Inverse analysis for rock mechanics based on a high dimensional model representation

DOI10.1080/17415977.2020.1870972OpenAlexW3118250832MaRDI QIDQ5036762

Bing-Rui Chen, Hong-Bo Zhao

Publication date: 23 February 2022

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2020.1870972

zbMATH Keywords

inverse analysistunnelresponse surfacehigh dimensional model representationrock mechanical parameters

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Mechanics of particles and systems (70-XX)

Cites Work

• A hybrid approach with artificial neural networks, Levenberg–Marquardt and simulated annealing methods for the solution of gas–liquid adsorption inverse problems
• Geomechanical parameters identification by particle swarm optimization and support vector machine
• General foundations of high-dimensional model representations
• Optimal estimation ofin-situ ground stresses from displacement measurements
• Back analysis of model parameters in geotechnical engineering by means of soft computing
• A combined neural network and simulated annealing based inverse technique to optimize the heat source control parameters in heat treatment furnaces
• An approximate method for generating asymmetric random variables
• A new displacement back analysis to identify mechanical geo‐material parameters based on hybrid intelligent methodology
• High dimensional model representations generated from low dimensional data samples. I: mp-cut-HDMR
• Unnamed Item

This page was built for publication: Inverse analysis for rock mechanics based on a high dimensional model representation