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

通过分布式迟滞对基础设施应用中的智能材料性能进行多功能建模

• 批准号: 0758351
• 负责人: Pol Spanos
• 金额: --
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-05-01 至 2012-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0758351&HistoricalAwards=false
• 关键词: Versatile; Modeling; Smart; Materials; Performance

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.

建议开展一项研究计划，重点研究智能材料的非弹性行为，因为它们适用于各种结构系统，如建筑和桥梁，这些结构系统是国家基础设施的组成部分。应特别注意由交通、地震和极端大风引起的荷载。强大的计算模型将得到来自各种实验项目的数据的补充。基础设施系统的非弹性行为将通过考虑具有合适的固有振动频率和阻尼系数(能量耗散)的辅助线性系统来捕捉。在这方面，允许信号在时间域和频率域中的联合表示的现代技术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显著的，因为主要研究人员将继续是关注K到12机构和HBU(历史黑人大学)的多样性增强倡议的催化剂/参与者。在这方面，拟议研究的结果将有助于通过改进设计程序，最大限度地减少社会遭受与地震和飓风有关的自然灾害的风险。此外，一些预期的新研究成果将与K-12和本科生分享，以创造对这些与基础设施相关的社会挑战的动态社区的兴趣，以及缓解这些挑战的可用技术资产。