(1. Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092;2. Department of Architecture, School of Science and Engineering, Kinki University, Osaka 577-8502, Japan;3. Department of civil engineering, Suzhou University of science and technology, Suzhou 215011)
Abstract： A new approach to parameter estimation in structural system is developed using differential evolution (DE) algorithm. The inverse problem of parameter identification is formulated as an optimization problem. Based on the information from the observed dynamic time-history and calculated dynamic time-history, an objective function for inverse problem is defined. DE is used to find global minimum of the objective function, which in turns is the solution for the system parameters. DE is a new robust stochastic evolutionary computational algorithm. This novel heuristic technique aims to ensure the proper solution of this problem by adopting a global optimization approach. The potentialities of DE are its simple structure, easy use, convergence property, quality of solution, and robustness. The effectiveness of the proposed method is evaluated through the numerical simulations and an application to a real building.
2010, Vol. 29 
