The primary goal of this proposal is to develop different Machine Learning (ML) algorithms for the rapid identification of damage in bridge structures using the bridge’s dynamic response during regular service operation.
From addressing the challenges posed by COVID-19 to maintaining our roads, bridges, and other critical infrastructure in the region, take a look at some of the recent highlights from researchers at Rutgers Center for Advanced infrastructure and Transportation (CAIT) as we head into the new year and close out 2021.
The primary goal of this proposal is to perform extensive overview of the state-of-the-art technologies for structural health monitoring of tunnels. Such an overview aspires to serve as a source of information and basis on decision making for practitioners and asset managers, who are interested in instrumenting the tunnels.
This project is to acquire a new terrestrial laser scanner - Faro Focus S350 to enable new research studies in digital twining of the built infrastructure to support mitigation of flood threats to critical transit stations and and evaluation of disinfection methods for transportation facilities.
The primary goal of this proposal is to evaluate a state of the art technology in roadway profiling called Zero Speed Profiling. A more realistic and comprehensive pavement surface assessment will result in better decisions regarding how to preserve or rehabilitate the pavement.
Amid restrictions from the COVID-19 pandemic affecting the region, researchers at the Rutgers Center for Advanced Infrastructure and Transportation have still been able to conduct important work and take on new challenges in transportation—highlighted by recent media coverage and virtual events.