Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review

F Kazemi, T Shafighfard, DY Yoo - Archives of Computational Methods in …, 2024 - Springer
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …

The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …

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 …

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 …

Ballastless track arching recognition based on one-dimensional residual convolutional neural network and vehicle response

X Tang, Z Chen, X Cai, Y Wang - Construction and Building Materials, 2023 - Elsevier
In the long-term service process, high-temperature load will lead to ballastless track arching.
The ballastless track arching will reduce the structural integrity, affect the smoothness of the …

Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms

Y Yang, G Liu, H Zhang, Y Zhang, X Yang - Buildings, 2024 - mdpi.com
Machine learning (ML) algorithms have been widely used in big data prediction and
analysis in terms of their excellent data regression ability. However, the prediction accuracy …

A data-driven approach for predicting interface bond strength between corroded reinforcement and concrete

T Huang, T Liu, N Xu, K Yue, Y Li, X Liu, S Liu, J Ou - Structures, 2023 - Elsevier
The deterioration of interface bond strength of reinforcement and concrete in a corrosive
environment is the primary cause of premature degradation that affects reinforced concrete …

Prediction model and sensitivity analysis of ultimate drift ratio for rectangular reinforced concrete columns failed in flexural-shear based on BP-Garson algorithm

Y Ma, J Mi, X Yang, Z Sun, C Liu - Structures, 2024 - Elsevier
Considering that the deformation capacity of reinforced concrete (RC) columns is crucial in
performance-based seismic design, the ultimate drift ratio of RC columns failed in flexural …

Predicting bond strength of corroded reinforced concrete after high-temperature exposure: A stacking model and feature selection

P Ge, O Yang, X Hua, Z Chen, J He, Z Liu… - … and Building Materials, 2024 - Elsevier
The bond strength between concrete and steel reinforcement bars is crucial for determining
the ultimate load-carrying capacity and serviceability of reinforced concrete (RC) structures …

[HTML][HTML] Artificial Neural Network Model for Predicting Mechanical Strengths of Economical Ultra-High-Performance Concrete Containing Coarse Aggregates …

L Li, Y Gao, X Dong, Y Han - Materials, 2024 - mdpi.com
Ultra-high-performance concrete with coarse aggregates (UHPC-CA) has the advantages of
high strength, strong shrinkage resistance and a lower production cost, presenting a broad …