Structural damage identification using an enhanced thermal exchange optimization algorithm

The recently developed optimization algorithm-the so-called thermal exchange optimization (TEO) algorithm-is enhanced and applied to a damage detection problem. An offline parameter tuning approach is utilized to set the internal parameters of the TEO, resulting in the enhanced heat transfer optimiz...

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Bibliographic Details
Published in:Engineering optimization 2018-03, Vol.50 (3), p.430-451
Main Authors: Kaveh, A., Dadras, A.
Format: Article
Language:English
Subjects:
Algorithms
Damage detection
enhanced thermal exchange optimization
frames
Heat exchange
Inverse problems
Modal data
Optimization
Optimization algorithms
Structural damage
Thermal exchange optimization
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Summary:The recently developed optimization algorithm-the so-called thermal exchange optimization (TEO) algorithm-is enhanced and applied to a damage detection problem. An offline parameter tuning approach is utilized to set the internal parameters of the TEO, resulting in the enhanced heat transfer optimization (ETEO) algorithm. The damage detection problem is defined as an inverse problem, and ETEO is applied to a wide range of structures. Several scenarios with noise and noise-free modal data are tested and the locations and extents of damages are identified with good accuracy.
ISSN:0305-215X
1029-0273
DOI:10.1080/0305215X.2017.1318872