Journal of Mechanical Science and Technology

  • 제18권5호
  • /
  • Pages.814-819
  • /
  • 2004
  • /
  • 1738-494X(pISSN)
  • /
  • 1976-3824(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
권호 표지

Adaptive Parallel Decomposition for Multidisciplinary Design

  • Park, Hyung-Wook (R & D Division for Hyundai Motor Company) ;
  • Lee, Se J. (Department of Mechanical Engineering, The University of Seoul) ;
  • Lee, Hyun-Seop (The Center of Innovative Design Optimization Technology, Hanyang University) ;
  • Park, Dong-Hoon (The Center of Innovative Design Optimization Technology, Hanyang University)
  • 발행 : 2004.05.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The conceptual design of a rotorcraft system involves many different analysis disciplines. The decomposition of such a system into several subsystems can make analysis and design more efficient in terms of the total computation time. Adaptive parallel decomposition makes the structure of the overall design problem suitable to apply the multidisciplinary design optimization methodologies and it can exploit parallel computing. This study proposes a decomposition method which adaptively determines the number and sequence of analyses in each sub-problem corresponding to the available number of processors in parallel. A rotorcraft design problem is solved and as a result, the adaptive parallel decomposition method shows better performance than other previous methods for the selected design problem.

키워드

참고문헌

  1. Altus, S. S., Kroo, I. M. and Gage, P. J., 1995, 'A Genetic Algorithm for Scheduling and Decomposition of Multidisciplinary Design Problems,' Advances in design automation, ASME Paper 95-141
  2. Gen, M. and Cheng, R., 1997, 'Genetic Algorithms and Engineering Design, pp. 234-248
  3. Kusiak, A. and Wang, J. 1993, 'Decomposition of the Design Process,' ASME Journal of Mechanical Design, Vol. 115, pp. 687-695 https://doi.org/10.1115/1.2919255
  4. Michelena, N. F. and Papalambros, P. Y. 1994, 'A Network Reliability Approach to Optimal Decomposition of Design Problems,' Advances in Design Automation, ASME, New York Vol. 2, pp. 195-204
  5. Park, H. W., Kim, M. S., Choi, D. H. and Mavris, D. N., 2002, 'Optimizing the Parallel Process Flow for the Individual Discipline Feasible Method,' 9th AIAA/ ISSMO Symposium and Exhibit on Multidisciplinary Analysis and Optimization, September 4-6
  6. Park, H. W., Kim, M. S., and Choi, D. H. 2003, 'A System Decomposition Tchnique Using a Multi-Objective Genetic Algorithm,' KSME, Vol. 27, No. 4, pp. 499-506
  7. Park, H. W. 2003, 'A Parallel Decomposition Method for Multidisciplinary Design Optimization Based on a Multiobjective Genetic Algorithm,' Ph. D. Thesis, Hanyang University, School of Mechanical Engineering
  8. Rogers, J. L.and Barthelemy, J. -F. M., 1992, 'Enhancements to the Design Manager's Aid for Intelligent Decomposition (DeMAID),' AIAA paper No.92-4809
  9. Rogers, J. L., and Bioebaum, C. L. 1994, 'Ordering Design Tasks Based on Coupling Strength,' AIAA paper No. 94-4362
  10. Rogers, J. L., McCulley, C. M. and Bloebaum, C. L. 1999, 'Optimizing the Process Flow for Complex Design Projects,' Design Optimization : International Journal for Product & Process Improvement, Vol. 1, No. 3. pp. 281-292
  11. Vanderplaats, G. N. 1995, DOT Users Manual Version 4.20, Vanderplaats Research & Development, Inc.