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Uncertainty Quantification and Risk ...

Wang, Hexiang.

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Uncertainty Quantification and Risk Analysis of Earthquake Soil Structure Interacting System.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty Quantification and Risk Analysis of Earthquake Soil Structure Interacting System./
作者:	Wang, Hexiang.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	241 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Contained By:	Dissertations Abstracts International82-12B.
標題:	Civil engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28319025
ISBN:	9798515257231

Uncertainty Quantification and Risk Analysis of Earthquake Soil Structure Interacting System.
Wang, Hexiang.

Uncertainty Quantification and Risk Analysis of Earthquake Soil Structure Interacting System. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 241 p.

Source: Dissertations Abstracts International, Volume: 82-12, Section: B.

Thesis (Ph.D.)--University of California, Davis, 2021.

This item must not be sold to any third party vendors.

Presented is uncertainty quantification and risk analysis of earthquake soil structure interacting (ESSI) system. Modeling epistemic uncertainties and parametric aleatory variabilities are distinguished as two different types of uncertainties in ESSI system and are treated separately: Modeling epistemic uncertainties are characterized and reduced by performing high fidelity ESSI modeling. For accurate quantification and efficient propagation of parametric aleatory variabilities, a time domain intrusive framework is established and applied to probabilistic seismic risk analysis.Developments towards high fidelity ESSI modeling include wave potential formulation - domain reduction method (WPF-DRM) to model ESSI under spatially varying, inclined incident seismic waves. Methodology for ESSI modeling using regional physics-based 3D seismic motions is also developed. To simulate solid fluid interaction in ESSI modeling, amodified volume of fluid method is proposed. These high fidelity modeling methodologies are implemented into Real-ESSI simulator and applied to ESSI modeling of small modular reactor (SMR), gravity dam, low-rise and high-rise buildings.Parametric aleatory variabilities in both uncertain seismic motions and uncertain engineering system are quantified and represented through Hermite polynomial chaos. Methodology is developed to simulate scenario-consistent, time domain stochastic motions. Hermite polynomial chaos (PC) Karhunen-Loeve (KL) expansion is formulated to represent both non-stationary random process motions and heterogeneous random field material parameters. Galerkin stochastic elastic-plastic finite element method (SEPFEM) is developed to efficiently propagate parametric aleatory variabilities. For the constitutive modeling of SEPFEM, polynomial chaos based probabilistic 1D elastoplastic response with Armstrong-Frederick kinematic hardening is derived. SEPFEM intrusively solves the complete probabilistic dynamic response of uncertain engineering system excited by uncertain motions. Based on that, seismic risk of any engineering demandparameter(s) and/or damage measure(s) can be post-processed. The time domain intrusive framework resolves the issues of using IM(s) as simplified proxy to quantify uncertain motions. It also overcomes the limitations of conventional non-intrusive Monte Carlo type approaches to propagate aleatory variabilities. The proposed framework is applied to stochastic site response analysis and probabilistic seismic risk analysis of nonlinear shear frame structure. Earthquakesource, path and site effects on seismic risk are also investigated.

ISBN: 9798515257231Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

Earthquake engineering

Uncertainty Quantification and Risk Analysis of Earthquake Soil Structure Interacting System.
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500 $a Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
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520 $a Presented is uncertainty quantification and risk analysis of earthquake soil structure interacting (ESSI) system. Modeling epistemic uncertainties and parametric aleatory variabilities are distinguished as two different types of uncertainties in ESSI system and are treated separately: Modeling epistemic uncertainties are characterized and reduced by performing high fidelity ESSI modeling. For accurate quantification and efficient propagation of parametric aleatory variabilities, a time domain intrusive framework is established and applied to probabilistic seismic risk analysis.Developments towards high fidelity ESSI modeling include wave potential formulation - domain reduction method (WPF-DRM) to model ESSI under spatially varying, inclined incident seismic waves. Methodology for ESSI modeling using regional physics-based 3D seismic motions is also developed. To simulate solid fluid interaction in ESSI modeling, amodified volume of fluid method is proposed. These high fidelity modeling methodologies are implemented into Real-ESSI simulator and applied to ESSI modeling of small modular reactor (SMR), gravity dam, low-rise and high-rise buildings.Parametric aleatory variabilities in both uncertain seismic motions and uncertain engineering system are quantified and represented through Hermite polynomial chaos. Methodology is developed to simulate scenario-consistent, time domain stochastic motions. Hermite polynomial chaos (PC) Karhunen-Loeve (KL) expansion is formulated to represent both non-stationary random process motions and heterogeneous random field material parameters. Galerkin stochastic elastic-plastic finite element method (SEPFEM) is developed to efficiently propagate parametric aleatory variabilities. For the constitutive modeling of SEPFEM, polynomial chaos based probabilistic 1D elastoplastic response with Armstrong-Frederick kinematic hardening is derived. SEPFEM intrusively solves the complete probabilistic dynamic response of uncertain engineering system excited by uncertain motions. Based on that, seismic risk of any engineering demandparameter(s) and/or damage measure(s) can be post-processed. The time domain intrusive framework resolves the issues of using IM(s) as simplified proxy to quantify uncertain motions. It also overcomes the limitations of conventional non-intrusive Monte Carlo type approaches to propagate aleatory variabilities. The proposed framework is applied to stochastic site response analysis and probabilistic seismic risk analysis of nonlinear shear frame structure. Earthquakesource, path and site effects on seismic risk are also investigated.
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