A new displacement back analysis to identify mechanical geo‐material parameters based on hybrid intelligent methodology
From MaRDI portal
Publication:5695870
DOI10.1002/NAG.381zbMath1108.74333OpenAlexW2080428712MaRDI QIDQ5695870
Shao-Jun Li, Hong-Bo Zhao, Xia-Ting Feng
Publication date: 6 October 2005
Published in: International Journal for Numerical and Analytical Methods in Geomechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nag.381
genetic algorithmsupport vector machinedisplacement back analysisgeo-material parameter identification
Soil and rock mechanics (74L10) Inverse problems in equilibrium solid mechanics (74G75) Genetics and population dynamics (92D99)
Related Items (4)
Inverse analysis for rock mechanics based on a high dimensional model representation ⋮ Machine learning techniques applied to the construction of a new geomechanical quality index ⋮ Geomechanical parameters identification by particle swarm optimization and support vector machine ⋮ Fully coupled poromechanical back analysis of the pulse test by inverse method
This page was built for publication: A new displacement back analysis to identify mechanical geo‐material parameters based on hybrid intelligent methodology
