Segregation Index—A New Soil Parameter for Internal Erosion Assessment

To, Peter, and Le Van, Thinh (2022) Segregation Index—A New Soil Parameter for Internal Erosion Assessment. In: Lecture Notes in Civil Engineering (203) pp. 1171-1179. From: CIGOS 2021: Emerging Technologies and Applications for Green Infrastructure, 28-29 October 2021, Hanoi, Vietnam.

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Abstract

Internal erosion is a major cause related to nearly half of dam dysfunctions and failures. This phenomenon occurs when loose soil particles are transported outwards the soil mass by seepage through a series of pores and pore constrictions. As loose particles are usually fine and embedded in the pores formed by the soil primary fabric, traditional methods often correlate the representative sizes of fine and coarse particles to indicate the susceptibility to internal erosion of an assessed soil. These methods are not very accurate because soil particle size distribution can vary widely with several identical key sizes. This paper presents a new indicator for internal erosion assessment using the probability to be transported of loose particles: the segregation index. This index is estimated experimentally and analytically for the correlation with internal erosion test results. The index also has a significant role in the estimation of real effective stress of soils.

Item ID: 74806
Item Type: Conference Item (Research - E1)
ISBN: 9789811671593
Keywords: Assessment, Dam, Internal erosion, Segregation, Soil characteristics
Copyright Information: © 2023 Springer Nature Switzerland AG
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Proceedings of the 6th International Conference on Geotechnics, Civil Engineering and Structures

Date Deposited: 31 Jan 2023 23:54
FoR Codes: 40 ENGINEERING > 4005 Civil engineering > 400502 Civil geotechnical engineering @ 70%
40 ENGINEERING > 4005 Civil engineering > 400513 Water resources engineering @ 30%
SEO Codes: 12 CONSTRUCTION > 1203 Construction materials performance and processes > 120399 Construction materials performance and processes not elsewhere classified @ 100%
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