TECHNICAL PAPERS
Jan 1, 1986

Digital Signal Processing of Geotechnical Data

Publication: Journal of Engineering Mechanics
Volume 112, Issue 1

Abstract

The present‐day electronic technology has made availability of a large volume of monitoring data for large projects a reality. However, such data automatically contain random noise which only when eliminated provide a reliable set of data depicting the site conditions. This paper presents a method, based on digital signal processing principles, to optimize elimination of noise from such data. The method is based on simple applications of digital signal processing techniques. The method of application is explained through an actual case study and concludes with possible application of such methods in geotechnical and structural monitoring.

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References

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Bendat, J. S., and Piersol, A. G., Random Data‐Analysis and Measurement Procedures, Wiley‐Interscience, New York, NY, 1971.
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Champeney, D. C., Fourier Transforms and Their Physical Applications, Academic Press, London, England, 1973.
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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 112Issue 1January 1986
Pages: 70 - 83

History

Published online: Jan 1, 1986
Published in print: Jan 1986

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Authors

Affiliations

Satyananda Chakrabarti, A. M. ASCE
Sr. Proj. Engr., IT Corp., Pittsburgh, PA
Donald E. Shaw
Consulting Engr., Pittsburgh, PA; formerly Mgr., Special Projects, D'Appolonia Waste Management Services, Pittsburgh, PA
Dale E. Stephenson, Members, ASCE
Research Staff, E. I. Dupont Nemours & Co., Savannah River Laboratory, Aiken, SC; formerly Proj. Supervisor, D'Appolonia Waste Management Services, Pittsburgh, PA
B. V. K. Vijaya Kumar
Asst. Prof., Dept. of Electrical and Computer Engrg., Carnegie‐Mellon Univ., Pittsburgh, PA

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