Introduction to Non-Deterministic Approaches
This course is organized and taught by distinguished subject matter experts from the AIAA Non-Deterministic Approaches Technical Committee.
The instructors include:
Ben H. Thacker – Director, Materials Engineering Department, Southwest Research Institute in San Antonio, Texas (Ph.D. Civil Engineering, University of Texas at Austin, P.E., M. AIAA). Dr. Thacker’s areas of interest include computational mechanics, structural reliability, and computer methods development. He has been heavily involved in the development and application of probabilistic methods for over 16 years and has applied probabilistic methods to geo-mechanics, biomechanics, and other transient non-linear problems. He is an active member of the AIAA Structures Technical Committee and the ASME Standards Committee on Verification and Validation. Dr. Thacker has instructed at the “Probabilistic Analysis and Design: Computational Methods and Applications” annual short course at the Southwest Research Institute for over 20 years.
Michael P. Enright – Principal Engineer, Materials Engineering Department, Southwest Research Institute in San Antonio, Texas (Ph.D. Structural Engineering, University of Colorado at Boulder). Dr. Enright’s focus is on reliability-based life prediction of deteriorating structural and mechanical systems. His technical interests concentrate on probabilistic fatigue and fracture, and time-dependent system reliability. He is an active member of AIAA Non-Deterministic Approaches Committee and Structure Committee, and ASME Structures and Dynamics Committee. Dr. Enright has instructed at the “Probabilistic Analysis and Design: Computational Methods and Applications” annual short course at the Southwest Research Institute.
Sankaran Mahadevan – Professor of Civil & Environmental Engineering, Professor of Mechanical Engineering, Vanderbilt University (Ph.D Civil, Georgia Institute of Technology, 1988, M. AIAA). Professor Sankaran Mahadevan has over 18 years of research and teaching experience in risk and reliability engineering methods. His research contributions cover both basic and applied research topics. In basic research, he has made strong contributions to analytical and simulation-based reliability methods, reliability-based optimization, and model validation under uncertainty. He has applied these methods to civil structures, composite materials, automotive quality, aging aircraft, aging electronics, engines, and railroad wheels. His research has been funded by NASA, NSF, U.S. Army Research Office, U.S. Air Force, U.S. Army Corps of Engineers, Federal Highway Administration, General Motors, DaimlerChrysler, Union Pacific, and Sandia, Idaho and Oak Ridge National Laboratories. His research is documented in more than 200 technical publications, including 60 peer-reviewed journal articles.
Ramana V. Grandhi – Distinguished Professor, Dept. of Mechanical and Materials Engineering, Wright State University in Dayton, OH (Ph.D. Mechanical Engineering, Virginia Polytechnic Institute and State University, 1984). Dr. Grandhi’s expertise is in the fields of uncertainty quantification and multidisciplinary design and optimization, and he has been awarded numerous research contracts with the US Navy, US Air Force, NASA, and many industrial sponsors. He has nearly thirty years’ experience in the field of mechanical and materials engineering. He is a past General Chairman of the AIAA/NASA/USAF/ISSMO Multidisciplinary Analysis and Optimization Conference, and he was named an AIAA Fellow in May, 2005.