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Dynamic soil-structure interaction using disturbed state concept and artificial neural networks for parameter evaluation

机译:基于扰动状态概念和人工神经网络的土-结构动力相互作用参数评估

摘要

Interaction between the superstructure and foundation depends on the behavior of soil supporting the foundation. To study the behavior of interfaces, it is necessary to characterize the behavior at the interface, model constitutive relationships mathematically, and incorporate the model together with the governing equations of mechanics into numerical procedures such as the finite element method. Such an approach then can be used for solving complex problems that involve dynamic loading, nonlinear material behavior, and the presence of water, leading to saturated interfaces. In this dissertation, a general model, called the Disturbed State Concept constitutive model has been developed to model saturated Ottawa sand-Concrete interface and saturated Nevada sand. In the DSC, the material is assumed to transform continuously from the relative intact state to the fully adjusted state under loading. Hence the observed response of the material is expressed in terms of response of relatively intact and fully adjusted states. The DSC model is a unified approach and allows for elastic and plastic strains, damage, and softening and stiffening. The model parameters for saturated Ottawa sand-Concrete interface and saturated Nevada sand are evaluated using data from laboratory tests and are used for the verification of DSC model. The model predictions showed satisfactory correlation with the test results. In this dissertation, a new program based on concept of neural computing is developed to facilitate determination of interface parameters when no test data is available. The back propagation training algorithm with bias nodes is used to train the network. The program is developed in FORTRAN language using Microsoft Developer Studio. The reason for selecting FORTRAN as a programming language to develop Biased Artificial Neural Network (BANN) simulator is due to its proficiency in number crunching operations which is the core requirement of the ANN. A nonlinear dynamic finite element program (DSC-DYN2D) based on the DSC model is used to solve two problems, a centrifuge test and an axially loaded pile involving interface behavior. Overall, it can be stated that the DSC model allows realistic simulation of complex dynamic soil-structure interaction problems, and is capable of characterizing behavior of saturated interfaces involving liquefaction under dynamic and earthquake loading.
机译:上部结构与基础之间的相互作用取决于支撑基础的土壤的行为。为了研究界面的行为,有必要表征界面的行为,对本构关系进行数学建模,并将模型与力学控制方程一起纳入诸如有限元法之类的数值程序中。然后,可以将这种方法用于解决复杂的问题,这些问题涉及动态载荷,非线性材料行为以及水的存在,从而导致界面饱和。本文开发了一种通用模型,称为“扰动状态概念”本构模型,用于模拟饱和渥太华砂-混凝土界面和饱和内华达砂。在DSC中,假定材料在负载下会从相对完整状态连续转换为完全调整状态。因此,观察到的材料响应以相对完整和完全调整状态的响应表示。 DSC模型是统一的方法,并允许弹性和塑性应变,损坏以及软化和硬化。饱和渥太华砂-混凝土界面和饱和内华达砂的模型参数使用实验室测试数据进行评估,并用于验证DSC模型。模型预测显示与测试结果令人满意的相关性。本文开发了一种基于神经计算概念的新程序,以方便在无测试数据可用时确定接口参数。具有偏置节点的反向传播训练算法用于训练网络。该程序使用Microsoft Developer Studio以FORTRAN语言开发。之所以选择FORTRAN作为编程语言来开发有偏人工神经网络(BANN)模拟器,是因为其熟练掌握数字打孔操作,这是ANN的核心要求。基于DSC模型的非线性动态有限元程序(DSC-DYN2D)用于解决两个问题,即离心试验和涉及界面行为的轴向荷载桩。总的来说,可以说,DSC模型可以对复杂的动态土-结构相互作用问题进行逼真的模拟,并且能够表征在动态和地震荷载作用下涉及液化的饱和界面的行为。

著录项

  • 作者

    Pradhan Shashank;

  • 作者单位
  • 年度 2002
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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