 0.36m, adjusted to 0.4m x 0.4m (rounded and meeting the structural requirements);

[0129] The spacing of the buttress column: 4.0 ÷ 1.2 ≈ 3.33m, adjusted to 3.0m;

[0130] The diameter of the tieback: 8 x 1.2 = 9.6mm, adjusted to 10mm.

[0131] After optimization, the safety factor against overturning of the retaining wall is recalculated as , and the component cost of a 10m retaining wall is 48,000 yuan ≤ 50,000 yuan, meeting the preset threshold requirements.

[0132] In another specific embodiment of the present application, step S600 further includes steps S610 to S640: ​​

[0133] Step S610: Establishing a retaining wall finite element model

[0134] Based on the optimized component parameters and the actual structure size of the retaining wall, a three-dimensional model of the retaining wall is constructed using finite element software such as ABAQUS and ANSYS. In the model, the material properties of the wall, the constraint conditions of the foundation, and the interaction between the retaining wall and the fill should be accurately simulated.

[0135] Step S620: Applying a simulated load to the finite element model

[0136] The simulated load includes at least soil pressure, self-weight, and seismic load. Soil pressure can be applied through surface load in the software, self-weight is automatically calculated by the software, and seismic load is converted into acceleration load according to the local seismic intensity (e.g. VIII degree) and the "Code for Seismic Design of Buildings".

[0137] Step S630: Obtaining the anti-overturning performance parameters of the retaining wall under the simulated state through finite element analysis

[0138] Through finite element analysis, the anti-overturning moment, overturning moment, and anti-overturning safety factor of the retaining wall under the simulated state are extracted. For example, the analysis results are: anti-overturning moment 320 kN·m, overturning moment 112 kN·m, and anti-overturning safety factor 2.86.

[0139] Step S640: Comparing the anti-overturning performance parameters under the simulated state with the preset safety standard

[0140] If the preset safety standard (anti-overturning safety factor ≥ 1.5) is met, it is determined that the optimized component parameters are feasible; if not, the component parameter adjustment coefficient is adjusted and the optimization step is repeated. In the above example, 2.86 ≥ 1.5, so the parameters are feasible.

[0141] In another specific embodiment of the present application, after step S610, steps S611 to S613 are further included:

[0142] Step S611: Obtaining actual anti-overturning performance data detected in the current field

[0143] The anti-overturning performance of the retaining wall under actual load is detected through field loading test (such as pile loading test), and the actual anti-overturning safety factor is 2.80.

[0144] Step S612: Comparing the theoretical anti-overturning performance data calculated by the finite element model with the actual anti-overturning performance data, and calculating the error value

[0145]

[0146] Step S613: Determining whether the error value is less than or equal to the preset error threshold (e.g. 5%)

[0147] If the error value is less than or equal to 5%, it is determined that the finite element model is valid; if the error value is greater than 5%, the model parameters (such as the material elastic modulus and the friction coefficient) are adjusted and the finite element model is reconstructed. In the above example, 2.14%<5%, the model is valid.

[0148] After introducing the rural mortar-laid stone retaining wall anti-overturning reinforcement method based on component parameter optimization proposed in the embodiments of the present application, an embodiment of a rural mortar-laid stone retaining wall anti-overturning reinforcement device based on component parameter optimization proposed in the present application is introduced. As shown in the figure, Figure 2 The rural mortar-laid stone retaining wall anti-overturning reinforcement device 20 based on component parameter optimization includes:

[0149] The data acquisition module 21 acquires the structure-related parameters of the mortar-laid stone retaining wall.

[0150] The performance analysis module 22 acquires the respective anti-overturning performance parameters corresponding to the current retaining wall based on the structure-related parameters.

[0151] The risk assessment module 23 acquires the current risk assessment value based on the respective anti-overturning performance parameters; the current risk assessment value is at least used to represent the probability of the current retaining wall being destroyed by overturning.

