Advanced Search
  • Indexed in Scopus
  • Source Journal for Chinese Scientific and Technical Papers and Citations
  • Included in A Guide to the Core Journal of China
  • Indexed in Ei Compendex
Volume 34 Issue 9
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHENG Jun-jie, XU Zhi-jun, LIU Yong, BIAN Xiao-ya. Bayesian optimization for resistance factor of piles[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(9): 1716-1721.
Citation: ZHENG Jun-jie, XU Zhi-jun, LIU Yong, BIAN Xiao-ya. Bayesian optimization for resistance factor of piles[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(9): 1716-1721.
shu

Bayesian optimization for resistance factor of piles

  • 1. Institute of Geotechnical and Underground Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; 2. School of Civil Engineering and Architecture, Henan University of Technology, Zhengzhou 450052, China; 3. Department of Civil Engineering, National University of Singapore, Singapore 119223, Singapore

More Information
  • Received Date: August 23, 2011
  • Published Date: October 09, 2012
    Abstract
  • According to the mathematical statistics theory and Bayesian technique, a method for data processing and optimization in geotechnical engineering is put forward to solve the problem caused by model uncertainty due to lack of enough accurate field data. Meanwhile, the data of bearing capacity of piles in non-cohesive soils (29 piles) and in cohesive soils (59 piles) in South Africa are collected. The model factor of the bearing capacity is defined as the ratio of the measured capacity to the predicted one. By means of the proposed method, the collected data are sorted into three categories, which are good data, ordinary data and abnormal data. The abnormal data are discarded because of their adverse influence on calculation, and the ordinary data are optimized. The first order second moment method, the advanced first order second moment method and the Monte Carlo simulation are employed to calculate the reliability of the bearing capacity. The calculated results show that the sorting and the optimization of data have great influence on the calculated results of reliability and resistance factors. For instance, the calculated results using the good data and the optimized data are larger than those using other data. Finally, the recommended values of resistance factors of driven piles are suggested according to the calculated results and American specifications for load and resistance factor design. The proposed method can offer references to the researchers and for the amendment of relevant specifications.
    • FullText(HTML)
    • References (25)
  • [1]
    American Association of State Highway and Transportation Officials(AASHTO). Load and resistance factor design (LRFD) for bridge design specifications[M]. 4th ed. Washington D C: American Association of State Highway and Transportation Officials, 2007.
    [2]
    POULOS H G, DAVIS E H. Pile foundation analysis and design[M]. New York: Wiley, 1980.
    [3]
    徐志军, 郑俊杰, 边晓亚, 等. 考虑参数和模型不确定性的基桩承载力可靠度分析[J]. 华中科技学报（自然科学版）, 2011, 39(9): 96–99. (XU Zhi-jun, ZHENG Jun-jie, BIAN Xiao-ya, et al. Reliability analysis of bearing capacity of pile considering both parameter and model uncertainties[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2011, 39(9): 96–99. (in Chinese))
    [4]
    WHITMAN R V. Organizing and evaluating uncertainties in geotechnical engineering[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2000, 126(7): 583–593.
    [5]
    BAECHER G B. Geotechnical error analysis[R]. Washington D C: Transportation Research Record. Transportation Research Board, 1986: 23–31.
    [6]
    PHOON K K, KULHAWY F H. Characterization of geotechnical variability[J]. Canadian Geotechnical Journal, 1999, 36(4): 612–624.
    [7]
    PHOON K K. Reliability-based design in geotechnical engineering: computations and applications[M]. New York: Taylor & Francis, 2008.
    [8]
    PHOON K K. Reliability-based design of foundations for transmission line structures[D]. New York: Cornell University, 1995.
    [9]
    DITHIDE M, PHOON K K, WET D M, et al. Characterization of model uncertainty in the static pile design formula[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2010, 137(1): 70–85.
    [10]
    ZHANG L M, TANG W H, ZHANG L L, et al. Reducing uncertainty of prediction from empirical correlations[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2004, 130(5): 526–534.
    [11]
    郑俊杰, 徐志军, 刘 勇, 等. 基于最大熵原理的基桩竖向承载力的可靠度分析[J]. 岩土工程学报, 2010, 32(11): 1643–1647. (ZHENG Jun-jie, XU Zhi-jun, LIU Yong, et al. The reliability analysis for vertical bearing capacity of pile based on the maximum entropy principle[J]. Chinese Journal of Geotechnical Engineering, 2010, 32(11): 1643–1647. (in Chinese))
    [12]
    SCHUPPENER B. Geotechnical design-Part 1: General rules-its implementation in the European Member states[C]// Proceedings of 14th European Conference on Soil Mechanics and Geotechnical Engineering. Madrid, 2007: 279–284.
    [13]
    JONES A L, KRAMER, S L, ARDUINO P. Estimation of uncertainty in geotechnical properties for performance- based earthquake engineering[R]. California: University of California, Berkeley, 2002
    [14]
    KULHAWY F K, TRUTMANN C H. Estimation of in-situ test uncertainty[C]// Uncertainty in the Geologic Environment, Madison. ASCE, Reston, Va, 1996: 269–286.
    [15]
    LACASSE S, NADIM F. Model uncertainty in pile axial capacity calculations[C]// Proc 28th Offshore Technology Annual Conf. Offshore Technology Center, Houston, 1996.
    [16]
    MEYERHOF G G. Bearing capacity and settlement of pile foundations[J]. Journal of the Geotechnical Engineering Division, ASCE, 1976, 102(3): 197–228.
    [17]
    GARLAND L. Pile testing-selection and economy of safety factors[C]// Current Practices and Future Trends in Deep Foundation. Geotechnical Special Publication, ASCE, 2004: 239–252.
    [18]
    ANG A H S, TANG W H. Probability concepts in engineering: emphasis on applications to civil and environmental engineering[M]. 2nd ed. New York: John Wiley & Sons, 2006.
    [19]
    RACJWITZ R, FIESSIER B. Structural reliability under combined random load sequences[J]. Computers & Structures, 1978, 9(5): 489–494.
    [20]
    BARKER R, DUNCAN J, ROJIANI, et al．Manuals for the design of bridge foundations[R]. Washington D C: Transportation Research Board, NCHRP Report 343, 1991.
    [21]
    MEYERHOF G G. Safety factors in soil mechanics[J]. Canadian Geotechnical Journal, 1970, 7(4): 349–355.
    [22]
    U S Army Corps of Engineers. Engineering and design, introduction to probability and reliability methods for use in geotechnical engineering[J]. Engineering Technical Letter, 1997: 1110-2-547.
    [23]
    WHITIAM J, VOYTKO E, BARKER R, et al. Load and resistance factor design (LRFD) for highway bridge substructures[S]. Federal Highway Administration, U S Department of Transportation, Washington D C Publication FHWA HI-98-032.
    [24]
    ZHANG L M, TANG W H, NG C W W. Reliability of axially loaded driven pile groups[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2001, 127(12): 1051–1060.
    [25]
    郑俊杰, 刘 勇, 郭 嘉, 等. 基桩检测合格率的概率分析及可靠度评估[J]. 岩土工程学报, 2009, 31(11): 1660–1664. (ZHENG Jun-jie, LIU Yong, GUO Jia, et al. Probabilistic analysis and reliability assessment for acceptance rate of foundation pile testing[J]. Chinese Journal of Geotechnical Engineering, 2009, 31(11): 1660–1664. (in Chinese))
    • Related Articles

