Damage identification based on improved GSO algorithm
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Damage identification based on improved GSO algorithm
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 56, Issue 2, Pages: 62-65(2017)
作者机构:
中山大学工学院,广东,广州,510006
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Published:2017,
Published Online:25 March 2017,
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HU Lei, Lv Zhongrong, LIU Jike. Damage identification based on improved GSO algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 56(2):62-65(2017)
DOI:
HU Lei, Lv Zhongrong, LIU Jike. Damage identification based on improved GSO algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 56(2):62-65(2017)DOI:
Damage identification based on improved GSO algorithm
An approach based on improved glowworm swarm optimization (GSO) for structure damage detection is presented. The local damage is simulated by a reduction in the elemental Youngs modulus of the beam .In order to enhance accuracy and convergence rate
the perturbation of the glowworm without neighbor is offered and a new search strategy is introduced in the movement phase of GSO to avoid local optima and enhance the GSO algorithm in high dimensions space target function optimization question solution ability. On the other hand
Axial functionally graded (AFG) beam with the assumptions of Euler-Bernoulli beam theory is adopted to establish the dynamic equation. The numerical experiments with a simply supported beam is carried to illustrate the efficiency of the proposed improvement GSO. The result reveals that the proposed method is more accurate compared to the original GSO
leader GSO (LGSO),and the variation step adaptive GSO.