• Geomechanics and Engineering
• /
• 제21권4호
• /
• pp.391-399
• /
• 2020

Brittleness is one of the most important properties of rock which has a major impact not only on the failure process of intact rock but also on the response of rock mass to tunneling and mining projects. Due to the lack of a universally accepted definition of rock brittleness, a wide range of methods, including direct and indirect methods, have been developed for its measurement. Measuring rock brittleness by direct methods requires special equipment which may lead to financial inconveniences and is usually unavailable in most of rock mechanic laboratories. Accordingly, this study aimed to develop a new strength-based index for predicting rock brittleness based on the obtained base form. To this end, an innovative algorithm was developed in Matlab environment. The utilized algorithm finds the optimal index based on the open access dataset including the results of punch penetration test (PPT), uniaxial compressive and Brazilian tensile strength. Validation of proposed index was checked by the coefficient of determination (R²), the root mean square error (RMSE), and also the variance for account (VAF). The results indicated that among the different brittleness indices, the suggested equation is the most accurate one, since it has the optimal R², RMSE and VAF as 0.912, 3.47 and 89.8%, respectively. It could finally be concluded that, using the proposed brittleness index, rock brittleness can be reliably predicted with a high level of accuracy.

• 터널과지하공간
• /
• 제24권4호
• /
• pp.325-333
• /
• 2014

대표적인 비재래에너지자원인 셰일가스 생산을 위해서는 수압파쇄가 핵심적인 기술이다. 암석의 취성도는 셰일가스 생산을 위한 수압파쇄 효율결정의 가장 중요한 물성 중 하나이며, 셰일의 취성도가 클수록 셰일가스 생산량이 증가하는 관계를 보인다. 암석의 취성은 다양하게 정의되며 표준화된 정의가 없어 혼란이 존재한다. 본 논문에서는 취성도의 다양한 개념들을 살펴보고 실내 실험값을 이용하여 취성도를 측정하고 각기 다르게 정의된 취성도간의 상관관계에 대해서 고찰해보았다. 일반적으로 일축압축강도와 인장강도의 비율로 나타내는 취성도와, 탄성계수와 포아송비를 이용한 취성도를 비교하였을 때 같은 암석에 대한 취성도 간에 매우 약한 양의 상관관계를 가지고 있는 것을 확인할 수 있었다. 또한 포아송비의 경우 취성도에 미치는 영향이 명확하지 않은 것으로 나타났다. 수압파쇄 결과를 예측하기 위한 지표로써 취성도를 적용하기 위해서는 취성도의 개념의 표준화가 필요한 것을 알 수 있다.

• Geomechanics and Engineering
• /
• 제30권5호
• /
• pp.401-411
• /
• 2022

To obtain the dynamic mechanical properties, fracture modes, energy and brittleness characteristics of Furong Baijiao coal rock, the dynamic impact compression tests under 0, 4, 8 and 12 MPa confining pressure were carried out using the split Hopkinson pressure bar. The results show that failure mode of coal rock in uniaxial state is axial splitting failure, while it is mainly compression-shear failure with tensile failure in triaxial state. With strain rate and confining pressure increasing, compressive strength and peak strain increase, average fragmentation increases and fractal dimension decreases. Based on energy dissipation theory, the dissipated energy density of coal rock increases gradually with growing confining pressure, but it has little correlation with strain rate. Considering progressive destruction process of coal rock, damage variable was defined as the ratio of dissipated energy density to total absorbed energy density. The maximum damage rate was obtained by deriving damage variable to reflect its maximum failure severity, then a brittleness index BD was established based on the maximum damage rate. BD value declined gradually as confining pressure and strain rate increase, indicating the decrease of brittleness and destruction degree. When confining pressure rises to 12 MPa, brittleness index and average fragmentation gradually stabilize, which shows confining pressure growing cannot cause continuous damage. Finally, integrating dynamic deformation and destruction process of coal rock and according to its final failure characteristics under different confining pressures, BD value is used to classify the brittleness into four grades.

