An earthquake-resistant treatment efficiency evaluation system for thick covered loess sites

Abstract

This invention discloses a seismic treatment effectiveness evaluation system for thick loess sites, belonging to the fields of geotechnical engineering and earthquake engineering technology. The system comprehensively evaluates the seismic treatment effect by acquiring dynamic characteristic parameters and seismic response parameters of thick loess sites before and after seismic treatment. The system includes a site foundation parameter acquisition module, a dynamic characteristic parameter acquisition module, a loess dynamic degradation characteristic analysis module, a seismic response simulation module, a seismic treatment effectiveness quantification module, and an evaluation result output module. Specifically, it analyzes the loess dynamic degradation characteristics based on parameters such as shear wave velocity, shear modulus, and damping ratio, and acquires seismic response results such as surface acceleration, shear strain, and site amplification factor under the same seismic motion input conditions. By normalizing and weighting the dynamic degradation improvement index and the seismic response improvement index, a comprehensive seismic treatment effectiveness index is constructed, enabling quantitative evaluation and classification of seismic treatment effectiveness.

Description

Technical Field

[0001] This invention relates to the fields of geotechnical engineering and earthquake engineering technology, and more specifically, to an evaluation system for the seismic treatment effectiveness of thick loess sites. Background Technology

[0002] Thick loess-covered sites are widely distributed in Northwest my country, North China, and the Loess Plateau. Their formation is complex and their structure is significant, typically exhibiting engineering characteristics such as high porosity, wide variation in natural moisture content, susceptibility to waterlogging, and poor dynamic stability. Under seismic loading, thick loess-covered sites often demonstrate significant dynamic softening behavior and amplified site response, easily leading to foundation subsidence, shear failure, and amplified seismic damage to superstructures. They have become one of the most significant unfavorable site types affecting the seismic safety of engineering projects.

[0003] To address the seismic challenges of thick loess-covered sites, various seismic treatment and foundation improvement techniques have been developed in engineering practice, such as dynamic compaction, ramming and densification, grouting reinforcement, replacement, and composite foundation treatment methods. These seismic treatment measures, by increasing soil density, improving structural integrity, or enhancing overall stiffness, can reduce the risk of deformation under seismic loads and improve the site's seismic performance to a certain extent. Therefore, in railway, highway, municipal, and building engineering projects, appropriate seismic treatment is typically required before construction on thick loess-covered sites.

[0004] However, existing methods for evaluating the seismic treatment effects on thick loess sites still have significant shortcomings. On the one hand, the effectiveness of seismic treatment is often judged primarily through static indicators, such as foundation bearing capacity, compression modulus, or compression settlement. However, these indicators are difficult to reflect the true dynamic response characteristics of loess under seismic loading, and especially difficult to describe the dynamic degradation process of loess at different strain levels. On the other hand, even if some projects introduce dynamic indicators such as shear wave velocity, surface acceleration, or amplification factor, they are usually only used as single indicators for comparative analysis, lacking a systematic characterization of the changes in dynamic characteristics before and after seismic treatment.

[0005] Furthermore, existing evaluation methods largely focus on the seismic response results themselves, such as changes in peak ground acceleration or peak shear strain, while paying less attention to the impact of seismic treatment on the dynamic degradation mechanism of loess. For example, the degradation rate of loess shear modulus with increasing strain and the evolution characteristics of damping ratio with strain are important dynamic parameters reflecting the structural damage and energy dissipation capacity of loess under seismic loading, but they are often not systematically incorporated into existing seismic treatment evaluation systems or are only used as qualitative references. This makes it difficult to distinguish between "improved response results" and "fundamental improvement in dynamic characteristics," and the evaluation conclusions have a certain degree of randomness.

[0006] Meanwhile, the applicability of different seismic treatment measures varies significantly under different loess cover thicknesses. In existing projects, the selection of seismic treatment schemes often relies on experience or analogy with existing engineering cases, lacking a unified and quantifiable basis for performance evaluation. It is difficult to objectively compare different treatment schemes or different treatment intensities, and it is also difficult to determine whether a certain seismic treatment measure achieves the expected seismic effect under specific thick loess cover conditions.

