abstract

• A simulation-based robust material design optimization methodology is presented to predict the most suitable microstructural phase morphologies for desired high temperature strength of SiC-Si3N4 nanocomposites. The use of robust design optimization techniques in multiscale material design will allow developing SiC-Si3N4 nanocomposites whose performance variation is insensitive to processing variations. In this investigation, statistical uncertainties inherent to computational microstructural generation are quantified and introduced in the proposed methodology to generate robust nanocomposites. The result of this investigation is a systematic method capable of synthesizing optimal microstructure that will satisfy the design requirements, while reducing cost and time. In this work, a sequential approximate optimization under uncertainty algorithm is used to find the most robust microstructure that maximizes its strength at two temperature cases, 1500°C and 1600°C. Copyright © 2010 by the American Institute of Aeronautics and Astronautics, Inc.

authors

• Mejía Rodríguez Gilberto
• Renaud J.E.

publication date

• 2010-01-01

published in

• Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference  Proceedings

keywords

• Microstructure; Nanocomposites; Silicon carbide; Silicon compounds; Structural dynamics; High temperature strength; Multiscale material designs; Optimal microstructure; Performance variations; Robust design optimization; Sequential approximate optimization; Statistical uncertainty; Systematic method; Nitrogen compounds

Digital Object Identifier (DOI)

• 10.2514/6.2010-3078

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