TECHNICAL NOTES
Jun 13, 2003

Measured and Estimated Suction Indices for Swelling Potential Classification

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 129, Issue 7

Abstract

McKeen’s expansive soil classification methodology relies on a parameter referred to as the “total suction-water content index” for describing the slope of the soil–water characteristic curve on a semilog plot. The swelling potential of expansive soils is qualitatively classified (e.g., “low” or “high”) based on the magnitude of the total suction-water content index. This study examines the validity of using a “benchmark intercept simplification” for indirectly estimating the total suction-water content index when complete soil–water characteristic measurements are not available or economical. Suction indices estimated using the benchmark intercept simplification are compared with indices measured directly using the noncontact filter paper technique for 80 undisturbed expansive shale specimens from the Colorado Front Range Corridor. The results show that the suction-water content index is consistently overestimated using the benchmark simplification by amounts ranging from negligible to 50%, and averaging 23%. For 49 of the 80 specimens (61%), the estimated indices fall in different swelling potential categories than the measured indices. In 44 of the 49 cases (90%), the estimated indices fall in higher swelling potential categories than the measured indices. These discrepancies reflect potential errors that may arise from the use of the benchmark intercept simplification in classifying expansive soils.

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References

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Information

Published In

Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 129Issue 7July 2003
Pages: 665 - 668

History

Received: May 21, 2002
Accepted: Sep 11, 2002
Published online: Jun 13, 2003
Published in print: Jul 2003

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Authors

Affiliations

William J. Likos
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Missouri—Columbia, Columbia, MO 65211.
Harold W. Olsen
Research Professor, Engineering Division, Colorado School of Mines, Golden, CO 80401.
Lisa Krosley
Graduate Research Assistant, Engineering Division, Colorado School of Mines, Golden, CO 80401.
Ning Lu
Associate Professor, Engineering Division, Colorado School of Mines, Golden, CO 80401.

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