Earthquake of hazard and risk for earthquake and wind events

结构和基础设施的安全性和可靠性对每个人和社会都很重要。可靠度的估计必须基于概率框架，通过考虑大地震和强风事件的发生，使用荷载，材料和几何变量的不确定性。虽然在文献中有许多研究可用于估计结构可靠性，但对本提案中要调查的一些重要方面的关注是不存在的。 拟议的研究计划将：（i）通过考虑材料和几何非线性以及扭转效应，开发方法来估计建筑物在多方向相关地震激励下的可靠性;（ii）开发飓风和高强度风事件引起的危害和风险等高线图（即，（iii）提供一个框架，以评估城市地区建筑群在时空相关的风灾害和地震灾害下的风险，并开发一个决策支持系统，以减少预期损失和管理基础设施系统。 实施将以地理信息系统为基础，并将通过两个选定的城市地区的原型来说明其应用。 该建议的新颖之处包括定量风险评估的结构或空间分布的基础设施系统下的时空变化的风和地震激励，并纳入先进的决策理论下的不确定性。 它的使用可以帮助准备，减轻和恢复灾难性的自然损失，其结果也可以用来制定标准，以风险为基础的目标导向的编码设计。 该研究计划所需的资金将用于支持12个项目，并培训12名研究生，他们将为社会减少自然灾害造成的损失，建立和维护一个有弹性的社会做出贡献。

Safety and reliability of structures and infrastructure are important to each individual and society. The reliability must be estimated based on probabilistic framework by considering the uncertainty in the occurrence of large earthquake and strong wind events, the service load, and the material and geometric variables. Although many studies are available in the literature for estimating structural reliability, attention towards some of the important aspects that are to be investigated in this proposal is non-existent. The proposed research program will: (i) develop methodology to estimate the reliability of buildings under multi-directional correlated earthquake excitations by considering material and geometric nonlinearity and torsional effects; (ii) develop hazard and risk contour maps caused by hurricane and high intensity wind events (i.e., tornados and downbursts), which can be directly used by emergency preparedness agency and wind energy industry; (iii) provide framework to assess the risk of group of buildings in an urban area under spatio-temporal correlated wind hazard and earthquake hazard, and develop a decision support system for reducing expected losses and managing infrastructure systems. The implementation will be based on geographic information system and its application will be illustrated through prototypes for two selected urban areas. The novelties of the proposal include the quantitative risk assessment of groups of structures or spatially distributed infrastructure systems under spatio-temporally varying wind and seismic excitations, and incorporation of advanced decision theory under uncertainty. Its use can help to prepare for, and to mitigate and recover from catastrophic natural loss; its results can also be used to develop criteria for risk-based objective-oriented codified design. The funding requested for the research program is to be use to support 12 projects and train 12 graduate students who will contribute to the society's effort in reducing the loss resulting from natural disaster, and building and maintaining a resilient society.