Using artificial neural network and genetics algorithm to estimate the resilient modulus for stabilized subgrade and propose new empirical formula-Reference-Cited by-同舟云学术

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Using artificial neural network and genetics algorithm to estimate the resilient modulus for stabilized subgrade and propose new empirical formula

Published:2020-09 Issue: Volume:24 Page:100358
ISSN:2214-3912
Container-title:Transportation Geotechnics
language:en
Short-container-title:Transportation Geotechnics

Author:

Hanandeh Shadi,Ardah Allam,Abu-Farsakh Murad

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Transportation,Civil and Structural Engineering

Reference27 articles.

1. Reinhold F. Elastic behavior of soil-cement mixes. Highw Res Board Bull 108, HRB, Washington, DC; 1955;108: 128–37 HRB.

2. Cementation of soil minerals with Portland cement or alkalis;Handy;Highw Res Board Bull,1958

3. Lund OL, Ramsey WJ. Experimental lime stabilization in Nebraska. Geo Congr ASCE. Lund, O. L; 1959. p. 1073–80.

4. Jones R. measurement of elastic and strength properties of cemented materials in road bases. n.d.

5. Effectiveness of portland cement and lime in stabilizing clay soils;Prusinski;Transp Res Rec,1998

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