Machine learning for structural engineering: A state-of-the-art review

HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend

R Kazemi - Engineering Reports, 2023 - Wiley Online Library
Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …

Prediction of bond strength of reinforced concrete structures based on feature selection and GWO-SVR model

C Fan, Y Zheng, S Wang, J Ma - Construction and Building Materials, 2023 - Elsevier
Bond strength, as a mechanical property of reinforced concrete (RC) structures, is a crucial
factor affecting the force characteristics of RC structures. In order to assess the load-bearing …

Explainable ensemble learning model for predicting steel section-concrete bond strength

X Wang, A Chen, Y Liu - Construction and Building Materials, 2022 - Elsevier
This study evaluates the efficiency of an explainable ensemble learning framework in
precisely predicting the bond strength between steel sections with different surface …

Bond stress estimation of profiled steel-concrete in steel reinforced concrete composite structures using ensemble machine learning approaches

S Zhang, J Xu, T Lai, Y Yu, W **ong - Engineering Structures, 2023 - Elsevier
The bond-slip behavior between profiled steel and concrete is a critical issue in the steel
reinforced concrete (SRC) composite structures. Existing models for predicting the bond …

Development of data-driven prediction model for CFRP-steel bond strength by implementing ensemble learning algorithms

SZ Chen, DC Feng, WS Han, G Wu - Construction and Building Materials, 2021 - Elsevier
Bonding carbon fiber reinforced polymer (CFRP) laminates has been broadly utilized in
steel structure rehabilitation. As for the final strengthened capacity, the bond strength …

Modelling the interface bond strength of corroded reinforced concrete using hybrid machine learning algorithms

T Huang, T Liu, Y Ai, Z Ren, J Ou, Y Li, N Xu - Journal of Building …, 2023 - Elsevier
The mechanical properties of corroded reinforced concrete are intricately associated with
bond strength between corroded reinforcement and concrete. This strength must be …

Enhancing sustainability of corroded RC structures: Estimating steel-to-concrete bond strength with ANN and SVM algorithms

R Singh, HC Arora, A Bahrami, A Kumar, NR Kapoor… - Materials, 2022 - mdpi.com
The bond strength between concrete and corroded steel reinforcement bar is one of the
main responsible factors that affect the ultimate load-carrying capacity of reinforced concrete …

Numerical simulation and data-driven analysis on the flexural performance of steel reinforced concrete composite members

BL Lai, L Yang, MX **ong - Engineering Structures, 2021 - Elsevier
The flexural stiffness and flexural capacity of composite member are decisive indexes for the
serviceability limit state and ultimate limit state design. To deepen the understanding of the …

[HTML][HTML] Prediction of FRCM–concrete bond strength with machine learning approach

A Kumar, HC Arora, K Kumar, MA Mohammed… - Sustainability, 2022 - mdpi.com
Fibre-reinforced cement mortar (FRCM) has been widely utilised for the repair and
restoration of building structures. The bond strength between FRCM and concrete typically …