基于Copula函数的土石坝三维坝坡稳定可靠度分析

TV641; 不完备概率信息条件下边坡稳定可靠度评价是岩土工程新兴的热点问题之一,其关键难点在于如何在不完备概率信息条件下有效地建立符合抗剪强度参数分布特征的联合概率分布模型.在考虑堆石料非线性强度参数不完备概率信息条件下,采用Copula函数建立非线性强度参数联合分布模型,结合径向基神经网络(RBFN)提出了土石坝坝坡稳定系统可靠度分析智能响应面法,并通过实例验证了其可行性与有效性.最后,基于所建的智能响应面,系统研究了Copula函数类型与样本数量对土石坝坝坡稳定系统可靠度的影响规律....

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Published in大连理工大学学报 Vol. 61; no. 1; pp. 92 - 103
Main Authors 宋来福, 孔宪京, 徐斌, 庞锐
Format Journal Article
LanguageChinese
Published 大连理工大学水利工程学院,辽宁大连 116024 2021
Subjects
Online AccessGet full text
ISSN1000-8608
DOI10.7511/dllgxb202101013

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Abstract TV641; 不完备概率信息条件下边坡稳定可靠度评价是岩土工程新兴的热点问题之一,其关键难点在于如何在不完备概率信息条件下有效地建立符合抗剪强度参数分布特征的联合概率分布模型.在考虑堆石料非线性强度参数不完备概率信息条件下,采用Copula函数建立非线性强度参数联合分布模型,结合径向基神经网络(RBFN)提出了土石坝坝坡稳定系统可靠度分析智能响应面法,并通过实例验证了其可行性与有效性.最后,基于所建的智能响应面,系统研究了Copula函数类型与样本数量对土石坝坝坡稳定系统可靠度的影响规律.
AbstractList TV641; 不完备概率信息条件下边坡稳定可靠度评价是岩土工程新兴的热点问题之一,其关键难点在于如何在不完备概率信息条件下有效地建立符合抗剪强度参数分布特征的联合概率分布模型.在考虑堆石料非线性强度参数不完备概率信息条件下,采用Copula函数建立非线性强度参数联合分布模型,结合径向基神经网络(RBFN)提出了土石坝坝坡稳定系统可靠度分析智能响应面法,并通过实例验证了其可行性与有效性.最后,基于所建的智能响应面,系统研究了Copula函数类型与样本数量对土石坝坝坡稳定系统可靠度的影响规律.
Author 宋来福
孔宪京
庞锐
徐斌
AuthorAffiliation 大连理工大学水利工程学院,辽宁大连 116024
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SONG Laifu
XU Bin
PANG Rui
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DocumentTitle_FL Reliability analysis of 3D rockfill dam slope stability based on Copula function
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Keywords 可靠度
联合概率分布
Copula
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Snippet TV641; 不完备概率信息条件下边坡稳定可靠度评价是岩土工程新兴的热点问题之一,其关键难点在于如何在不完备概率信息条件下有效地建立符合抗剪强度参数分布特征的联合概率...
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Title 基于Copula函数的土石坝三维坝坡稳定可靠度分析
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