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Jian Zhao

Researcher at Monash University, Clayton campus

Publications -  328
Citations -  15640

Jian Zhao is an academic researcher from Monash University, Clayton campus. The author has contributed to research in topics: Rock mass classification & Wave propagation. The author has an hindex of 60, co-authored 316 publications receiving 11636 citations. Previous affiliations of Jian Zhao include École Polytechnique Fédérale de Lausanne & Indian Institute of Technology Delhi.

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A Review of Dynamic Experimental Techniques and Mechanical Behaviour of Rock Materials

TL;DR: A review of the development and the state of the art in dynamic testing techniques and dynamic mechanical behaviour of rock materials can be found in this article, where a detailed description of various dynamic mechanical properties (e.g., uniaxial and triaxial compressive strength, tensile strength, shear strength and fracture toughness) and corresponding fracture behaviour are discussed.
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Suggested Methods for Determining the Dynamic Strength Parameters and Mode-I Fracture Toughness of Rock Materials

TL;DR: The properties of rocks under dynamic loading are important for the study of a whole range of rock mechanics and rock engineering problems, including blasting, protective design, explosives storage, rock bursts and seismic events as discussed by the authors.
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Dynamic Characteristics of Granite Subjected to Intermediate Loading Rate

TL;DR: In this article, a large diameter split Hopkinson pressure bar (SHPB) was used to obtain the complete stress-strain relationship of the Bukit Timah granite at medium strain rate.
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Determination of mechanical properties and full-field strain measurements of rock material under dynamic loads

TL;DR: A detailed experimental procedure for the quantitative determination of mechanical properties and full-field strain measurement of rock material under dynamic loads was presented in this paper, where three kinds of testing methods, i.e., notched semi-circular bending, Brazilian disc, and uniaxial compression, were conducted using a split Hopkinson pressure bar (SHPB) system.
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Development of a rock mass characteristics model for TBM penetration rate prediction

TL;DR: Wang et al. as mentioned in this paper proposed a rock mass conceptual model that identifies the effect of rock mass properties on TBM penetration rate by performing a nonlinear regression analysis, and the parametric studies of the new model showed that the rock uniaxial compressive strength and the volumetric joint count have predominantly effects on the penetration rate.