Major Goals and Objectives

During the given one-year research period, I plan to develop a data-driven model integrating the physical model of infrastructure vulnerable to hazard and artificial intelligence machine learning algorithms to offer precautions and suggestions to resist natural hazards and enhance infrastructure flood resilience for the southern Lake Michigan communities. The proposed research targets to provide coastal communities with on-time and accessible suggestions to resist flooding attacks, support coastal industrial development without interference, give organizations reasonable, efficient recommendations to minimize the flooding impact on infrastructure, and offer the government customized design advice for infrastructure in the southern Lake Michigan region. Most importantly, this research will call public attention to the resilience of coastal communities and infrastructure.

Accomplishments / Benefits

Story: Meet our Grad Student Scholars: Junyi Duan

Publication: Enhancing Bridge Infrastructure Flood Resilience through Fluid-Structure Interaction Modeling 

Publication: Computational Investigation of the Flood Impact on Bridge Infrastructure in the Great Lakes Region

Publication: Improving Flood Resilience of Bridge Infrastructure through Fluid, Structural, and Risk Modeling

Publication: Machine Learning-Based Risk Analysis for Infrastructure Vulnerable to Flood Hazards