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Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2015 / Cilt: 33 - Sayı: 2

DAMAGE DETECTION IN SIMULATED SPACE FRAMES USING GENETIC ALGORITHMS

Musa ARTAR
Ayşe T. DALOĞLU
Pages
166–187
Publication Date
2015-06-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results obtained from examples show that GA optimization is a convenient method for damage identification.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Genetic algorithms (GA) based finite element model updating are applied to predict damage location and severity in space frames.
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Key Findings & Data:In this paper, different simulated examples having various damage scenarios are modelled in SAP2000 software to obtain the experimental dynamic data.
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Conclusion & Impact:Results obtained from examples show that GA optimization is a convenient method for damage identification.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:FEM · genetic algorithm · dynamic analysis

Abstract

Genetic algorithms (GA) based finite element model updating are applied to predict damage location and severity in space frames. The changes in natural frequencies are used as dynamic indicators to describe damaged members. Objective functions including dynamic data provide minimization of dynamic differences between numerical model and simulated damaged model. The presence of damages in structural elements is identified by stiffness reduction as a reduction in modulus of elasticity. Reproduction, double-point crossover and mutation operators are used in GA optimization procedures. In this paper, different simulated examples having various damage scenarios are modelled in SAP2000 software to obtain the experimental dynamic data. In the last example, noise effect is taken into account in simulated damaged data. A program is developed in MATLAB software for numerical model updating based on all genetic algorithm procedures. Thus, the size and extent of simulated damages are determined by updated numerical model. Results obtained from examples show that GA optimization is a convenient method for damage identification.

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Cite This Article

ARTAR, M., DALOĞLU, A. T. (2015). DAMAGE DETECTION IN SIMULATED SPACE FRAMES USING GENETIC ALGORITHMS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 33 - Sayı: 2, 166–187. https://ajindex.com/articles/419035

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