Artificial neural network permeability modeling of soil blended with fly ash

• Main Authors: Dungca, Jonathan R., Galupino, Joenel G.
• Format: text
• Published: Animo Repository 2017
• Subjects: Soil permeability—Testing; Waste products; Fly ash; Neural networks (Computer science); Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1915
• Institution: De La Salle University

The determination of the permeability properties of soil is important in designing civil engineering projects where the flow of water through soil is a concern. ASTM D2434 Standard Test Method for Permeability of Granular Soils (Constant Head & Falling Head) is being followed to determine the ve...