Nonlinear Analysis of Piles and Pile Groups in Inhomogeneous Soil evaluated through Case Histories

通过案例评估非均质土中的桩和桩群的非线性分析

基本信息

批准号：
1939881
负责人：
金额：
--
依托单位：
University of Bristol
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1939881
关键词：
Nonlinear Analysis Piles Pile Groups

项目摘要

Key to the analysis of pile groups is developing pile-to-pile interaction factors which is achieved by considering only two piles at a time within the group. Superposition is then employed to analyse the effect of all piles in the group on each other. This method acts as an alternative to a detailed numerical analysis in three dimensions that saves significant time and complexity to the design. This PhD will approach the problem from a combined empirical and theoretical basis. First, closed-form solutions will be developed using a variety of special functions of applied mathematics for the nonlinear axial response of single piles and corresponding interaction factors in different inhomogeneous soil profiles leading to "t-z" multipliers. Simplified, approximate solutions will be developed for the general case of inhomogeneous soil and compared against the exact, closed-form solutions. Single pile and pile group response under lateral and torsional loading will also be investigated leading to analogous "p-y" and "t-0" multipliers. Results will then be compared with more rigorous numerical solutions and evaluated against a database of pile load test results gathered from the literature and industry sources. The aim of this project is to minimise uncertainty in pile group analysis to provide cost and carbon savings. This effort is in line with UKCRIC objectives.

桩群分析的关键是开发桩与桩之间的相互作用因素，这是通过一次仅考虑桩群内的两个桩来实现的。然后使用叠加来分析组中所有桩彼此之间的影响。该方法可作为三维详细数值分析的替代方法，可节省大量时间并降低设计复杂性。该博士将从经验和理论相结合的基础上解决这个问题。首先，将使用应用数学的各种特殊函数来开发闭式解决方案，用于单桩的非线性轴向响应以及不同不均匀土壤剖面中相应的相互作用因素，从而产生“t-z”乘数。针对不均匀土壤的一般情况，将开发简化的近似解，并与精确的封闭式解进行比较。还将研究横向和扭转载荷下的单桩和群桩响应，从而得出类似的“p-y”和“t-0”乘数。然后将结果与更严格的数值解决方案进行比较，并根据从文献和行业来源收集的桩荷载测试结果数据库进行评估。该项目的目的是最大限度地减少桩群分析的不确定性，以节省成本和碳排放。这项努力符合 UKCRIC 的目标。