[0007] In summary, existing technologies for evaluating the seismic treatment effectiveness of thick loess sites generally suffer from problems such as using only single evaluation indicators, lacking a systematic evaluation process, difficulty in simultaneously reflecting dynamic degradation processes and seismic response results, and difficulty in quantitatively comparing different seismic treatment schemes. Therefore, it is necessary to propose a seismic treatment effectiveness evaluation technology for thick loess sites. By introducing a comprehensive analysis of loess dynamic degradation characteristics and seismic response improvement characteristics, this technology can achieve a systematic and quantitative evaluation of seismic treatment effectiveness, thereby providing a reliable basis for selecting seismic treatment schemes, evaluating construction effects, and making seismic safety decisions for engineering projects.

[0008] Therefore, there is an urgent need for an evaluation system for the seismic performance of thick loess-covered sites to solve these problems. Summary of the Invention

[0009] The purpose of this invention is to solve the technical problems mentioned in the background section and to provide a seismic performance evaluation system for thick-covered loess sites, the system comprising: The site basic parameter acquisition module is used to acquire information on the layered structure of thick loess sites, loess cover thickness, physical and mechanical parameters, and groundwater conditions. The dynamic characteristic parameter acquisition module is used to acquire dynamic characteristic parameters of the loess site under different strain levels, such as shear wave velocity, equivalent shear modulus, damping ratio and natural frequency, before and after seismic treatment. The Loess Dynamic Degradation Characteristic Analysis Module is used to analyze the degradation law of loess shear modulus and damping ratio with shear strain based on the dynamic characteristic parameters, so as to characterize the impact of seismic treatment on the structural damage and dynamic softening characteristics of loess. The seismic response simulation module is used to analyze the seismic dynamic response of a loess site before and after seismic treatment under the same seismic input conditions, and to obtain acceleration response, shear strain response and site amplification effect parameters. The seismic treatment effectiveness quantification module is used to quantitatively calculate the degree of improvement in the seismic performance of the loess site before and after seismic treatment based on the results of changes in dynamic degradation characteristics and seismic response, and to obtain the seismic treatment effectiveness evaluation results. The evaluation result output module is used to output the evaluation results of seismic treatment effectiveness.

[0010] As a preferred technical solution of the present invention: the dynamic characteristic parameter acquisition module acquires dynamic parameter variation data of loess under different shear strain levels through at least one of in-situ shear wave velocity testing, field dynamic testing or indoor dynamic testing.

[0011] As a preferred technical solution of the present invention: the loess dynamic degradation characteristic analysis module is used to calculate the difference in degradation slope of loess shear modulus with increasing shear strain before and after seismic treatment, so as to characterize the degree of improvement of the loess's structural integrity retention capacity by seismic treatment.

[0012] As a preferred technical solution of the present invention: the loess dynamic degradation characteristic analysis module is also used to analyze the difference in the evolution amplitude of the loess damping ratio with shear strain before and after seismic treatment, so as to characterize the enhancement effect of seismic treatment on the seismic energy dissipation capacity of loess.

[0013] As a preferred technical solution of the present invention: the earthquake response simulation module uses the same ground motion record or equivalent ground motion input conditions to conduct a comparative analysis of the earthquake response of the loess site before and after seismic treatment, so as to eliminate the influence of the difference in earthquake input on the evaluation results.

[0014] As a preferred technical solution of the present invention, the seismic treatment effectiveness quantification module constructs the seismic treatment effectiveness evaluation result based on at least two of the following types of indicators: Indicators for improving the dynamic degradation characteristics of loess include the decrease in the slope of shear modulus degradation and the change in the magnitude of damping ratio evolution; Seismic response improvement indicators include the magnitude of the decrease in peak ground acceleration, the magnitude of the decrease in peak shear strain, and the magnitude of the change in the site amplification factor.

[0015] As a preferred technical solution of the present invention: the seismic treatment effectiveness quantification module performs graded judgment on the seismic treatment effectiveness based on the dynamic degradation characteristic improvement index and the seismic response improvement index, so as to determine whether the seismic treatment measures meet the preset seismic improvement requirements.

[0016] As a preferred technical solution of the present invention: the seismic treatment effectiveness quantification module is used to compare and analyze the seismic treatment effectiveness evaluation results under different loess cover thicknesses, so as to determine the changing trend of the applicability of seismic treatment measures in thick loess cover sites.