[0152] The attenuation calculation module 24 acquires the performance attenuation evaluation value based on the current risk assessment value and the historical risk assessment value; the performance attenuation evaluation value is at least used to represent the change amplitude of the current risk assessment value and the historical risk assessment value; the historical risk assessment value is the risk assessment value corresponding to the previous detection of the current time corresponding to the current risk assessment value.

[0153] The coefficient acquisition module 25 acquires the component parameter adjustment coefficient based on the performance attenuation evaluation value.

[0154] The coefficient optimization module 26 optimizes the component parameters of the retaining wall based on the component parameter adjustment parameter.

[0155] After introducing the rural mortar-laid stone retaining wall anti-overturning reinforcement device based on component parameter optimization proposed in the embodiments of the present application, an embodiment of a rural mortar-laid stone retaining wall anti-overturning reinforcement system based on component parameter optimization proposed in the present application is introduced. As shown in the figure, Figure 3 The rural mortar-laid stone retaining wall anti-overturning reinforcement system 30 based on component parameter optimization includes:

[0156] The data acquisition module 21 acquires the structure-related parameters of the mortar-laid stone retaining wall; the structure-related parameters at least include the wall thickness, wall height, mortar strength, foundation burial depth, and earth pressure value of the retaining wall.

[0157] The data analysis server 32 obtains, based on the structure-related parameters, various anti-overturning performance parameters corresponding to the current retaining wall; the anti-overturning performance parameters at least include an anti-overturning moment, an overturning moment, and an anti-overturning safety factor;

[0158] Further, based on the various anti-overturning performance parameters, a current risk assessment value is obtained; the current risk assessment value at least represents a probability of overturning damage of the current retaining wall;

[0159] Further, based on the current risk assessment value and a historical risk assessment value, a performance attenuation evaluation value is obtained; the performance attenuation evaluation value at least represents a change range of the current risk assessment value and the historical risk assessment value; the historical risk assessment value is a risk assessment value corresponding to a previous detection at a current time corresponding to the current risk assessment value;

[0160] Further, based on the performance attenuation evaluation value, a component parameter adjustment coefficient is obtained;

[0161] Further, based on the component parameter adjustment parameter, component parameters of the retaining wall are optimized; the component parameters at least include a size of a coping beam, a spacing of a buttress column, and a diameter of a tieback; the optimized component parameters need to satisfy that an anti-overturning safety factor of the retaining wall is greater than or equal to a preset safety factor threshold, and a component cost is less than or equal to a preset cost threshold; the preset safety factor threshold and the preset cost threshold are preset;

[0162] The execution terminal 33 receives the optimized component parameters sent by the data analysis server 32, and performs a retaining wall reinforcement construction operation based on the parameters.

[0163] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0164] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described method, device and equipment can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

[0165] In several embodiments provided in the embodiments of the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented by other manners. For example, the apparatus embodiment described above is only schematic, for example, the division of the modules is only a logical function division, and actual implementation can have another division manner, for example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed ones can be indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0166] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected as needed to achieve the purpose of the embodiment.

[0167] In addition, each functional module in each embodiment of the present application can be integrated into one processing module, or each module can be physically separate, or two or more modules can be integrated into one module. The integrated module can be implemented in the form of hardware or software function module. When the integrated module is implemented in the form of software function module and sold or used as an independent product, it can be stored in a computer readable storage medium.

[0168] In the above embodiments, all or part can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part can be implemented in the form of a computer program product.

[0169] The computer program product includes one or more computer instructions. When the computer program is loaded and executed on the computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.) manner. The computer readable storage medium can be any available medium that the computer can store or the data storage device such as server, data center, etc. integrated with one or more available media. The available media can be magnetic media (such as floppy disk, hard disk, magnetic tape), optical media (such as digital video disc), or semiconductor media (such as solid state disk (SSD)) and the like.

