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윤치호,권광수,양승진,Yun, Chi Ho,Kwon, Kwang Soo,Yang, Seung Jin 대한자원환경지질학회 1995 자원환경지질 Vol.28 No.2
The kriging model, one of the geostatistical models, has been used to evaluate the deep-sea manganese nodule deposits until now. The distribution of the manganese nodule deposits estimated by the model shows the smooth surface as well as much difference from the actual distribution. Subsequently, it estimates the deposit distribution roughly in terms of the limited data of surveyed zone. Therefore, this paper presents the interpretation methodology of the deep-sea manganese nodule deposit distribution by using the fractal model to overcome the problems caused by the geostatistical model. Also, the manganese nodule distributions are interpreted by using the manganese nodule data sampled in the GH82-4 zone, west longitude $165^{\circ}40^{\prime}-169^{\circ}00^{\prime}$, and south latitude $0^{\circ}00^{\prime}-2^{\circ}40^{\prime}$ neighboring Nova-Canton Trough in the Pacific Ocean which was surveyed by the Geological Survey of Japan in 1982.
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국내(國內) 화강암(花崗巖)의 역학적(力學的) 성질간(性質間)의 상관성(相關性)
신희순,권광수,Shin, Hee Soon,Kwon, Kwang Soo 대한자원환경지질학회 1988 자원환경지질 Vol.21 No.4
Extensive sets of data on the mechanical properties of more than 1000 granite specimens were analyzed to derive the relationships of the various properties: those are, (1) density, (2) porosity, (3) absorption ratio, (4) sonic wave velocity, (5) uniaxial compressive strength, (6) tensile strength, and (7) dynamic & static Young's moduli. The results will be of use to understand the mechanical characteristics of granites and some unknown properties can be estimated from the others. The various equations derived from the least square regression analysis and a brief description of the correlations are presented in this paper.
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Hee Soon Shin(申僖淳),Kwang Soo Kwon(權光秀) 대한자원환경지질학회 1988 자원환경지질 Vol.21 No.4
Extensive sets of data on the mechanical properties of more than 1000 granite specimens were analyzed to derive the relationships of the various properties: those are, (1) density, (2) porosity, (3) absorption ratio, (4) sonic wave velocity, (5) uniaxial compressive strength, (6) tensile strength, and (7) dynamic & static Young’s moduli. The results will be of use to understand the mechanical characteristics of granites and some unknown properties can be estimated from the others. The various equations derived from the least square regression analysis and a brief description of the correlations are presented in this paper.
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