Updating the "Decision Aids for Tunneling"

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000.

Bibliographic Details
Main Author: Haas, Christoph, 1973-
Other Authors: Herbert H. Einstein.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/31090
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author Haas, Christoph, 1973-
author2 Herbert H. Einstein.
author_facet Herbert H. Einstein.
Haas, Christoph, 1973-
author_sort Haas, Christoph, 1973-
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000.
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spelling mit-1721.1/310902019-04-10T13:14:22Z Updating the "Decision Aids for Tunneling" Updating the DAT Haas, Christoph, 1973- Herbert H. Einstein. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000. Includes bibliographical references (p. 151). The "Decision Aids for Tunneling" (DAT) are a procedure and computer code which can be used to assess uncertainties which are caused by the geologic / geotechnical conditions and from the construction process. In particular the DAT can be used to predict construction costs and time. The computer code determines the overall uncertainty which results from the many individual uncertainties that are present in a tunneling project. These individual uncertainties are input parameters and must be specified by the user. While construction is in progress there is a need for updated predictions. These can be used for improvements in scheduling, resource allocation, financial planning and so on. This work presents an updating procedure and associated code which allows one to refine predictions during construction. Updating not only involves replacing the original prediction by actual data from the excavation but also includes a learning effect. This uses information from the actual excavation to arrive at an improved prediction for the un-excavated part. The Updating Module of the DAT is a tool which helps the user refining input parameters by deriving relevant information from construction data and presenting it together with original input. Graphical presentation of original input, construction information and updated input assists in the interpretation of the information. A mathematical model which is based on Bayes' theorem makes the code also capable of suggesting updated input parameters in some cases. An example project shows that the learning effect has a significant impact on the precision of the prediction and reduces the uncertainty substantially. by Christoph Haas. S.M. 2006-02-02T18:46:55Z 2006-02-02T18:46:55Z 2000 2000 Thesis http://hdl.handle.net/1721.1/31090 47259627 eng 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 373 p. 18098215 bytes 18149274 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Civil and Environmental Engineering.
Haas, Christoph, 1973-
Updating the "Decision Aids for Tunneling"
title Updating the "Decision Aids for Tunneling"
title_full Updating the "Decision Aids for Tunneling"
title_fullStr Updating the "Decision Aids for Tunneling"
title_full_unstemmed Updating the "Decision Aids for Tunneling"
title_short Updating the "Decision Aids for Tunneling"
title_sort updating the decision aids for tunneling
topic Civil and Environmental Engineering.
url http://hdl.handle.net/1721.1/31090
work_keys_str_mv AT haaschristoph1973 updatingthedecisionaidsfortunneling
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