[0017] As a preferred technical solution of the present invention: the evaluation result output module is used to output the seismic treatment effectiveness evaluation results in the form of effectiveness level, numerical score or graphical method.

[0018] As a preferred technical solution of the present invention, the system is configured for comparative analysis of seismic treatment schemes for thick-covered loess sites or evaluation of construction effects.

[0019] Compared with the prior art, the seismic performance evaluation system for thick loess sites provided by the present invention has at least the following beneficial effects: This invention achieves a comprehensive characterization of the seismic treatment effect on thick loess sites by simultaneously incorporating loess dynamic degradation characteristics and seismic response results into the evaluation of seismic treatment effectiveness. Unlike traditional methods that evaluate solely based on bearing capacity, compression modulus, or a single seismic response index, this invention not only focuses on the changes in response results such as surface acceleration and shear strain after seismic treatment, but also further characterizes the changes in key parameters reflecting the structural and dynamic softening characteristics of loess, such as the slope of shear modulus degradation with strain and the evolution amplitude of damping ratio. Therefore, it can simultaneously reflect the seismic effect at two levels: "fundamental improvement in dynamic characteristics" and "improvement in seismic response results," resulting in a more objective and comprehensive evaluation.

[0020] This invention constructs a unified quantitative index system for seismic treatment effectiveness, normalizes and weights multiple dynamic degradation improvement indices and seismic response improvement indices to form a comprehensive effectiveness index, thereby achieving a quantitative expression of seismic treatment effectiveness. This comprehensive effectiveness index allows for direct comparison of different seismic treatment measures, treatment intensities, or construction schemes under the same seismic input conditions, effectively avoiding the bias and subjectivity of single-index evaluations, and improving the scientific rigor and comparability of seismic treatment scheme selection and construction effect evaluation.

[0021] This invention, by presetting performance level thresholds and seismic improvement requirements, enables the grading and standard-reaching judgment of seismic treatment effectiveness. This allows the evaluation results to go beyond numerical values ​​and be directly translated into engineering decision-making data. Furthermore, this invention can compare and analyze the seismic treatment effectiveness under different loess cover thicknesses, helping to determine the changing trends in the applicability of seismic treatment measures in thick loess areas. This provides effective technical support for the rational selection of seismic treatment schemes, construction quality control, and seismic performance verification of existing projects in thick loess regions. Attached Figure Description

[0022] Figure 1 This is a system block diagram of an evaluation system for the seismic treatment effectiveness of thick loess sites proposed in this invention; Figure 2 This is a system workflow diagram of an evaluation system for the seismic treatment effectiveness of thick loess sites proposed in this invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the following description is provided in conjunction with embodiments and appendices. Figures 1-2 The present invention will be further described in detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0024] This invention provides a seismic treatment effectiveness evaluation system for thick loess sites, used to quantitatively evaluate and classify the changes in dynamic characteristics and the degree of improvement in seismic response of thick loess sites before and after seismic treatment. The system consists of a site foundation parameter acquisition module, a dynamic characteristic parameter acquisition module, a loess dynamic degradation characteristic analysis module, a seismic response simulation module, a seismic treatment effectiveness quantification module, and an evaluation result output module. These modules can be centrally deployed on the same computing terminal or distributed between the data acquisition and computing terminals to adapt to engineering workflows involving both on-site data acquisition and indoor computation.

[0025] The system first collects basic site parameters. Considering the significant differences in properties along the depth direction of thick loess cover, the loess cover layer is divided into n calculation layers along the depth direction, with the thickness of the i-th layer being h_i, and the total thickness of the loess cover being H, satisfying the following: Where H is the total thickness of the loess cover; n is the number of calculated layers; and i is the layer index, i=1,2,...,n; Let be the thickness of the i-th layer of loess.

[0026] After completing the basic parameter acquisition, the system obtains dynamic characteristic parameters before and after seismic treatment. For consistency, parameters before seismic treatment are denoted by subscript (0), and parameters after seismic treatment are denoted by subscript (1). For the i-th layer of loess, the shear wave velocity is obtained by at least one of the following methods: in-situ shear wave velocity test, field dynamic test, or indoor dynamic test. And calculate the small strain shear modulus: in, Let be the small strain shear modulus of the i-th loess layer in state j; For the i-th layer of loess in state The mass density below; Let be the shear wave velocity of the i-th loess layer in state j; superscript Indicates the status flag. =0 corresponds to before seismic treatment. =1 corresponds to the seismic treatment; the symbol “∈” indicates belonging to; the set {0,1} represents the set of state values.

