• Explosives and Blasting
• /
• v.36 no.4
• /
• pp.9-15
• /
• 2018

Since the rock fragmentation by blasting can affect the subsequent processes including loading, hauling and secondary crushing, its control is essential for the assessment of blasting efficiency as well as production cost. In this study, we were analyzed the rock fragmentation by the direction of artificial joint. The underground blasting experiments were performed after forming the vertical and horizontal artificial joints. The blast fragmentation was conducted by the split-desktop which is a 2D image processing program. As a result, it was found that the horizontal artificial joint was evaluated to have lower overall the size of muck pile than the vertical artificial joint and the distribution of the size of muck pile was varied. It is possible that the direction of artificial joint could suppress the occur of oversize muck pile and control to a certain size or less.

• Journal of the Korean GEO-environmental Society
• /
• v.13 no.8
• /
• pp.65-73
• /
• 2012

Soil-rock interface, mainly founded in Granite region of Korea, is known as one of the important factor of the slope failure at the rainfall due to smaller shear strength than soil itself. However, research of the effect on slope stability by soil-rock interfaces is insufficient. Therefore, a series of direct shear tests were performed in order to investigate the effect of soil-rock interface on slope stability. The method of tests is to get sand itself and sand-artificial rock interface shear strength from different grain size of sands and artificial rock samples. The results of tests show that the friction angle of interface depends primarily on particle size and surface roughness. Interface friction angle ratio ${\mu}(={\delta}/{\Phi})$ is in the range of 0.75 ~ 0.96, this results indicate that interface friction angle is smaller than sand itself.

• Economic and Environmental Geology
• /
• v.55 no.3
• /
• pp.309-316
• /
• 2022

In order to minimize the human and time consumption required for rock classification, research on rock classification using artificial intelligence (AI) has recently developed. In this study, basic volcanic rocks were subdivided by using polarizing microscope thin section images. A convolutional neural network (CNN) model based on Tensorflow and Keras libraries was self-producted for rock classification. A total of 720 images of olivine basalt, basaltic andesite, olivine tholeiite, trachytic olivine basalt reference specimens were mounted with open nicol, cross nicol, and adding gypsum plates, and trained at the training : test = 7 : 3 ratio. As a result of machine learning, the classification accuracy was over 80-90%. When we confirmed the classification accuracy of each AI model, it is expected that the rock classification method of this model will not be much different from the rock classification process of a geologist. Furthermore, if not only this model but also models that subdivide more diverse rock types are produced and integrated, the AI model that satisfies both the speed of data classification and the accessibility of non-experts can be developed, thereby providing a new framework for basic petrology research.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2001.03a
• /
• pp.57-64
• /
• 2001

암석-콘크리트 불연속면의 전단변형 및 파괴특성을 규명하기 위해 상부 재료를 콘크리트로, 하부 재료를 암석으로 하는 규칙.불규칙 톱니형 시료와 인공 절리시료를 제작하여 실험실 직접전단시험을 실시하였다. 전단과정 동안 하중과 변위 외에 미소파괴음의 계수와 에너지를 측정하여 전단과정의 단계별 특징을 규명하였고 미소파괴음 음원추적을 실시하여 불연속면에서의 거칠기 파괴부분의 변화를 고찰하였다. 또한 암석 불연속면과 암석-콘크리트 불연속면의 거동을 비교하고 거칠기의 불규칙성 증가에 따른 전단거동의 변화를 관찰하였다.

• Tunnel and Underground Space
• /
• v.22 no.1
• /
• pp.32-42
• /
• 2012

It is very difficult to capture the weathering characteristics of rock because of limitation caused by time and space. A new scheme of experiment that includes physical and chemical weathering processes was implemented on Cretaceous granitic rock samples from Kimhae area to investigate the variations of geomechanical properties of deteriorated rocks due to artificial weathering processes. The seismic velocity was found to decrease with increasing artificial weathering cycle. Effective porosity and absorption tend to increase with artificial weathering processes. The amount of deterioration of rock samples depend on pre-test degree of weathering. Effective porosity, absorption and seismic velocity can be used as the measure of weathering characteristics of granite in the study area. Weathering is accelerated by combined effect of physical and chemical weathering processes. The new experimental methodology conducted in this study has strong capability to analyze the weathering characteristics of rocks.

• Explosives and Blasting
• /
• v.39 no.3
• /
• pp.44-64
• /
• 2021

With the upcoming 4^th industrial revolution era, the applications of artificial intelligence(AI) and big data in engineering are increasing. In the field of blasting, there have been various reported cases of the application of AI. In this paper, AI techniques, such as artificial neural network, fuzzy logic, generic algorithm, swarm intelligence, and support vector machine, which are widely applied in blasting area, are introduced, The studies about the application of AI for the prediction of ground vibration, rock fragmentation, fly rock, air overpressure, and back break are surveyed and summarized. It is for providing starting points for the discussion of active application of AI on effective and safe blasting design, enhancing blasting performance, and minimizing the environmental impact due to blasting.