• 터널과지하공간
• /
• 제33권1호
• /
• pp.29-41
• /
• 2023

암석의 취성은 암석의 파쇄 및 파괴특성에 주요한 영향을 미치는 인자로 알려져 있으나, 현재까지 표준화된 정의가 없고 연구자들은 취성을 정의하기 위한 다양한 취성도의 산정방식을 제안하여 오고 있다. 암석의 드릴링 및 암반의 기계굴착과정에서도 암석의 취성은 기계굴착장비의 굴진효율 혹은 암석의 굴진저항성을 평가하기 위한 중요한 파라미터로 평가되고 있으며, 다양한 취성도와 기계굴착장비의 굴진효율 사이의 상관관계를 규명하려는 연구들이 지속적으로 수행되고 있다. 본 연구에서는 압입시험으로부터 암석의 취성도를 산출하기 위한 방법에 대하여 소개하고, 압입시험에서 산정되는 취성도와 기존의 암석의 일축압축강도와 간접인장강도로부터 계산되는 기존의 취성도의 상관관계에 대하여 분석하고자 하였다. 상관관계분석 결과로부터 다양한 취성도들 간의 상관관계를 확인할 수 있었으며, 압입시험으로부터 계산되는 PSI와 BI₃가 기존의 취성도들과 좋은 상관관계를 보임을 확인하였다. 또한 기존의 취성도 중에서는 B₃와 B₄가 암반기계굴착분야에서의 굴진효율 및 굴진저항성을 나타내기에 적합한 취성도인 것으로 판단되었다.

• 한국터널지하공간학회 논문집
• /
• 제19권4호
• /
• pp.611-634
• /
• 2017

도시의 발전에 따라 전력선, 통신선, 상하수도배관 등을 공동으로 수용하는 공동구의 수요는 점점 증가할 것으로 예상되고 있으며 따라서 앞으로 TBM을 이용한 터널시공이 증가할 것으로 예상된다. TBM을 이용한 터널 건설시 굴진율 예측은 공기와 공사비 책정의 중요한 요소이다. 현재, NTNU model, CSM model 등의 TBM 굴진율 예측방법이 있지만, 이 방법들은 많은 입력 인자들을 필요로 한다. 본 논문은 문헌조사를 통해 다양한 여러 지반 물성인자들 중, 경암의 취성지수 (Brittleness index)와 TBM 순굴진율간의 관계를 도출하고자 하였다. 특히, 인장강도와 압축강도의 함수인 취성지수는 그 정의에 따라 순굴진율과 관계가 다르고 매우 큰 분산을 가지는 것으로 나타났다. 본 연구는 TBM 순굴진율 예측에서 암반물성 중 취성도가 지니는 의미를 제시하고 있다.

• Geomechanics and Engineering
• /
• 제13권1호
• /
• pp.63-77
• /
• 2017

The failure mechanism of a deep hard rock tunnel under high geostress and high geothermalactivity is extremely complex. Uniaxial compression tests of granite at different temperatures were conducted. The complete stress-strain curves, mechanical parameters and macroscopic failure types of the rock were analyzed in detail. The brittleness index, which represents the possibility of a severe brittleness hazard, is proposed in this paperby comparing the peak stress and the expansion stress. The results show that the temperature range from 20 to $60^{\circ}C$ is able to aggravate the brittle failure of hard rock based on the brittleness index. The closure of internal micro cracks by thermal stress can improve the strength of hard rock and the storage capacity of elastic strain energy. The failure mode ofthe samples changes from shear failure to tensile failure as the temperature increases. In conclusion, the brittle failure mechanism of hard rock under the action of thermal coupling is revealed, and the analysis result offers significant guidance for deep buried tunnels at high temperatures and under high geostress.

• Geomechanics and Engineering
• /
• 제34권6호
• /
• pp.697-726
• /
• 2023

Brittleness as an important property of rock plays a crucial role both in the failure process of intact rock and rock mass response to excavation in engineering geological and geotechnical projects. Generally, rock brittleness indices are calculated from the mechanical properties of rocks such as uniaxial compressive strength, tensile strength and modulus of elasticity. These properties are generally determined from complicated, expensive and time-consuming tests in laboratory. For this reason, in the present research, an attempt has been made to predict the rock brittleness indices from simple, inexpensive, and quick laboratory test results namely dry unit weight, porosity, slake-durability index, P-wave velocity, Schmidt rebound hardness, and point load strength index using multiple linear regression, exponential regression, support vector machine (SVM) with various kernels, generating fuzzy inference system, and regression tree ensemble (RTE) with boosting framework. So, this could be considered as an innovation for the present research. For this purpose, the number of 39 rock samples including five igneous, twenty-six sedimentary, and eight metamorphic were collected from different regions of Iran. Mineralogical, physical and mechanical properties as well as five well known rock brittleness indices (i.e., B₁, B₂, B₃, B₄, and B₅) were measured for the selected rock samples before application of the above-mentioned machine learning techniques. The performance of the developed models was evaluated based on several statistical metrics such as mean square error, relative absolute error, root relative absolute error, determination coefficients, variance account for, mean absolute percentage error and standard deviation of the error. The comparison of the obtained results revealed that among the studied methods, SVM is the most suitable one for predicting B₁, B₂ and B₅, while RTE predicts B₃ and B₄ better than other methods.

