Department News
Uncertainty Quantification and Optimization of Engineering Structures
Seminar Date
2005-10-07
Author
임아주
Date
2005-09-30
Views
1805
1. 제 목 : Uncertainty Quantification and Optimization of Engineering Structures
2. 연 사 : Prof. Ramana Grandhi, Wright State University (U.S.A.)
3. 일 시 : 2005. 10. 7 (금) 오전 10:00 ~ 12:00
4. 장 소 : 301동 1512호 세미나실
5. 내 용 : As modern structures require more critical and complex designs, the need for accurate approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes and operational environments has increased significantly. The reliability assessment techniques help to develop an initial guidance of robust design and to identify where significant contributors of uncertainty occur in structural systems or where further research, testing and quality control could increase the safety and efficiency of the structure. This presentation provides engineers intuitive appreciations for probability theory, statistic methods, and reliability analysis methods including Monte Carlo Sampling, Latin Hypercube Sampling, First and Second-order Reliability Methods, and Stochastic Optimization. In addition, this presentation covers how to use evidence theory and stochastic expansions for the optimization and reliability analysis of practical engineering problems. Several practical engineering applications, i.e., an uninhabitated joined-wing aircraft and a supercavitating torpedo, are presented to demonstrate the effectiveness of the methods.
6. 연사약력 :
1984 Virginia Polytechnic Institute and State University Blacksburg, VA(Ph.D. in Engineering Mechanics)
1984 - Pres. Wright State University Dayton, OH (Professor of Mechanical and Materials Engineering College)
1995 - 1996 NASA Lewis Research Center Cleveland, OH Wright-Patt AFB
2005 AIAA Fellow
7. 문 의 : 기계항공공학부 조맹효 (☎ 880 - 1693 )
2. 연 사 : Prof. Ramana Grandhi, Wright State University (U.S.A.)
3. 일 시 : 2005. 10. 7 (금) 오전 10:00 ~ 12:00
4. 장 소 : 301동 1512호 세미나실
5. 내 용 : As modern structures require more critical and complex designs, the need for accurate approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes and operational environments has increased significantly. The reliability assessment techniques help to develop an initial guidance of robust design and to identify where significant contributors of uncertainty occur in structural systems or where further research, testing and quality control could increase the safety and efficiency of the structure. This presentation provides engineers intuitive appreciations for probability theory, statistic methods, and reliability analysis methods including Monte Carlo Sampling, Latin Hypercube Sampling, First and Second-order Reliability Methods, and Stochastic Optimization. In addition, this presentation covers how to use evidence theory and stochastic expansions for the optimization and reliability analysis of practical engineering problems. Several practical engineering applications, i.e., an uninhabitated joined-wing aircraft and a supercavitating torpedo, are presented to demonstrate the effectiveness of the methods.
6. 연사약력 :
1984 Virginia Polytechnic Institute and State University Blacksburg, VA(Ph.D. in Engineering Mechanics)
1984 - Pres. Wright State University Dayton, OH (Professor of Mechanical and Materials Engineering College)
1995 - 1996 NASA Lewis Research Center Cleveland, OH Wright-Patt AFB
2005 AIAA Fellow
7. 문 의 : 기계항공공학부 조맹효 (☎ 880 - 1693 )
