Concurrent Multiphysics Modeling of Bio-Inspired Functional Materials

生物功能材料的并行多物理场建模研究目标和方法。功能材料是一类新型的现代材料系统，它通过特殊的传感、驱动、适应和自恢复能力，对特定的外界条件作出智能反应。许多机会受到生物世界的启发，导致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是由于它们的力学性能和内部动力学过程之间的复杂相互作用，用传统的方法分析是无关紧要的。该项目的目标是开发新的多物理场方法，适用于基于计算机的设计和预测此类材料的性能。基本的方法包括在一个并行计算框架内的动态内部结构的材料的力学和动力学的描述。这项研究工作将为材料科学家和工程师提供有价值的数值工具，并利用UIC的各种教育和少数民族项目，UIC是美国最多样化的城市大学之一。 社会福利。生物启发材料的研究将通过更高质量和更可靠的材料为各种工业，军事和航空航天应用对社会产生巨大的积极影响。由于20%的美国人口拥有医疗植入物，可吸收植入物材料的充分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，作为本项目成果的新型模拟工具，将在不久的将来为自愈合和可吸收植入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.