Evaluation of Multiple Influences on the Unconfined Compressive Strength of Fibre-Reinforced Backfill Using a GWO-LGBM Model. [PDF]
Chen X +5 more
europepmc +1 more source
Prediction of unconfined compressive strength of fly ash and waste paper sludge stabilized clayey soil using explainable machine learning. [PDF]
Aggarwal V +9 more
europepmc +1 more source
Prediction of the Unconfined Compressive Strength of One-Part Geopolymer-Stabilized Soil Under Acidic Erosion: Comparison of Multiple Machine Learning Models. [PDF]
Zhang J, Hu G, Zhang J, Wu J.
europepmc +1 more source
Assessment of unconfined compressive strength of nano-doped fly ash-treated clayey soil using machine learning tools. [PDF]
Kumar A, Sinha S, Pradhananga R.
europepmc +1 more source
Advanced machine learning models for predicting unconfined compressive strength from point load strength index of rock samples from Chennai and Bangalore. [PDF]
Kochukrishnan S +3 more
europepmc +1 more source
Properties of Unconfined Compressive Strength of Thawy Soils
NAGASAWA, Tetsuaki, UMEDA, Yasuharu
openaire +1 more source
Machine learning-based prediction of unconfined compressive strength of organic-rich clay shales using hybrid destructive and non-destructive inputs. [PDF]
Ali M, Aziz M, Ali A, Ali U.
europepmc +1 more source
Effect of Polypropylene and Straw Fiber Materials on the Unconfined Compressive Strength of Tailings and Wasted Stone Mixed Backfill. [PDF]
Shi X, Shi Y, Chen X, Wang W.
europepmc +1 more source
Unconfined Compressive Strength of CementStabilized Pond Ash
openaire +1 more source
Effect of Grain Size and Porosity/Binder Index on the Unconfined Compressive Strength, Stiffness and Microstructure of Cemented Colombian Sands. [PDF]
López LCS +4 more
europepmc +1 more source

