Chapter
Apr 26, 2012
Comparison of Incremental Dynamic, Cloud, and Stripe Methods for Computing Probabilistic Seismic Demand Models
Publication: Structures Congress 2005: Metropolis and Beyond
Abstract
Probabilistic seismic demand models (PSDMs) are mathematical relations between measures of earthquake intensity and measures of structural response. The models include best estimates as well as considerations of uncertainty. Three methods for obtaining the demand models are compared in this paper: cloud, incremental dynamic, and stripe. A PSDM is derived using each method for a sample reinforced concrete bridge using a single IM (first-mode spectral acceleration) and EDP (column drift ratio). Merits and drawbacks of each method are discussed. For the structure considered, cloud and incremental dynamic analyses yield interchangeable PSDMs for the same amount of computational effort. Stripe analysis should be used only for individual intensity levels, not as a means of generating complete PSDMs.
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Published In
Structures Congress 2005: Metropolis and Beyond
Pages: 1 - 11
Copyright
© 2005 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Computer models
- Computer networks
- Computing in civil engineering
- Continuum mechanics
- Dynamic models
- Dynamics (solid mechanics)
- Earthquake engineering
- Engineering fundamentals
- Engineering mechanics
- Geotechnical engineering
- Mathematics
- Models (by type)
- Probability
- Seismic effects
- Seismic tests
- Solid mechanics
- Structural dynamics
- Structural models
- Tests (by type)
Authors
Affiliations
Postdoctoral Researcher, 721 Davis Hall #1710, Department of Civil and Environmental Engineering, University of California, Berkeley. E-mail: [email protected]
Associate Professor, Department of Civil and Environmental Engineering, 721 Davis Hall #1710, University of California, Berkeley 94720-1710. E-mail: [email protected]
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