Structural Health Monitoring (SHM) Research

This research aims at monitoring the behavior of structures (e.g. bridges, buildings, pipelines and etc.) while they are in service. Installing sensors on a structure, useful information is acquired which will help us to detect damages scenarios early before they become perilous to the structure. "Smart Structures" that are able to sense any changes in their behavior and environment are introduced by using effective SHM systems. Since the average age of infrastructure in U.S. is more than forty years, this research has gained enormous attention in recent years.

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Lower Rio Grande Dynamic Channel Routing

Dr. Jungseok Ho and his student research team conduct research in dynamic channel modeling of the Lower Rio Grande from Penitas to Brownsville. The Lower Rio Grande (LRG) Valley has been issued flood events annually. The tropical weather and geometrical characteristics of the flat watershed near the Gulf of Mexico produce frequent flooding in the area. The Lower Rio Grande Flood Control Project, operated by the International Boundary & Water Commission (IBWC), is the main flood control strategy. The purpose of this study is to evaluate the hydraulic performance of the previously developed channel routing model by IBWC Rio Grande and Flood ways model using available water surface elevation data along the LRG during historically maximum flow conditions.

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