Explainable machine learning models for punching shear capacity of FRP bar reinforced concrete flat slab without shear reinforcement-Reference-Cited by-同舟云学术

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Explainable machine learning models for punching shear capacity of FRP bar reinforced concrete flat slab without shear reinforcement

Published:2024-07 Issue: Volume:20 Page:e03162
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Yan Jia,Su Jie,Xu Jinjun,Hua Kaihui,Lin Lang,Yu Yong

Publisher

Elsevier BV

Reference85 articles.

1. Comparison of strengthening methods to improve punching behavior of two-way RC flat slabs;Mercimek;Struct,2022

2. Punching shear behavior of FRP reinforced concrete slabs under different opening configurations and loading conditions;Alrousan;Case Stud. Constr. Mat.,2022

3. A rational formula to predict punching shear capacity at interior columns connections with RC flat slabs reinforced with either steel or FRP bars but without shear reinforcement;Alrudaini;Struct,2022

4. Experimental investigation of punching shear on FRP strengthened slab;Khan;IJASRE,2018

5. Partial interaction model of flexural behavior of PVA fiber–reinforced concrete beams with GFRP bars;Xie;J. Compos Constr.,2018

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1. Soil temperature prediction based on explainable artificial intelligence and LSTM;Frontiers in Environmental Science;2024-07-31

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