Analyzing the efficacy of waste marble and glass powder for the compressive strength of self-compacting concrete using machine learning strategies
QT Guan, ZL Tong, MN Amin, B Iftikhar… - Reviews on Advanced …, 2024 - degruyter.com
Self-compacting concrete (SCC) is well-known for its capacity to flow under its own weight,
which eliminates the need for mechanical vibration and provides benefits such as less labor …
which eliminates the need for mechanical vibration and provides benefits such as less labor …
A Comprehensive Review of Drop Weight Impact Testing: Evaluating the Pros and Cons in Fiber-Reinforced Concrete Performance Assessment
This article provides a comprehensive review of current literature, concentrating on the
impact resistance of various fibrous concretes subjected to drop-weight impact loads, as …
impact resistance of various fibrous concretes subjected to drop-weight impact loads, as …
Application of novel deep neural network on prediction of compressive strength of fly ash based concrete
Fly ash (FA)-based high-strength concrete (HSC) has attracted significant interest due to its
potential to substitute Portland cement, offering both environmental benefits and improved …
potential to substitute Portland cement, offering both environmental benefits and improved …
Physical & mechanical properties of pervious concrete incorporating municipal solid waste incineration bottom ash
H Song, S Fan, J Che, J Yao, Y Lee - Journal of Building Engineering, 2024 - Elsevier
Municipal solid waste incineration bottom ash (BA) as a cementitious substitute in pervious
concrete constitutes a viable strategy for waste recycling and carbon emission mitigation …
concrete constitutes a viable strategy for waste recycling and carbon emission mitigation …
Reinventing Concrete: Sustainable Nano-Alumina from Metallic Waste-Cans and Nano-Ferrite for Next-Generation Green Magnetite Heavyweight Concrete
DE Tobbala, GM Khesha, RS Salama… - Journal of Building …, 2024 - Elsevier
For the first time, sustainable nano-alumina, obtained from metallic waste-cans, is employed
in green heavyweight magnetite concrete (GHMC). The GHMC mixes comprised fixed …
in green heavyweight magnetite concrete (GHMC). The GHMC mixes comprised fixed …
Determination of concrete compressive strength from surface images with the integration of CNN and SVR methods
In this study, a new method has been developed using Convolutional Neural Networks
(CNN) and Support Vector Regression (SVR) integration to determine the compressive …
(CNN) and Support Vector Regression (SVR) integration to determine the compressive …
Enhancing Concrete Workability Prediction Through Ensemble Learning Models: Emphasis on Slump and Material Factors
J Jiang, C Xin, S Wu, W Chen, H Li… - Advances in Civil …, 2024 - Wiley Online Library
This study advances concrete workability prediction by integrating ensemble learning
models like Random Forest (RF), Extreme Gradient Boosting (XGBoost), adaptive boosting …
models like Random Forest (RF), Extreme Gradient Boosting (XGBoost), adaptive boosting …
Influence of alkaline binders on the workability and strength of self compacting geopolymer concrete
V Alagarsamy, FCC Edwardraj, M Muthiah… - Zastita …, 2024 - zastita-materijala.org
Self-compacting geopolymer concrete (SCGC) has emerged as a promising alternative to
traditional concrete due to its environmental benefits. In SCGC, alkaline binders, such as …
traditional concrete due to its environmental benefits. In SCGC, alkaline binders, such as …