[0027] Considering that loess experiences different shear strain levels under seismic loading, and its dynamic properties degrade with increasing strain, the system further obtains equivalent dynamic parameters under different shear strain levels. Let the set of shear strain values ​​be... Through dynamic testing or equivalent conversion, the results in various... Equivalent shear modulus under With damping ratio And calculate the shear modulus ratio: in, Let the i-th layer of loess be in state j with shear strain as... The ratio of shear modulus at that time; Let be the equivalent shear modulus of the i-th loess layer in state j with shear strain k. Let be the small strain shear modulus of the i-th loess layer in state j; This represents the k-th shear strain level; the subscript k is the strain point index, k=1,2,...,m; m is the number of shear strain values; the symbol " " represents a set consisting of m discrete shear strain values; Let the i-th layer of loess be in state j with shear strain as... Damping ratio at time.

[0028] In the analysis of loess dynamic degradation characteristics, to quantitatively characterize the overall trend of modulus degradation with strain, the system takes logarithmic coordinates for shear strain and constructs fitting variables: in, For the first Logarithmic transformation values ​​at each shear strain point; It is the natural logarithm function. For the first Individual shear strain levels; The modulus ratio observations used for fitting; For the first Loess in state Shear strain is The ratio of shear modulus at time; subscript For strain point index; subscript Layer number index; superscript This is a status identifier.

[0029] The system uses least squares fitting to obtain the first... Loess in state The slope of the degenerate shear modulus: in, For the first Loess in state The modulus degradation slope below; symbol " "Indicates to to Summation; For the first Logarithmic transformation values ​​of each shear strain point; for The average value; For the first The observed modulus ratio corresponding to each shear strain point; for The average value; superscript Status identifier; subscript This indicates that the slope corresponds to a degenerate shear modulus; subscript Indicates the floor number; subscript Indicates the strain point index; The number of strain points; "" indicates the square of the difference. The average value can be calculated using the following formula: in, for The arithmetic mean; for The arithmetic mean; The number of data points; symbol " "Indicates the coefficient for averaging;" "Indicates all" Summation; and The first The independent and dependent variables of each data point.

[0030] Based on the change in the slope of modulus degradation before and after seismic treatment, the system defines the first... Layer modulus degradation improvement index in, For the first Modulus degradation improvement index of loess; symbol " This represents the absolute value operation; For the first After treatment of loess layers (state) The modulus degradation slope of ); For the first Before treatment of loess layers (state) The modulus degradation slope; the constant "1" is the normalization reference value; subscript Indicates indicators related to "improvement of degradation slope"; subscript Indicates the floor number.

[0031] In damping evolution analysis, the system characterizes the impact of seismic treatment on energy dissipation capacity by the difference in the amplitude of damping ratio variation with shear strain, defining the first... Indicators for improvement in layer damping evolution amplitude: in, For the first Indicator for improvement in layer damping evolution amplitude; symbol " This represents the concept of the magnitude of damping change; For the first After treatment of loess layers, shear strain Damping ratio below; For the first Before treatment of loess layers, shear strain Damping ratio below; symbol " Indicates all Maximum value operation; symbol " "Indicates all" Minimum value operation; For the first Individual shear strain level; subscript For strain point index; subscript The index is the layer number; the superscripts (1) and (0) represent the state before and after processing, respectively.

[0032] To obtain the site-scale dynamic degradation improvement index, the system performs a weighted aggregation of the index layer by layer according to thickness weight: in, It serves as an indicator for improving the modulus degradation at the site scale; The indicator for the improvement in damping evolution amplitude at the site scale; symbol " "Indicates to to Summation; For the first The weighting factor of layer thickness in the total thickness; For the first Layer thickness; Total thickness of loess cover and The first The corresponding improvement indicators for each layer; This represents the total number of layers.

