The objective of this project is to quantify the importance of various seismic risk factors on the structural system performance and on the design ground motion selection. To accomplish this goal, a probabilistic, simulation-based, modeling framework and computationally efficient approaches are being developed, based on stochastic sampling, for quantifying the influence of the uncertain seismic model characteristics on structural performance.

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The objective of this project is to establish an efficient, computational framework for evaluation of hurricane risk for the Hawaiian islands by combining high-fidelity models and approximate response surface methodologies.  A further objective is to develop a standalone prediction tool, that can be used by emergency response managers, the National Weather Service and the Pacific Disaster Center, to estimate hurricane risk during an incoming hurricane event and use this information for emergency decision making.   

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The objective of this project is to mitigate socio-economic losses due to collapse of steel building systems when subjected to extreme earthquake events. This goal will be achieved through development of multi-scale computational simulation models that will provide a virtual platform for realistic simulation of collapse response of steel building systems. These novel physics-based multi-scale models will be used to characterize collapse behavior of building systems subjected to extreme seismic events including understanding of the characteristics of the seismic excitation that contribute to collapse vulnerability.

The objective of this project is to provide a new paradigm for sustainable and hazard resilient reconstruction of residential houses in Haiti with focus on families at the bottom of the economic pyramid.

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Every year, thousands of lives are lost around the world as communities are devastated by natural disasters; in our increasingly interconnected society, the effects of these events can ripple regionally and even globally. Particularly, in the case of hurricanes, the risk of future disasters continues to escalate with population shifts toward coastal areas and increased hurricane intensity, size, and frequency due to climate change and Atlantic Multidecadal Oscillations. This collaboratory in this project synergizes research activities related to the quantification of hazards and impacts associated with hurricanes, not only at NotreDame, but at leading institutions nationwide, maximizing the impacts of this effort on society by pooling resources in an unprecedented fashion. By establishing an accessible and scalable cyberinfrastructure, diverse stakeholders, with expertise on modeling, risk assessment, and computational science, will be engaged to realize an integrated computational platform far more powerful than the sum of its parts. The ultimate goal is to enhance the resilience of our community against hurricane hazards.