從 2006年 起，方博士并開始 在美國 賓州 費城的 Drexel 和 加州的 Stanford 兩個大學 兼任 客座教授 (Adjunct Professor)。開設的課程有“Finite Element Method Uncertainty Analysis (有限元計算的 可靠性)," "Reliability and Uncertainty Estimation of FEM Models of Composite Structures (復合材料設計及 現代制造的 可靠性)," "Applied Statistics for FEM Uncertainty and NDT Reliability Analysis with a Software Tool,” (工程統計學及 可靠分析軟件的 應用)," 等等。
2012 年 又蒙 香港城市大學 (City University of Hong Kong) 邀請 兼任核能工程 (Nuclear and Risk Engineering) 客座教授，任期三年。每次授課，以短訓班形式，主講兩門課: (1) Introduction to Statistics for Engineers with a Software Tool, (2) Advanced Statistics for FEM Uncertainty, Design of Experiments, NDT Reliability, and Risk Assessment. 2013 年又蒙 上海華東理工大學邀請 任 榮譽客座教授，任期亦三年。
We begin with a review of progress in nondestructive testing (NDT) and fatigue research since 1974 with emphasis on (1) NDT for fatigue crack measurements, (2) model-assisted probability of detection (MAPOD) for fatigue life modeling, and (3) NDT-based structural health monitoring for failure prevention. Our review is followed by listing three fundamental problems in NDT-based fatigue modeling, namely, scale, uncertainty, and validation, and three modern statistical tools, namely, stochastic modeling, design-of-experiments-based modeling, and model-validation-based multi-scale simulation, to suggest that we now possess a “sufficient” number of tools and a body of basic knowledge to make NDT a scientific discipline and reliable technology. Five examples are introduced to demonstrate the plausibility of a thesis that the fatigue life of an aging structure can be predicted with 99.99 % confidence and 99.99999999 % coverage if the structure is continuously monitored by built-in sensors with model- assisted NDT technology and fast on-line analysis capability. Significance and limitations of this NDT-monitoring and on-line analysis approach to high-consequence aging asset management are presented and discussed.
Biographical Sketch of Speaker:
Dr. Jeffrey T. Fong has been Physicist and Project Manager at the Applied and Computational Mathematics Division, Information Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, since 1966. He was educated at the University of Hong Kong (B.Sc., Engineering, first class honors, 1955), Columbia University (M.S., Engineering Mechanics, 1961), and Stanford (Ph.D., Applied Mechanics and Mathematics, 1966). Prior to 1966, he worked as a design engineer (1955-63) on numerous power plants (hydro, fossil-fuel, nuclear) at Ebasco Services, Inc., in New York City, and a teaching & research assistant (1963-66) on engineering mechanics at Stanford University.
During his 40+ years at NIST, he has conducted research, provided consulting services, and taught numerous short courses on mathematical and finite-element-method modeling with uncertainty estimation in continuum mechanics and thermodynamics, fatigue, fracture, creep, nondestructive evaluation (NDE), electromagnetics, and failure analysis of a broad range of materials ranging from paper, ceramics, glass, to polymers, composites, metal alloys, semiconductors, and biological tissues.
A licensed professional engineer (P.E.) in the State of New York since 1962 and a chartered civil engineer in the United Kingdom and British Commonwealth (A.M.I.C.E.) since 1968, he has authored or co-authored more than 100 technical papers, and edited or co-edited 17 national or international conference proceedings. He was elected Fellow of ASTM in 1982 and Fellow of ASME in 1984. In 1993, he was awarded the prestigious ASME Pressure Vessels and Piping Medal. In 2014 he was honored at the International Conference on Computational & Experimental Engineering & Sciences (ICCES) with a Lifetime Achievement Medal.
Since 2006, he has been Adjunct Professor of Mechanical Engineering and Mechanics at Drexel University and taught a graduate-level 3-credit course on “Finite Element Method Uncertainty Analysis.” Since Jan. 2010, he has given every 6 months an on-line 3-hour short course at Stanford University on “Reliability and Uncertainty Estimation of FEM Models of Composite Structures.” In 2012, he was appointed Adjunct Professor of Nuclear and Risk Engineering at the City University of Hong Kong, and Distinguished Guest Professor at the East China University of Science & Technology, Shanghai, China, to teach annually a 1-credit 16-hour short course on “Applied Statistics for FEM Uncertainty, Design of Experiments, and NDT Reliability with a Software Tool.”