XIAO Fei, KONG Ling-wei, LIU Guan-shi, et al. Uplift model test and capacity calculation method of metal grillage
foundation in medium dense aeolian sand[J]. 2022, 43(1): 65-75.
DOI:
XIAO Fei, KONG Ling-wei, LIU Guan-shi, et al. Uplift model test and capacity calculation method of metal grillage
foundation in medium dense aeolian sand[J]. 2022, 43(1): 65-75.DOI: 10.16285/j.rsm.2021.1340.
Uplift model test and capacity calculation method of metal grillage
foundation in medium dense aeolian sand
Metal grillage foundations are increasingly used in infrastructure of transmission line in aeolian sand areas because of its convenient construction and relatively low cost. The full-model and half-model uplift tests under the influence of embedment ratio were carried out in foundation of medium dense aeolian sand
and the uplift load-displacement properties and uplift failure mode of the foundation under different embedment ratios were studied as well. The results show that the uplift load-displacement curve relates to the embedment ratio ?: when ? is 1.0
the curve varies gradually; while ? is in the range of 2.0?5.0
the curve shows clear strain softening with a peak load. As the ? increases
the uplift capacity increases accordingly. During the loading process
an approximately circular uplift area centered on the top of the foundation developed on the ground surface gradually
the uplift degree increased as the foundation was pulled up
and finally formed an overall failure
along with the sliding surface penetrating the ground. In the half-model tests
meridians of the sliding surfaces were observable
which can be approximately described by linear equation as the uplift angle decreased with the increase of the embedment ratio. According to the above results
based on Veesaert’s sliding surface friction strength theory and the limit equilibrium principle
an improved calculation method for uplift capacity of metal grillage foundation has been proposed. Compared with the earth cone method and the shear method
the improved method can obtain calculation results closer to the experimental values with smaller dispersion.
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Related Author
CAO Xiao-yong
LIU Rui-hui
LI Jian-fei
YE Xin-xin
GENG Jun-yang
TAN Hai-xing
CHEN Huai-lin
YANG Tao
Related Institution
School of Highway, Chang’an University
CCCC First Highway Consultants Co., Ltd.
State Key Laboratory of Intelligent Construction and Maintenance for Geotechnical and Tunnel Engineering under Extreme Environments, Southwest Jiaotong University
China Northwest Research Institute Co., Ltd., of CREC