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A robust multi-objective and multi-physics optimization of multi-physics behavior of microstructure

  • Mechanical Engineering, Control Science and Information Engineering
  • Published:
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Abstract

A new strategy is presented to solve robust multi-physics multi-objective optimization problem known as improved multi-objective collaborative optimization (IMOCO) and its extension improved multi-objective robust collaborative (IMORCO). In this work, the proposed IMORCO approach combined the IMOCO method, the worst possible point (WPP) constraint cuts and the Genetic algorithm NSGA-II type as an optimizer in order to solve the robust optimization problem of multi-physics of microstructures with uncertainties. The optimization problem is hierarchically decomposed into two levels: a microstructure level, and a disciplines levels. For validation purposes, two examples were selected: a numerical example, and an engineering example of capacitive micro machined ultrasonic transducers (CMUT) type. The obtained results are compared with those obtained from robust non-distributed and distributed optimization approach, non-distributed multi-objective robust optimization (NDMORO) and multi-objective collaborative robust optimization (McRO), respectively. Results obtained from the application of the IMOCO approach to an optimization problem of a CMUT cell have reduced the CPU time by 44% ensuring a Pareto front close to the reference non-distributed multi-objective optimization (NDMO) approach (mahalanobis distance, D M 2 =0.9503 and overall spread, S o=0.2309). In addition, the consideration of robustness in IMORCO approach applied to a CMUT cell of optimization problem under interval uncertainty has reduced the CPU time by 23% keeping a robust Pareto front overlaps with that obtained by the robust NDMORO approach (D M 2 =10.3869 and S o=0.0537).

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Authors and Affiliations

  1. Research Unit in Structural Dynamics, Modeling and Engineering of Multi-Physics Systems, SDMESM, Nabeul Preparatory Engineering Institute-IPEIN, University of Carthage, Carthage, Tunisia

    Hamda Chagraoui & Mohamed Guedri

  2. Laboratory of Applied Mechanics and Engineering, ENIT, Department of Mechanical engineering ENSIT, Tunis University of Tunisia, Tunis, Tunisia

    Mohamed Soula

Authors
  1. Hamda Chagraoui
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  2. Mohamed Soula
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  3. Mohamed Guedri
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Correspondence to Hamda Chagraoui.

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Chagraoui, H., Soula, M. & Guedri, M. A robust multi-objective and multi-physics optimization of multi-physics behavior of microstructure. J. Cent. South Univ. 23, 3225–3238 (2016). https://doi.org/10.1007/s11771-016-3388-2

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  • DOI: https://doi.org/10.1007/s11771-016-3388-2

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