  • Related Articles

    [1]WANG Rui, ZHOU Hong-wei, ZHUO Zhuang, XUE Dong-jie, YANG Shuai. Finite difference method for space-fractional seepage process in unsaturated soil[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(9): 1759-1764. DOI: 10.11779/CJGE202009021
    [2]LIU Hua-xuan, LIU Dong-jia, LU Zhi-tang, TAO Jun, JIANG Jing. Numerical calculation of three-dimensional elastic wave equation of piles staggered grid finite difference using method with variable step lengths[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(9): 1754-1760. DOI: 10.11779/CJGE201409024
    [3]YAN Shu-wang, JIA Zhao-lin, GUO Bing-chuan, SUN Li-qiang. Consolidation characteristics of fillings by variable coefficients finite difference method[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk2): 496-500.
    [4]LIANG Fa-yun, LI Yan-chu, HUANG Mao-song. Simplified method for laterally loaded piles based on Pasternak double-parameter spring model for foundations[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk1): 300-304.
    [5]ZHANG Ming, ZHAO You-ming, LIU Guo-nan, HU Rong-hua. Finite difference solution to equation for large-strain consolidation of double-layered vertical drain ground[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(9): 1666-1674.
    [6]SU Dong. Elasto-plastic p-y model and incremental finite element method for beams on nonlinear foundation[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(8): 1469-1474.
    [7]JIANG Jie, GU Qian-yan, HUANG Mao-song. Nonlinear analysis for settlement of vertically loaded single pile in dock pits after excavation[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(suppl): 212-216.
    [8]ZHANG Hua, LU Yang. Numerical method for retaining structures based on coupled finite difference method and discrete element method[J]. Chinese Journal of Geotechnical Engineering, 2009, 31(9): 1402-1407.
    [9]WU Feng, SHI Beiling, ZHUO Yang. Nonlinear m method for piles under lateral load[J]. Chinese Journal of Geotechnical Engineering, 2009, 31(9): 1398-1401.
    [10]ZHANG Jifa, XIE Xinyu, ZENG Guoxi. An analytical approach to one-dimensional finite strain non-linear consolidation by Lie group transformation[J]. Chinese Journal of Geotechnical Engineering, 2001, 23(5): 639-642.

Catalog

    BIAN Xiao-ya

    • 1. Institute of Geotechnical and Underground Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; 2. School of Civil Engineering and Architecture, Henan University of Technology, Zhengzhou 450052, China; 3. Department of Civil Engineering, National University of Singapore, Singapore 119223, Singapore

    1. On this Site
    2. On Google Scholar
    3. On PubMed
    Get Citation
    PDF
    XML
    Article views (1282) PDF downloads (293) Cited by()
    Related
    Website Copyright © 2010 Nanjing Hydraulic Research Institute 苏ICP备05007122号-11公安联网备案号：32010602011255
    Editorial Office address：No.34 Hujuguan, Nanjing 210024, ChinaPostal Code：210024Tel：+86-25-85829534, 85829556E-mail: ge@nhri.cn

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return