| 摘要: |
| 为更进一步发展岸坡-高桩码头体系结构可靠性分析方法,基于KL-Copula互相关随机场模拟方法,并综合考虑岸坡参数空间变异性和表征参数相关结构及大小的影响,本文提出了一种岸坡-高桩码头体系互相关随机场模拟与可靠性求解数值实施流程,并基于PLAXIS计算程序平台,编写了高桩码头-岸坡体系互相关随机场模拟与可靠性分析外挂求解程序KCLPRP。在此基础上,进一步结合非侵入式随机分析方法进行了相关算例分析,探讨了不同岸坡强度参数Copula函数结构对互相关随机场模拟和高桩码头结构可靠性求解的影响规律。计算分析结果表明：不同Copula函数结构所对应模拟样本的线性相关系数、秩相关系数均存在一定差异性；对于有限实验数据情况,Gaussian Copula函数结构会导致随机场计算结果偏于保守；本文所提出的KL-Copula模拟随机场数值实施流程及对应外挂求解程序KLCPRP具有良好的精度和有效性,可为高桩码头-岸坡相互作用体系的相关工程设计及安全性评价提供理论参考作用。 |
| 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 |
| DOI： |
| 分类号:TU447 |
| 基金项目:国家重点研发计划项目（2021YFB2601102）；国家自然科学基金面上项目（52178315）； 大连市科技创新基金项目（2022JJ12GX031）；沈阳市工程结构安全评估与防控重点实验室项 目（S230184） |
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| Reliability Analysis of Piled Wharf and Bank Slope Considering Spatial Variability of Soil Parameters |
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CHEN Mingqiang1, CUI Chunyi1, XIONG Qi1, ZHAO Min2, YOU Zaijin3, JI Zezhou4
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1.College of Transportation Engineering,Dalian Maritime University;2.CCCC Third Harbor Consultants Co,Ltd;3.Collaborative Innovation Center for Port and Shipping Safety,Dalian Maritime University;4.CCCC First Harbor Consultants Co,Ltd
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| Abstract: |
| To further improve the reliability analysis method for the interaction system of bank slope and piled wharf, a numerical implementation procedure is proposed for both cross-correlation random field simulation and reliability analysis, using the KL-Copula cross-correlation random field simulation method,which considers the spatial variability of soil parameters as well as both the correlation structure and correlation amplitude of the characterization parameters. In addition, a corresponding solving program KCLPRP to the proposed numerical implementation procedure is also coded via the PLAXIS-API. On this basis, typical computational examples regarding to the interaction system of piled wharf and bank slope are conducted to investigate the influence of different Copula functions which characterize the strength parameters of bank slope,on the solution for cross-correlation random field simulation and reliability analyses, by combining with the non-intrusive random analysis methods. The computational results show that: there exist differences in the linear and rank correlation coefficients of the simulated samples corresponding to different Copula function; With limited experimental data, Gaussian Copula function which is often adopted, may lead to conservative computational results; The proposed numerical implementation procedure and relevant solving program KCLPRP are of good accuracy and validity, which can provide valuable theoretical references for engineering design and safety evaluations of the interaction system of bank slope and piled wharf. |
| Key words: Bank slope and piled wharf spatial variability KL-Copula theory cross-correlation random field reliability analysis |
