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Volumn , Issue , 2003, Pages 2305-2307

High performance computing for multidisciplinary design optimization and robustness of vehicle structures

Author keywords

Design optimization; HPC; MDO; NVH; Robustness; Safety; Surrogate models

Indexed keywords

ACCIDENT PREVENTION; DESIGN; DESIGN AIDS; FUEL ADDITIVES; ROBUSTNESS (CONTROL SYSTEMS); VEHICLE PERFORMANCE; VEHICLES;

EID: 40249112260     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008044046-0.50566-2     Document Type: Chapter
Times cited : (5)

References (4)
  • 1
    • 0035121240 scopus 로고    scopus 로고
    • Multidisciplinary design optimisation: some formal methods, framework requirements, and application to vehicle design
    • Kodiyalam S, Sobieski JS Multidisciplinary design optimisation: some formal methods, framework requirements, and application to vehicle design. Int J Vehicle Design 2001, 25(1/2):3-22.
    • (2001) Int J Vehicle Design , vol.25 , Issue.1-2 , pp. 3-22
    • Kodiyalam, S.1    Sobieski, J.S.2
  • 3
    • 0012981480 scopus 로고    scopus 로고
    • Large-scale, multidisciplinary optimization of a vehicle system in a scalable, high performance computing environment
    • Sept
    • Kodiyalam S, Yang RJ, Gu L, Tho C Large-scale, multidisciplinary optimization of a vehicle system in a scalable, high performance computing environment. Proceedings, ASME Design Technical Conferences Sept. 2001.
    • (2001) Proceedings, ASME Design Technical Conferences
    • Kodiyalam, S.1    Yang, R.J.2    Gu, L.3    Tho, C.4
  • 4
    • 0036075360 scopus 로고    scopus 로고
    • Application of descriptive sampling and metamodeling methods for optimal design and robustness of vehicle structures
    • April
    • Kodiyalam S, Yang RJ, Yang RJ, Gu L Application of descriptive sampling and metamodeling methods for optimal design and robustness of vehicle structures. AIAA Conference Paper No. AIAA-2002-1321 April 2002.
    • (2002) AIAA Conference Paper No. AIAA-2002-1321
    • Kodiyalam, S.1    Yang, R.J.2    Yang, R.J.3    Gu, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.