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Smart Structures and Systems Volume 26, Number 3, September 2020 , pages 345-360 DOI: https://doi.org/10.12989/sss.2020.26.3.345 |
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A hybrid identification method on butterfly optimization and differential evolution algorithm |
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Hongyuan Zhou, Guangcai Zhang, Xiaojuan Wang, Pinghe Ni and Jian Zhang
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| Abstract | ||
| Modern swarm intelligence heuristic search methods are widely applied in the field of structural health monitoring due to their advantages of excellent global search capacity, loose requirement of initial guess and ease of computational implementation etc. To this end, a hybrid strategy is proposed based on butterfly optimization algorithm (BOA) and differential evolution (DE) with purpose of effective combination of their merits. In the proposed identification strategy, two improvements including mutation and crossover operations of DE, and dynamic adaptive operators are introduced into original BOA to reduce the risk to be trapped in local optimum and increase global search capability. The performance of the proposed algorithm, hybrid butterfly optimization and differential evolution algorithm (HBODEA) is evaluated by two numerical examples of a simply supported beam and a 37-bar truss structure, as well as an experimental test of 8-story shear-type steel frame structure in the laboratory. Compared with BOA and DE, the numerical and experimental results show that the proposed HBODEA is more robust to detect the reduction of stiffness with limited sensors and contaminated measurements. In addition, the effect of search space, two dynamic operators, population size on identification accuracy and efficiency of the proposed identification strategy are further investigated. | ||
| Key Words | ||
| butterfly optimization algorithm; differential evolution; hybrid algorithm; structural damage detection; parameter identification; dynamic adaptive operator | ||
| Address | ||
| (1) Hongyuan Zhou, Guangcai Zhang, Xiaojuan Wang, Pinghe Ni: Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China; (2) Jian Zhang: Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China. | ||