A Framework for Microstructural Design Using Bayesian Classifiers

该研究项目的目标是创建一个框架，并推进相关的理论，在微观结构水平的材料设计。 拟议的工作是重要的，因为它将使材料科学家获得微观结构的表征，大大超出了统计措施。 此外，通过将计算学习理论纳入决策理论环境，材料科学和微观力学观点的知识可以有效地纳入材料设计过程。 该设计方法的理论基础是通用的，并且可以很好地应用于不直接涉及微观结构的设计问题。 贝叶斯分类器，主要是为图像分析问题，将被用来评估候选微结构的微观力学响应，而无需耗时，高保真度的力学分析。 通过将分类过程重新铸造到决策理论的框架中，我们将该技术从纯粹的评价性技术转变为可以用作改进微结构设计的关键设计优化方案的一部分的技术。这项研究将加强材料科学和部件设计之间的联系，从而使用更少的材料资源获得更高性能的材料，并为消费者提供更安全和更耐用的设计。这项研究将为工程研究生提供材料设计和分析新策略的培训。 通过巴尔的摩城市学校的“不受干扰项目”，该项目还将向代表性不足的高中生提供工程研究方面的经验。

The objective of this research project is to create a framework, and to advance the associated theory, for design of materials at the microstructural level. The proposed work is significant because it will enable materials scientists to derive characterizations of microstructure that go substantially beyond statistical measures. Furthermore, by incorporating computational learning theory into a decision-theoretic setting, knowledge from the materials science and micromechanics viewpoints can be effectively incorporated into the materials design process. The theoretical foundation of the design method is general, and may well find application to design problems not directly involving microstructure. Bayesian classifiers, developed primarily for image analysis problems, will be used to evaluate the micromechanical response of candidate microstructures without time consuming, high fidelity mechanics analyses. By recasting the classification procedure into the framework of decision theory we transform the technique from one that is purely evaluative to one which can be used as part of the design optimization scheme critical to improved microstructural design. The proposed research will strengthen the link between materials science and component design, leading to higher performing materials using less materials resources, and safer and more durable designs with direct benefits for the consumer.The proposed work will provide training for engineering graduate students in novel strategies for design and analysis of materials. Through the Ingenuity Project of the Baltimore City Schools the project will also provide experience in engineering research to under-represented high school students.