A hybrid data-driven machine learning framework for predicting the impact resistance of composite armor

IF 5.1 2区 工程技术 Q1 ENGINEERING, MECHANICAL
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Abstract

Composite armor plays a crucial role as the primary defense against high-velocity impacts from fragments and projectiles. However, balancing the need for lightweight structures with the requirement for robust protection remains a significant engineering challenge. Traditional approaches for predicting the protective performance of armor typically involve a combination of experimental testing and numerical simulations, both of which can be resource-intensive and costly. In contrast, data-driven methods combined with machine learning have demonstrated the potential to significantly reduce both time and economic costs, highlighting their substantial advantages in various engineering domains. Unfortunately, a mature machine learning framework for predicting the performance of multilayer composite armor against high-velocity impacts from large fragments has yet to be established. In this paper, a novel data-driven framework for predicting the ballistic performance of composite armor using a hybrid model of Support Vector Machine and Deep Neural Network was established. This framework employed hyperparameter optimization to enhance predictive performance, yielding a model with excellent accuracy. The proposed model was adaptable to multilayered armor with varying layer thicknesses, enabling rapid predictions of armor penetration, residual projectile kinetic energy, and armor deformation.

Abstract Image

用于预测复合装甲抗冲击性的混合数据驱动机器学习框架
复合装甲作为抵御碎片和射弹高速撞击的主要防御手段,发挥着至关重要的作用。然而,如何在轻质结构与坚固防护之间取得平衡,仍然是一项重大的工程挑战。预测装甲防护性能的传统方法通常涉及实验测试和数值模拟的结合,这两种方法都可能是资源密集型的,而且成本高昂。相比之下,数据驱动方法与机器学习相结合,已显示出显著降低时间和经济成本的潜力,在各种工程领域凸显出巨大优势。遗憾的是,用于预测多层复合装甲抵御大型碎片高速冲击性能的成熟机器学习框架尚未建立。本文利用支持向量机和深度神经网络的混合模型,建立了一个预测复合装甲弹道性能的新型数据驱动框架。该框架采用超参数优化来提高预测性能,从而建立了一个具有出色准确性的模型。所提出的模型适用于不同层厚的多层装甲,能够快速预测装甲穿透、射弹残余动能和装甲变形。
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来源期刊
International Journal of Impact Engineering
International Journal of Impact Engineering 工程技术-工程:机械
CiteScore
8.70
自引率
13.70%
发文量
241
审稿时长
52 days
期刊介绍: The International Journal of Impact Engineering, established in 1983 publishes original research findings related to the response of structures, components and materials subjected to impact, blast and high-rate loading. Areas relevant to the journal encompass the following general topics and those associated with them: -Behaviour and failure of structures and materials under impact and blast loading -Systems for protection and absorption of impact and blast loading -Terminal ballistics -Dynamic behaviour and failure of materials including plasticity and fracture -Stress waves -Structural crashworthiness -High-rate mechanical and forming processes -Impact, blast and high-rate loading/measurement techniques and their applications
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