Residual tensile strength in composite laminates: a deep learning approach

IF 7.1 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composite Structures Pub Date : 2025-09-20 DOI:10.1016/j.compstruct.2025.119681

Lu Liu , Xing Wang , Junjie Ye , Jinwang Shi , Ziwei Li , Yang Shi , Jianqiao Ye

引用次数: 0

Abstract

To effectively predict residual tensile strength (RTS) of carbon fiber-reinforced plastics (CFRP) composite laminates after impact, an integrated framework is proposed. The framework incorporates a three-dimensional (3D) nonlinear progressive damage model and a backpropagation deep neural network (DNN) model with three hidden layers. The 3D model is developed to predict RTS and prepare dataset for the training of the DNN model. The model is validated by tensile tests on laminates that were damaged by impacts of various energies levels. The failure modes and the fracture morphology of the laminates are studied by simulation and scanning electron microscopy (SEM) results. Statistical analysis on the performance of the DNN demonstrates that a trained and constructed neural network can satisfactorily predict RTS of laminates pre-damaged by impacts.

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复合材料层压板的残余拉伸强度：一种深度学习方法

为了有效预测碳纤维增强塑料（CFRP）复合材料层合板撞击后的残余拉伸强度（RTS），提出了一种集成框架。该框架结合了三维（3D）非线性渐进损伤模型和具有三个隐藏层的反向传播深度神经网络（DNN）模型。开发3D模型用于预测RTS并为DNN模型的训练准备数据集。通过不同能级冲击损伤层合板的拉伸试验，验证了该模型的有效性。通过模拟和扫描电镜（SEM）研究了层合板的破坏模式和断裂形态。对深度神经网络性能的统计分析表明，经过训练和构建的神经网络能够较好地预测撞击预损伤层合板的RTS。

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.