Efficient global optimization and modal strain energy coefficient-based algorithm for fast prediction of dynamic aeroelastic loads

Assessment of discrete wind gust parameters: Towards the worst-case scenario of a FSI application in form of an inflated hemisphere

“…For example, the design explorer algorithm used in Khodaparast et al (2012) delivers faster results than the pure optimization techniques. The German Aerospace Center used a surrogate model fed by their CFD solver TAU and applied a gradient-based optimization technique for accurately identifying critical load cases (Ripepi et al, 2018;Goertz et al, 2020). Guzman Nieto et al (2019 propose a framework based on the efficient global optimization algorithm (Jones et al, 1998) and the Kriging meta-model to estimate critical dynamic aeroelastic loads.…”