Efficient structural optimization for multiple load cases using adjoint sensitivities

By Mehmet A. Akg-uacute, Raphael T. Haftka, K. Wu, J. L. Walsh, J. Garcelon. 2001

62 citations recorded by the source corpus.

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Topology optimization with finite-life fatigue constraints (2017, methodology): “It has previously been shown that using the adjoint method for multiple load cases can be effective [43, 44].”
An evaluation of constraint aggregation strategies for wing box mass minimization (2017, methodology): “In this section, we review two classical approaches to constraint aggregation: Kreisselmeier–Steinhauser (KS) aggregation (Kreisselmeier and Steinhauser, 1979, 1983; Akgün et al., 2001) and p-norm aggregation (Duysinx and Sigmund, 1998; Qiu and Li, 2010).”
An adaptive approach to constraint aggregation using adjoint sensitivity analysis (2007, methodology): “…method for gradient-based optimization, which has been used in various applications, including aerodynamic shape optimization (Anderson and Bonhaus 1997), chemical process design (Rooney and Biegler 2002), and aircraft design (Stettner and Schrage 1992; Akgün et al. 2001; Martins et al. 2004).”
Improved constraint-aggregation methods (2015, background): “Other authors have approached the optimization problem (Opt) by using smooth approximations of the bound constraint using constraint aggregation [18, 1, 23, 24, 29, 18, 11, 24].”