Location

New York, New York

Date

15 Apr 2004, 1:00pm - 2:45pm

Abstract

A new technique using dimensional analysis (D.A.) is presented here to draw profile of phreatic line through an earthen dam. A universal equation is formulated using D.A. to get numerous points on a steady-state phreatic surface. The prediction of phreatic line using D.A. is then compared with those of conventional methods by Kozeny, A. Casagrande, Stello and also with centrifuge model test results and large scale prototype field results to evaluate applicability of this equation. It has been observed that D.A. can predict the results reasonably well. Thus Dimensional Analysis method can prove to be an easy and sufficiently accurate method to predict solutions to complex and multiparameter problems.

Department(s)

Civil, Architectural and Environmental Engineering

Meeting Name

5th Conference of the International Conference on Case Histories in Geotechnical Engineering

Publisher

University of Missouri--Rolla

Document Version

Final Version

Rights

© 2004 University of Missouri--Rolla, All rights reserved.

Creative Commons Licensing

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Document Type

Article - Conference proceedings

File Type

text

Language

English

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Estimation of Phreatic Line Using Dimensional Analysis

New York, New York

A new technique using dimensional analysis (D.A.) is presented here to draw profile of phreatic line through an earthen dam. A universal equation is formulated using D.A. to get numerous points on a steady-state phreatic surface. The prediction of phreatic line using D.A. is then compared with those of conventional methods by Kozeny, A. Casagrande, Stello and also with centrifuge model test results and large scale prototype field results to evaluate applicability of this equation. It has been observed that D.A. can predict the results reasonably well. Thus Dimensional Analysis method can prove to be an easy and sufficiently accurate method to predict solutions to complex and multiparameter problems.