Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …
applications, and its mechanical properties are crucial for designing and evaluating its …
Predictive models in machine learning for strength and life cycle assessment of concrete structures
A Dinesh, BR Prasad - Automation in Construction, 2024 - Elsevier
The integration of emerging technologies into the construction industry is crucial for the
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …
ability to anticipate their flexural response. With a comprehensive grid search, several …
Ensemble machine learning-based approach with genetic algorithm optimization for predicting bond strength and failure mode in concrete-GFRP mat anchorage …
Glass fiber-reinforced polymer (GFRP) bar reinforced concrete structures are susceptible to
bonding failure because of the low bond strength between GFRP bars and concrete. In this …
bonding failure because of the low bond strength between GFRP bars and concrete. In this …
Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups
This article presents a comprehensive investigation of the applicability of optimized machine
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …
Shear capacity prediction for FRCM-strengthened RC beams using Hybrid ReLU-Activated BPNN model
This study presents a robust Hybrid ReLU-Activated Backpropagation Neural Network
(BPNN) model for predicting shear strength (VFRCM) in RC beams reinforced with Fiber …
(BPNN) model for predicting shear strength (VFRCM) in RC beams reinforced with Fiber …
Experimental study on the effect of different shear reinforcement shapes and arrangement on 3D crack propagation and shear failure mechanism in RC beams
M Abdullah, H Nakamura, K Kawamura, M Takemura… - Structures, 2023 - Elsevier
Surface crack patterns have been considered to determine the shear failure behavior of RC
beams but the effect of three-dimensional crack propagation on shear crack development …
beams but the effect of three-dimensional crack propagation on shear crack development …
Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learning
The primary focus of this study is to analyze the impact of different components of fly ash
recycled aggregate concrete (FARAC) on its elastic properties, aiming to suggest it as a …
recycled aggregate concrete (FARAC) on its elastic properties, aiming to suggest it as a …
Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies
N Chelimilla, V Chinthapenta… - Structural Health …, 2023 - journals.sagepub.com
The integrity of bolted joints is still a challenging problem owing to the gross or localized slip
at the interfacial surfaces of the joints when subjected to external disturbances such as …
at the interfacial surfaces of the joints when subjected to external disturbances such as …
Synergistic collaboration of motion-based metaheuristics for the strength prediction of cement-based mortar materials using TSK model
S Farahmand-Tabar, S Shirgir - Handbook of Formal Optimization, 2024 - Springer
Considering mortar material's extensive use in construction over the last few decades, a
robust and reliable method is required to estimate its strength based on mix parameters. The …
robust and reliable method is required to estimate its strength based on mix parameters. The …