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Herbert H. Einstein. Kwa, Chin Soon Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering a-si--- 2015-10-30T18:59:50Z 2015-10-30T18:59:50Z 2015 2015 http://hdl.handle.net/1721.1/99604 925486200 Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 89-94). Singapore conducted various cavern studies since the 1990s, and has since constructed two caverns. The study done in this thesis concentrates on an area of interest within South-Western Singapore, using four logged boreholes that are each 200 meters in depth. Through the use of the empirical methods, the RQD and Q-system, rock support can be estimated for different ground classes for an assumed cavern size. The cost per cubic meter of cavern construction, which includes excavation support using bolts and shotcrete, and grouting, is then estimated. To account for the variability of the ground in the area of interest, probabilistic analyses and assessments of the rock mass parameters derived from the boreholes were carried out. Discrete probabilities were obtained from observed frequencies, and and depth and spatial variability are assessed. Depth Selector Maps (DSM) are created to give planners an indication of the ideal location of a cavern, both in depth and spatially, by providing them with an indication of the variability of the ground so that planners can take the associated uncertainty into consideration when making decisions. by Chin Soon Kwa. M.Eng. 94 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Civil and Environmental Engineering. Probabilistic assessment of engineering rock properties in Singapore for cavern feasibility Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e579c426-0016-483a-99d4-18b41fb8c859"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Probabilistic assessment of engineering rock properties in Singapore for cavern feasibility</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Kwa, Chin Soon</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Civil and Environmental Engineering.</Keyword> <Abstract>Singapore conducted various cavern studies since the 1990s, and has since constructed two caverns. The study done in this thesis concentrates on an area of interest within South-Western Singapore, using four logged boreholes that are each 200 meters in depth. Through the use of the empirical methods, the RQD and Q-system, rock support can be estimated for different ground classes for an assumed cavern size. The cost per cubic meter of cavern construction, which includes excavation support using bolts and shotcrete, and grouting, is then estimated. To account for the variability of the ground in the area of interest, probabilistic analyses and assessments of the rock mass parameters derived from the boreholes were carried out. Discrete probabilities were obtained from observed frequencies, and and depth and spatial variability are assessed. Depth Selector Maps (DSM) are created to give planners an indication of the ideal location of a cavern, both in depth and spatially, by providing them with an indication of the variability of the ground so that planners can take the associated uncertainty into consideration when making decisions.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>