Improving geotechnical properties of closed landfills for redevelopment using fly ash and quicklime [PDF]
University of Technology, Sydney. Faculty of Engineering and Information Technology.Many closed municipal solid waste (MSW) landfills are located near urban areas, even though originally established away from residential or commercial communities ...
Fatahi, B
core
The Role of Shrinkage Strains Causing Early-Age Cracking in Cast-in-Place Concrete Bridge Decks [PDF]
Early-age cracking in cast-in-place reinforced concrete bridge decks is occurring more frequently now than three decades ago and principle factors that lead to early-age deck cracking are not fully understood. A finite element (FE) simulation methodology
Foley, Christopher M. +2 more
core +1 more source
A Geomechanical Study of the Mississippian Boone Formation [PDF]
The Boone Formation in northwest Arkansas is a chert-limestone sequence analogous to the subsurface Mississippi Lime reservoir in parts of Oklahoma and Kansas. It has low permeability and produces via horizontal drilling and hydraulic fracturing.
Buckland, Karen Nicole Mason
core +2 more sources
Effect of Static Soaking Under Different Temperatures on the Lime Stabilized Gypseous Soil
This study concerns with the effect of long-term soaking on the unconfined compressive strength, loss in weight and gypsum dissolution of gypseous soil stabilized with (4%) lime, take into account the following variables: initial water content, water ...
Abdulrahman Al-Zubaydi
doaj
Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine. [PDF]
Abdellatief M, Mortagi M.
europepmc +1 more source
Behaviour of large-scale columns confined with FRP composites in compression [PDF]
Audenaert, Katrien +3 more
core +1 more source
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 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

