Differential evolution strategy for structural system identification

Authors:
Hesheng Tang;Songtao Xue;Cunxin Fan
Affiliations:
Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Siping Road 1239, Shanghai 200092, China;Department of Architecture, School of Science and Engineering, Kinki University, Osaka 577-0056, Japan;Department of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215011, China
Venue:
Computers and Structures
Year:
2008

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Abstract

Differential evolution (DE) is a heuristic method that has yielded promising results for solving complex optimization problems. The potentialities of DE are its simple structure, easy use, convergence property, quality of solution, and robustness. This paper utilizes a DE strategy to parameters estimation of structural systems, which could be formulated as a multi-modal numerical optimization problem with high dimension. Simulation results for identifying the parameters of structural systems under conditions including limited output data, noise polluted signals, and no prior knowledge of mass, damping, or stiffness are presented to demonstrate the effectiveness of the proposed method.