Particle filter-based data assimilation for identification of soil parameters with application in tunneling

被引：0

作者：

Nguyen, L. T. ^{[1
]}

Nestorovic, T. ^{[1
]}

Fujisawa, K. ^{[2
]}

Murakami, A. ^{[2
]}

机构：

[1] Ruhr Univ Bochum, AG Mech Adaptiver Syst, Bochum, Germany

[2] Kyoto Univ, Grad Sch Agr, Kyoto, Japan

来源：

COMPUTER METHODS AND RECENT ADVANCES IN GEOMECHANICS | 2015年

关键词：

BACK ANALYSIS; GEOMECHANICAL PARAMETERS; MODEL; OPTIMIZATION; STRATEGY;

D O I：

暂无

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

In this work, we introduce the method of data assimilation using the particle filter for the purpose of identifying the unknown constitutive parameters of the ground mass surrounding the tunnel chamber under excavation. Computer experiment using noisy synthetic settlements and horizontal displacements measured sequentially along excavation steps is run to validate assimilated results. High accurate posterior probability distributions of important constitutive parameters show potential for further investigation and application of data assimilation for parameter identification and other state estimation problems in tunneling.

引用

页码：1241 / 1246

页数：6

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