To further develop structural reliability analysis methods for high-pile wharf and shore slope systems,this paper,based on the KL-Copula cross-correlated random field simulation method,comprehensively considers the influence of spatial variability of slope soil parameters,its related structures,and dimensions.It proposes a numerical implementation procedure for shore slope-high-pile wharf systems cross-correlated random field simulation and reliability solution,formulating the high-pile wharf-shore slope system cross-correlation random field simulation and reliability analysis plug-in solver KLCPRP based on the PLAXIS computing program platform.Building on this,non-intrusive stochastic analysis methods are further employed for related example analysis to explore the impact of different slope strength parameter Copula function structures on cross-correlated random field simulation and high-pile wharf structural reliability solutions.Computational analysis indicates:there exist certain differences in the linear correlation coefficients and rank correlation coefficients of simulation samples corresponded to different Copula function structures;for limited experimental data scenarios,the Gaussian Copula function structure tends to yield conservative random field computation results.The KL-Copula cross-correlated random field numerical implementation procedure and the corresponding plug-in solver KLCPRP presented in this paper possess favorable accuracy and effectiveness,offering a theoretical reference for the related engineering design and safety evaluation of high-pile wharf and shore slope interaction systems.
关键词
高桩码头-岸坡体系/空间变异性/KL-Copula理论/互相关随机场/可靠性分析
Key words
high-pile wharf and shore slope system/spatial variability/KL-Copula theory/cross-correlated random field/reliability analysis
维普
万方数据