Abstract
The Rotational Haar Wavelet Transform (RHWT) method, that mimics human cognition to automate soil fabric characterization, is presented. An image of a soil is divided into numerous subareas, for which pattern directions are obtained, and then used to develop a fabric rose diagram and parameters for a cross-anisotropic fabric tensor. Based on the images of eleven sand and three rice specimens at loose and dense conditions, a strong functional relationship is shown for the fabric vector magnitude based on particle sphericity and relative density. Furthermore, a very simple and practical relationship is presented for the fabric vector magnitude based only on the relative density and the void ratio at 50% relative density.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
