Helical Piles Performance In Golestan Loess Deposits Via Fullscale And Physical Modeling Testings

Deep Foundations Institute
Mohammad Arabameri Abolfazl Eslami Sara Heidarie Golafzani Fatemeh Rostami
Organization:
Deep Foundations Institute
Pages:
12
File Size:
1198 KB
Publication Date:
Oct 1, 2022

Abstract

Collapsible loess is classified as problematic soil found in most continents. The loess immediately collapses under stresses induced by axial compressive loading or the soil weight when exposed to moisture. In Iran, vast areas of the Golestan province are covered with aeolian loess deposits. This paper investigates whether the simultaneous effect of inundation and pre-loading in helical pile installation are operative and effective in improvement of Golestan loess. The effect of installation conditions on loess collapsibility is studied via two main approaches, i.e., field investigations and physical modelling. The experimental studies include installation of eight single helix piles in the Amirkabir University of Technology Frustum Confining Vessel, i.e., FCV-AUT. Also, four single helix piles with embedment depth of 3 m and diameter of 250 mm were installed in Golestan province and full-scale pile static loading tests were performed. The results indicated that the simultaneous application of crowd loading and water pressure during installation of helical piles results in better soil shear strength parameters. Moreover, high crowd stresses or low crowd stresses accompanied by water pressure during pile installation brings about similar load-displacement behavior of model piles installed in FCV-AUT and full-scale helical piles.
Citation

APA: Mohammad Arabameri Abolfazl Eslami Sara Heidarie Golafzani Fatemeh Rostami  (2022)  Helical Piles Performance In Golestan Loess Deposits Via Fullscale And Physical Modeling Testings

MLA: Mohammad Arabameri Abolfazl Eslami Sara Heidarie Golafzani Fatemeh Rostami Helical Piles Performance In Golestan Loess Deposits Via Fullscale And Physical Modeling Testings. Deep Foundations Institute, 2022.

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