.png){kind=icon}
返回
Seismic collaborative reliability evaluation of slopes using subset simulation via support vector machine
.png){kind=icon}
PRE
AI
DOI：10.1016/j.soildyn.2022.107673.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The computational effort places a limit on the low failure probability estimate of geotechnical engineering exposed to seismic stimulation. In this research, a novel method is proposed for the seismic reliability assessment of complicated geotechnical engineering slope structures with low failure probability. First, an improved subset simulation (SS) approach is provided for the low-failure events with high-dimensional indirect cross-correlation parameters. This method expands the usefulness of SS by using the support vector machine (SVM) method. Then, in order to reduce computing effort, the seismic collaborative reliability evaluation (SCRE) framework for seismic reliability assessment based on SS and the response conditioning method (RCM) is constructed. Finally, the accuracy of SCRE is verified by comparison with the standard Monte Carlo simulation based on 2D slope. The results show that SCRE's computational effort is approximately 2% that of Monte Carlo simulation. Meanwhile, SVM does a good job of preserving the significant indirect cross-correlation that occurs in the subspace samples that were split by SS. The time-saving benefit of SCRE is further enhanced when the aforementioned situations are expanded to 3D, and the findings demonstrate that the failure probability and sliding surface of the slope are different in 2D and 3D.
Keyword:
Slope stability
Seismic collaborative reliability evaluation
Support vector machine
Subset simulation
Response conditioning method
期刊
IF:
4.6
论文数:
7.7K
被引数:
2.5W
机构
引用论文
分享收藏A unified model for predicting earthquake-induced sliding displacements of rigid and flexible slopes预测地震引起的刚性和柔性边坡滑动位移的统一模型.png)
ENGINEERING GEOLOGY
ENGINEERING GEOLOGYIF8.4
PREAI
分享收藏
Stability analysis of multi-directional anchored rock slope subjected to surcharge and seismic loads
PREAI
分享收藏Influence of spatial variability of soil strength parameters on probabilistic seismic slope displacement hazard analysisENGINEERING GEOLOGY
ENGINEERING GEOLOGYIF8.4
PREAI
分享收藏Practical reliability analysis of slope stability by advanced Monte Carlo simulations in a spreadsheet通过电子表格中的高级蒙特卡洛模拟对边坡稳定性进行实用可靠性分析
PREAI
分享收藏
查看更多内容