Paper
17 May 2005 Finite element model updating of structures using a hybrid optimization technique
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Abstract
Finite element model updating of structures usually results in a nonlinear optimization problem. Finding an optimization technique with high efficiency is one of the key issues for model updating. A hybrid optimization technique is proposed in this paper, which draws together the global searching capability of the chaos-based optimization technique and high searching efficiency of the trust-region optimization method. The hybrid approach is demonstrated to be more efficient and prone to obtain a global minimum as compared to conventional methods using a two dimensional test function. Then this hybrid method is employed to update a 14-bay frame model. An optimization problem for model updating using modal frequencies and modal shapes is formulated. Studies using numerically simulated data and experimental data show that the proposed hybrid optimization technique is very promising for structural model updating.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhongdong Duan, Yang Liu, and Billie F. Spencer "Finite element model updating of structures using a hybrid optimization technique", Proc. SPIE 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (17 May 2005); https://doi.org/10.1117/12.602009
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Cited by 7 scholarly publications.
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KEYWORDS
Optimization (mathematics)

Finite element methods

Data modeling

Chaos

Computer simulations

Sensors

Smart structures

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