砂土液化

砂土液化判别最优BP神经网络模型

Discussion of the Best BP Neural Network Model Using Evaluation of Soil Liquefaction

砂土液化对设计反应谱和场地分类的影响

Effect of soil liquefaction on design response spectrum and site classification

基于BP神经网络的饱和砂土液化判别方法

Saturated sand liquefaction potential estimation method based on BP neural network

园锥动力触探试验N（63.5）判别饱和砂土液化问题的研究

Cone Penetration Test N_ ( 63.5 ) on Determining the Liquefaction of Saturated Sandy Soil

GIS环境中砂土液化评价方法

Evaluation of sand liquefaction under the GIS environment

基于MonteCarlo模拟的砂土液化评估研究

Evaluation of sand liquefaction based on Monte Carlo simulation

砂土液化评价的ExcelVBA开发

The Development of Sandy Liquefaction Evaluation with Excel VBA

砂土液化特性MTS动三轴试验研究

Study on Sand Liquefaction Characteristics by MTS Dynamic Tri-Axial Test

压密注浆在砂土液化处理中的应用CFG桩加固液化土地基的振动台试验研究

Large-Scale Shaking Table Test of the Liquefiable Ground Treated by CFG Piles Composite Foundation

Kriging法在大区域场地砂土液化范围判别中的应用研究

Application Study of Kriging Method in Identification of Liquefaction Locality for Large Sandy Ground

本文介绍了一种适用于GIS环境下分析液化可能性指标的砂土液化分析方法，详细阐述了分析过程和它与GIS的接口情况。

A method for analyzing the liquefaction potential index under GIS environment is introduced , and the analysis process and the interface with GIS are deciphered in details .

根据支持向量机线性分类和可以具有不同核函数的非线性分类两种算法，建立了砂土液化预测模型，并且运用Matlab语言编写了程序。

Models for sand liquefaction prediction were established according to the linear classify algorithm and the nonlinear classify algorithm of SVM , and a program was compiled in language Matlab .

应用Bp神经网络模型对砂土液化势进行综合评价；

This initiative of this paper lies on the following points : 1.Conducting the comprehensive discrimination of the liquefying tendency of the sand soil by using the Bp nervous network model ;

通过分析砂土液化成因及其影响因素，建立了砂土液化预测RBF网络模型，并与BP网络预测模型进行比较。

By analyzing the causes and contributing influences of sands liquefaction potential , the RBF neural network model for prediction is set up and compared with the BP network .

利用BP网络模型在解决砂土液化评价这类非线性问题方面的优势，选取不同的参数组合，建立不同的砂土液化判别BP神经网络模型，并根据现场实测资料进行比较分析。

Taking the advantage of BP neural network in solving nonlinear problems such as sand liquefaction , different BP neural network models for liquefaction differentiation are established based on different combinations of the input neurons .

测试结果表明，应用RBF网络模型对砂土液化进行预测，预测效果好，识别精度高。

The testing results show that RBF network model for predicting sands liquefaction potential can become a new effective assessment model with better prediction results and higher recognition precision .

结合工程实例，介绍了在高地震区砂土液化地基土处理中，应用碎石桩、CFG桩组合型复合地基。

The application of gravel pile and CFG pile composite foundation in foundation treatment of liquefaction of sand and soil in seismic area is introduced combined with engineering example .

目前，基于CPT测试资料已经提出了许多砂土液化势的评价方法，但国内外采用CPT判别砂土液化的方法是不同的。

At present , numerous methods based on the cone penetration test ( CPT ) data have been developed for evaluating the potential of soil liquefaction , but the validity is still confused .

基于MTS动三轴试验，研究了砂土液化过程中振动孔压的发展规律，获得了偏压固结条件下振动孔压计算模式。

The development rule of dynamic pore water pressure during sand liquefaction process is studied based on the MTS dynamic tri-axial test , and the dynamic pore water pressure curve is obtained in anisotropic consolidation .

实例研究表明，应用SOFM神经网络评价砂土液化高效可行，为砂土液化评价提供了新方法。

The testing results of practical examples show that the method based on SOFM neural network is feasible and effective , and it provides a new approach to research sand liquefaction potential .

岩土工程可视化及砂土液化评价可视化的探讨

Preliminary discussions on geotechnical visualization and visual evaluation of sand liquefaction

地震砂土液化可能性的非确定性灰色预测方法

Indeterminate gray prediction method of possibility of sand liquefaction during earthquake

日本的砂土液化防止对策和施工方法

Prevention measures of sand soil liquefaction and construction method in Japan

并对砂土液化问题提出一些看法。

Some opinions relevant to liquefaction of sands have been offered .

细粒含量对饱和砂土液化特性的影响

Effect of fines content on liquefaction properties of saturated silty sands

一种基于可靠度分析的砂土液化判别方法

A Discrimination method of Sandy Soil Liquefaction based on Reliability Assessment

粘粒和粘土矿物对砂土液化影响的探讨

Effect on Sandy Soil Liquefaction by Clay Particle and Clay Mineral

基于遗传神经网络的砂土液化判别模型

Model of estimation for sand liquefaction based on genetic neural network

聚类分析方法在判别深层砂土液化中的应用

Application of Clustering Analytical Method to Assessment of Deep Sand Liquefaction

静力触探判别砂土液化

Evaluation of the Liquefaction of Sand by Static Cone Penetration Test