Machine learning in concrete science: applications, challenges, and best practices
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …
human development. Despite conceptual and methodological progress in concrete science …
Optimization of mixture proportions by statistical experimental design using response surface method-A review
Z Li, D Lu, X Gao - Journal of Building Engineering, 2021 - Elsevier
A comprehensive review of the statistical experimental optimization problem concerning the
mixture design of various cement-based materials is presented herein. This review …
mixture design of various cement-based materials is presented herein. This review …
Machine learning prediction of concrete compressive strength using rebound hammer test
Abstract Machine learning has become a key branch in artificial intelligence by providing
unique predictive modeling solutions. Predicting the compressive strength of concrete …
unique predictive modeling solutions. Predicting the compressive strength of concrete …
Concrete compressive strength by means of ultrasonic pulse velocity and moduli of elasticity
Developing non-destructive methods (NDT) that can deliver faster and more accurate results
is an objective pursued by many researchers. The purpose of this paper is to present a new …
is an objective pursued by many researchers. The purpose of this paper is to present a new …
Assessment of concrete strength using the combination of NDT—review and performance analysis
B Kouddane, ZM Sbartaï, M Alwash, K Ali-Benyahia… - Applied Sciences, 2022 - mdpi.com
This paper presents a review on combining NDT techniques, such as rebound hammer and
ultrasonic pulse velocity, for assessing concrete compressive strength. These methods …
ultrasonic pulse velocity, for assessing concrete compressive strength. These methods …
Modeling of compressive strength and UPV of high-volume mineral-admixtured concrete using rule-based M5 rule and tree model M5P classifiers
Compressive strength and UPV parameters are the methods that are used to determine high-
volume mineral admixture concrete quality. But experiments for all levels of these …
volume mineral admixture concrete quality. But experiments for all levels of these …
A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
different dimensionality, resolution, type, etc.) to generate information in a form that is more …
Potential use of rendering mortar waste powder as a cement replacement material: fresh, mechanical, durability and microstructural properties
The difficulty of decomposing solid waste over time has made it a significant global problem
because of its environmental impact and the need for large areas for disposal. Among these …
because of its environmental impact and the need for large areas for disposal. Among these …
Prediction of compressive strength of partially saturated concrete using machine learning methods
MDE Candelaria, SH Kee, KS Lee - Materials, 2022 - mdpi.com
The aim of this research is to recommend a set of criteria for estimating the compressive
strength of concrete under marine environment with various saturation and salinity …
strength of concrete under marine environment with various saturation and salinity …
The hybrid effects of basalt and PVA fiber on properties of a cementitious composite: Physical properties and non-destructive tests
This study aimed to experimentally examine the physical properties and non-destructive
properties of cementitious composites for different hybrid basalt and PVA fiber contents. The …
properties of cementitious composites for different hybrid basalt and PVA fiber contents. The …