TY - JOUR
T1 - Metamodeling in multidisciplinary design optimization
T2 - How far have we really come?
AU - Viana, Felipe A.C.
AU - Simpson, Timothy W.
AU - Balabanov, Vladimir
AU - Toropov, Vasilli
N1 - Funding Information:
Timothy W. Simpson is a Professor of mechanical and industrial engineering at Pennsylvania State University with affiliations in Engineering Design and the College of Information Sciences and Technology. He received his B.S. in mechanical engineering from Cornell University in 1994 and his M.S. and Ph.D. degrees in mechanical engineering from Georgia Institute of Technology in 1995 and 1998. He has received over $15 million in funding to support his research in product family and product platform design, multidisciplinary design optimization (MDO), metamodeling and trade space exploration, and additive manufacturing, and he has published over 250 peer-reviewed papers to date. He teaches courses on product family design, concurrent engineering, mechanical systems design, and product dissection, and he serves as the Director of the Product Realization Minor in the College of Engineering. He is a recipient of the American Society for Engineering Education Fred Merryfield Design Award and a National Science Foundation Career Award. He has received several awards for outstanding research and teaching at Pennsylvania State University, including the 2007 Penn State University President’s Award for Excellence in Academic Integration. He is a Fellow of the American Society of Mechanical Engineers (ASME) and an Associate Fellow AIAA. He currently serves on the ASME Design Education Division Executive Committee and is a former Chair of both the ASME Design Automation Executive Committee and the AIAA MDO Technical Committee. He is also a Department Editor for IIE Transactions: Design and Manufacturing and serves on the editorial boards for Research in Engineering Design, Journal of Engineering Design, and Engineering Optimization.
Funding Information:
F. A. V. Viana is grateful to the National Science Foundation (NSF) for support of this work through NSF grant No. DMI-0423280. T. W. Simpson acknowledges support from National Science Foundation on NSF grant No. CMMI-0620948. Any opinions, findings, and conclusions or recommendations presented in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation.
PY - 2014/4
Y1 - 2014/4
N2 - The use of metamodeling techniques in the design and analysis of computer experiments has progressed remarkably in the past 25 years, but how far has the field really come? This is the question addressed in this paper, namely, the extent to which the use of metamodeling techniques in multidisciplinary design optimization have evolved in the 25 years since the seminal paper on design and analysis of computer experiments by Sacks et al. ("Design and Analysis of Computer Experiments," Statistical Science, Vol. 4, No. 4, 1989, pp. 409-435). Rather than a technical review of the entire body of metamodeling literature, the focus is on the evolution and motivation for advancements in metamodeling with some discussion on the research itself; not surprisingly, much of the current research motivation is the same as it was in the past. Based on current research thrusts in the field, multifidelity approximations and ensembles (i.e., sets) of metamodels, as well as the availability of metamodels within commercial software, are emphasized. Design space exploration and visualization via metamodels are also presented as they rely heavily on metamodels for rapid design evaluations during exploration. The closing remarks offer insight into future research directions, mostly motivated by the need for new capabilities and the ability to handle more complex simulations.
AB - The use of metamodeling techniques in the design and analysis of computer experiments has progressed remarkably in the past 25 years, but how far has the field really come? This is the question addressed in this paper, namely, the extent to which the use of metamodeling techniques in multidisciplinary design optimization have evolved in the 25 years since the seminal paper on design and analysis of computer experiments by Sacks et al. ("Design and Analysis of Computer Experiments," Statistical Science, Vol. 4, No. 4, 1989, pp. 409-435). Rather than a technical review of the entire body of metamodeling literature, the focus is on the evolution and motivation for advancements in metamodeling with some discussion on the research itself; not surprisingly, much of the current research motivation is the same as it was in the past. Based on current research thrusts in the field, multifidelity approximations and ensembles (i.e., sets) of metamodels, as well as the availability of metamodels within commercial software, are emphasized. Design space exploration and visualization via metamodels are also presented as they rely heavily on metamodels for rapid design evaluations during exploration. The closing remarks offer insight into future research directions, mostly motivated by the need for new capabilities and the ability to handle more complex simulations.
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U2 - 10.2514/1.J052375
DO - 10.2514/1.J052375
M3 - Article
AN - SCOPUS:84896913144
SN - 0001-1452
VL - 52
SP - 670
EP - 690
JO - AIAA journal
JF - AIAA journal
IS - 4
ER -