Predictive models for concrete properties using machine learning and deep learning approaches: A review
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Machine learning prediction of mechanical properties of concrete: Critical review
Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …
these properties are often required by design codes. The emergence of new concrete …
[HTML][HTML] A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations …
Abstract Machine learning (ML) techniques are often employed for the accurate prediction of
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …
Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer
Achieving a reliable model for predicting the compressive strength (CS) of concrete can
save in time, energy, and cost and also provide information about scheduling for …
save in time, energy, and cost and also provide information about scheduling for …
A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm
Q Han, C Gui, J Xu, G Lacidogna - Construction and Building Materials, 2019 - Elsevier
The prediction results of high-performance concrete compressive strength (HPCCS) based
on machine learning methods are seriously influenced by input variables and model …
on machine learning methods are seriously influenced by input variables and model …
Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves
A Behnood, EM Golafshani - Journal of cleaner production, 2018 - Elsevier
The use of silica fume as a partial replacement for Ordinary Portland Cement provides a
wide variety of benefits such as reduced pressure on natural resources, reduced CO 2 …
wide variety of benefits such as reduced pressure on natural resources, reduced CO 2 …
A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
The compressive and tensile strength of high-performance concrete (HPC) is a highly
nonlinear function of its constituents. The significance of expert frameworks for predicting the …
nonlinear function of its constituents. The significance of expert frameworks for predicting the …
Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
For the optimization of concrete mixture proportions, multiple objectives (eg, strength, cost,
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm
The use of supplementary cementitious materials such as ground granulated blast furnace
slag (GGBFS) in concrete mixtures provides many technical and economic benefits. The use …
slag (GGBFS) in concrete mixtures provides many technical and economic benefits. The use …
Assessment of longstanding effects of fly ash and silica fume on the compressive strength of concrete using extreme learning machine and artificial neural network
Compressive Strength (CS) is an important mechanical feature of concrete taken as an
essential factor in construction. The current study has investigated the effect of fly ash and …
essential factor in construction. The current study has investigated the effect of fly ash and …