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YencoA.the (final comments).pdf (1.92 MB)
ETD Abstract Container
Abstract Header
Decision Tree for Ground Improvement in Transportation Applications
Author Info
Yenco, Aileen C
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=akron1384435786
Abstract Details
Year and Degree
2013, Master of Science, University of Akron, Civil Engineering.
Abstract
Problematic soils can damage structures residing on them, such as roadway pavement, if left untreated. The damage occurs due to a multitude of reasons: low bearing capacity, low shear strength, collapse of voids, uplift or consolidation of the soil. Ideally, these problematic soils are identified and treated prior to construction so that damage of the structure can be avoided altogether. Many ground improvement methods exist today and each has its limitations. There is a need to narrow down only compatible options for a project. This process can be done with a decision tree. This paper provides a literature review of 6 different types of ground improvement methods from which a decision tree is created. This tree is meant to serve as practical guidance for those considering ground treatment options on a project site.
Committee
Robert Liang, Dr. (Advisor)
Junliang Tao, Dr. (Committee Member)
Anil Patnaik, Dr. (Committee Member)
Pages
77 p.
Subject Headings
Civil Engineering
;
Geotechnology
Keywords
ground improvement, drains
;
controlled modulus columns
;
column-supported embankments
;
soil mixing
;
polyurethane injection
;
dynamic compaction
;
geotechnology
;
civil engineering
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Citations
Yenco, A. C. (2013).
Decision Tree for Ground Improvement in Transportation Applications
[Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1384435786
APA Style (7th edition)
Yenco, Aileen.
Decision Tree for Ground Improvement in Transportation Applications.
2013. University of Akron, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=akron1384435786.
MLA Style (8th edition)
Yenco, Aileen. "Decision Tree for Ground Improvement in Transportation Applications." Master's thesis, University of Akron, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1384435786
Chicago Manual of Style (17th edition)
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Document number:
akron1384435786
Download Count:
5,926
Copyright Info
© 2013, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.