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Mechanical Behavior and Influencing Factors of Different Pile-anchor Supporting Structures |
HUANG Hua, QUAN Zhu, LIU Bo-long, ZENG Zhi-cheng |
School of Civil Engineering, Chang'an University, Xi'an Shaanxi 710061, China |
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Abstract Finite element models of integrated (IPSS) and separate (SPSS) pile-anchor supporting structures are built by using ABAQUS software, and differences in the mechanical performance of these structures are analyzed. The influences of pile diameter, embedding depth, top-beam size, anchor bolt number, and prestress on the supporting structures are investigated. Results show that:(1) the displacements of IPSS and SPSS decrease from the ends to their middle portion, the moments and shear forces of these structures increase from the ends to their middle portion, and the loads and displacements of the middle portion of these structures remain unchanged; (2) the moments and shear forces of the two anti-slide piles at the end of the supporting structures should be multiplied by adjustment coefficients of 1.35 and 1.2, respectively, when the structures are designed; (3) the maximum IPSS displacement is smaller by at least 20% that of the SPSS, the largest moment of the former is at least 3% smaller than that of the latter, and the largest shear force of the former is at least smaller 6% than that of the latter; (4) enlarging the diameter of the anti-slide pile decreases the displacements and moments of the two structures; (5) increasing the embedding depths of the piles would diminish the displacements of the structures but increase their moments; (6) enlarging the top-beam size improves the stiffness and anti-deforming capability of the IPSS and SPSS but the function of which is limited; and (7) increasing the number of anchor bolts and prestressing could obviously decrease the displacements and moments of the supporting structures and change the distributional patterns of the displacements and moments on the piles. The influences of changes of the factors described above on IPSS are much smaller than those on SPSS.
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Received: 09 September 2015
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Fund:Supported by the National Science Foundation of China (No.51308065); the Specialized Research Fund for Doctoral Program (No. 20130205130001); the Natural Science Foundation of Shaanxi Province of China(No. 2012JQ7024); the Postdoctoral Science Foundation of China(No.2012M511956, No.2014T70896); and the Fundamental Research Funds for Central Universities(No. 2014G228014) |
Corresponding Authors:
HUANG Hua,E-mail address:huanghua23247@163.com
E-mail: huanghua23247@163.com
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