Higher-order sensitivity analyses to understand the role of FE input parameters on the simulation of composites in progressive fracture tests

IF 6.3 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures Pub Date : 2024-09-23 DOI:10.1016/j.compstruct.2024.118585

Johannes Reiner

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引用次数: 0

Abstract

With the rise of data-driven engineering methods, such as machine learning, a comprehensive understanding of the underlying data fed into these algorithms is required for effectively applying these methods. This study presents two highly efficient Finite Element (FE) models that operate at different length scales, based on Continuum Damage Mechanics (CDM). The combination with Random Sampling-High Dimensional Model Representation (RS-HDMR) enables the determination of influential FE input parameters and their correlations to simulate Fibre Reinforced Polymer (FRP) composites subjected to a variety of progressive fracture tests in tension and compression. The results indicate that laminate-based models utilise the FE input parameters efficiently where all parameters are found to be influential. On the other hand, only fibre-related properties are relevant in ply-based FE models, with all input parameters related to transverse properties deemed to be non-influential. The findings of this study aid in identifying suitable fracture tests for a meaningful calibration and validation of CDM-based FE models. Moreover, the study lays the foundation for understanding the role of input parameters within data-driven methods, and for developing efficient reduced-order models or surrogates for uncertainty quantification on the damage tolerance of FRP composites.

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通过高阶敏感性分析了解 FE 输入参数对复合材料在渐进式断裂测试中的模拟作用

随着机器学习等数据驱动型工程方法的兴起，要想有效地应用这些方法，就必须全面了解这些算法的基础数据。本研究以连续损伤力学（CDM）为基础，提出了两种在不同长度尺度上运行的高效有限元（FE）模型。结合随机取样-高维模型表示法（RS-HDMR），可以确定有影响的有限元输入参数及其相关性，从而模拟纤维增强聚合物（FRP）复合材料在拉伸和压缩条件下进行的各种渐进式断裂试验。结果表明，基于层压板的模型有效地利用了 FE 输入参数，其中所有参数都是有影响的。另一方面，在基于层状结构的 FE 模型中，只有与纤维相关的属性才具有相关性，而与横向属性相关的所有输入参数都被认为是非影响性的。这项研究的结果有助于确定合适的断裂测试，从而对基于 CDM 的 FE 模型进行有意义的校准和验证。此外，该研究还为理解数据驱动方法中输入参数的作用，以及开发高效的降阶模型或替代物以量化玻璃钢复合材料损伤容限的不确定性奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Composite Structures 工程技术-材料科学：复合

CiteScore

12.00

自引率

12.70%

发文量

1246

审稿时长

78 days

期刊介绍： The past few decades have seen outstanding advances in the use of composite materials in structural applications. There can be little doubt that, within engineering circles, composites have revolutionised traditional design concepts and made possible an unparalleled range of new and exciting possibilities as viable materials for construction. Composite Structures, an International Journal, disseminates knowledge between users, manufacturers, designers and researchers involved in structures or structural components manufactured using composite materials. The journal publishes papers which contribute to knowledge in the use of composite materials in engineering structures. Papers deal with design, research and development studies, experimental investigations, theoretical analysis and fabrication techniques relevant to the application of composites in load-bearing components for assemblies, ranging from individual components such as plates and shells to complete composite structures.