TY - GEN
T1 - Spatial correlation metamodels for global approximation in structuraldesign optimization
AU - Simpson, Timothy W.
AU - Allen, Janet K.
AU - Mistree, Farrokh
N1 - Publisher Copyright:
© 1998 by ASME.
PY - 1998
Y1 - 1998
N2 - Despite the steady and continuing growth of computingpower and speed, the complexity and computational expenseof engineering analysis codes maintains pace. Statisticaltechniques are becoming widely used in engineering design toconstruct approximations or metamodels of these analysiscodes which are then used in lieu of the actual codes,facilitating optimization and concept exploration. Ourpurpose in this paper is to report results of ongoing researchaimed at increasing the efficiency of computer-basedengineering design through the use of spatial correlationmetamodels to build global approximations ofcomputationally expensive computer analyses. Threestructural design examples are presented to test the predictivecapability of these metamodels for use in design optimization.The reported results confirm that these spatial correlationmetamodels can produce sufficient accuracy for optimizationwhen used as global approximations.
AB - Despite the steady and continuing growth of computingpower and speed, the complexity and computational expenseof engineering analysis codes maintains pace. Statisticaltechniques are becoming widely used in engineering design toconstruct approximations or metamodels of these analysiscodes which are then used in lieu of the actual codes,facilitating optimization and concept exploration. Ourpurpose in this paper is to report results of ongoing researchaimed at increasing the efficiency of computer-basedengineering design through the use of spatial correlationmetamodels to build global approximations ofcomputationally expensive computer analyses. Threestructural design examples are presented to test the predictivecapability of these metamodels for use in design optimization.The reported results confirm that these spatial correlationmetamodels can produce sufficient accuracy for optimizationwhen used as global approximations.
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U2 - 10.1115/DETC98/DAC-5615
DO - 10.1115/DETC98/DAC-5615
M3 - Conference contribution
AN - SCOPUS:85007498995
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 24th Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 1998 Design Engineering Technical Conferences, DETC 1998
Y2 - 13 September 1998 through 16 September 1998
ER -