Implementation of Evaluating Bridge Behavior Using Ultra-High-Resolution Next-Generation Digital Image Correlation (DIC): Applications in Bridge Inspection and Damage Assessment, Final Report [Project Title from Cover]

5-6950-01The Civil Infrastructure Vision (CIV) system is an integrated software/hardware system is based on principles of Digital Image Correlation (DIC) developed at UTSA for TxDOT. The system can be used to monitor surface deformations on bridges to accuracies on the order of 1/1,000th in. Project objectives included training DOT on using the system during load testing and processing the resulting deformation data. Ten bridges were load tested over a period of one year using CIV. Throughout this project, procedural improvements were made to accelerate load testing and minimize traffic disruptions. In the end, the team was able to complete the full process, from arriving to a site through finishing repacking equipment, in less than two hours. This allowed up to three load tests in one day; a much faster process than using traditional instruments, with which a load test could take several days and require direct access to a bridge underside

When and Where Are Dedicated Lanes Needed under Mixed Traffic of Automated and Non-automated Vehicles for Optimal System Level Benefits?

Automated vehicle (AV) technology is rapidly moving towards reality and will be mature within the next decade. However, the physical, institutional, and legal infrastructure for enabling widespread adoption of this technology is still lagging significantly. The focus of this research is on developing a decision framework for optimal upgrading of the road network for mixed AV and conventional (NAV) traffic. Given that AVs will undoubtedly share a large segment of the current road network with conventional traffic for the foreseeable future, how the network can be retrofitted to optimize the flow of all traffic is a critical issue. Of interest are questions regarding when and where the provision of dedicated lanes for AVs can offer benefits for all traffic, and at what level of AV adoption this investment becomes cost-effective. Answers to these questions are critical for planning the future transportation system. We use the term autonomous vehicle to indicate that they can not only drive without human interference using sensing technology but can also communicate with other vehicles and road infrastructure. While the technology is progressing rapidly, planning infrastructure investments and enhancements to optimally harness the benefits of AV technology capabilities merits serious attention. Specifically, the use of dedicated lanes to accommodate AVs so that they may platoon is an important consideration from a policy as well as planning perspective. The proposed study investigates this issue to determine when and where dedicated AV lanes would provide the maximum benefit to all traffic and make such infrastructure investments cost effective

University of Texas at San Antonio Graduate Catalog, 2007-2009

Graduate catalog of the University of Texas at San Antonio

University of Texas at San Antonio Highlights brochure, 1995

Student brochure of the University of Texas at San Antonio, 1995

University of Texas at San Antonio Graduate Catalog, 2005-2007

Graduate catalog of the University of Texas at San Antonio

University of Texas at San Antonio Undergraduate Catalog, 1975-1976

University of Texas at San Antonio Undergraduate catalog, 1975-197

University of Texas at San Antonio Addenda to the 2010‐2012 UTSA Undergraduate Catalog

Undergraduate catalog of the University of Texas at San Antonio

Addendum to the Self-Study Report for Reaffirmation of Accreditation by The Southern Association of Colleges and Schools April, 1990 .

Addendum to the University of Texas at San Antonio self-study report submitted to the Southern Association of Colleges and Schools (SACS) for reaffirmation of accreditation

University of Texas at San Antonio Departmental Directory, 1992-1993

Departmental directory of the University of Texas at San Antonio, 1992-1993

UTSA Faculty Handbook

University of Texas at San Antonio employment handbook for faculty