Determination of initial stress state and rock mass deformation modulus at Lavarak HEPP by back analysis using ant colony optimization and multivariable regression analysis
Sign Up to like & getrecommendations! Published in 2020 at "Bulletin of Engineering Geology and the Environment"
DOI: 10.1007/s10064-020-01936-2
Abstract: During the design and construction of a project, determination of geomechanical parameters is a key factor for its success. Back analysis is an appropriate method to reduce in situ and field measurements during site investigation… read more here.
Keywords: principal stress; analysis; deformation modulus; back analysis ... See more keywords
A three-dimensional back-analysis of the collapse of an underground cavity in soft rocks
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DOI: 10.1016/j.enggeo.2017.08.014
Abstract: Abstract The assessment of stability of man-made underground caves, excavated in the past and later on abandoned, represents a serious challenge for land and urban planning operations, especially for the areas of possible interaction of… read more here.
Keywords: three dimensional; collapse; collapse underground; analysis ... See more keywords
Displacement Back-Analysis of Rock Mass Parameters for Underground Caverns Using a Novel Intelligent Optimization Method
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DOI: 10.1061/(asce)gm.1943-5622.0001657
Abstract: Abstract During the excavation of large-scale underground caverns, in which dynamic feedback analysis is required, the efficiency and accuracy in determining mechanical parameters of surrounding ro... read more here.
Keywords: displacement back; underground caverns; analysis; back analysis ... See more keywords
Back analysis of the multilayer cylindrical HMA samples – height reduction method
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DOI: 10.1080/10298436.2018.1475668
Abstract: ABSTRACT Although the complex modulus is one of the most basic properties used in pavement analysis and design, its accurate measurement for existing pavement layers has always been a challenging task. When samples cut out… read more here.
Keywords: analysis multilayer; analysis; method; multilayer cylindrical ... See more keywords
Comparative Study of the Dynamic Back-Analysis Methods of Concrete Gravity Dams Based on Multivariate Machine Learning Models
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DOI: 10.1080/13632469.2018.1452802
Abstract: ABSTRACT Two different back-analysis frameworks based on multivariate machine learning models used to determine the material dynamic parameters of concrete gravity dams are proposed. For the framework I, the back-analysis is performed by solving an… read more here.
Keywords: machine; machine learning; multivariate machine; based multivariate ... See more keywords