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Probabilistic Approaches for Multi-H...

Kwag, Shinyoung.

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Probabilistic Approaches for Multi-Hazard Risk Assessment of Structures and Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Probabilistic Approaches for Multi-Hazard Risk Assessment of Structures and Systems./
作者:	Kwag, Shinyoung.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	266 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10583447
ISBN:	9781369621266

Probabilistic Approaches for Multi-Hazard Risk Assessment of Structures and Systems.
Kwag, Shinyoung.

Probabilistic Approaches for Multi-Hazard Risk Assessment of Structures and Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 266 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--North Carolina State University, 2016.

Performance assessment of structures, systems, and components for multi-hazard scenarios has received significant attention in recent years. However, the concept of multi-hazard analysis is quite broad in nature and the focus of existing literature varies across a wide range of problems. In some cases, such studies focus on hazards that either occur simultaneously or are closely correlated with each other. For example, seismically induced flooding or seismically induced fires. In other cases, multi-hazard studies relate to hazards that are not dependent or correlated but have strong likelihood of occurrence at different times during the lifetime of a structure. The current approaches for risk assessment need enhancement to account for multi-hazard risks. It must be able to account for uncertainty propagation in a systems-level analysis, consider correlation among events or failure modes, and allow integration of newly available information from continually evolving simulation models, experimental observations, and field measurements. This dissertation presents a detailed study that proposes enhancements by incorporating Bayesian networks and Bayesian updating within a performance-based probabilistic framework. The performance-based framework allows propagation of risk as well as uncertainties in the risk estimates within a systems analysis. Unlike conventional risk assessment techniques such as a fault-tree analysis, a Bayesian network can account for statistical dependencies and correlations among events/hazards. The proposed approach is extended to develop a risk-informed framework for quantitative validation and verification of high fidelity system-level simulation tools. Validation of such simulations can be quite formidable within the context of a multi-hazard risk assessment in nuclear power plants. The efficiency of this approach lies in identification of critical events, components, and systems that contribute to the overall risk. Validation of any event or component on the critical path is relatively more important in a risk-informed environment. Significance of multi-hazard risk is also illustrated for uncorrelated hazards of earthquakes and high winds which may result in competing design objectives. It is also illustrated that the number of computationally intensive nonlinear simulations needed in performance-based risk assessment for external hazards can be significantly reduced by using the power of Bayesian updating in conjunction with the concept of equivalent limit-state.

ISBN: 9781369621266Subjects--Topical Terms:

860360
Civil engineering.

Probabilistic Approaches for Multi-Hazard Risk Assessment of Structures and Systems.
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