Prediction and optimization of the flexural behavior of corroded concrete beams using adaptive neuro fuzzy inference system-Reference-Cited by-同舟云学术

Prediction and optimization of the flexural behavior of corroded concrete beams using adaptive neuro fuzzy inference system

Published:2022-09 Issue: Volume:43 Page:200-208
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Peng Jun,Yan Gongxing,Zandi Yousef,Sadighi Agdas Alireza,Pourrostam Towhid,Ezz El-Arab Islam,Denic Nebojsa,Nesic Zoran,Cirkovic Bogdan,Amine Khadimallah Mohamed

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference62 articles.

1. Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives;Afshar;Constr Build Mater,2020

2. Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS);Shariati;Steel Compos Struct,2020

3. Structural performance of RC beams damaged by natural corrosion under sustained loading in a chloride environment;Yu;Eng Struct,2015

4. Relationship model between surface strain of concrete and expansion force of reinforcement rust;Chen;Sci Rep,2021

5. Long-term performance of corrosion-damaged reinforced concrete beams;El Maaddawy;ACI Struct J,2005

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Designing energy-efficient buildings in urban centers through machine learning and enhanced clean water managements;Environmental Research;2024-11

2. Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors;Environmental Research;2024-10

3. Advancing tunnel equipment maintenance through data-driven predictive strategies in underground infrastructure;Computers and Geotechnics;2024-09

4. Enhancing structural analysis and electromagnetic shielding in carbon foam composites with applications in concrete integrating XGBoost machine learning, carbon nanotubes, and montmorillonite;Synthetic Metals;2024-09

5. Experimental testing and predictive machine learning to determine the mechanical characteristics of corroded reinforcing steel;Construction and Building Materials;2024-08