[HTML][HTML] Factors influencing the performance of rebound hammer used for non-destructive testing of concrete members: A review

HR Kumavat, NR Chandak, IT Patil - Case Studies in Construction …, 2021 - Elsevier
Non-destructive testing (NDT) has a vital role in finding surface hardness of concrete
members. B-Proceq curve can calculate the concrete strength by providing statistical …

Artificial intelligence approaches for prediction of compressive strength of geopolymer concrete

DV Dao, HB Ly, SH Trinh, TT Le, BT Pham - Materials, 2019 - mdpi.com
Geopolymer concrete (GPC) has been used as a partial replacement of Portland cement
concrete (PCC) in various construction applications. In this paper, two artificial intelligence …

Assessment of concrete strength using the combination of NDT—review and performance analysis

B Kouddane, ZM Sbartaï, M Alwash, K Ali-Benyahia… - Applied Sciences, 2022 - mdpi.com
This paper presents a review on combining NDT techniques, such as rebound hammer and
ultrasonic pulse velocity, for assessing concrete compressive strength. These methods …

[HTML][HTML] Assessment of high-temperature damaged concrete using non-destructive tests and artificial neural network modelling

HH Almasaeid, A Suleiman, R Alawneh - Case studies in construction …, 2022 - Elsevier
Abstract Evaluation of high-temperature damaged concrete is crucial to ensure the safety of
any structure after a fire event. However, using destructive tests, such as taking cores from …

Development of a machine learning model for on-site evaluation of concrete compressive strength by SonReb

SA Alavi, M Noel, F Moradi, H Layssi - Journal of Building Engineering, 2024 - Elsevier
Coring or destructive testing is typically the default choice for the evaluation of concrete
compressive strength in reinforced concrete (RC) structures. However, it can be impractical …

Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm

JS Park, S Park, BK Oh, T Hong, DE Lee… - Applied Soft Computing, 2024 - Elsevier
This paper introduces a novel approach for deriving an equation aimed at predicting
concrete compressive strength, leveraging two non-destructive test results: ultrasonic pulse …

A hybrid model based on LSTM-CNN combined with attention mechanism for MPC concrete strength prediction

S Zhang, J Xia, K Chen, D Zhang - Journal of Building Engineering, 2024 - Elsevier
Magnesium phosphate cement (MPC) has emerged as a rapid-setting repair material widely
used in various emergency reinforcement projects. When MPC is applied in road repair, it's …

A comparative study of regression, neural network and neuro-fuzzy inference system for determining the compressive strength of brick–mortar masonry by fusing …

M Mishra, AS Bhatia, D Maity - Engineering with Computers, 2021 - Springer
Determining the compressive strength of masonry structures is critical for assessing their
service life and thus providing safety assurances to their occupants and valued …

[HTML][HTML] Effect of model architecture and input parameters to improve performance of artificial intelligence models for estimating concrete strength using SonReb

SA Alavi, M Noel - Engineering Structures, 2025 - Elsevier
Abstract The use of Artificial Intelligence (AI) with the non-intrusive SonReb method, which
combines Ultrasonic Pulse Velocity (UPV) and Rebound Number (RN) to predict concrete …

Compressive strength evaluation by non-destructive techniques: An automated approach in construction industry

K Rashid, R Waqas - Journal of Building Engineering, 2017 - Elsevier
Non-destructive techniques (NDTs) for the evaluation of concrete structure are widely used
for the assessment and monitoring of concrete structures. Previous researches showed a …