Prediction of progressive collapse resistance of RC frames using deep and cross network model
Author:
Publisher
Elsevier BV
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference84 articles.
1. Experimental and numerical investigation on progressive collapse resistance of reinforced concrete beam column sub-assemblages;Yu;Eng Struct,2013
2. Progressive collapse resistance of axially-restrained frame beams;Su;ACI Struct J,2009
3. Experimental Study on Progressive Collapse-Resistant Behavior of Reinforced Concrete Frame Structures;Yi;ACI Struct J,2008
4. Structural Behavior of RC Beam-Column Subassemblages under a Middle Column Removal Scenario;Yu;J Struct Eng,2013
5. Special Detailing Techniques to Improve Structural Resistance against Progressive Collapse;Yu;J Struct Eng,2014
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1. Intelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks;International Journal of Computational Intelligence Systems;2024-07-03
2. Determination of dynamic collapse limit states using the energy-based method for multi-story RC frames subjected to column removal scenarios;Engineering Structures;2024-07
3. Machine learning-based models for predicting the progressive collapse resistance of truss string structures;Engineering Structures;2024-05
4. Progressive collapse: Past, present, future and beyond;Structures;2024-04
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