Concrete Compressive Strength | List of Frontiers open access articles

Original Research

Published on 30 Nov 2020

Adapting Artificial Intelligence to Improve In Situ Concrete Compressive Strength Estimations in Rebound Hammer Tests

in Structural Materials

Yu Ren Wang
Yen Ling Lu
Dai Lun Chiang

Frontiers in Materials

doi 10.3389/fmats.2020.568870

5,157 views
10 citations

Original Research

Accepted on 18 Feb 2026

Heterogeneity-Aware Stacked Machine Learning for Predicting High-Performance Concrete Compressive Strength

in Construction Materials

Mahan Samiadel
Farahnaz Soleimani

Frontiers in Built Environment

Original Research

Published on 24 Jul 2023

Mechanical properties and microscopic characteristics of steel fiber coal gangue concrete

in Mechanics of Materials

Jiuyang Li
Li Chen
Jingwei Luo
Wenzhong Zhu
Xinmei Fan
Yuepeng Zhu
Zicheng Zhang

Frontiers in Materials

doi 10.3389/fmats.2023.1211129

5,003 views
15 citations

Original Research

Published on 03 May 2021

Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation

in Structural Materials

Mohsin Ali Khan
Adeel Zafar
Furqan Farooq
Muhammad Faisal Javed
Rayed Alyousef
Hisham Alabduljabbar
M. Ijaz Khan

Frontiers in Materials

doi 10.3389/fmats.2021.621163

9,188 views
141 citations

Original Research

Published on 10 Nov 2025

Forecasting bond strength of various FRP bars with different surface characteristics in concrete using machine learning models

in Computational Methods in Structural Engineering

Ameer M. Salih
Aso A. Abdalla
Sardar R. Mohammad Ali
Tre A. Abdullah

Frontiers in Built Environment

doi 10.3389/fbuil.2025.1692879

1,010 views

Original Research

Published on 01 Jul 2024

Improving stability and safety in concrete structures against high-energy projectiles: a machine learning perspective

in Structural Materials

Qianhui Zhang
Yuzhen Jin
Guangzhi Wang
Qingmei Sun
Hamzeh Ghorbani

Frontiers in Materials

doi 10.3389/fmats.2024.1416918

2,771 views
11 citations

Articles

Adapting Artificial Intelligence to Improve In Situ Concrete Compressive Strength Estimations in Rebound Hammer Tests

Heterogeneity-Aware Stacked Machine Learning for Predicting High-Performance Concrete Compressive Strength

Mechanical properties and microscopic characteristics of steel fiber coal gangue concrete

Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation

Forecasting bond strength of various FRP bars with different surface characteristics in concrete using machine learning models

Improving stability and safety in concrete structures against high-energy projectiles: a machine learning perspective