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A Novel Deep Hybrid Learning Framework for Structural Reliability Under Civil and Mechanical Constraints

This study presents an AI-based framework that unifies civil and mechanical engineering principles to optimize the structural performance of steel frameworks. Unlike traditional methods that analyze material behavior, load-bearing capacity, and dynamic response separately, the proposed model integra...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Qasim Aljamal, Mahmoud AlJamal, Mohammad Q. Al-Jamal, Zaid Jawasreh, Ayoub Alsarhan, Sami Aziz Alshammari, Nayef H. Alshammari, Rahaf R. Alshammari
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2025-11-01
Rangatū:Mathematics
Ngā marau:
AI-assisted structural optimization
physics-informed machine learning
structural reliability assessment
hybrid civil–mechanical framework
steel material properties
Urunga tuihono:https://www.mdpi.com/2227-7390/13/23/3834
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