An Automated Machine Learning Engine with Inverse Analysis for Seismic Design of Dams

This paper proposes a systematic approach for the seismic design of 2D concrete dams. As opposed to the traditional design method which does not optimize the dam cross-section, the proposed design engine offers the optimal one based on the predefined constraints. A large database of about 24,000 sim...

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Veröffentlicht in:Water (Basel) 2022-12, Vol.14 (23), p.3898
Hauptverfasser: Hariri-Ardebili, Mohammad Amin, Pourkamali-Anaraki, Farhad
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Sprache:eng
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