• Journal of Industrial Technology
• /
• v.16
• /
• pp.267-275
• /
• 1996

금속과 같은 균질한 재료의 균열파괴의 특성을 설명하기 위하여 도입된 파괴역학의 이론들은 1960년대 이후 콘크리트나 암석 등에 대하여 적용되기 시작하였다. 파괴인성계수(fracture toughness)는 균열의 성장에 대한 재료의 저항을 나타낸다. 그러나, 암석의 파괴역학적 특성은 암석이 갖는 불균질성이나 비등방성에 의하여 영향을 받는다. 즉, 암석의 파괴역학적 특성의 측정은 시험편의 크기나 초기균열의 길이, 시험편의 형상 등에 의하여 측정자료의 분산이 심하며 따라서 다른 기본 물성들의 경우에서와 마찬가지로 일정한 시험기준의 도입이 요구되었다. 1988년에 국제암반공학회(ISRM)에서 제시한 표준시험방법은 시험편의 제작이나 시험방법에 있어서 복잡한 과정을 요구하고 있다. 본 논문에서는 표준시험방법에서 사용되는 시험편의 형태에 비하여 비교적 간단한 시험방법들에 의하여 얻어진 파괴적인성계수들을 서로 비교하여 제시하고 시험편의 크기와 기타 시험조건에 따른 파괴인성계수 측정치의 변화를 나타내고 있다. 또한, 암석에 포함되어있는 자연균열들의 특성과 파괴역학실험 중 유발되는 인공균열들의 형태를 비교하여 실험실에서 얻은 파괴역학적 계수들의 현장적용에 대한 문제점들을 지적하고 있다.

• Journal of Industrial Technology
• /
• v.16
• /
• pp.277-284
• /
• 1996

암석의 파괴인성계수는 암석이 갖는 불균질성 및 비등방성에 의하여 시험조건에 따른 측정자료의 분산이 심하다. 즉, 시험편의 형태나 크기에 따른 변화가 심하여 기존의 선형탄성 파괴역학 이론의 적용에 문제점이 있는 것으로 지적되고 있다. 이러한 자료의 분산을 최소화하기 위한 방법의 하나로 균열감응도를 적용한 해석을 제시하고 있다. 균열감응도란 파괴역학 실험 당시 시험편에 가해진 인공 균열의 감응도를 말하며 이는 3점 하중에 의한 파괴가 균열의 성장에 의한 파괴인지, 혹은 단순히 인장파괴에 의한 것인지를 판명함으로써 측정자료의 선택을 명확하게 하기 위한 방법의 하나로 적용될 수 있다.

• The Journal of Engineering Geology
• /
• v.7 no.1
• /
• pp.53-62
• /
• 1997

Fracture mechanics properties of rock materials can he applied to predict the distribution of natural fractures in rock masses, and also to assess the safety of rock slopes and underground structures. In this study, rock fracture toughness and other fracture rrechanics properties of sorne lithologies showing apparently rock-property-controlled distribution of natural fractures were measured. Propagation behaviors of natural and experirnental fractures were also characterized both qualitatively and quantitatively, in terns of the propagation types and sorne statistical parameters. It was concluded that the application of fracture mechanics theories to the ge6logic materials should be based on the geological background and evidences.

• Tunnel and Underground Space
• /
• v.28 no.2
• /
• pp.156-169
• /
• 2018

The relationship between the mechanical and textural properties of sedimentary rocks has been studied for decades. However, inconsistencies in the results have arisen from both the inhomogeneity of natural rocks and the difficulties encountered in controlling just one textural factor of interest in each experiment. This work produced artificial sedimentary rocks to enable control of every independent parameter at all times. Their homogeneity lowered the deviation of the results, and thus they produced clearer correlations than for natural rocks. The samples were made by mixing bassanite powder with water and silica sand, which produced rocks consisting of sand and gypsum cement. The effect of grain content and size on mechanical properties such as uniaxial compressive strength, Young's modulus, and seismic velocity was estimated. Increasing grain content lowered the compressive strength but raised Young's modulus and seismic velocity. Overall, grain size did not linearly affect the mechanical properties of the samples, but affected them in some way. In future, these results can be compared and integrated with similar experiments using different cement or grain types. This should allow comparison of the effects of the rock constituents themselves and their interactions, with applicability to all kinds of sedimentary rocks.