Journal article
Analytical Seismic Assessment of a Tall Long-Span Curved Reinforced-Concrete Bridge. Part II: Structural Response
Journal of earthquake engineering : JEE, v 21(8), pp 1335-1364
01 Jan 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The seismic assessment of special bridges, even under the hypothesis of full knowledge of site conditions, structural characteristics, and seismic activity at their location, is not an easy and straightforward task due to the complexities and uncertainties related to the finite-element modeling approaches, structural loading scenarios, and seismic analysis methodologies. In this article, a series of nonlinear static and dynamic finite-element analyses on the Mogollon Rim Viaduct are performed with consideration of both uniform and conditionally simulated non-uniform seismic motions. The failure modes of the bridge using different numerical modeling approaches are discussed, and the degree of sensitivity of its response to the different seismic assessment strategies is evaluated. The effect of the multi-component, multi-support and multi-directional excitations of ground motions on the design and response are studied, and the pros and cons of the commonly used structural analysis methodologies of bridges are also addressed. The numerical results of the present study provide a deeper insight into the nonlinear behavior of curved reinforced-concrete bridges, and suggest practice-oriented approaches for their seismic assessment.
Metrics
Details
- Title
- Analytical Seismic Assessment of a Tall Long-Span Curved Reinforced-Concrete Bridge. Part II: Structural Response
- Creators
- M. R. Falamarz-Sheikhabadi - Drexel UniversityA. Zerva - Drexel University
- Publication Details
- Journal of earthquake engineering : JEE, v 21(8), pp 1335-1364
- Publisher
- Taylor & Francis
- Number of pages
- 30
- Grant note
- CMMI-0900179; CMMI-1129396 / United States National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000423301700007
- Scopus ID
- 2-s2.0-84991030258
- Other Identifier
- 991019168435104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Engineering, Geological
- Geosciences, Multidisciplinary