Concurrent Multiphysics Modeling of Bio-Inspired Functional Materials

仿生功能材料的并行多物理建模研究目标和方法。功能材料是一种新型的现代材料体系，它是通过一些特殊的传感、驱动、适应和自我恢复能力来对特定的外界条件做出智能反应而发展起来的。许多机会都受到生物世界的启发，导致了一系列用于医疗应用的自我修复材料和先进的植入材料。这些材料的特殊性能归因于它们的力学性能和内部动力学过程之间复杂的相互作用，传统方法分析这些过程是不相关的。该项目的目标是开发新的多物理方法，足以用于此类材料的基于计算机的设计和预测。基本方法是在一个并行计算框架内将具有动态内部结构的材料的弹性力学和动力学描述结合在一起。这项研究工作将为材料科学家和工程师提供宝贵的数值工具，并利用UIC的各种教育和少数族裔项目，UIC是美国最多元化的城市大学之一。社会福利。仿生材料的研究将对社会产生巨大的积极影响，为各种工业、军事和航空航天应用提供更高质量和更可靠的材料。由于美国有20%的人口拥有医用植入物，可吸收植入物材料的适当计算机建模和表征问题肯定有助于提高健康标准和医疗服务质量。因此，基于模拟的新型工具作为本项目的成果，将在不久的将来为自愈和可吸收种植材料的发展提供强大的动力。

Concurrent Multiphysics Modeling of Bio-Inspired Functional MaterialsResearch objectives and approaches. Functional materials is a new class of modern material systems, which are developed to have an intelligent action in response to specific external conditions via some special sensing, actuating, adapting and self-recovering capabilities. Many opportunities are inspired by the biological world leading to a range of self-healing materials and advanced implant materials for medical applications. Special properties of these materials owe to the complex interplay between their mechanical properties and internal kinetic processes, whose analysis by traditional methods is irrelevant. The project's objective is to develop novel multiphysics methods, adequate for the computer-based design and prediction of properties of such materials. The basic approach consists in bringing together the elastomechanic and kinetic descriptions of materials with dynamic internal structure within a concurrent computational framework. This research work will provide valuable numerical tools to material scientists and engineers, and also leverage various educational and minority programs at the UIC, one of the most diverse urban universities in the United States. Societal benefits. Bio-inspired materials research will make a great positive impact to the society via higher quality and more reliable materials for a variety of industrial, military and aerospace applications. With 20% of the US population having medical implants, issues of the adequate computer modeling and characterization of resorbable implant materials will surely help to improve the health standards, and quality of medical services. Therefore, the novel simulation-based tools, as the out-come this project, will provide a powerful impetus to the development of self-healing and resorbable implant materials in the near future.