WebJul 19, 2024 · Here, we demonstrate an approach for the design of resonant metasurfaces based on coupled-mode theory. Our approach fully describes wave dynamics and coupling in metasurfaces and is much more computationally efficient than full-wave simulations. WebSep 1, 2024 · The majority of the literature on distributed optimization has focused on a framework in which, differently from the constraint-coupled set-up, cost functions and constraints depend on the same, common decision variable, and agents aim for consensual optimal solutions. An exemplary, non-exhaustive list of works for this optimization set …
Coupled optimization of macroscopic structures and lattice infill
WebApr 2, 2024 · The two-way coupled aero-structural optimization carried out by the constrained PSO proved to be a feasible solution in preliminary aircraft design. The Vortex Lattice Method, together with XFOIL, showed satisfactory results with a low computational cost. Similarly, the finite element method applied to the wing structure was fast enough … WebJan 1, 2008 · Through optimization using the SQP method, the overall costs of the simple cycle, regenerative cycle, and combined cycle were reduced by 7.4%, 12.0%, and 3.9%, … bulova sinatra 98a261
[2203.02677] Tightly Coupled Optimization-based GPS …
WebJun 28, 2024 · A procedure for rocket preliminary design was developed using a multidisciplinary coupled approach that simultaneously finds the optimal design and trajectory parameters for a given representative insertion in orbit launch mission. Given the nature of the performance metrics and design space, and the distinct design and … WebFeb 17, 2024 · A thermal‐structure coupled optimization study of lithium‐ion battery modules with mist cooling Semantic Scholar DOI: 10.1002/er.5220 Corpus ID: 213277027 A thermal‐structure coupled optimization study of lithium‐ion battery modules with mist cooling Liqing Qian Published 17 February 2024 Engineering International Journal of … WebThen, a two-layer semi-coupled optimization strategy based on a deep deterministic policy gradient is proposed to solve the asynchronous decision problems of day-ahead sharing and intra-day optimization. To deal with the impact of multiple uncertainties, Monte Carlo sampling is applied to ensure that the shared ES capacity is sufficient in any ... bulova sea star