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Machine learning is becoming increasingly prevalent for tackling challenges in earthquake engineering and providing fairly reliable and accurate predictions. However, it is mostly unclear how decisions are made because machine learning models are gen
Externí odkaz:
http://arxiv.org/abs/2301.04652
Publikováno v:
Structures 2022
Current seismic design codes primarily rely on the strength and displacement capacity of structural members and do not account for the influence of the ground motion duration or the hysteretic behavior characteristics. The energy-based approach serve
Externí odkaz:
http://arxiv.org/abs/2111.08295
The recent surge in earthquake engineering is the use of machine learning methods to develop predictive models for structural behavior. Complex black-box models are typically used for decision making to achieve high accuracy; however, as important as
Externí odkaz:
http://arxiv.org/abs/2111.13580