Framework for Online Model Updating in Earthquake Hybrid Simulations
| Autor: | Hazem H. Elanwar, Amr S. Elnashai |
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| Rok vydání: | 2015 |
| Předmět: |
Scheme (programming language)
Online model 021110 strategic defence & security studies Engineering Computer simulation Artificial neural network business.industry Constitutive equation 0211 other engineering and technologies Process (computing) 020101 civil engineering Control engineering 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology 0201 civil engineering Identification (information) Component (UML) business computer Simulation Civil and Structural Engineering computer.programming_language |
| Zdroj: | Journal of Earthquake Engineering. 20:80-100 |
| ISSN: | 1559-808X 1363-2469 |
| Popis: | Hybrid simulation has been effectively utilized to assess structural response subjected to intense dynamic loads. The process comprises dividing the structure into experimental and numerical modules. The experimental modules represent the critical components responses, which cannot be idealized reliably through analytical approaches. The responses of the different modules are combined through a stepwise integration scheme. In conventional hybrid simulations, the number of experimental components is restricted by the capacity of the test facility; usually 1–3 components, and the numerical simulation does not benefit from the information acquired from the tested component during the analysis. In this article, a framework is proposed to identify the material constitutive relationship from the tested component(s) and to update the corresponding numerical parts that share close characteristics with the physical tests. Optimization tools and neural networks are presented as alternatives for the identification p... |
| Databáze: | OpenAIRE |
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