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Failure parameter inversion of the Baige landslides based on seismic signal analysis

ENVIRONMENTAL EARTH SCIENCES 2025年第9期84卷 1-22页

作者： Fan, Gang Lin, Ziyu Zhou, Jiawen Sichuan Univ Coll Water Resource & Hydropower Chengdu 610065 Peoples R China Sichuan Univ State Key Lab Hydraul & Mt River Engn Chengdu 610065 Peoples R China

Southwest China is prone to landslide disasters due to the complex geographical condition. The failure parameters of two Baige landslides in 2018 were inversed based on seismic signals recorded at adjacent seismograph stations. The global crustal one-dimensional average velocity model provided by Crust 1.0 was adopted to calculate Green's function. Then, the force-time functions of the two Baige landslides were inversed. Based on the landslide motion model, the kinetic motion parameters of the two Baige landslides were calculated, and the disaster processes of the two Baige landslides were ultimately revealed in this study. The results showed that the duration of the first Baige landslide was approximately 130 s, including three stages, i.e., the collapse and slide stage of the main sliding mass (last 44 s), the crushing and disintegration stage (last 47 s), and the scattering and accumulation stage (last 39 s). The duration of the second Baige landslide was approximately 130 s, including the collapse and slide stage (last 32 s), the crushing and disintegration stage (last 46 s) and the scattering and accumulation stage (last 58 s). The maximum force is 1.65 x 10(11) N in for the first Baige landslide and 1.69 x 10(11) N for the second Baige landslide, respectively. The maximum velocity of the centroid reached 65.3 m/s at t = 44 s for the first Baige landslide, while the maximum velocity of the centroid reached 64.9 m/s at t = 32 s for the second Baige landslide, which are larger than the existing simulation results. The calculated displacement matches the actual terrain based on the historical satellite images after the two Baige landslides. The trajectory angles of the centroids of the two landslides ranged from 4 degrees similar to 34 degrees and 1 degrees similar to 51 degrees, respectively, and the sliding friction coefficient ranged from 0.03 similar to 0.95 and 0.05 similar to 1.24, respectively. This study provides an indirect method for measuring landslide

关键词： Baige landslide Force-time function Green's function Kinetic motion parameters parameter inversion

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Application of machine learning and optimization-based mesoscopic parameter inversion in numerical models of cement-stabilized macadam

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INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING 2025年第1期26卷

作者： Ling, Chenxin Chen, Chen Yu, Xin Wang, Min Huang, Yujie Hohai Univ Coll Civil & Transportat Nanjing Peoples R China Hohai Univ Coll Water Conservancy & Hydropower Engn Nanjing Peoples R China Changsha Univ Sci & Technol Sch Traff & Transportat Engn Changsha Peoples R China

Cement-stabilised macadam (CSM) is widely used in road engineering due to its high strength and durability. Constructing accurate numerical models is crucial for analysing failure mechanisms and improving the performance and service life of CSM. However, the accuracy of these models largely depends on the precision of mesoscopic parameter inversion. Existing inversion methods mainly rely on formula-based derivations and manual trial-and-error approaches, which are time-consuming and often limited in accuracy, typically below 70%. To address these limitations, this study employs machine learning to enhance both the efficiency and precision of inversion. A semi-circular bending model of CSM was established using the discrete element method (DEM) to generate a dataset of macroscopic and mesoscopic parameters. Six machine learning models were evaluated, with the backpropagation neural network (BPNN) yielding the best performance. BPNN was further integrated with a particle swarm optimisation (PSO) algorithm to perform mesoscopic parameter inversion. Validation against laboratory tests showed that the PSO-integrated BPNN method reduced simulation errors to less than 5%, significantly improving inversion accuracy. Additionally, SHAP analysis identified the key factors influencing macroscopic mechanical properties. This study proposes an efficient mesoscopic parameter inversion method, providing valuable insights for optimising CSM materials in engineering applications.

关键词： parameter inversion machine learning cement-stabilised macadam mesoscopic parameters discrete element method optimization

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parameter inversion and deformation mechanism of Sanmendong landslide in the Three Gorges Reservoir region under the combined effect of reservoir water level fluctuation and rainfall

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ENGINEERING GEOLOGY 2016年 205卷 133-145页

作者： Sun, Guanhua Zheng, Hong Huang, Yaoying Li, Chunguang Chinese Acad Sci Inst Rock & Soil Mech State Key Lab Geomech & Geotech Engn Wuhan 430071 Hubei Peoples R China China Three Gorges Univ Coll Hydraul & Environm Engn Yichang 443002 Hubei Peoples R China

