基于模态数据和萤火虫优化算法的板损伤评估

N. Navabian, R. Taghipour, M. Bozorgnasab, J. Ghasemi
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引用次数: 1

摘要

本文提出了一种识别钢板损伤位置和严重程度的方法。基于振型及其导数,使用新的损伤指数(MDC)来检测损伤位置。通过模态分析计算振型,并通过中心有限差分近似获得其导数。将结果输入到所提出的损伤指数中,以找到损伤区域的位置。之后,使用萤火虫算法(FA)来评估受损区域中的损伤量。通过实例说明了所提出的损伤评估程序的能力。根据结果,新提出的指标能够以可接受的精度找到损伤位置。此外,FA可以评估受损区域的损伤严重程度,误差小于2%。所提出的方法即使对于噪声污染的数据也能够识别损害。
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Damage evaluation in plates using modal data and firefly optimisation algorithm
This paper presents a method to identify the location and severity of the damages in plates. The location of damage is detected using a new damage index (MDC), based on the mode shapes and their derivatives. The mode shapes are calculated via modal analysis and their derivatives are obtained through central finite difference approximation. The results are fed into the proposed damage index to find the location of damaged areas. Thereafter, the quantity of damage in the damaged area is assessed using firefly algorithm (FA). The capability of the proposed damage evaluation procedure is shown through some examples. According to the results, the newly proposed index is capable of finding the damage locations with acceptable accuracy. In addition, FA can assess the damage severities in the damaged zones with an error less than 2%. The proposed approach has the ability to identify the damages even for noisy polluted data.
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来源期刊
International Journal of Structural Engineering
International Journal of Structural Engineering Engineering-Civil and Structural Engineering
CiteScore
2.40
自引率
23.10%
发文量
24
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