Dr. Yang has practiced teaching and research broadly in structural engineering. He has taught Steel Design, Dynamic of Structures, and several others for the last 5 years. His research concentrates on impact and blast protection with advanced engineering materials, multi-scale modeling of composite and concrete materials, smart health monitoring in Civil Infrastructure, and self-healing concrete. His representative work included developing a systematic design method for impact barriers, a unified fatigue criterion for uniaxial Polyurethane E-Glass composite laminates, damage detection through guided wave, and a creep design methodology for Epoxy bonded anchor systems. Dr. Yang has participated in several state and national projects during his career, including “Effect of intermediate diaphragms on prestressed concrete bridge girders for over-height truck impacts” and “Testing of window connections specially designed for blast loading”. Dr. Yang also won several national and international awards, including the Philip E. Rollhaus, Jr. Roadway Safety Essay Contest held by Quixote in 2005, the faculty research award at the University of Texas at San Antonio in 2007, the ASCE travel award in 2005, and the ASCE Journal of Aerospace Engineering Outstanding Reviewer award in 2012. Dr. Yang is currently serving as the associate editor of Journal of Materials in Civil Engineering, ASCE, and has more than 100 publications, including journal papers, conference papers, and reports in the field of composites, structural testing and characterization.
Pore solution and its impact on durability of geopolymer concrete
Computer vision is widely adopted in literature to perform structural health monitoring. The core of computer vision technique is on image processing and its accuracy depends on the quality of input images. It is intuitive quality of input images may be affected by motions of camera induced by external factors such as wind. Direct usage of the images captured by camera would cause errors. A new method to filter the effect of camera motions through background templates is proposed here. Moreover, effect of template sizes and brightness on the accuracy of monitored displacement were analyzed and compared. Several experiments on MTS were performed with different frequencies and amplitudes to verify the method. The results show that filtering of vibrations of the camera significantly improves the displacement monitoring accuracy. Adopting scale factors for every frame and different position in each frame also helps improving accuracy of the monitored displacement. With the accurate displacement monitoring tool in hand, condition assessment of the structure can be conducted smoothly through the modified dynamic response method developed by the authors.