Previous studies suggested that the Qianjiangping landslide was caused by the combined effect of rainfall and reservoir water after the first water storage of the Three Gorges Reservoir. The Sanmendong landslide with a length of 830 m, an area of 2.49 x 10(5) m(2), an average thickness of 22 m and a volume of 5.48 x 10(5) m(3), which is located by the Qinggan river, a tributary of the Yangtze River, is only 4 km away from another famous landslide along the same river: the Qianjiangping landslide. Based on the experimental data of mechanical parameters of the landslide and displacement monitoring, a nonlinear mapping relationship between mechanical parameters of the failure mass and the displacement of landslide were established by using genetic algorithms by means of uniform design, numerical calculation and artificial neural networks. The mechanical parameters of the failure mass are obtained by the global minimization of the deviation between the calculated displacements and the monitored displacements. On this basis, the deformation mechanism of the Sanmendong landslide under the combined effect of rainfall and reservoir water level fluctuations was analyzed in detail. The results indicated that the increase of displacement of Sanmendong landslide can be primarily attributed to the combined result of reservoir water level fluctuation and rainfall. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Landslide parameter inversion Deformation mechanism The Three Gorges Reservoir region

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parameter inversion of probability integral method based on improved crow search algorithm

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ARABIAN JOURNAL OF GEOSCIENCES 2022年第2期15卷 1-15页

作者： Guo, Qingbiao Chen, Hongkai Luo, Jin Wang, Xiaobing Wang, Liang Lv, Xin Wang, Lei Anhui Univ Sci & Technol Sch Spatial Informat & Geomat Engn Huainan 232001 Peoples R China Anhui Univ Sci & Technol State Key Lab Min Response & Disaster Prevent & C Huainan 232001 Peoples R China State Key Lab Safety & Hlth Met Mines Maanshan 243000 Peoples R China

Coal mining can cause surface movement and deformation, which can lead to serious geological disasters. The prediction of mining subsidence is not only the basis of evaluation of mining to damage, but also the prerequisites for disaster prevention and reduction. In China, the most widely used subsidence prediction method is the probability integration method. Whether the prediction parameters can be obtained accurately or not is the key to the application of probability integration method in subsidence prediction. In this paper, a probability integral parameter inversion model based on improved crow search algorithm (ICSA) is constructed. The research results show that the probability integral parameters obtained based on the ICSA inversion model have high accuracy, and the relative error of the parameters is less than 1.9%. The inversion model based on ICSA has the ability to resist gross error, Gaussian noise, and missing points. In addition, this paper creatively analyzes the sensitivity of probability integral parameters and the influence of prior data on the model and provides constructive suggestions for its application in engineering practice. The probability integral parameters of 1414 (1) working face in Guqiao Mine, Huainan, China, are inversed by using the probability integral parameter inversion model based on ICAS.

关键词： Mining subsidence Prediction model parameter inversion Improve crow search algorithm

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parameter inversion of Tritium Migration Based on Parallel Genetic Algorithm

Parameter Inversion of Tritium Migration Based on Parallel G...

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2nd International Conference on Energy, Environment and Sustainable Development (EESD 2012)

作者： Cao, Yuan Wang, Wenke Wang, Tieliang Wang, Yingjie Changan Univ Xian 710054 Peoples R China Northwest Inst Nuclear Tech Xian 710024 Peoples R China Xian Commun Inst Xian 710106 Peoples R China

ISBN: (纸本)9783037855508

To calibrate model parameters of tritium migration in a test site of China, an intelligent parameter inversion model based on parallel genetic algorithm is built, a forward and inverse coupling program of radionuclide migration is designed, and the values of key parameters like hydraulic conductivity, dispersity and porosity are inverted automatically on a mainframe computer, by means of abundant observation data of tritium concentration. The inversion results accord with observation data well on the whole. Compared to manual adjustment method, this method has better overall convergence, higher calculated precision and efficiency, and less manpower cost. The results show that parallel genetic algorithm is feasible and valid in application to parameter inversion of tritium migration.

关键词： genetic algorithm parallel parameter inversion radionuclide migration tritium

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parameter inversion of Thin-walled Structure Using Numerical Optimization Approach

Parameter Inversion of Thin-walled Structure Using Numerical...

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International Conference on Advanced Design and Manufacturing Engineering (ADME 2011)

作者： Meng, Zhuo Sun, Qin Jiang, Jinfeng Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China Commercial Aircraft Corp China Ltd Shanghai aircraft Design & Res Inst Shanghai Peoples R China

ISBN: (纸本)9783037852132

Based on the theory of structure impact dynamic and numerical optimization, application of SQP algorithm in nonlinear parameter inversion is demonstrated in this paper by combining the optimization software and finite element software. parameter inversion of thin-walled cylinder subjected to axial impact load is studied. The material parameters of thin-walled cylinder are obtained from inversion;besides, the whole process of numerical optimization parameter inversed method is demonstrated.

关键词： Thin-walled structure parameter inversion numerical optimization approach SQP algorithm

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parameter inversion Based on LevenbergMarquardt Algorithm for Layered Formation Using Electromagnetic Wave Resistivity Tool

Parameter Inversion Based on LevenbergMarquardt Algorithm fo...

