Results 321 to 330 of about 3,010,294 (345)

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

Neural computing & applications (Print), 2020
D. J. Armaghani, P. G. Asteris
semanticscholar   +1 more source

Prediction of compressive strength of concrete

Matériaux et Constructions, 1974
The paper, which summarises a survey and an analysis of empirical strength laws, was undertaken with a view to formulating a strength law interrelating the water-cement ratio-which determines the porosity of the hardened cement-paste-and Powers's Gel/Space ratio, giving the relative strength of the cement stone.
openaire   +2 more sources

Systematic multiscale models to predict the compressive strength of self-compacting concretes modified with nanosilica at different curing ages

Engineering computations, 2021
Rabar H. Faraj, A. Mohammed, Ahmed S. Mohammed, Khalid M. Omer, H. Ahmed   +4 more
semanticscholar   +1 more source

Compressive strength of materials

Journal of Applied Mechanics and Technical Physics, 1978
V. S. Nikiforovskii, M. M. Muzdakbaev
openaire   +2 more sources

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Construction and Building Materials, 2020
D. Feng, Zhen-Tao Liu, Xiao-Dan Wang, Yin Chen, Jianbo Chang, Dongmei Wei, Zhong-Ming Jiang   +6 more
semanticscholar   +1 more source

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

Engineering computations, 2020
Jin Duan, P. G. Asteris, Hoang Nguyen, X. Bui, H. Moayedi   +4 more
semanticscholar   +1 more source

COMPRESSION STRENGTH

1971
W.J. ROFF, J.R. SCOTT
openaire   +2 more sources

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

, 2020
E. Golafshani, A. Behnood, M. Arashpour
semanticscholar   +1 more source

Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment

Environmental science and pollution research international, 2021
S. Latif
semanticscholar   +1 more source

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

Engineering computations, 2020
M. Shariati, M. S. Mafipour, Behzad Ghahremani, Fazel Azarhomayun, M. Ahmadi, T. Nguyen-Thoi, A. Shariati   +6 more
semanticscholar   +1 more source