基于动力系统自记忆原理的软土地基沉降预测

 基于软土地基沉降的过程是一个非线性的动力系统演变过程,为较为准确地对软土地基的沉降量进行预测,将“动力系统自记忆原理”引入软土地基沉降预测中.采用双向差分原理反导出软土地基沉降的非线性常微分方程,将其作为微分动力核,建立软土地基沉降自记忆模型,并将该模型用于汕汾高速公路软土地基沉降的预测.研究结果表明,将自记忆原理引入到软土地基沉降的预测中,提高了预测的精度和适用范围,为软土地基沉降的预测提供了一种新的方法.

Prediction of Soft Soil Foundations Settlements Based on Self-memorization Principal of Dynamic System

The foundation settlement is a nonlinear dynamic system development process, and based on the fact, "the self-memorization principle of the dynamic system" is introduced to predict the soft soil foundation settlement accurately. Taking a nonlinear ordinary differential equation derived from the bilateral difference principle as a dynamic kernel, a soft soil foundation settlement based self-memorization model is constructed and applied to the Shan-Fen Expressway soft foundation settlement prediction. It is shown that with the introduction of the self-memorization principle, the soft soil foundation settlement prediction can be improved in the accuracy and the range of applications, which provides a new way to predict the soft soil foundation settlement.