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IEEE International Conference on Imaging Systems and Techniques (IST)

作者： Zhang, Rui Xu, Lijun Sun, Shijie Sun, Jiangtao Xie, Yuedong Suo, Peng Ni, Weining Li, Xin Beihang Univ Sch Instrument & Optoelect Engn Beijing Peoples R China Sinopec Res Inst Petr Engn Beijing Peoples R China

ISBN: (纸本)9781728173719

Electromagnetic wave resistivity tool in logging-while-drilling (LWD) technology can provide real-time conductivity information of the surrounding formation and plays a crucial role in geo- steering, drilling optimization and reservoir evaluation. In this paper, a parameter inversion method based on Levenberg-Marquardt (LM) algorithm is proposed to estimate the conductivity and thickness of the layered-formation model. The finite element method (FEM) was used to solve the forward problem, i.e., to obtain the response of the electromagnetic wave resistivity (EWR) tool and Jacobian matrix. The solution of the forward problem solved by the FEM was compared with the theoretical solution. The influence of the conductivity and thickness on the response of the LWD tool was analyzed. Finally, numerical experiments were carried out to evaluate the accuracy of the proposed method.

关键词： Electromagnetic wave resistivity tool Logging while drilling Finite element method Levenberg-Marquardt method parameter inversion

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parameter inversion of Field Pumping Test in Aquifer with Enclosed Impermeable Boundary

Parameter Inversion of Field Pumping Test in Aquifer with En...

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Global Conference on Civil, Structural and Environmental Engineering / 3rd International Symp on Multi-field Coupling Theory of Rock and Soil Media and its Applications

作者： Yuan, Hua Hong, Yan Henan Univ Sch Civil Engn & Architecture Kaifeng 475004 Henan Peoples R China

ISBN: (纸本)9783037855386

Theis formula derived under the circumstance of unsteady flow pumping in infinite aquifer without impermeable boundary is the representation of analytic method solving unsteady well flow problem, which can not be applied to the case of impermeable boundary just limited by its premise condition: "infinite permeable border". In this paper, the well flow model of pumping in aquifer with unsealed impermeable boundary is researched based on mapping theory and superposition principle. And then this model is applied to a typical field pumping test in Pudong working shaft deep foundation of South Xizang road river-crossing tunnel. The results show that the slope of draw down and pumping duration time curve will increase while the surrounding impermeable boundary comes into play.

关键词： parameter inversion Mirror principle Image well Real well Impermeable boundary Well point

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Research on the parameter inversion problem of prestack seismic data based on improved differential evolution algorithm

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2017年第4期20卷 2881-2890页

作者： Wu, Qinghua Zhu, Zhixin Yan, Xuesong WuHan Inst Technol Fac Comp Sci & Engn Wuhan 430205 Hubei Peoples R China China Univ Geosci Sch Comp Sci Wuhan 430074 Hubei Peoples R China

The parameter inversion technology composed by intelligent algorithm and AVO inversion for prestack seismic data provides a comparatively effective identification method for oil-gas exploration. However, traditionally intelligent iterative algorithm, such as, genetic algorithm, shows many disadvantages in solving this problem, including highly depending on initial model, fast convergence in algorithm and being easy to fall into local optimal. Therefore, an unsatisfied inversion performance is produced. In order to solve the above problems, this paper proposes a parameter inversion method based on improved differential evolution algorithm which is better in solving parameter inversion problems of prestack seismic data. In the proposed algorithm, aims at the Aki and Rechard approximation formula used specific initialization strategy, then the initialization parameter curve more smooth. Otherwise, the new algorithm has many advantages, such as, fast computing speed, simple operation, a low independence to initial model and good global convergence, this algorithm is the right choice in solving the parameter inversion problem based on pre-stack seismic data of real number encoding.

关键词： Differential evolution algorithm Prestack seismic data parameter inversion initialization strategy

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Terrain effect analysis and compensation method for polarimetric synthetic aperture radar interferometry height parameter inversion

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IET RADAR SONAR AND NAVIGATION 2022年第12期16卷 1924-1935页

作者： Suo Zhiyong Wang Tingting Xue Chao Zhang Tao Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China Sichuan Aerosp Elect Equipment Res Inst Chengdu Peoples R China State Key Lab Space Ground Integrated Informat Te Beijing Peoples R China

In this paper, the terrain effect on parameter inversion performance of polarimetric synthetic aperture radar (PolSAR) and polarimetric SAR interferometry (PolInSAR) are analysed first. Based on the analysis of the terrain effect on single pixel processing, the terrain effect between adjacent pixels is addressed for both PolSAR and PolInSAR image pairs. Through the analysis, the terrain effect should be considered not only for the single pixel data calibration but also for the adjacent pixels of PolSAR and PolInSAR parameter inversion processing. Therefore, combining with the geometric model correction of sloped-random volume over ground, the terrain-compensated procedure is proposed for PolInSAR parameter inversion. The parameter inversion performance is improved effectively with terrain effect consideration. The effectiveness of the proposed method is investigated by the PolSARPro simulated dataset and the real Phased Array L-Band Synthetic aperture Radar (PALSAR) dataset.

关键词： parameter inversion polarimetric interferometric SAR (PolInSAR) sloped-random volume over ground (S-RVoG) synthetic aperture radar (SAR) terrain compensation

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