[0033] During the seismic response simulation phase, the system uses the same seismic motion input conditions to ensure fairness in the comparison before and after processing. Let the input seismic motion acceleration time history be... ,in The time variable is used. The surface acceleration response is obtained through equivalent linear or nonlinear time history analysis. And extract the peak ground acceleration: in, For state Peak ground acceleration; symbol " Indicates time over the entire time span. Take the maximum value; Represents absolute value; For state The time history of the change in ground surface acceleration over time; For time variables; superscript This indicates the status indicator. At the same time, the system extracts the peak shear strain of each layer from the seismic response calculation results. And take the peak value of the maximum shear strain of the site: in, For state Peak value of maximum shear strain at the site; the symbol "max" indicates for all floor numbers. Take the maximum value; For the first Layer in state The peak shear strain; the subscript "pk" indicates the peak value. For layer number index; This is a status identifier.

[0034] Furthermore, to characterize the amplification effect of the site on the input ground motion, the system calculates the input peak ground acceleration: in, The peak ground acceleration is the input ground motion. Indicates time Take the maximum value; Represents absolute value; Input the time history of ground motion acceleration; It is a time variable.

[0035] Based on this, the site magnification factor is defined as follows: in, For state The field magnification factor is as follows; For state Peak ground acceleration; Input peak ground acceleration; superscript Indicates the status flag.

[0036] Based on the seismic response results before and after processing, the system constructs seismic response improvement indices: , , in, As an indicator for improving peak ground acceleration; This represents the peak ground acceleration after processing. To process the peak ground acceleration before the surface; The maximum shear strain improvement index; This represents the peak value of the maximum shear strain at the treated site. To address the peak value of the maximum shear strain at the site before treatment; To improve the index by amplification factor; This is the magnification factor after processing; The amplification factor before processing; the constant "1" is the normalization reference value; the symbol " " indicates ratio operation.

[0037] To enable different indicators to be synthesized on the same scale, the system performs a certain number of improvements on any one indicator. Perform truncation and normalization: in, These are the normalized index values; This indicates the minimum value operation; This indicates the maximum value operation; the constant "1" represents the upper limit truncation threshold; 0 represents the lower limit truncation threshold; This represents the original improvement index to be normalized. From this, we obtain... , , , , , respectively corresponding , , , , The normalization result; among which, This is the normalized value of the modulus degradation improvement index. This is the normalized value of the damping evolution improvement index. This is the normalized value of the peak acceleration improvement index. This is the normalized value of the maximum shear strain improvement index. The normalized value of the index is improved by the amplification factor.

[0038] In the seismic treatment effectiveness quantification stage, the system integrates the dynamic degradation improvement index and the seismic response improvement index to construct a comprehensive seismic treatment effectiveness index: in, The comprehensive effectiveness index of seismic treatment; Weighting coefficients for modulus degradation improvement indicators; The weighting coefficients of the damping evolution improvement index; Improve the weighting coefficient of the peak acceleration indicator; The weighting coefficient for the maximum shear strain improvement index; To improve the weighting coefficient of the indicator; The normalized modulus degradation improvement index; The normalized damping evolution improvement index; The normalized peak acceleration improvement index; The normalized maximum shear strain improvement index; The normalized amplification factor improves the index. The weighting coefficients satisfy the following constraints: in, This indicates that the sum of all weights is 1; the symbol "≥0" indicates that the weights are non-negative real numbers.

[0039] To achieve performance grading, the system presets a set of performance level thresholds. and satisfy Based on the comprehensive efficiency index Output performance level: in, Comprehensive efficiency index The corresponding level determination result; It is a comprehensive performance index; The threshold is the level threshold; the symbol "<" means less than; the symbol "≤" means less than or equal to; the symbol "≥" means greater than or equal to; the constants "0" and "1" represent the limits of the threshold value range.

[0040] Simultaneously, preset thresholds for seismic improvement requirements are set. and with As a criterion for compliance, it is used to determine whether the seismic treatment meets the pre-set requirements of the project; among which... To preset the threshold for seismic improvement requirements, The comprehensive performance index is indicated by "≥", which means greater than or equal to.

[0041] When it is necessary to determine the changing trend of the applicability of seismic treatment measures under different loess cover thicknesses, the system evaluates different objects. Calculate the thickness of loess cover in different sites, different zones, or different profiles of the same site. With comprehensive efficiency index To form a sample set And calculate the trend index of performance as a function of thickness: in, This is a trend indicator of performance variation with thickness; symbol "". "Indicates to to Summation; The number of samples; For the first The loess cover thickness corresponding to each sample; For the first The comprehensive performance index corresponding to each sample; For all The average value; For all The average value; This represents the square of the thickness deviation. The average value can be calculated using the following formula: in, The arithmetic mean of the sample thickness; This is the arithmetic mean of the sample efficiency index; The number of samples; For the first Loess cover thickness of each sample; For the first The overall effectiveness index of the sample; This represents summing over all samples; To obtain the average coefficient.

