Conference proceeding
Structural identification of phenomenological physical models with controlled mechanisms of uncertainty
Proceedings of SPIE, v 4330(1), pp 165-178
30 Jul 2001
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Structural identification (St-Id) of constructed systems is of interest to researchers as well as civil infrastructure systems owners and operators. St-Id offers an objective, quantitative evaluation of constructed systems through effective and integrated utilization of state-of-the-art experimental and analytical technologies. During the past five years two test beds were created at the University of Cincinnati and Drexel University for the exploration of analytical and experimental barriers obstructing successful St-Id applications. The two physical models are plane-grid structures with different controlled mechanisms of uncertainty. The objective of this paper is to present the St-Id studies to the two physical models. The principal mechanisms of uncertainty that governed the global structure behavior of the first physical model were nonlinear visco- elastic boundaries. The second model incorporated a fiber- reinforced polymer composite deck and its connection details to the grid. The impact of these different mechanisms of uncertainty on the success of St-Id will be addressed.
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Details
- Title
- Structural identification of phenomenological physical models with controlled mechanisms of uncertainty
- Creators
- Korhan Ciloglu - Drexel UniversityFikret N Catbas - Drexel UniversityMesut Pervizpour - Drexel UniversityAlbert. S Wang - Drexel UniversityA. Emin Aktan - Drexel University
- Publication Details
- Proceedings of SPIE, v 4330(1), pp 165-178
- Conference
- Smart Structures and Materials 2001: Smart Systems for Bridges, Structures, and Highways (2001)
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000172264300018
- Scopus ID
- 2-s2.0-0034779196
- Other Identifier
- 991019169575704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Engineering, Electrical & Electronic
- Instruments & Instrumentation
- Materials Science, Coatings & Films
- Materials Science, Composites