Effect of spatial variability of cone penetration resistance on probabilistic axial capacity of pile foundations

被引:2
|
作者
Kotra, Saikumar [1 ]
Chatterjee, Kaustav [1 ,2 ]
机构
[1] IIT Roorkee, Dept Civil Engn, Roorkee, Uttaranchal, India
[2] Indian Inst Technol Roorkee, Dept Civil Engn, Roorkee 247667, India
关键词
Uncertainties; CPT; pile group; spatial correlation; FORM; probability of failure; BEARING CAPACITY; SOIL; RELIABILITY; PREDICTION;
D O I
10.1080/1064119X.2023.2280989
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The Cone Penetration Test (CPT) is site-specific and it is one of the predominant tests in geotechnical investigations used for varied offshore and onshore facilities. The evaluation of axial load carrying capacity of pile is one such use. Due to their continual records, CPT-based methods are appropriate in the offshore environments. Uncertainties are prevailing in most of the engineered systems and implementation of spatial correlation in the probabilistic geotechnical studies possess a paramount importance to overcome the uncertainties. In the present study, the influence of spatial correlation in the CPT data towards the load carrying capacity of pile group in sandy soil is examined. The in-situ test approach involving the spatial correlation of the CPT data in the analytical formulations is established in the study. The inclusion of spatial correlation intervening the spatial averages of CPT data obtained along the soil profile for the pile length, qc,a and at its base, qc,s is studied. Variance reduction technique is utilized for developing the one-dimensional spatial correlation. The failure probability and its relationship with the factor of safety is illustrated based on the Rackwitz's first-order reliability method (FORM). The results of the analyses have shown that, the inclusion of spatial correlation imparts a significant effect on failure probability and which when ignored will result in an unsafe design. A test pile group is analyzed to exemplify the reliability assessment of axial pile load carrying capacity by considering the spatial correlation of CPT data. This approach can be utilized for the safer pile design practices within the probabilistic framework.
引用
收藏
页码:1428 / 1440
页数:13
相关论文
共 50 条
  • [11] SPATIAL VARIABILITY OF RESISTANCE TO PENETRATION IN AN EUTROPHIC UDORTHENT
    Corado Neto, Fabriciano da Cunha
    Telo Sampaio, Fabricio de Menezes
    da Costa Veloso, Marcos Emanuel
    Rocha Matias, Sammy Sidney
    Andrade, Fabricio Ribeiro
    Rocha Lobato, Marcio Godofredo
    REVISTA BRASILEIRA DE CIENCIA DO SOLO, 2015, 39 (05): : 1353 - 1361
  • [12] Uncertainty Analysis of Axial Pile Capacity in Layered Soils by the Piezocone Penetration Test
    Lin, Jun
    Hou, Xinyu
    Cai, Guojun
    Liu, Songyu
    FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [13] Assessment of Axial Resistance of Piles Considering Consolidation Setup and Aging Setup Using Direct Pile Cone Penetration Test Methods
    Khasib, Isam A.
    Abu-Farsakh, Murad Y.
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (10) : 1286 - 1302
  • [14] Research on modeling inherent spatial variability of piezocone penetration test cone tip resistance based on geostatistics
    Zou Hai-feng
    Cai Guo-jun
    Liu Song-yu
    Lin Jun
    ROCK AND SOIL MECHANICS, 2015, 36 : 403 - 407
  • [15] Spatial variability of short-term effect of tillage on soil penetration resistance
    Agustin Alesso, Carlos
    Josefina Masola, Maria
    Eugenia Carrizo, Maria
    Ariel Cipriotti, Pablo
    del Imhoff, Silvia
    ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2019, 65 (06) : 822 - 832
  • [16] EFFECT OF CONE ANGLE ON PENETRATION RESISTANCE.
    Nowatzki, Edward A.
    Karafiath, Leslie L.
    Highway Research Record, 1972, (40): : 51 - 59
  • [17] Pile Shaft Capacity from Cone Penetration Test Records Considering Scale Effects
    Eslami, Abolfazl
    Lotfi, Sepide
    Infante, Julio Angel
    Moshfeghi, Sara
    Eslami, Mohammad M.
    INTERNATIONAL JOURNAL OF GEOMECHANICS, 2020, 20 (07)
  • [18] New ultimate pile capacity prediction method based on cone penetration test (CPT)
    Hu, Zhihong
    McVay, Michael
    Bloomquist, David
    Horhota, David
    Lai, Peter
    CANADIAN GEOTECHNICAL JOURNAL, 2012, 49 (08) : 961 - 967
  • [19] A TLBO-optimized artificial neural network for modeling axial capacity of pile foundations
    Benali, Amel
    Hachama, Mohammed
    Bounif, Aouda
    Nechnech, Ammar
    Karray, Mourad
    ENGINEERING WITH COMPUTERS, 2021, 37 (01) : 675 - 684
  • [20] A TLBO-optimized artificial neural network for modeling axial capacity of pile foundations
    Amel Benali
    Mohammed Hachama
    Aouda Bounif
    Ammar Nechnech
    Mourad Karray
    Engineering with Computers, 2021, 37 : 675 - 684