Making Civil Engineering “Smart”
Much of the nation’s civil engineering infrastructure is approaching or has exceed its intended design life. Efforts to streamline efficiency in transportation and energy have increased demands on these aging structures.
This talk will discuss the dilemmas of monitoring civil engineering infrastructure and outline the solutions we are identifying at SMU. We will focus on the development of an interdisciplinary framework for
sensor-driven autonomous structural impairment detection. Specific research efforts include the autonomous remote monitoring of transit systems, development of multi-platform sensing techniques for field inspection of bridges and overpasses, and creation of pattern recognition algorithms which can process both quantitative and qualitative data streams that wirelessly relay information on a structure’s health and safety. These efforts are combined so that instrumentation protocol and computational algorithms can efficiently emulate (and enhance) an experienced human inspector’s ability to perform critical structural evaluations.
Dr. Brett Story serves as an assistant professor in the Department of Civil and Environmental Engineering at SMU’s Lyle School of Engineering. His research area is structural engineering and his interests include: finite element analysis, experimental sensing methods and knowledge engineering algorithms for structural impairment detection. Dr. Story’s passion for teaching and research centers on educating and challenging students to explore and master concepts of problem solving as related to applied engineering problems. Students working with Dr. Story engage in interdisciplinary research efforts in fields ranging from civil and electrical engineering to archeology.
Dr. Story received his B.S., M.S., and Ph.D. in civil engineering from Texas