晶格离散粒子模型的高效静态求解器

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-07-15 DOI:10.1111/mice.13306
Dongge Jia, John C. Brigham, Alessandro Fascetti
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引用次数: 0

摘要

晶格离散粒子模型(LDPM)已被证明是模拟准脆性材料断裂最有吸引力的计算工具之一。尽管在该方法的定义和实施方面取得了巨大进步,但求解策略仍局限于动态算法,导致计算成本过高,并对准静态条件下的求解精度提出了挑战。本研究提出了一种新型 LDPM 静态求解器,引入了基本创新:(1)修改了 LDPM 构成法则,以提供所有可能的应变/应力状态下的连续响应;(2)提出了一种自适应弧长法,并结合一种准则来选择迭代载荷系数的符号;(3)提出了一种自适应极限-卸载-重载路径切换算法,以限制全局刚度矩阵中的振荡。本文对所提出的方法进行了广泛的验证。数值结果表明,静态求解器的收敛速度令人满意,在计算效率方面明显优于现有的动态求解器。
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An efficient static solver for the lattice discrete particle model

The lattice discrete particle model (LDPM) has been proven to be one of the most appealing computational tools to simulate fracture in quasi-brittle materials. Despite tremendous advancements in the definition and implementation of the method, solution strategies are still limited to dynamic algorithms, resulting in prohibitive computational costs and challenges related to solution accuracy for quasi-static conditions. This study presents a novel static solver for LDPM, introducing fundamental innovation: (1) LDPM constitutive laws are modified to provide continuous response through all possible strain/stress states; (2) an adaptive arc-length method is proposed in combination with a criterion to select the sign of the iterative load factor; (3) an adaptive limit-unloading–reloading path switch algorithm is proposed to restrict oscillations in the global stiffness matrix. Extensive validation of the proposed approach is presented. Numerical results demonstrate that the static solver exhibits satisfactory convergence rates, significantly outperforming available dynamic solutions in computational efficiency.

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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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