2015
DOI: 10.1080/19648189.2015.1090928
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Practical ground response curve considering post-peak rock mass behaviour

Abstract: Analysis of stresses and displacements around circular opening excavated in rock mass has been one of the significant issues in tunnelling. A plastic zone is formed around underground opening as a result of high induced stress magnitudes. The ground response curve is one of the best methods to investigate the tunnel stability that represent the relationship between the decreasing of inner pressure and the increasing of radial displacement of tunnel wall. In recent years, several methods have been suggested for… Show more

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Cited by 12 publications
(4 citation statements)
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“…In this study, the same data sources used in Ghorbani and Hasanzadehshooiili [26] were gathered as the database and then were used as the training data in the evolutionary polynomial regression (EPR) via the framework of genetic algorithm (GA). e summary of the data sources is as follows: a case of field measurements regarding the Hanlingjie tunnel in Hunan, China, at a depth of 146 m [17], two cases of Elastic-plastic rock mass considering strain softening [4,9], a case of strain softening rock mass considering exponential decaying post-peak dilation parameter [52], and a case of elastic-perfect-plastic behavior of a rock mass considering EDZ [43]. Besides, Ghorbani and Hasanzadehshooiili [26] utilized the problem originally solved by Zareifard and Fahimifar [43] in order to cover the effects of new features of their proposed algorithm, such as the effects of the intermediate principle stress (b), the weight of the damaged rock mass and existence of a softening zone, and the exponential decaying dilation behavior.…”
Section: Gathering Database For Model Developmentmentioning
confidence: 99%
“…In this study, the same data sources used in Ghorbani and Hasanzadehshooiili [26] were gathered as the database and then were used as the training data in the evolutionary polynomial regression (EPR) via the framework of genetic algorithm (GA). e summary of the data sources is as follows: a case of field measurements regarding the Hanlingjie tunnel in Hunan, China, at a depth of 146 m [17], two cases of Elastic-plastic rock mass considering strain softening [4,9], a case of strain softening rock mass considering exponential decaying post-peak dilation parameter [52], and a case of elastic-perfect-plastic behavior of a rock mass considering EDZ [43]. Besides, Ghorbani and Hasanzadehshooiili [26] utilized the problem originally solved by Zareifard and Fahimifar [43] in order to cover the effects of new features of their proposed algorithm, such as the effects of the intermediate principle stress (b), the weight of the damaged rock mass and existence of a softening zone, and the exponential decaying dilation behavior.…”
Section: Gathering Database For Model Developmentmentioning
confidence: 99%
“…In (6), μ represents one of the strength parameters φ, and C and the subscripts p and r denote the peak and residual values, respectively [27]. e rock is assumed to be a heterogeneous material, and its mechanical properties are considered to conform to the Weibull distribution function.…”
Section: E Proposed Model and Input Datamentioning
confidence: 99%
“…and GhorbaniHadi et al [21] proposed a series of new semi-analytical solutions and numerical procedures for calculating the stress and displacement around a circular tunnel excavated in strain-softening Mohr-Coulomb, generalized Hoek-Brown, or three-dimensional nonlinear Hoek-Brown rock mass. Although these methods were applied well on the mechanical analysis and the tunnel design [16,[22][23][24][25][26][27], they are based on the small deformation hypothesis and not applicable to analyze a tunnel with a high risk of large deformation.…”
Section: Introductionmentioning
confidence: 99%