• Geomechanics and Engineering
• /
• 제21권4호
• /
• pp.349-356
• /
• 2020

Rock brittleness, which is closely related to the failure modes, plays a significant role in the design and construction of many rock engineering applications. However, the brittle-ductile failure transition is mostly ignored by the current statistical damage constitutive model, which may misestimate the failure strength and failure behaviours of intact rock. In this study, a new statistical damage model considering rock brittleness is proposed for brittle to ductile behaviour of rocks using brittleness index (BI). Firstly, the statistical constitutive damage model is reviewed and a new statistical damage model considering failure mode transition is developed by introducing rock brittleness parameter-BI. Then the corresponding damage distribution parameters, shape parameter m and scale parameter F₀, are expressed in terms of BI. The shape parameter m has a positive relationship with BI while the scale parameter F₀ depends on both BI and ε_e. Finally, the robustness and correctness of the proposed damage model is validated using a set of experimental data with various confining pressure.

• Geomechanics and Engineering
• /
• 제33권3호
• /
• pp.279-289
• /
• 2023

Brittleness index (BI) is an important property of rocks because it is a good index to predict rockburst. Due to its importance, several empirical and soft computing (SC) models have been proposed in the literature based on the punch penetration test (PPT) results. These models are very important as there is no clear-cut experimental means for measuring BI asides the PPT which is very costly and time consuming to perform. This study used a novel Multivariate Adaptive regression spline (MARS), M5P, and white-box ANN to predict the BI of rocks using the available data in the literature for an improved BI prediction. The rock density, uniaxial compressive strength (σ_c) and tensile strength (σ_t) were used as the input parameters into the models while the BI was the targeted output. The models were implemented in the MATLAB software. The results of the proposed models were compared with those from existing multilinear regression, linear and nonlinear particle swarm optimization (PSO) and genetic algorithm (GA) based models using similar datasets. The coefficient of determination (R²), adjusted R² (Adj R²), root-mean squared error (RMSE) and mean absolute percentage error (MAPE) were the indices used for the comparison. The outcomes of the comparison revealed that the proposed ANN and MARS models performed better than the other models with R² and Adj R² values above 0.9 and least error values while the M5P gave similar performance to those of the existing models. Weight partitioning method was also used to examine the percentage contribution of model predictors to the predicted BI and tensile strength was found to have the highest influence on the predicted BI.

• 한국식품과학회지
• /
• 제24권3호
• /
• pp.289-293
• /
• 1992

본 연구에서는 시판 breakfast cereals의 품질 특성을 비교 검토하였다. Breakfast의 water absorption index(WAI)가 클수록 water soluble index(WSI)는 감소하는 경향을 나타내었으며, Bowl life는 WSI가 클수록 길어지는 경향을 나타내었다. 시판 breakfast cereals의 Bowl life는 제품의 WSI 이외에도 크기, 모양 및 조직 등의 영향을 받는 것으로 나타났다. 품질 표현용어의 조사에 따르면 시판 breakfast cereals의 중요한 관능적 품질요소는 고소한 맛, 단 맛, 굳기, 부서지는 정도 및 먹은 후 입속에 남는 느낌으로 구분되며, 특히 부서지는 정도가 가장 중요한 요소임을 알 수 있었다. 단 맛과 고소한 맛은 강한 음의 상관관계를 나타내어 첨가물에 의한 단 맛 강화는 오히려 고소한 맛을 감소시켰다. 전체적인 관능적 품질은 색, 고소한 냄새, 고소한 맛과 강한 양의 상관관계를, 입안에서의 마찰 정도, 부착성, 첨가물 맛과는 강한 음의 상관관계를 나타내었다. 이들 결과로 미루어 볼 때 좋은 색과 고소한 맛, 바삭바삭한 조직감을 갖는 breakfast cereal이 좋은 품질의 제품으로 평가되었다.