[0170] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization, characterized in that, include: Obtain the structural parameters of the masonry retaining wall; The structural parameters include at least the wall thickness, wall height, mortar strength, foundation depth, and earth pressure on the retaining wall. Based on the aforementioned structural parameters, obtain the various anti-overturning performance parameters corresponding to the current retaining wall; the anti-overturning performance parameters include at least the anti-overturning moment, the overturning moment, and the anti-overturning safety factor; Based on each anti-overturning performance parameter, obtain the current risk assessment value; The current risk assessment value is used to characterize at least the probability of the current retaining wall overturning and failing; Based on the current risk assessment value and the historical risk assessment value, obtain the performance degradation assessment value; The performance degradation assessment value is used at least to characterize the magnitude of change between the current risk assessment value and the historical risk assessment value; the historical risk assessment value is the risk assessment value corresponding to the previous detection at the current time corresponding to the current risk assessment value; Based on the performance degradation evaluation value, obtain the component parameter adjustment coefficient; Based on the component parameter adjustment coefficient, the component parameters of the retaining wall are optimized; the component parameters include at least the size of the capping beam, the spacing of the buttress columns, and the diameter of the tie bars; the optimized component parameters must meet the following requirements: the overturning safety factor of the retaining wall is greater than or equal to the preset safety factor threshold, and the component cost is less than or equal to the preset cost threshold. The preset safety factor threshold and preset cost threshold are set in advance.

2. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 1, characterized in that, The process of obtaining the current risk assessment value based on various anti-overturning performance parameters includes: Weighting coefficients for each anti-overturning performance parameter based on the analytic hierarchy process; A risk assessment model is constructed based on each anti-overturning performance parameter and its corresponding weighting coefficient; Input each anti-overturning performance parameter into the risk assessment model to obtain the current risk assessment value.

3. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 2, characterized in that, The weight allocation of each overturning resistance performance parameter based on the analytic hierarchy process (AHP) to obtain the weight coefficient corresponding to each overturning resistance performance parameter includes: Calculate the maximum eigenvalue and the corresponding eigenvector of the judgment matrix; The feature vector is normalized to obtain the weight coefficients corresponding to each overturning resistance performance parameter; Perform a consistency check on the judgment matrix. If the check passes, the weight coefficients are determined to be valid. If the check fails, reconstruct the judgment matrix and repeat the above steps.

4. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 2, characterized in that, The risk assessment model is constructed based on each anti-overturning performance parameter and its corresponding weighting coefficient, including: Standardize all anti-overturning performance parameters to eliminate the influence of dimensions; Based on the standardized anti-overturning performance parameters and corresponding weighting coefficients, a weighted summation algorithm is used to construct the risk assessment model; the expression of the risk assessment model is: Where R is the current risk assessment value, The weighting coefficient for the i-th anti-overturning performance parameter is... This is the standardized i-th anti-overturning performance parameter.

5. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 4, characterized in that, After obtaining the current risk assessment value based on the risk assessment model, the method further includes: Obtain environmental impact parameters of the retaining wall; the environmental impact parameters include at least the groundwater level, soil moisture content, and number of freeze-thaw cycles. Based on the aforementioned environmental impact parameters, the fuzzy comprehensive evaluation method is used to obtain the environmental impact parameters; Based on the aforementioned environmental impact parameters, the current risk assessment value is revised.

6. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 1, characterized in that, The process of obtaining a performance degradation evaluation value based on the current risk assessment value and the historical risk assessment value includes: Based on the aforementioned structural parameters, the current service life of the retaining wall and its service life at the time of historical inspections are obtained. Calculate the difference between the current service life of the retaining wall and the service life at the time of historical inspection to obtain the service life difference; The difference between the current risk assessment value and the historical risk assessment value is calculated to obtain the risk change difference; Based on the difference in service duration and the difference in risk change, the performance degradation evaluation value is obtained using a ratio method; the expression for the performance degradation evaluation value is: Where D is the performance degradation evaluation value, For poor risk changes, This is due to the difference in service duration.

7. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 1, characterized in that, After optimizing the component parameters of the retaining wall based on the component parameter adjustment coefficient, the method further includes: A finite element model of the retaining wall is established; the finite element model is constructed based on the optimized component parameters and the actual structural dimensions of the retaining wall. Simulated loads are applied to the finite element model; the simulated loads include at least earth pressure, self-weight, and seismic loads. The overturning resistance parameters of the retaining wall under simulated conditions were obtained through finite element analysis. The anti-overturning performance parameters under simulated conditions are compared with the preset safety standards. If the preset safety standards are met, the optimized component parameters are determined to be feasible; otherwise, the component parameter u adjustment coefficient is readjusted and the optimization steps are repeated.

