Versatile Modeling of Smart Materials Performance in Infrastructure Applications via Distributed Hysterons

建议开展一项研究计划，重点关注智能材料的非弹性行为，因为它们适用于各种结构系统，如建筑物和桥梁，这些系统是国家基础设施的组成部分。 应特别注意由交通、地震和强风引起的荷载。 强大的计算模型将补充从各种实验程序中获得的数据。 基础设施系统的非弹性行为将通过考虑具有适当的振动固有频率和阻尼系数（能量耗散）的辅助线性系统来捕获。 在这方面，现代技术，允许在时域和频域的信号的联合表示将被用来捕捉结构响应的主要物理属性。拟议的研究计划的更广泛的影响将是相当重要的，因为首席研究员将继续是一个催化剂/参与者的多样性增强举措集中在K到12机构，HBU（Historical Black Universities） 在这方面，拟议研究的结果将有助于通过改进设计程序，最大限度地减少与地震和飓风有关的自然灾害给社会带来的风险。 此外，一些预期的新研究成果将与K到12和本科生分享，以创造对这些动态社区的兴趣，以应对与基础设施相关的社会挑战，以及缓解这些挑战的可用技术资产。

It is proposed to conduct a research program focusing on the inelastic behavior of smart materials as they apply to a variety of structural systems such as buildings and bridges which are an integral part of the infrastructure of the nation. Particular attention would be given to loads which are induced by traffic, earthquakes, and extreme winds. Powerful computational models would be supplemented with data which are available from various experimental programs. The inelastic behavior of the infrastructure systems will be captured by considering auxiliary linear systems which possess appropriate natural frequencies of vibration, and coefficients of damping (energy dissipation). In this regard, modern techniques which allow a joint representation of signals both in the time and frequency domains will be used to capture the prevailing physical attributes of the structural responses.The broader impact of the proposed research program will be quite significant as the principal investigator will continue to be a catalyst of/participant in diversity enhancing initiatives focusing on K to 12 institutions, and HBU (Historical Black Universities). In this regard the findings of the proposed research would be beneficial to minimizing, by improved design procedures, the risk of the society from natural disasters associated with earthquakes and hurricanes. Furthermore, some of the expected new research findings will be shared with K to 12 and undergraduate students towards creating interest in these dynamic communities for infrastructure related societal challenges, and the available technological assets for mitigating them.