存在固有缺陷的金属不确定本构模型

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jiazheng Zhu, Xiaojun Wang, Yanru Mu
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引用次数: 0

摘要

金属的本构模型是固体力学中最重要的组成部分之一,由于金属在不同空间尺度上的力学行为具有不确定性,其本构模型不可避免地受到缺陷不确定性的影响。金属微观结构的复杂性,加上数值模拟的高成本,对建立金属宏观和微观不确定性之间的相关性提出了挑战。本文提出了一种新的六角形紧密堆积(HCP)多晶不确定本构模型,将点缺陷和位错集成到微不确定分析中,建立了计算金属不确定本构模型的多尺度框架。在密度泛函理论和微晶塑性理论的基础上,区间形式作为微不确定性的变量,可以精确量化初始位错密度等参数的不确定性。通过建立跨尺度不确定性传播的代理模型,可以确定金属的性能包络线。将该框架应用于α-相纯钛的工程实例计算系统响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncertain constitutive model for metals in the presence of inherent defects
The constitutive model of metals is one of the most important elements in solid mechanics, as the mechanical behavior at different spatial scales is uncertain, and the constitutive model is inevitably subject to uncertainty of defects. The complexity of metal microstructure, coupled with the high cost of numerical simulation, poses a challenge in establishing the correlation between macro and micro uncertainties in metals. This article proposes a new uncertain constitutive model for hexagonal close packing (HCP) polycrystal, integrating Point defect and dislocation into micro-uncertainty analysis and developing a multiscale framework for calculating the uncertain constitutive model of metal. Building on density functional theory and microcrystalline plasticity theory, interval forms are employed as variables for micro-uncertainty, allowing for accurate quantification of uncertainties in parameters such as initial dislocation density. By constructing a surrogate model for cross-scale uncertainty propagation, the performance envelope of metals can be determined. The framework is then applied to engineering case study of α-phase pure titanium to calculate system responses.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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