8. The method for reinforcing rural masonry retaining walls against overturning based on component parameter optimization according to claim 7, characterized in that, After establishing the finite element model of the retaining wall, the method is also quite good: Obtain the actual overturning resistance performance data from the current on-site testing; The theoretical overturning resistance data obtained from the finite element model are compared with the actual overturning resistance data, and the error value is calculated. If the error value is less than or equal to the preset error threshold, the finite element model is determined to be valid; If the error value is greater than the preset error threshold, the model parameters are adjusted and the finite element model is reconstructed.

9. A rural masonry retaining wall anti-overturning reinforcement device based on component parameter optimization, characterized in that, include: The data acquisition module obtains the structural parameters of the masonry retaining wall; The structural parameters include at least the wall thickness, wall height, mortar strength, foundation depth, and earth pressure on the retaining wall. The performance analysis module obtains the various anti-overturning performance parameters corresponding to the current retaining wall based on the relevant structural parameters. The anti-overturning performance parameters include at least the anti-overturning moment, the overturning moment, and the anti-overturning safety factor; The risk assessment module obtains the current risk assessment value based on various anti-overturning performance parameters; The current risk assessment value is used to characterize at least the probability of the current retaining wall overturning and failing; The attenuation calculation module obtains the performance attenuation assessment value based on the current risk assessment value and the historical risk assessment value; The performance degradation assessment value is used at least to characterize the magnitude of change between the current risk assessment value and the historical risk assessment value; the historical risk assessment value is the risk assessment value corresponding to the previous detection at the current time corresponding to the current risk assessment value; The coefficient acquisition module acquires component parameter adjustment coefficients based on the performance degradation evaluation value; The coefficient optimization module adjusts the parameters based on the component parameters to optimize the component parameters of the retaining wall; the component parameters include at least the size of the capping beam, the spacing of the buttress columns, and the diameter of the tie bars; the optimized component parameters must meet the following requirements: the overturning safety factor of the retaining wall is greater than or equal to the preset safety factor threshold, and the component cost is equal to the preset cost threshold. The preset safety factor threshold and preset cost threshold are set in advance.

10. A rural masonry retaining wall anti-overturning reinforcement system based on component parameter optimization, characterized in that, include: The data acquisition device obtains the structural parameters of the masonry retaining wall. The structural parameters include at least the wall thickness, wall height, mortar strength, foundation depth, and earth pressure on the retaining wall. The data analysis server obtains various anti-overturning performance parameters corresponding to the current retaining wall based on the structural parameters; the anti-overturning performance parameters include at least the anti-overturning moment, the overturning moment, and the anti-overturning safety factor. In addition, based on each anti-overturning performance parameter, the current risk assessment value is obtained; The current risk assessment value is used to characterize at least the probability of the current retaining wall overturning and failing; Furthermore, based on the current risk assessment value and the historical risk assessment value, a performance degradation evaluation value is obtained; The performance degradation evaluation value is used at least to characterize the change range of the current risk assessment value and the historical risk assessment value; the historical risk assessment value is the risk assessment value corresponding to the previous detection at the current time corresponding to the current risk assessment value; Furthermore, based on the performance degradation evaluation value, the component parameter adjustment coefficient is obtained; Furthermore, based on the component parameters, the adjustment parameters are used to optimize the component parameters of the retaining wall; the component parameters include at least the size of the capping beam, the spacing of the buttress columns, and the diameter of the tie bars; the optimized component parameters must meet the following requirements: the overturning safety factor of the retaining wall is greater than or equal to a preset safety factor threshold, and the component cost is less than or equal to a preset cost threshold. The preset safety factor threshold and preset cost threshold are preset; The execution terminal receives the optimized component parameters sent by the data analysis server and performs the retaining wall reinforcement construction operation based on the parameters.

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