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Activity Number: 175
Type: Contributed
Date/Time: Monday, August 4, 2014 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #313537
Title: Engineering Design Optimization Using Validated Local Domains
Author(s): Dorin Drignei*+ and Zissimos Mourelatos
Companies: Oakland University and Oakland University
Keywords: design ; optimization ; computer model ; validation ; calibration
Abstract:

The engineering design optimization process relies often on computational models for analysis or simulation. These models must be validated to quantify the expected accuracy of the design solutions. It can be argued that validation of computational models in the entire design space is neither affordable nor required. The method proposed is a new paradigm where design optimization and model validation are performed concurrently in a sequence of variable-size local domains that are relatively small compared to the entire design space. Bootstrap techniques are used to identify these local domains. The proposed technique is illustrated with a vehicle piston design example.


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