Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis

• Published in: Journal of sound and vibration Vol. 448; pp. 230 - 246
• Main Authors: Khatir, Samir, Abdel Wahab, Magd, Boutchicha, Djilali, Khatir, Tawfiq
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 26.05.2019; Elsevier Science Ltd
• Subjects: Algorithms; Damage assessment; Damage detection; Experimental modal analysis; Finite element analysis; Finite element method; Inverse problem; Isogeometric analysis; Machine learning; Optimization; Optimizations; Particle swarm optimization; Strain energy; Structural damage; Structural health monitoring; Teaching-learning-based optimization algorithm; Two dimensional analysis; Vibration analysis; Vibration tests; Isogeometric analysis; Finite element method; Teaching-learning-based optimization algorithm; Experimental modal analysis; Optimizations; Inverse problem
• ISSN: 0022-460X; 1095-8568
• DOI: 10.1016/j.jsv.2019.02.017

This paper proposes a two-stage approach for damage assessment in beam-like structures using two-dimensional Isogeometric Analysis (IGA) and Finite Element Method (FEM) combined with optimization techniques. In the first stage, the Local Frequencies Change Ratio (LFCR) indicator and a newly developed damage indicator based on normalized Modal Strain Energy Indicator (nMSEDI) are introduced to locate effectively the potential damaged elements. In order to verify nMSEDI, different scenarios based on single and multiple damages are studied using numerical experiments. In the second stage, the Teaching-Learning-Based Optimization Algorithm (TLBO) is utilized and its performance is compared with that of Particle Swarm Optimization (PSO) and Bat Algorithm (BA). The three optimizations techniques are combined with IGA using nMSEDI as objective function. In addition, experimental vibration tests using laboratory steel been are conducted to validate the proposed technique. The obtained results clearly indicate that the proposed approach can be used to determine accurately and efficiently both damage location and severity in beam-like structures.