Concurrent n-scale modeling for non-orthogonal woven composite Article Swipe

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Jiaying Gao , Satyajit Mojumder , Weizhao Zhang , Hengyang Li , Derick Suarez , Chunwang He , Jian Cao , Wing Kam Liu ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2105.10411

Concurrent analysis of composite materials can provide the interaction among scales for better composite design, analysis, and performance prediction. A data-driven concurrent n-scale modeling theory ($\textrm{FExSCA}^\textrm{n-1}$) is proposed in this paper utilizing a mechanistic reduced order model (ROM) called self-consistent clustering analysis (SCA). We demonstrated this theory with a $\textrm{FExSCA}^2$ approach to study the 3-scale woven carbon fiber reinforced polymer (CFRP) laminate structure. $\textrm{FExSCA}^2$ significantly reduced expensive 3D nested composite representative volume elements (RVEs) computation for woven and unidirectional (UD) composite structures by developing a material database. The modeling procedure is established by integrating the material database into a woven CFRP structural numerical model, formulating a concurrent 3-scale modeling framework. This framework provides an accurate prediction for the structural performance (e.g., nonlinear structural behavior under tensile load), as well as the woven and UD physics field evolution. The concurrent modeling results are validated against physical tests that link structural performance to the basic material microstructures. The proposed methodology provides a comprehensive predictive modeling procedure applicable to general composite materials aiming to reduce laborious experiments needed.

Related Topics

Ultimate Tensile Strength

Cluster Analysis

Computer Science

Structural Engineering

Artificial Intelligence

Physics

Quantum Mechanics

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Composite number Scale (ratio) Computation Ultimate tensile strength Cluster analysis Computer science Structural engineering Field (mathematics) Woven fabric Materials science Computational science Composite material Engineering Algorithm Mathematics Artificial intelligence Physics Quantum mechanics Pure mathematics

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2105.10411
PDF: https://arxiv.org/pdf/2105.10411
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DOI: https://doi.org/10.48550/arxiv.2105.10411

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Title: Concurrent n-scale modeling for non-orthogonal woven composite

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Language: en

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Publication year: 2021

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Publication date: 2021-05-21

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Authors: Jiaying Gao, Satyajit Mojumder, Weizhao Zhang, Hengyang Li, Derick Suarez, Chunwang He, Jian Cao, Wing Kam Liu

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Landing page: https://arxiv.org/abs/2105.10411

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Concepts: Composite number, Scale (ratio), Computation, Ultimate tensile strength, Cluster analysis, Computer science, Structural engineering, Field (mathematics), Woven fabric, Materials science, Computational science, Composite material, Engineering, Algorithm, Mathematics, Artificial intelligence, Physics, Quantum mechanics, Pure mathematics

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abstract_inverted_index.clustering	40
abstract_inverted_index.concurrent	21, 106, 138
abstract_inverted_index.developing	83
abstract_inverted_index.evolution.	136
abstract_inverted_index.framework.	109
abstract_inverted_index.prediction	115
abstract_inverted_index.predictive	161
abstract_inverted_index.reinforced	58
abstract_inverted_index.structural	101, 118, 122, 148
abstract_inverted_index.structure.	62
abstract_inverted_index.structures	81
abstract_inverted_index.computation	74
abstract_inverted_index.data-driven	20
abstract_inverted_index.established	91
abstract_inverted_index.experiments	173
abstract_inverted_index.formulating	104
abstract_inverted_index.integrating	93
abstract_inverted_index.interaction	8
abstract_inverted_index.mechanistic	33
abstract_inverted_index.methodology	157
abstract_inverted_index.performance	17, 119, 149
abstract_inverted_index.prediction.	18
abstract_inverted_index.demonstrated	44
abstract_inverted_index.comprehensive	160
abstract_inverted_index.significantly	64
abstract_inverted_index.representative	70
abstract_inverted_index.unidirectional	78
abstract_inverted_index.self-consistent	39
abstract_inverted_index.microstructures.	154
abstract_inverted_index.$\textrm{FExSCA}^2$	49, 63
abstract_inverted_index.($\textrm{FExSCA}^\textrm{n-1}$)	25
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	8
sustainable_development_goals[0].id	https://metadata.un.org/sdg/8
sustainable_development_goals[0].score	0.5
sustainable_development_goals[0].display_name	Decent work and economic growth
citation_normalized_percentile