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contributor authorC. Allin Cornell
contributor authorFatemeh Jalayer
contributor authorRonald O. Hamburger
contributor authorDouglas A. Foutch
date accessioned2017-05-08T20:58:20Z
date available2017-05-08T20:58:20Z
date copyrightApril 2002
date issued2002
identifier other%28asce%290733-9445%282002%29128%3A4%28526%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/33816
description abstractThis paper presents a formal probabilistic framework for seismic design and assessment of structures and its application to steel moment-resisting frame buildings. This is the probabilistic basis for the 2000 SAC Federal Emergency Management Agency (FEMA) steel moment frame guidelines. The framework is based on realizing a performance objective expressed as the probability of exceeding a specified performance level. Performance levels are quantified as expressions relating generic structural variables “demand” and “capacity” that are described by nonlinear, dynamic displacements of the structure. Common probabilistic analysis tools are used to convolve both the randomness and uncertainty characteristics of ground motion intensity, structural “demand,” and structural system “capacity” in order to derive an expression for the probability of achieving the specified performance level. Stemming from this probabilistic framework, a safety-checking format of the conventional “load and resistance factor” kind is developed with load and resistance terms being replaced by the more generic terms “demand” and “capacity,” respectively. This framework also allows for a format based on quantitative confidence statements regarding the likelihood of the performance objective being met. This format has been adopted in the SAC/FEMA guidelines.
publisherAmerican Society of Civil Engineers
titleProbabilistic Basis for 2000 SAC Federal Emergency Management Agency Steel Moment Frame Guidelines
typeJournal Paper
journal volume128
journal issue4
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)0733-9445(2002)128:4(526)
treeJournal of Structural Engineering:;2002:;Volume ( 128 ):;issue: 004
contenttypeFulltext


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