熊孝波, 桂国庆, 刘献江, 许建聪. 2008: 基于ANFIS的全夯式扩底灌注桩极限承载力预测研究. 工程地质学报, 16(S1): 340-344.
    引用本文: 熊孝波, 桂国庆, 刘献江, 许建聪. 2008: 基于ANFIS的全夯式扩底灌注桩极限承载力预测研究. 工程地质学报, 16(S1): 340-344.
    XIONG Xiaobo, GUI Guoqing, LIU Xianjiang, XU Jiancong. 2008: RESEARCH ON PREDICTION THE ULTIMATE BEARING CAPACITY OF CAST-IN-PLACE PILE WITH ALL EXPANDED DRIVE BASED ON ANFIS. JOURNAL OF ENGINEERING GEOLOGY, 16(S1): 340-344.
    Citation: XIONG Xiaobo, GUI Guoqing, LIU Xianjiang, XU Jiancong. 2008: RESEARCH ON PREDICTION THE ULTIMATE BEARING CAPACITY OF CAST-IN-PLACE PILE WITH ALL EXPANDED DRIVE BASED ON ANFIS. JOURNAL OF ENGINEERING GEOLOGY, 16(S1): 340-344.

    基于ANFIS的全夯式扩底灌注桩极限承载力预测研究

    RESEARCH ON PREDICTION THE ULTIMATE BEARING CAPACITY OF CAST-IN-PLACE PILE WITH ALL EXPANDED DRIVE BASED ON ANFIS

    • 摘要: 全夯式扩底灌注桩作为一种新型的灌注桩工程技术,由于桩身全程采用夯击成型,桩底及扩大头呈"糖葫芦"或"玉米棒"型的桩身,单桩的端阻力和侧阻力有了明显的提高,但按规范确定的桩侧极限阻力只是近似的和粗略的,并不能真实地反映桩侧阻力的发挥机制。本文在提取影响全夯式沉管扩底桩承载力的主要因素的基础上,通过分析桩周土和桩端土的挤土效应及二次挤土效应,采用基于自适应神经网络的模糊推理系统(ANFIS),结合近10年来工程现场静载荷试验实测资料,利用模糊逻辑工具箱建立自适应网络的模糊推理系统,并采用免疫遗传方法对神经网络进行优化,探索了该预测方法在全夯式扩底灌注桩单桩极限承载力应用。预测结果表明,该方法克服了以往经验公式法和有限元法的弱点,具有广阔的应用前景。

       

      Abstract: The cast-in-place pile with all expanded drive (CIPPWAED) is a new kind of cast in-situ pile, because it is formed by all expanded drive during its construction process, the bottom and the lower extended cylinder part of the pile body shape likes sugar coated haws on a stick, or maize stick. The point resistance and the skin resistance of single pile is increasing obviously after the all expanded drive construction, based on national code, the calculation results of the skin resistance is not precise, further more, it can not disclose the mechanisms of the pile. In this paper, by collecting the main factors which affect the properties of bearing capacity, to analyze the extrusion soil effect and the secondary extrusion soil effect, based on the adaptive neuro-fuzzy inference system, with the measured materials of the static loading test in-situ (the time from 1995 to nowadays), to apply the fuzzy logic toolbox to build the ANFIS model, and to optimize the ANN with immune genetic method, and then study the ultimate bearing capacity of the pile with all expanded drive. The prediction results shows that it brings a new bright future for this predicting method because of the calculation mode of this kind pile overcome the shortcomings of the bearing capacity calculated by empirical formulation and FEM method.

       

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