Reliability Analysis of Piled Wharf and Bank Slope Based on Copula Theory
The stability of bank slopes in a piled wharf is critical for the overall safety of the wharf structure.In order to further investigate the influence of the correlation and spatial variability of soil strength parameters on the reliability of piled wharf bank slopes,this paper employed Copula theory to analyze the joint probability distribution characteristics of bank slope soil parameters.Utilizing the PL AXIS computational platform,a numerical model of piled wharf-slope system was established.Ad-ditionally,an auxiliary subroutine named SAPW was developed via Python API interface to facilitate automatic data exchange and solution computation.This integrated,end-to-end reliability analysis framework encompassed pre-processing of parameters,calculation of sample conditions and reliability solving for the high-pile wharf-slope system.Furthermore,Monte Carlo simulation methods were used to conduct related numerical computations and parameterized analyses,investigating the impact of cohesion,internal friction angle variability,and their correlation coefficients on the reliability of piled wharf bank slopes.The results show that neglecting the correlation and spatial variability of soil parameters in the design and analysis of piled wharfs can overestimate the probability of bank slope fail-ure.This,in turn,leads to a conservative bias in related reliability analyses.Therefore,it is advisable to employ various Copula functions for comprehensive consideration in the reliability analysis of piled wharf bank slopes.