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PREFACE: MULTISCALE AND MULTIPHYSICS MODELING OF "COMPLEX" MATERIALS AND ENGINEERING APPLICATIONS
International Journal for Multiscale Computational Engineering ( IF 1.4 ) Pub Date : 2020-01-01 , DOI: 10.1615/intjmultcompeng.v18.i1.10
Patrizia Trovalusci , Nicholas Fantuzzi , Maria Laura De Bellis

The present volume is a special issue of selected papers from the 11th edition of a special symposium session, “Multiscale and Multiphysics Modeling for Complex Materials,” organized within the framework of the 9th International Conference on Computational Methods (ICCM2018), held in Rome, Italy, in August 2018, with Professor Trovalusci as chairman. The early focus of the symposium was to bridge the gap between solid mechanics and materials science, providing a forum for the presentation of fundamental, theoretical, experimental, and practical aspects of mechanical modeling of materials with complex microstructures and complex behavior. Among various invited and contributing authors, the conference featured plenary lectures by Professors Somnath Ghosh, from Johns Hopkins University of Baltimore, Maryland, USA; Paulo B. Lourenço, of the University of Minho, Portugal; and Siegfried Schmauder, from the Institute for Materials Testing, Materials Science and Strength of Materials (IMWF), University of Stuttgart, Germany. All these lecturers also contributed to this special issue. The issue is divided into two separate volumes due to the number of contributions attracted. Globally, the whole issue collects fifteen articles by selected invited authors who participated in the mentioned symposium session as well as others. Each contribution has undergone a standard review process, and only papers which received positive recommendations from at least two international referees were included. These contributions provide a survey of the multiscale approaches proposed to describe materials with various internal structures at different scales (nano/micro, meso, macro), from composite, to shape memory, to masonry-like materials, and with complex behaviors such as plasticity, damage, fracture, and phase transformation. Most of the papers aim at detecting the structural performances of advanced materials in various engineering applications ranging from microelectronics to civil engineering. The articles are briefly introduced in the paragraphs below. Ghosh and Guo (2019) [1] develop a finite element model for coupled electromechanical systems. Transient dynamic simulations are performed by considering continuum damage relations, which are needed as a field-based virtual damage sensor. The code is validated by comparing with analytical results and those from commercial software. An electric field–based damage indicator function is proposed and calibrated from data obtained through numerical solutions. The function relates the electric field difference for undamaged and damaged conditions to the damage parameter, its rate, and mechanical and piezoelectric material properties. The virtual damage sensor is used to examine damage conditions in a stretchable piezoelectric serpentine conductor. Lourenço and Silva (2020) [2] present a set of advanced models for the mechanical study of masonry, including the usual micromodeling approaches, macromodeling, and multiscale techniques. An extensive overview of its computational features is provided. The engineering application of such strategies is presented and covers problems starting from the masonry components level (mesoscale) to the structural element itself, and ultimately to the level of monumental buildings (super large). The structural safety assessment and/or strengthening schemes evaluated are performed amid the static, slow dynamics or earthquakes and fast dynamics or impact and blast ranges. Haoyun et al. (2020) [3] adopt a 3D digital image correlation (DIC) system for investigating the fracture behavior of structural steel S355. The DIC system captures the crack propagation and strain field variation on the surface of a side grooved compact tension [C(T)] specimen. The 2D and 3D Gurson-Tvergaard-Needleman (GTN) model is used to simulate the ductile fracture of the specimen and the shape of the stable crack growth region. The DIC technique allows the strain variation and crack propagation on the specimen surface to be obtained. A comparison between experimental data and numerical simulation results shows that the GTN well describes the ductile fracture behavior of the C(T) specimen from S355. The article by Spanos et al. (2020) [4] deals with the determination of the effective electrical and thermal conductivity of reinforced carbon nanotube (CNT) nanocomposites using a numerical percolation approach and Monte Carlo

中文翻译:

前言:“复杂”材料和工程应用的多尺度和多物理场建模

本卷是在罗马举行的第九届国际计算方法会议(ICCM2018)框架内组织的第 11 版特别研讨会“复杂材料的多尺度和多物理建模”的特刊,意大利,2018 年 8 月,Trovalusci 教授担任主席。研讨会的早期重点是弥合固体力学和材料科学之间的差距,为介绍具有复杂微观结构和复杂行为的材料机械建模的基础、理论、实验和实践方面提供一个论坛。在多位受邀和特约作者中,来自美国马里兰州巴尔的摩约翰霍普金斯大学的 Somnath Ghosh 教授进行了全体演讲;保罗·B·洛伦索,葡萄牙米尼奥大学;和 Siegfried Schmauder,来自德国斯图加特大学材料测试、材料科学和材料强度研究所 (IMWF)。所有这些讲师也为这个特刊做出了贡献。由于所吸引的贡献数量,该问题分为两卷。在全球范围内,整个问题收集了参加上述研讨会的特邀作者以及其他人的 15 篇文章。每篇论文都经过了标准的审查程序,只有获得至少两名国际裁判员积极推荐的论文才会被纳入。这些贡献提供了对提出的多尺度方法的调查,这些方法用于描述具有不同尺度(纳米/微米、中观、宏观)的各种内部结构的材料,从复合材料,形状记忆、类砖石材料,以及具有塑性、损伤、断裂和相变等复杂行为。大多数论文旨在检测从微电子到土木工程的各种工程应用中先进材料的结构性能。以下段落简要介绍了这些条款。Ghosh 和 Guo (2019) [1] 开发了耦合机电系统的有限元模型。瞬态动态模拟是通过考虑连续损伤关系来执行的,这是基于场的虚拟损伤传感器所需要的。通过与分析结果和商业软件的结果进行比较来验证代码。提出并根据通过数值解获得的数据校准基于电场的损伤指示函数。该函数将未损坏和损坏条件下的电场差与损坏参数、损坏率以及机械和压电材料特性相关联。虚拟损坏传感器用于检查可拉伸压电蛇形导体的损坏情况。Lourenço 和 Silva (2020) [2] 提出了一组用于砌体力学研究的高级模型,包括常用的微观建模方法、宏观建模和多尺度技术。提供了其计算特性的广泛概述。介绍了此类策略的工程应用,涵盖了从砌体构件级别(中尺度)到结构元素本身,最终到纪念性建筑(超大型)级别的问题。评估的结构安全评估和/或加固方案在静态、慢动态或地震和快速动态或冲击和爆炸范围内执行。浩云等。(2020) [3] 采用 3D 数字图像相关 (DIC) 系统研究结构钢 S355 的断裂行为。DIC 系统捕获侧面凹槽紧凑张力 [C(T)] 试样表面上的裂纹扩展和应变场变化。2D和3D Gurson-Tvergaard-Needleman(GTN)模型用于模拟试件的韧性断裂和稳定裂纹扩展区域的形状。DIC 技术允许获得试样表面上的应变变化和裂纹扩展。实验数据与数值模拟结果的比较表明,GTN 井描述了 S355 的 C(T) 试样的韧性断裂行为。Spanos 等人的文章。(2020) [4] 涉及使用数值渗流方法和蒙特卡罗测定增强型碳纳米管 (CNT) 纳米复合材料的有效电导率和热导率
更新日期:2020-01-01
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