Cover Image

Rock Mass Discontinuity Characterisation Using Image Analysis

Measuring spatial attitude (dip and dip direction) of rock mass discontinuities is usually done by hand with a compass/clinometer via scanline survey, which takes time and involves some censoring. For rock slope practitioners, digital photogrammetry has evolved into a helpful remote characterisat...

Full description

Saved in:
Bibliographic Details
Main Author: Ahmadi, Asma'
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2021
Subjects:
T Technology
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.usm.my/57300/1/Rock%20Mass%20Discontinuity%20Characterisation%20Using%20Image%20Analysis.pdf
http://eprints.usm.my/57300/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.usm.eprints.57300
record_format eprints
spelling my.usm.eprints.57300 http://eprints.usm.my/57300/ Rock Mass Discontinuity Characterisation Using Image Analysis Ahmadi, Asma' T Technology TA Engineering (General). Civil engineering (General) Measuring spatial attitude (dip and dip direction) of rock mass discontinuities is usually done by hand with a compass/clinometer via scanline survey, which takes time and involves some censoring. For rock slope practitioners, digital photogrammetry has evolved into a helpful remote characterisation technique, especially in circumstances where physical discontinuity measuring is difficult or risky. In this study, models are designed, and 3D printed as to create a control environment which represent the actual rock mass discontinuity commonly found at site. Data acquisition is obtained by using a smartphone, Apple iPhone 12 Pro and an Unmanned Aerial Vehicle (UAV), DJI Phantom 4 Pro mounted with 20 megapixels camera to collect multiple overlapping images. For 3D analysis, these images are transformed into dense point cloud data using Metashape software and later computed in CloudCompare to obtain the orientation results in terms of dip and dip direction by utilising its FACET plugin. Meanwhile, one single image of the surface of the model is computed in the Working Face software to compute for the 2D analysis. Comparison between the two analyses show the capabilities and limitations of each of the softwares used in this research in detecting the nature of discontinuities. Universiti Sains Malaysia 2021-10-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/57300/1/Rock%20Mass%20Discontinuity%20Characterisation%20Using%20Image%20Analysis.pdf Ahmadi, Asma' (2021) Rock Mass Discontinuity Characterisation Using Image Analysis. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Awam. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology
TA Engineering (General). Civil engineering (General)
Ahmadi, Asma'
Rock Mass Discontinuity Characterisation Using Image Analysis
description Measuring spatial attitude (dip and dip direction) of rock mass discontinuities is usually done by hand with a compass/clinometer via scanline survey, which takes time and involves some censoring. For rock slope practitioners, digital photogrammetry has evolved into a helpful remote characterisation technique, especially in circumstances where physical discontinuity measuring is difficult or risky. In this study, models are designed, and 3D printed as to create a control environment which represent the actual rock mass discontinuity commonly found at site. Data acquisition is obtained by using a smartphone, Apple iPhone 12 Pro and an Unmanned Aerial Vehicle (UAV), DJI Phantom 4 Pro mounted with 20 megapixels camera to collect multiple overlapping images. For 3D analysis, these images are transformed into dense point cloud data using Metashape software and later computed in CloudCompare to obtain the orientation results in terms of dip and dip direction by utilising its FACET plugin. Meanwhile, one single image of the surface of the model is computed in the Working Face software to compute for the 2D analysis. Comparison between the two analyses show the capabilities and limitations of each of the softwares used in this research in detecting the nature of discontinuities.
format Monograph
author Ahmadi, Asma'
author_facet Ahmadi, Asma'
author_sort Ahmadi, Asma'
title Rock Mass Discontinuity Characterisation Using Image Analysis
title_short Rock Mass Discontinuity Characterisation Using Image Analysis
title_full Rock Mass Discontinuity Characterisation Using Image Analysis
title_fullStr Rock Mass Discontinuity Characterisation Using Image Analysis
title_full_unstemmed Rock Mass Discontinuity Characterisation Using Image Analysis
title_sort rock mass discontinuity characterisation using image analysis
publisher Universiti Sains Malaysia
publishDate 2021
url http://eprints.usm.my/57300/1/Rock%20Mass%20Discontinuity%20Characterisation%20Using%20Image%20Analysis.pdf
http://eprints.usm.my/57300/
_version_ 1761617381785862144
score 13.211869

Similar Items