Using of full probability method to statistically estimate results of numerical simulation for geomechanics

HUANG Cheng; YANG Chun-he; WANG An-ming

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Using of full probability method to statistically estimate results of numerical simulation for geomechanics

更新时间：2026-06-25

- Using of full probability method to statistically estimate results of numerical simulation for geomechanics
- Vol. 29, Issue 11, (2008)
- 作者机构：
  
  中国科学院武汉岩土力学研究所岩土力学与工程国家重点实验室,武汉,430071
- 作者简介：
- 基金信息：
- DOI：
  CLC： O211.9
- Online First：07 August 2013，
  
  Published：2008
- 稿件说明：
移动端阅览
HUANG Cheng, YANG Chun-he, WANG An-ming. Using of full probability method to statistically estimate results of numerical simulation for geomechanics[J]. 2008, 29(11).
DOI：

HUANG Cheng, YANG Chun-he, WANG An-ming. Using of full probability method to statistically estimate results of numerical simulation for geomechanics[J]. 2008, 29(11). DOI：

摘要

提出了一种用于分析在多参数随机情况下岩土力学数值模拟结果变异性的全概率方法。以特定数值模拟结果为随机隐式响应量，根据多维高效数值求积理论，计算出响应量特定函数的均值，利用快速傅里叶变换数值概率分析方法及笔者开发的最大熵分布，求解器软件一次性求解出响应量的全概率分布，用于定量评估数值模拟结果的变异性。算例表明该法具有精度和计算效率较高的优点。

Abstract

A full probability method is presented to statistically evaluate the variation of geomechanics numerical simulation results subject to multi-random parameters. Taking the interested results as stochastic implicit response variables

firstly the expectations of some special functions of response variables are determined by the high performance multidimensional numerical integration. Then the full probability distribution function of the interested numerical simulation results is obtained to quantitatively analyze the variation effect using two proposed method including numerical probability analysis method based on fast Fourier transform (FFT) and the maximum entropy distribution solver software developed by the authors. The numerical examples show that this method has higher accuracy and the computational effort is reduced.

关键词

Keywords

references

Views

1342

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Gaussian process-based dynamic response surface method for estimating slope failure probability

Reliability analysis of landslide-thrust and internal forces of anti-slide pile based on strength reduction finite element method

Reliability analysis of slope dynamic stability based on strength reduction FEM

Reliability analysis of seepage stability of core-wall rockfill dam based on stochastic response surface method

Reliability analysis of slope with Latin hypercube sampling and K-S test

Related Author

YAN Liu-bin

PENG Li-feng

ZHAO Wei

SU Guo-shao

OU Yi-hong

SONG Qiang-hui

LIU Dong-sheng

WU Ying-xiang

Related Institution

Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Civil and Architecture Engineering, Guangxi University

Key Laboratory of Mechanics on Disaster and Environment in Western China of Ministry of Education, Lanzhou University

Chongqing Bureau of Geology and Minerals Exploration

Chongqing Key Laboratory of Geomechanics & Geoenvironmental Protection, Logistical Engineering University

Department of Architecture & Civil Engineering, Logistical Engineering University

AI问答

⁰