[0042] Ultimately, the system will output the results of the dynamic parameter evolution (including...) , , , , Earthquake response analysis results (including...) , , , (etc.), comprehensive efficiency index and its level determination Output the results in numerical, graded, or graphical formats. The results can be compared with existing seismic treatment schemes or evaluated for their effectiveness, or used to verify the seismic performance of existing projects.

[0043] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system for evaluating the seismic performance of thick-covered loess sites, characterized in that, The system includes: The site basic parameter acquisition module is used to acquire information on the layered structure of thick loess sites, loess cover thickness, physical and mechanical parameters, and groundwater conditions. The dynamic characteristic parameter acquisition module is used to acquire the shear wave velocity, equivalent shear modulus, damping ratio and natural frequency dynamic characteristic parameters of the loess site under different strain levels before and after seismic treatment. The Loess Dynamic Degradation Characteristic Analysis Module is used to analyze the degradation law of loess shear modulus and damping ratio with shear strain based on the dynamic characteristic parameters, so as to characterize the impact of seismic treatment on the structural damage and dynamic softening characteristics of loess. The seismic response simulation module is used to analyze the seismic dynamic response of a loess site before and after seismic treatment under the same seismic input conditions, and to obtain acceleration response, shear strain response and site amplification effect parameters. The seismic treatment effectiveness quantification module is used to quantitatively calculate the degree of improvement in the seismic performance of the loess site before and after seismic treatment based on the results of changes in dynamic degradation characteristics and seismic response, and to obtain the seismic treatment effectiveness evaluation results. The evaluation result output module is used to output the evaluation results of seismic treatment effectiveness.

2. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The dynamic characteristic parameter acquisition module obtains dynamic parameter variation data of loess at different shear strain levels through at least one of in-situ shear wave velocity testing, field dynamic testing, or indoor dynamic testing.

3. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The loess dynamic degradation characteristic analysis module is used to calculate the difference in degradation slope of loess shear modulus with increasing shear strain before and after seismic treatment, so as to characterize the degree of improvement of the loess's structural integrity retention capacity by seismic treatment.

4. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The loess dynamic degradation characteristic analysis module is also used to analyze the difference in the evolution amplitude of loess damping ratio with shear strain before and after seismic treatment, so as to characterize the enhancement effect of seismic treatment on the seismic energy dissipation capacity of loess.

5. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The earthquake response simulation module uses the same ground motion record or equivalent ground motion input conditions to conduct a comparative analysis of the earthquake response of the loess site before and after seismic treatment, so as to eliminate the influence of differences in earthquake input on the evaluation results.

6. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The seismic treatment effectiveness quantification module constructs seismic treatment effectiveness evaluation results based on at least two of the following categories of indicators: Indicators for improving the dynamic degradation characteristics of loess include the decrease in the slope of shear modulus degradation and the change in the magnitude of damping ratio evolution; Seismic response improvement indicators include the magnitude of the decrease in peak ground acceleration, the magnitude of the decrease in peak shear strain, and the magnitude of the change in the site amplification factor.

7. The seismic performance evaluation system for thick-covered loess sites according to claim 6, characterized in that: The seismic treatment effectiveness quantification module classifies and determines the seismic treatment effectiveness based on the dynamic degradation characteristic improvement index and the seismic response improvement index, so as to determine whether the seismic treatment measures meet the preset seismic improvement requirements.

8. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The seismic treatment effectiveness quantification module is used to compare and analyze the seismic treatment effectiveness evaluation results under different loess cover thicknesses, so as to determine the changing trend of the applicability of seismic treatment measures in thick loess cover sites.

9. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The evaluation result output module is used to output the seismic treatment effectiveness evaluation results in the form of effectiveness level, numerical score or graphical method.

10. The seismic performance evaluation system for thick-covered loess sites according to claim 1, characterized in that: The system is configured for comparative analysis of seismic treatment schemes or evaluation of construction effects for thick-covered loess sites.

Images