A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations

Research article (Nonlinear Engineering, 2024) · cited 31× · AI/ML
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A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations

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A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations is a scholarly article[1].

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  • A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-framework-for-effective-structural-vulnerability-assessment-of-tubular-structures-using-machine-learning-algorit
MLA “A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-framework-for-effective-structural-vulnerability-assessment-of-tubular-structures-using-machine-learning-algorit.
BibTeX @misc{4ortxyz_a-novel-framework-for-effective-structural-vulnerability-assessment-of-tubular-structures-using-machine-learning-algorit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-framework-for-effective-structural-vulnerability-assessment-of-tubular-structures-using-machine-learning-algorit}, note = {Accessed: 2026-05-24}}
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