Abstract
Nowadays the acceleration of material discovery is essential more than ever to hold the fast evolving requirements of innovative products. This acceleration depends on our ability to set up a material design process for tailoring materials from targeted engineering performances. One of the important building block passages, in the material design journey, is the bridging of micro-scale to meso-scale through micromechanical models. Unfortunately, these models include a lot of uncertainties resulting from their inbuilt ad-hoc assumptions, which inevitably impacts the material design process performance. In the present paper, robust design methods are reviewed and subsequently applied to quantify uncertainty in micromechanical models and mitigate its impact on material design performances. This includes examining principles for evaluating the level degree of uncertainty on material design process, and their use in micromechanical models. Also, developing robust design approaches to alleviate uncertainty effects and improve the quality of the design performance. Ultimately, the limitations of these approaches are discussed and the research opportunities, to overcome the shortness of actual approaches in respect to micromechanical models, are clarified.
Published Version
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