A neural dynamics model for structural optimization—Theory
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Cited by (151)
Enhancing performance evaluation of low-cost inclinometers for the long-term monitoring of buildings
2024, Journal of Building EngineeringNeural network models for the critical bending moment of uniform and tapered beams
2022, StructuresCitation Excerpt :In addition to the study of cellular and castellated beams, as well as the study of distortional buckling, researchers have also successfully employed neural networks to address other topics related to beams. Neural networks for optimization of cold-formed steel beams were applied by Adeli and Karim [57], Karim and Adeli [58], and Tashakori and Adeli [59] for space structures using the model developed in [60,61]. In Guzelbey et al. [62], the authors proposed a neural network approach for the estimation of available rotation capacity of wide flange beams, using a total of 75 experimental samples from the literature and then developed an explicit formulation for this problem.
TONR: An exploration for a novel way combining neural network with topology optimization
2021, Computer Methods in Applied Mechanics and EngineeringTwo algorithms for reconstructing vertical alignments exploring the neural dynamics model of Adeli and Park
2024, Computer-Aided Civil and Infrastructure Engineering
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