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[항공] Uncertainty Modeling and Management in a Multidisciplinary Environment
1. 제 목 : Uncertainty Modeling and Management in a Multidisciplinary Environment
2. 연 사 : Prof. Prabhat Hajela ( Aerospace Engineering, Vice Provost and Dean of
Undergraduate Education, Rensselaer Polytechnic Institute, USA)
3. 일 시 : 2007년 5월 25일 (금) 10:00 - 11:00
4. 장 소 : 서울대 신공학관(301동) 117호 세미나실
5. 내 용 :
As the field of multidisciplinary design optimization matures and finds application in real-world design practice, the focus of research has increasingly shifted towards the study of modeling and handling of uncertainty in different facets of the design problem. Issues related to computational complexity and costs in multidisciplinary design are further exacerbated in the presence of uncertainties. The presentation will focus on developments in computational tools for better managing the inclusion of imprecise information in the design process. This includes a focus on methods through which to quantify uncertainty, new formulations of the design problem that inherently contribute to lower computational costs, and numerically efficient algorithms for computing reliability measures in the design process. A significant effort has also resided in the use of surrogate models to alleviate the computational costs related to analysis of the physical system. In application areas such as structural design, there has been a concerted effort in the development of new uncertainty-based analysis tools such as the stochastic finite element technique. An analogue of this approach developed in the context of the cellular automata based computational paradigm will be examined. A final focus of the presentation will be in the formulation of the design problem that allows for better management of uncertainty in a multidisciplinary, multi-scale environment; the propagation of uncertainty from component to subsystem, and eventually to the system level is an important area of concern in this context.
6. 약 력 :
1989-Present, Professor, Rensselaer Polytechnic Institute, USA
1983-1989, Professor, University of Florida
1982-1983, Research Fellow, University of California, USA
1981-1982, PH. D., Aeronautics and Astronautics, Stanford University
1979-1981, MS, Mechanical Engineering, Stanford University
1977-1979, MS, Aerospace Engineering, Iowa State University
1973-1977, BS, Aeronautical Engineering, Indian Institute of Technology Kanpur (IIT)
7. 문 의 : 기계항공공학부 신 상 준 교수 (☏ 880-1642)
2. 연 사 : Prof. Prabhat Hajela ( Aerospace Engineering, Vice Provost and Dean of
Undergraduate Education, Rensselaer Polytechnic Institute, USA)
3. 일 시 : 2007년 5월 25일 (금) 10:00 - 11:00
4. 장 소 : 서울대 신공학관(301동) 117호 세미나실
5. 내 용 :
As the field of multidisciplinary design optimization matures and finds application in real-world design practice, the focus of research has increasingly shifted towards the study of modeling and handling of uncertainty in different facets of the design problem. Issues related to computational complexity and costs in multidisciplinary design are further exacerbated in the presence of uncertainties. The presentation will focus on developments in computational tools for better managing the inclusion of imprecise information in the design process. This includes a focus on methods through which to quantify uncertainty, new formulations of the design problem that inherently contribute to lower computational costs, and numerically efficient algorithms for computing reliability measures in the design process. A significant effort has also resided in the use of surrogate models to alleviate the computational costs related to analysis of the physical system. In application areas such as structural design, there has been a concerted effort in the development of new uncertainty-based analysis tools such as the stochastic finite element technique. An analogue of this approach developed in the context of the cellular automata based computational paradigm will be examined. A final focus of the presentation will be in the formulation of the design problem that allows for better management of uncertainty in a multidisciplinary, multi-scale environment; the propagation of uncertainty from component to subsystem, and eventually to the system level is an important area of concern in this context.
6. 약 력 :
1989-Present, Professor, Rensselaer Polytechnic Institute, USA
1983-1989, Professor, University of Florida
1982-1983, Research Fellow, University of California, USA
1981-1982, PH. D., Aeronautics and Astronautics, Stanford University
1979-1981, MS, Mechanical Engineering, Stanford University
1977-1979, MS, Aerospace Engineering, Iowa State University
1973-1977, BS, Aeronautical Engineering, Indian Institute of Technology Kanpur (IIT)
7. 문 의 : 기계항공공학부 신 상 준 교수 (☏ 880-1642)