预应变形状记忆合金丝增强微胶囊结构的自修复性能:三维FEM/XFEM建模

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Mohsen Taheri-Boroujeni, M. J. Ashrafi
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引用次数: 1

摘要

微胶囊与形状记忆合金(SMAs)的结合是一种很有前途的自修复机制。虽然有几个参数会影响这种结构的性能,但对这种联合愈合机制的研究有限。在这项工作中,我们使用由基体、玻璃微胶囊、愈合剂和Ni-Ti SMA丝组成的三维有限元和扩展有限元模型研究了这种复合结构的性能。通过对试验结果的检验,观察了形状记忆合金丝对提高最大断裂应力的作用。研究了形状记忆合金丝的半径、初始裂纹位置、微囊厚度比和体积分数以及界面强度对极限断裂应力的影响。同时,作为自愈性能的关键参数,使用体积分数为0.5%的无预应变形状记忆丝时,裂纹张开距离从5 μm减小到0.008 μm。当钢丝的预应变为1%时,该值几乎为零,并且在断口之间产生压应力,这可以增强愈合过程和愈合剂的粘附性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-healing performance of a microcapsule-based structure reinforced with pre-strained shape memory alloy wires: 3-D FEM/XFEM modeling
Combination of microcapsules and shape memory alloys (SMAs) is one of the promising self-healing mechanisms. Although there are several parameters which affect the performance of such structures, limited studies are performed on this combined healing mechanism. In this work, we study the performance of such a composite structure using a 3-D finite element and extended finite element model consisting of matrix, glass microcapsule, healing agent, and Ni-Ti SMA wire. After examining the results, the effect of shape memory alloy wires on increasing the maximum fracture stress was observed. Moreover, the effect of radius of shape memory alloy wires, initial crack location, thickness ratio and volume fraction of microcapsules, and interface strength on ultimate fracture stress are investigated. Also, as a key parameter in self-healing performance, the crack opening distance decreased from 5 to 0.008 μm using 0.5% volume fraction of shape memory wires without pre-strain. In the case that the wires have a pre-strain of 1%, this value reaches almost zero and a compressive stress is induced between fracture surfaces which can enhance the healing process and adherence of healing agent.
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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