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
基本信息
- 批准号:EP/D037913/1
- 负责人:
- 金额:$ 17.7万
- 依托单位:
- 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:
- 关键词:
项目摘要
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受到材料的限制。在这些新设计要求的日益极端的环境(高温、高热通量、压力、辐照损伤、疲劳等)中,理想的材料是不可用的。目前针对这些问题提出的许多解决方案都是复合的。然而,将两种或两种以上具有不同组成材料特性的物理上不同的相结合形成单一材料充满了制造和建模的困难。基于组成材料的性能和微观结构形态,对复合材料的整体性能进行可靠的预测是相当有兴趣的,因为这显然可以使新材料设计具有特定的要求(例如韧性,刚度)。再加上快速成型和对复合材料制造过程的更好控制,这可以提供新一代高性能材料。高分辨率的三维成像,如x射线微断层扫描(XMT),相当于医学CAT扫描的材料科学,现在可以在亚微米尺度上进行探测,并且与数值求解器相结合,原则上可以为物理过程建模提供交钥匙解决方案。然而,采用基于图像的分析存在两个主要的技术障碍:(1)稳健、准确地将三维数据转换为适合求解器的计算网格;(2)以合适的分辨率和尺寸研究域所需的计算问题的大小,以桥接微观到宏观的长度尺度,使模拟的体积代表材料的主体。这两个问题都将在项目中通过结合和进一步发展由申请人开发的解决大规模问题(新颖的迭代求解器)和3d图像网格划分的最先进技术来解决。为了对即将开发和实施的解决方案技术提供佐证,将考虑两个问题,这些问题是一些申请人有经验的,并且是工业和生物学上非常重要的结构的典型:陶瓷基复合材料和开孔泡沫。结构和热性能都将被探索。这些材料是典型的例子,因为它们代表了计算方法的两种不同挑战:复合材料具有多相复杂结构;泡沫经历了非常大的应变变形,然后是单元接触和应变局部化。这些挑战是广泛的材料共同的。这个雄心勃勃的项目解决了三个密切相关的问题,这些问题需要团队内部的技能组合,其解决方案将在计算和材料工程中具有深远的应用,即:预测具有复杂结构的材料的行为;大应变大接触问题的并行模拟以及用于重新划分可变形介质的有效算法。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Three-dimensional imaging techniques for material characterisation
用于材料表征的三维成像技术
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:Xuan, V.B.
- 通讯作者:Xuan, V.B.
Generation of finite element models from CT/MRI data
从 CT/MRI 数据生成有限元模型
- DOI:
- 发表时间:2008
- 期刊:
- 影响因子:0
- 作者:N/a Young
- 通讯作者:N/a Young
Mesh Construction from Medical Imaging for Multiphysics Simulation: Heat Transfer and Fluid Flow in Complex Geometries
用于多物理场仿真的医学成像网格构建:复杂几何形状中的传热和流体流动
- DOI:10.1080/19942060.2007.11015187
- 发表时间:2014
- 期刊:
- 影响因子:6.1
- 作者:Tabor G
- 通讯作者:Tabor G
An efficient approach to converting three-dimensional image data into highly accurate computational models
- DOI:10.1098/rsta.2008.0090
- 发表时间:2008-09
- 期刊:
- 影响因子:0
- 作者:P. Young;T. Beresford-West;S. Coward;B. Notarberardino;B. Walker;A. Abdul-Aziz
- 通讯作者:P. Young;T. Beresford-West;S. Coward;B. Notarberardino;B. Walker;A. Abdul-Aziz
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Philippe Young其他文献
Simulation of the mechanical properties of an aluminum matrix composite using X-ray microtomography
使用 X 射线显微断层扫描模拟铝基复合材料的机械性能
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
I. Watson;Peter D. Lee;R. Dashwood;Philippe Young - 通讯作者:
Philippe Young
CONVERTING PATIENT-SPECIFIC SCANS INTO HIGHLY ACCURATE COMPUTATIONAL MODELS
- DOI:
10.1016/s0021-9290(08)70498-6 - 发表时间:
2008-07-01 - 期刊:
- 影响因子:
- 作者:
Rajab Said;Daniel Thomas;Richard Curtis;Philippe Young - 通讯作者:
Philippe Young
Philippe Young的其他文献
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{{ truncateString('Philippe Young', 18)}}的其他基金
Micro-Mechanical Interpretation of Moisture Induced Damage in Asphalt
沥青中水分引起的损伤的微观机械解释
- 批准号:
EP/I038330/1 - 财政年份:2012
- 资助金额:
$ 17.7万 - 项目类别:
Research Grant
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