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 …
Error metrics and performance fitness indicators for artificial intelligence and machine learning in engineering and sciences
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …
predicting the compressive strength (CS) of concrete, an important parameter used for …
Efficient machine learning models for prediction of concrete strengths
In this study, an efficient implementation of machine learning models to predict compressive
and tensile strengths of high-performance concrete (HPC) is presented. Four predictive …
and tensile strengths of high-performance concrete (HPC) is presented. Four predictive …
Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …
techniques capable of delivering elegant and affordable solutions which can surpass those …
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 …
Predicting the compressive strength of concrete containing metakaolin with different properties using ANN
The advantages of using Metakaolin (MK) as a supplementary cementitious material have
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …
led this highly active pozzolan to be widely used in the concrete industry. Awareness of the …
New prediction models for the compressive strength and dry-thermal conductivity of bio-composites using novel machine learning algorithms
Bio-composites have become the prime material selection for green concrete because of the
increasing awareness of environmental issues. Due to their highly heterogenous nature …
increasing awareness of environmental issues. Due to their highly heterogenous nature …
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 …
High-performance concrete strength prediction based on ensemble learning
QF Li, ZM Song - Construction and Building Materials, 2022 - Elsevier
The compressive strength and tensile strength of high-performance concrete (HPC) are
important mechanical property indexes. However, the related mechanical tests are time …
important mechanical property indexes. However, the related mechanical tests are time …