Advancing ultimate bond stress–slip model of UHPC structures through a novel hybrid machine learning approach-Reference-Cited by-同舟云学术

Advancing ultimate bond stress–slip model of UHPC structures through a novel hybrid machine learning approach

Published:2024-04 Issue: Volume:62 Page:106162
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Amini Pishro Ahad,Zhang Shiquan,Hu Qixiao,Zhang Zhengrui^ORCID,Amini Pishro Mojdeh,Zhang Lili,L’Hostis Alain,Hejazi Farzad^ORCID,Liu Yuetong^ORCID,Zhao Yuandi

Funder

Science and Technology Department of Sichuan Province

Publisher

Elsevier BV

Reference23 articles.

1. Comprehensive equation of local bond stress between UHPC and reinforcing steel bars;Amini Pishro;Constr Build Mater,2020

2. Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars;Amini Pishro;Sci Rep,2021

3. Experimental and numerical study of nano-silica additions on the local bond of ultra-high performance concrete and steel reinforcing Bar;Amini Pishro;Civ Eng J,2017

4. Experimental study on bond stress between ultra-high performance concrete and steel reinforcement;Amini Pishro;Civ Eng J,2017

5. UHPC-PINN-parallel micro element system for the local bond stress–slip model subjected to monotonic loading;Ahad Amini Pishro;Structures,2022

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