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 …
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 …
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 …
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 …
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 …
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
Bonding carbon fiber reinforced polymer (CFRP) laminates has been broadly utilized in
steel structure rehabilitation. As for the final strengthened capacity, the bond strength …
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 …
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
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 …
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
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 …
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
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 …
restoration of building structures. The bond strength between FRCM and concrete typically …