报告题目：Application of Fracture Mechanics to Structural Life Assessment
邀请人：李伟 副教授
报告时间：2017年9月21日15:00-15:30
报告地点：信远楼II206我院报告厅
报告人：Aleksandar Sedmak，Full Professor, Belgrade University
报告人简介：Aleksandar Sedmak is the Professor at the Faculty of Mechanical Engineering, University of Belgrade, Serbia, and Director of the Innovation Center of the Faculty of Mechanical Engineering, Belgrade, visiting professor at Drexel Univerisity, Philadelphia, USA, 1999-2002, assistant minister in Serbian Ministry for Science and Technology Development, 2003-2006, and Vice-president of the University of Belgrade, 2006-2009. the Vice-President of European Structural Integrity Society (ESIS), member of ESIS Technical Committee on elastic-plastic fracture mechanics (TC1) and co-chairman of TC13 (Risk based analysis), as well as the President of Serbian Structural Integrity and Life Society (DIVK).
In the scope of Scientific Research, Prof. Sedmak published more than 100 papers in ISI Journals and more than 200 papers in International Conferences, covering Fracture Mechanics, Fatigue, Structural Integrity and Life, Welding and Weldment Behavior, Numerical Methods (FEM), Biomaterials. He has supervised more than 50 Ph.D. thesis, including foreign Universities in Romania, Macedonia and Slovenia. He is honorary Professor at University of Brasov, Romania.
报告摘要：Theoretical basis for fracture mechanics parameters has been discussed, starting from the conservation law of J integral type. Twofold meaning of J integral, one as crack driving force, and the other, as material crack resistance, has been used to apply fracture mechanics basic concept to assess structural integrity and life of different critical components, exposed to fatigue. Remaining life is the focus of investigation, using the empirical laws for crack growth rates. Numerical simulations for fatigue crack growth are inherently complex both due to complex material damage processes and lack of sound theoretical basis to define them. Anyhow, combination of theoretical, experimental and numerical approach is presented which has enabled reliable and efficient estimation of life.
