Building materials obtained by recycling coal ash and waste drilling fluid and characterization of engineering properties by means of Artificial Neural Networks
Abstract
Recycling ash from coal combustion deposited in dump sites and waste drilling fluid (WDF) from oil extraction industry for the purpose of partial replacement of clay in construction materials was investigated. Compressive strength, density and pore density were determined experimentally following standard procedures for test specimens manufactured from mixtures of the two waste materials and clay in varying proportions. A neural network model...
Paper Details
Title
Building materials obtained by recycling coal ash and waste drilling fluid and characterization of engineering properties by means of Artificial Neural Networks
Published Date
Dec 1, 2019
Volume
227
Pages
116616 - 116616
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