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http://dx.doi.org/10.12989/sem.2008.30.3.331

A framework for distributed analytical and hybrid simulations  

Kwon, Oh-Sung (Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science and Technology)
Elnashai, Amr S. (William J. & Elaine F. Hall Endowed Professor of Civil & Environmental Engineering, Director of the Mid-America Earthquake Center, University of Illinois at Urbana-Champaign)
Spencer, Billie F. (Nathan M. and Anne M. Newmark Endowed Chair, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign)
Publication Information
Structural Engineering and Mechanics / v.30, no.3, 2008 , pp. 331-350 More about this Journal
Abstract
A framework for multi-platform analytical and multi-component hybrid (testing-analysis) simulations is described in this paper and illustrated with several application examples. The framework allows the integration of various analytical platforms and geographically distributed experimental facilities into a comprehensive pseudo-dynamic hybrid simulation. The object-oriented architecture of the framework enables easy inclusion of new analysis platforms or experimental models, and the addition of a multitude of auxiliary components, such as data acquisition and camera control. Four application examples are given, namely; (i) multi-platform analysis of a bridge with soil and structural models, (ii) multiplatform, multi-resolution analysis of a high-rise building, (iii) three-site small scale frame hybrid simulation, and (iv) three-site large scale bridge hybrid simulation. These simulations serve as illustrative examples of collaborative research among geographically distributed researchers employing different analysis platforms and testing equipment. The versatility of the framework, ease of including additional modules and the wide application potential demonstrated in the paper provide a rich research environment for structural and geotechnical engineering.
Keywords
hybrid simulation; multi-platform analysis; pseudo-dynamic testing;
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