Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network

Research article (Composite Structures, 2022) · cited 48× · AI/ML
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Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network

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Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network is a scholarly article[1].

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  • Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/strength-prediction-and-progressive-damage-analysis-of-carbon-fiber-reinforced-polymer-laminate-with-circular-holes-by-a
MLA “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/strength-prediction-and-progressive-damage-analysis-of-carbon-fiber-reinforced-polymer-laminate-with-circular-holes-by-a.
BibTeX @misc{4ortxyz_strength-prediction-and-progressive-damage-analysis-of-carbon-fiber-reinforced-polymer-laminate-with-circular-holes-by-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/strength-prediction-and-progressive-damage-analysis-of-carbon-fiber-reinforced-polymer-laminate-with-circular-holes-by-a}, note = {Accessed: 2026-05-24}}
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