Results 21 to 30 of about 335,451 (304)

Prediction model for compressive strength of rock-steel fiber reinforced concrete composite layer

Rock and Soil Mechanics, 2021
To study the uniaxial compressive strength calculation method of rock-steel fiber reinforced concrete (R-SFRC) composite layer, uniaxial compression test was carried out on rock, steel fiber reinforced concrete and R-SFRC composite layer specimens.
CHEN Meng, CUI Xiu-wen, YAN Xin, WANG Hao, WANG Er-lei   +4 more
doaj   +1 more source

Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA

Buildings, 2021
To minimize the environmental risks and for sustainable development, the utilization of recycled aggregate (RA) is gaining popularity all over the world. The use of recycled coarse aggregate (RCA) in concrete is an effective way to minimize environmental
Ayaz Ahmad, K. Chaiyasarn, Furqan Farooq, Waqas Ahmad, Suniti Suparp, Fahid Aslam   +5 more
semanticscholar   +1 more source

Predicting Mortar Compressive Strength Using HYDCEM [PDF]

, 2020
The compressive strength of mortar is a significant property that will influence its performance in concrete or masonry. Being able to accurately model and predict the mortar compressive strength would be of great benefit to suppliers and end users alike that could possibly reduce the need for multiple physical testing. A section of the original HYDCEM
Ogoro, Ewoma, Holmes, Niall, Kelliher, Denis, Tyrer, Mark   +3 more
openaire   +1 more source

Towards Sustainable Construction Materials: A Comparative Study of Prediction Models for Green Concrete with Metakaolin

Buildings, 2022
Cement-based materials are widely used in transportation, construction, national defense, and other fields, due to their excellent properties. High performance, low energy consumption, and environmental protection are essential directions for the ...
Jiandong Huang, Mengmeng Zhou, Hongwei Yuan, Mohanad Muayad Sabri Sabri, Xiang Li   +4 more
doaj   +1 more source

PREDICTION OF THE COMPRESSIVE STRENGTH OF ENVIRONMENTALLY FRIENDLY CONCRETE USING ARTIFICIAL NEURAL NETWORK [PDF]

Applied Computer Science, 2022
The paper evaluated the possibility of using artificial neural network models for predicting the compressive strength (Fc) of concretes with the addition of recycled concrete aggregate (RCA).
Monika KULISZ , Justyna KUJAWSKA , Zulfiya AUBAKIROVA , Gulnaz ZHAIRBAEVA , Tomasz WAROWNY   +4 more
doaj   +1 more source

Compressive Strength Prediction of High-Strength Concrete Using Long Short-Term Memory and Machine Learning Algorithms

Buildings, 2022
Compressive strength is an important mechanical property of high-strength concrete (HSC), but testing methods are usually uneconomical, time-consuming, and labor-intensive. To this end, in this paper, a long short-term memory (LSTM) model was proposed to
Honggen Chen, Xin Li, Yanqi Wu, Le Zuo, Mengjie Lu, Yisong Zhou   +5 more
semanticscholar   +1 more source

Modelling the strength of lightweight foamed concrete using support vector machine (SVM)

Case Studies in Construction Materials, 2017
Strength of concrete is a primary criterion in selecting this material for a particular application. This construction material gains strength over a long period of time after pouring.
Abbas M. Abd, Suhad M. Abd
doaj   +1 more source

Data-Driven Compressive Strength Prediction of Fly Ash Concrete Using Ensemble Learner Algorithms

Buildings, 2022
Concrete is one of the most popular materials for building all types of structures, and it has a wide range of applications in the construction industry.
M. S. Barkhordari, D. J. Armaghani, A. Mohammed, D. Ulrikh   +3 more
semanticscholar   +1 more source

Numerical Test and Strength Prediction of Concrete Failure Process Based on RVM Algorithm

Buildings, 2022
Recycled aggregate concrete (RAC) based on the machine learning (ML) method predicts the nonlinear uncertainty relationship between various mixing ratios and strength.
Chunyang Xia, Xuedong Guo, Wenting Dai
doaj   +1 more source

Environmentally Friendly Concrete Compressive Strength Prediction Using Hybrid Machine Learning

Sustainability, 2022
In order to reduce the adverse effects of concrete on the environment, options for eco-friendly and green concretes are required. For example, geopolymers can be an economically and environmentally sustainable alternative to portland cement.
E. Mansouri, M. Manfredi, J. Hu
semanticscholar   +1 more source