Ultrascalable Modelling of Advanced Materials with Complex Architectures

具有复杂架构的先进材料的超可扩展建模

• 批准号: EP/D037867/1
• 负责人: Paul Mummery
• 金额: $ 37.66万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD037867%2F1
• 关键词: Ultrascalable; Modelling; Advanced; Materials; Complex

Technological advances in power generation and transport systems are currently materials limited. Ideal materials are not available for use in the increasingly extreme environments (high temperatures, high thermal fluxes, pressures, irradiation damage, fatigue etc) these novel designs require. Many of the current suggested solutions to these problems are composites. However, the combination of two or more physically distinct phases with different constituent material properties to form a single material is fraught with fabrication and modelling difficulties.There is considerable interest in the reliable prediction of the bulk properties of composite materials based on the properties of the constituent materials and the microstructural morphology as this clearly enables novel materials to be designed with specified requirements (e.g. toughness, stiffness). Coupled with rapid prototyping and greater control of composite fabrication processes, this could deliver a new generation of high performance materials. High resolution imaging in 3-D such as x-ray microtomography (XMT), the materials science equivalent of medical CAT scans, can now probe at the sub-micron scale and coupled with numerical solvers could in principle provide turnkey solutions for modelling physical processes. However there are two main technical hurdles to the adoption of image based analysis: (1) robustly and accurately converting the 3-D data into computational meshes suitable for solvers; and (2) the size of computational problem required to study domains at suitable resolutions and size to bridge the micro to macro length scales such that the volumes modelled are representative of the bulk of the material. Both of these problems will be addressed within the project by combining and further developing state of the art techniques developed by the applicants for solving large scale problems (novel iterative solvers) and for meshing from 3-D images.In order to provide corroboration for the solution techniques to be developed and implemented, two problems with which some of the applicants have experience and which typify a very broad range of industrially and biologically important structures will be considered: ceramic matrix composites and open-celled foams. Both structural and thermal properties will be explored. These materials are exemplars as they represent two different challenges to the computational approach: the composite has a multiphase complex architecture; the foam undergoes very large strain deformation followed by element contact and strain localisation. These challenges are common to a wide range of materials.This ambitious project addresses three intimately linked problems that require the combination of skills contained within the team whose solutions will have far reaching application in computing, and materials engineering, namely: predicting behaviour of materials with complex architectures; parallel simulation of problems with large strains and contacts; and efficient algorithms for remeshing deformable media.

发电和运输系统的技术进步目前是材料有限的。这些新型设计所需的理想材料不适用于日益极高的环境（高温，高热通量，压力，辐射损伤，疲劳等）。这些问题的许多当前建议解决方案是复合材料。但是，两个或更多物理上不同的阶段具有不同的组成材料特性，形成单一材料的结合充满了制造和建模困难。基于基于复合材料的块状特性的可靠预测，基于该特性的可靠性预测，具有相当大的兴趣。组成材料和微观结构形态显然可以使新材料具有指定要求（例如韧性，刚度）。再加上快速的原型制作和对复合制造工艺的更大控制，这可以提供新一代的高性能材料。高分辨率成像在3-D中，例如X射线显微图像学（XMT），材料科学相当于医学猫扫描，现在可以在子微米量表上进行探测，并与数值求解器相结合，原则上可以提供对物理过程进行建模的交钥匙解决方案。但是，采用基于图像的分析有两个主要的技术障碍：（1）将3-D数据坚固，准确地将3-D数据转换为适合求解器的计算网格； （2）在适当的分辨率和大小上研究微小长度尺度的计算问题的大小，以使建模的体积代表了大部分材料的代表。这两个问题都将在项目中通过结合和进一步发展，并进一步发展申请人为解决大规模问题（新颖的迭代求解器）开发的最新技术和从3-D图像进行网格划分。将要开发和实施的解决方案技术，其中一些申请人具有经验，这些问题将考虑到非常广泛的工业和生物学上重要的结构：陶瓷基质复合材料和开放式泡沫。将探索结构和热性能。这些材料是典范，因为它们代表了计算方法的两个不同的挑战：复合材料具有多相复杂的体系结构。泡沫经历了非常大的应变变形，然后进行元素接触和应变定位。这些挑战对于各种材料都是普遍的。该雄心勃勃的项目解决了三个紧密相关的问题，这些问题需要团队中包含的技能组合，这些技能将在计算机和材料工程中具有很大的应用程序，即：将材料的行为与材料行为一起使用复杂的体系结构；平行模拟大型应变和接触的问题；和有效的算法，用于可重新畸形的介质。

项目成果

New Materials for Extreme Environments

适用于极端环境的新材料

• DOI: 10.4028/3-908454-01-8.116
• 发表时间: 2008
• 作者: Ali J

Investigating predictive capabilities of image-based modeling for woven composites in a scalable computing environment

在可扩展的计算环境中研究编织复合材料基于图像的建模的预测能力

• 发表时间: 2008
• 期刊: Materials Science and Technology Conference and Exhibition, MS and T'08
• 作者: Farooqi J.

Comparative study of predictive FE methods for mechanical properties of nuclear composites

• DOI: 10.1016/j.jnucmat.2008.09.020
• 发表时间: 2009
• 期刊: Journal of Nuclear Materials
• 影响因子: 3.1
• 作者: Joshim Ali;J. Farooqi;D. Buckthorpe;A. Cheyne;P. Mummery

Two-dimensional X-ray CT image based meso-scale fracture modelling of concrete

• DOI: 10.1016/j.engfracmech.2014.10.016
• 发表时间: 2015-01-01
• 期刊: ENGINEERING FRACTURE MECHANICS
• 影响因子: 5.4
• 作者: Ren, Wenyuan;Yang, Zhenjun;Withers, Philip J.
• 通讯作者: Withers, Philip J.

Application of a micromechanics model to the overall properties of heterogeneous graphite

微观力学模型在异质石墨整体性能中的应用

• DOI: 10.1016/j.jnucmat.2008.07.015
• 发表时间: 2008
• 期刊: Journal of Nuclear Materials
• 影响因子: 3.1
• 作者: Berre C