D
Deheng Kong
Researcher at Tongji University
Publications - 5
Citations - 141
Deheng Kong is an academic researcher from Tongji University. The author has contributed to research in topics: Rock mass classification & Discontinuity (geotechnical engineering). The author has an hindex of 3, co-authored 4 publications receiving 43 citations.
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Automatic identification and characterization of discontinuities in rock masses from 3D point clouds
TL;DR: In this article, a new method for automatic identification and interpretation of rock mass discontinuities, clustering of discontinuity sets and characterization of the discontinuity orientation, persistence and spacing using 3D point clouds is presented.
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Development and application of UAV-SfM photogrammetry for quantitative characterization of rock mass discontinuities
TL;DR: In this paper, a high-resolution digital outcrop model (DOM) generation method for rock exposures based on unmanned aerial vehicle (UAV) photogrammetry integrated with a structure from motion (SfM) technique was introduced.
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Advances in statistical mechanics of rock masses and its engineering applications
TL;DR: In this article, the statistical mechanics of rock masses (SMRM) theory was proposed to analyze the structural properties of rock mass structures and to provide fast and precise solutions for parameter estimations, such as full-direction rock quality designation (RQD), elastic modulus, Coulomb compressive strength, and Poisson ratio and shear strength.
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In-Situ Block Characterization of Jointed Rock Exposures Based on a 3D Point Cloud Model
TL;DR: In this article, a semi-automatic procedure for the robust extraction of in-situ rock blocks created by the deterministic discontinuity network on rock exposures (PCM-DDN) was developed.
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Rapid intelligent evaluation method and technology for determining engineering rock mass quality
Faquan Wu,Ji Wu,Han Bao,Zhongxi Bai,Leixian Qiao,Fang Zhang,Bo Li,Fuan Si,Lei Yu,Shenggong Guan,Peng Sha,Deheng Kong,Zhenzhong Dai,Kun Chen,Yun Tian,Changqing Liu +15 more
TL;DR: In this paper , a modular backpack laboratory system of rock mechanics provides an effective means to acquire rock mechanical parameters on-site conveniently, and the cloud computing platform established based on SMRM can provide technical support for the rapid calculation of rock mass parameters and instant evaluation of the rock mass quality.