Robust Topology Optimization for Compliant Mechanisms Considering Uncertainty of Applied Loads

By N. Kogiso, Wonjin Ahn, Shinji Nishiwaki, Kazuhiro Izui, Masataka Yoshimura. 2008

106 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/ddced55db1cf8216fda5d3d064ff4507c0203bf2

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In Civil and Structural Engineering

In Computational Theory and Mathematics

In Mechanics of Materials

Citations in the corpus

Robust topology optimization accounting for misplacement of material (2012, methodology): “Kogiso et al. (2008) applied a probabilistic approach to model random loads in the design of robust compliant mechanisms.”
Topology optimization for worst load conditions based on the eigenvalue analysis of an aggregated linear system (2011, methodology): “In addition to structural stiffness optimization, the robust compliant mechanism design methodology under loading uncertainty was also proposed [27].”
Robust topology optimization accounting for spatially varying manufacturing errors (2011, background): “[23] focus on the design of compliant mechanisms, accounting for uncertain variations of the direction of the driving force.”
Level set based robust shape and topology optimization under random field uncertainties (2010, methodology): “On the other hand, not many works, except [12, 21, 22], exist on robust topology optimization (RTO), although it is a topic of great significance both in academic and industrial applications.”
Length scale and manufacturability in density-based topology optimization (2016, unknown): “[82], Lógó et al.”
Robust structural topology optimization considering boundary uncertainties (2013, background): “[4] addressed the optimal designs of compliant mechanisms considering the uncertainty of the direction of the driving force.”
Robust Topology Optimization: Minimization of Expected and Variance of Compliance (2013, methodology): “A more common formulation is to minimize theweighted sum of expectancy and variance of the performance for given uncertain parameters [32,33,35].”