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Abstract: Structural control and health monitoring schemes play key roles not only in enhancing the safety and the reliability of infrastructure systems, but also to optimally minimize the life cycle cost and maximize the performance through the full life cycle design under natural disasters. In this paper, an effective strategy is proposed to identify general hysteretic behavior of a typical shear structure subjected to external excitations. First, the characteristics of the early version of Bouc-Wen-Baber-Noori (BWBN) model and its parametric physical implications are presented using a single degree of system. BWBN model was developed in the 1980’s and given its versatility and mathematical tractability, as well as its capability in reproducing a large number of nonlinear hysteretic behaviors, over the past decade it has received significant attention of the research community in nonlinear mechanics and hysteretically degrading systems. Subsequently, a time varying shear structure system with BWBN restoring force characteristics is presented for different case studies. By incorporating a “Grey Box” strategy, an Intelligent Parameter Varying (IPV), an Artificial Neural Network (ANN) technique developed by the authors, is introduced to identify the hysteretic behavior of the generalized hysteresis structure using system identification modeling approach. Genetic algorithm (GA) and Transitional Markov Chain Monte Carlo (TMCMC) based Bayesian Updating framework are also developed to identify this hysteretic structural system. Correlation analysis and algorithm efficiency are further studied to compare and evaluate the system identification results.  It is demonstrated that IPV method is a viable and effective tool for the system identification of highly nonlinear systems and offers promising opportunities for SHM applications.

Bio: Mohammad Noori holds a BS from the University of Illinois (1977), a MS from Oklahoma State University (1980), and a Ph.D. from the University of Virginia (1984), all of which are in Civil Engineering with a concentration in Engineering Mechanics.  Noori has supervised over 85keynotee postdoctoral and graduate research projects, has given over 120 keynote and invited lectures, and along with his co-authors, has published over 250 journal and conference proceeding papers.  He is the founding executive editor of the International Journal of Sustainable Materials and Structural Systems, and he has served in various other editorial roles for a number of scientific journals. Noori has been a member of several NSF delegation teams for US-Japan and US-China Cooperative Research programs and was the founding chair of the ASME Uncertainty and Probabilistics Committee. In 2014, Noori served as the Director of the Sensors Program in the CMMI Division at NSF. Noori worked at WPI from 1984 to 1999 where he served as the J.W. Higgins Professor and the Head of the Mechanical Engineering department.  From 1999 to 2005, Noori worked at NC State University as a Reynolds Professor and the Head of the Mechanical and Aerospace Engineering department. Noori has received over $13 million in support of his research from NSF, ONR, NASA, National Sea Grant and industry (excluding the NIA funding). He also served as the NC State PI and one of 7 colleagues from 6 major universities who prepared a winning proposal to NASA that resulted in the establishment of the National Institute of Aerospace, a unique multi-university research center, in partnership with Langley Research Center; through a 15-year,  $390M contract with NASA. In 2005 he joined Cal Poly as the Dean of Engineering where he served until 2010, after which he returned to his passion for teaching and research.  Noori’s research in modeling complex and nonlinear hysteretic behavior of structural systems (Bouc-Wen-Baber-Noori Model) has been widely cited and over the past two decades BWBN model has been utilized in a wide range of engineering applications, for constitutive modeling, analysis and response prediction of hysteretic systems and devices.  Since 1990 Noori and his collaborators have carried out work in structural health monitoring (SHM).  This work has included development of a number of artificial intelligence methods, for damage detection in linear and nonlinear systems, as well feature extraction.  Their most recent work is on uncertainty quantification issues in SHM.  Noori is a co-author of a two volume upcoming book on the Application of Fiber Optic Sensors in Structural Health Monitoring and also serves as a special advisor to the President of the International Society for Structural Health Monitoring of  Intelligent Infrastructure (ISHMII).  Noori has received numerous awards for his teaching, research, and professional service. The most recent one include the ASEE Keating Award for Innovation and Leadership in Lifelong Learning in Graduate Engineering Education.  He is an ASME Fellow, has received a JSPS Fellowship and is a member of Sigma Xi, Pi Tau Sigma, Chi-Epsilon, and Sigma Mu Epsilon honorary societies.  Currently, Noori is a professor of mechanical engineering at Cal Poly in San Luis Obispo, CA, has held a visiting scholar position at DPRI, Japan, and currently holds a distinguished visiting chaired professorship at a major research institution in China.

Date(s) - Jun 05, 2017
10:30 am - 11:30 am


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