• Geomechanics and Engineering
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• 제15권2호
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• pp.769-774
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• 2018

The growth of cities requires the construction of new tunnels close to the existing ones. Prediction and control of ground movement around the tunnel are important especially in urban area. The ground respond due to EPB (Earth Pressure Balance) pressure are investigated using the finite element method by ABAQUS in intersection of the triplet tunnels (Line 2, 3 and 4) of Mashhad Urban Railway in Iran. Special attention is paid to the effect of EPB pressure on the tunnel face displacement. The results of the analysis show that in EPB tunneling, surface settlement and face displacement is related to EPB pressure. Moreover, it is found that tunnel construction sequence is a great effect in face displacement value. For this study, this value in Line 4 where is excavated after line 3, is smaller than that line. In addition, the trend of the displacement curves are changed with the depth for all lines where is located in above and below, close to and above the centerline tunnel face for Line 2, 3 and 4, respectively. It is concluded that: (i) the surface settlement decreases with increasing EPB pressure on the tunnel face; (ii) at a constant EPB pressure, the tunnel face displacement values increase with depth. In addition, this is depended on the tunneling sequence; (iii) the trend of the displacement curves change with the depth.

• 한국터널지하공간학회 논문집
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• 제24권2호
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• pp.217-230
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• 2022

쉴드TBM (Tunnel Boring Machine) 터널 시공에 있어 막장압 관리는 막장면 붕괴, 지반침하 등을 방지하여 막장 안정성을 유지하는 데 중요한 역할을 담당한다. 특히, 챔버 내부의 굴착토로 막장압을 조절하는 토압식 쉴드TBM의 경우, 이수식 쉴드TBM에 비해 막장압의 관리가 어렵다. 본 연구에서는 국내 토압식 쉴드TBM 터널 시공 현장의 지반조건 및 굴진특성 데이터를 분석하여, 토압식 쉴드TBM 터널의 세그먼트 링별 막장압 예측모델을 제시하였다. 예측모델의 입력특성으로 7가지를 선정하였으며, 912개의 학습 데이터 세트(Training data set)와 228개의 시험 데이터 세트(Test data set)를 확보하였다. 최적의 토압식 쉴드TBM 막장압 예측모델 선정을 위하여 KNN (K-Nearest Neighbors), SVM (Support Vector Machine), RF (Random Forest), XGB (eXtreme Gradient Boosting) 모델의 하이퍼파라미터(Hyperparameter)를 최적화하여 예측성능을 비교한 결과, RF 모델이 7.35 kPa의 평균 제곱근 오차(Root Mean Square Error, RMSE)로 가장 우수한 성능을 나타냈다. 추가적으로, RF 모델의 특성 중요도(Feature importance) 분석을 수행한 결과, 입력특성 중 수압의 영향도가 0.38로 가장 높았으며, 전반적으로 지반조건이 굴진특성보다 높은 중요도를 보여주었다.

• 한국정밀공학회지
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• 제14권2호
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• pp.169-177
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• 1997

In this study, investigated are the effects of tool rake angles and the change of cutting conditions on the specific cutting pressure in face milling. The cutting force in face milling is predicted from the double cutting edge model in3-dimensional cutting. Conventional specific cutting pressure model is modified by considering the variation of tool rake angles. Effectiveness of the modified cutting force model is verified by the experiments using special face milling cutters with different cutter pockets and various rake angles. From the comparison of the presented model and the specific cutting pressure, it is shown that the axial force can be predicted by the tangential force, radial force and geometric conditions. Also, the rela- tionship between specific cutting pressure and cutting conditions including feedrate, cutting velocity and depth of cut is studied.

• 한국공작기계학회논문집
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• 제17권5호
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• pp.116-122
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• 2008

In order to establish automation or optimization of the machining process, predictions of the forces in machining are often needed. A new model fur farces in milling with the experimental model based on the specific cutting pressure and the Oxley's predictive machining theory has been developed and is presented in this paper. The specific cutting pressure is calculated according to the definition of the 3 dimensional cutting forces suggested by Oxley and some preliminary milling experiments. Using the model, the average cutting forces and force variation against cutter rotation in milling can be predicted. Milling experimental tests are conducted to verify the model and the predictive results agree well with the experimental results.

• 한국환경과학회지
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• 제27권6호
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• pp.349-358
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• 2018

In this study, using coke dust from ironwork, the pulse pressure on a pulse air jet bag filter was investigated considering the influence of the pressure loss due to filtration velocity and pressure intervals. The research on the optimal pulse pressure prediction of a pulse air jet type bag filter using coke dust showed the following results. Pressure loss volatility produced by the pulse pressure under low dust concentration(0.5, $1g/m^3$) and low face velocity(1.25 m/min) was less than $10mmH_2O$. This suggests that the pulse pressure has a low impact on the pressure loss. In contrast, pressure loss volatility under high dust concentration($3g/m^3$) and high face velocity(1.75 m/min) was $25mmH_2O$. Therefore, pulse pressure with high dust concentration and high face velocity has a strong influence on the pressure loss volatility, compared to the condition of low dust concentration and low face velocity. The optimal pulse pressure of inlet dust concentration($0.5g/m^3$) was $6kg/cm^2$ under the same face velocity(1.75 m/min). As concentration increased from 1 to $2g/m^3$, the pulse pressure gradually reached $5kg/cm^2$ thus indicating that the pulse pressure($5kg/cm^2$) is pertinent at a high concentration($3g/m^3$). The pulse intervals: 20, 25 and 30 sec, which are relatively longer than 10 and 15 sec, corresponded to high pressure loss volatility produced by the pulse pressure. Furthermore, low pressure loss volatility was noted at $5kg/cm^2$ of the overall pulse pressure.

• 한국환경과학회지
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• 제19권4호
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• pp.437-446
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• 2010

The pressure drop through pulse air jet-type bag filter is one of the most important factors on the operating cost of bagfilter houses. In this study, the pilot-scale pulse air jet-type bag filter with about 6 m2 filtration area was designed and tested for investigating the effects of the four operating conditions on the total pressure drop, using the coke dust collected from a steel mill factory. When the face velocity is higher than 2 m/min, it is not applicable to on-spot due to the increase of power expenses resulting from a high-pressure drop, and thus, 1.5 m/min is considered to be reasonable. The regression analysis results show that the degree of effects of independent parameters is a order of face velocity > concentration > time > pressure. The results of SPSS answer tree analysis also reveal that the operation time affects the pressure drop greatly in case of 1 m/min of face velocity, while the inlet concentration affects the pressure drop in case of face velocity more than 1.5 m/min.

• Geomechanics and Engineering
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• 제29권3호
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• pp.291-300
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• 2022

Tunnel boring machines combined with the earth pressure balanced shield method (EPB shield TBMs) have been adopted in urban areas as they allow excavation of tunnels with limited ground deformation through continuous and repetitive excavation and support. Nevertheless, the expansion of TBM construction requires much more minor and exquisitely controlled surface settlement to prevent economic loss. Several parametric studies controlling the tunnel's geometry, ground properties, and TBM operational factors assuming ordinary conditions for EPB shield TBM excavation have been conducted, but the impact of excessive excavation on the induced settlement has not been adequately studied. This study conducted a numerical evaluation of surface settlement induced by the ground loss from face imbalance, excessive excavation, and tail void grouting. The numerical model was constructed using FLAC3D and validated by comparing its result with the field data from literature. Then, parametric studies were conducted by controlling the ground stiffness, face pressure, tail void grouting pressure, and additional volume of muck discharge. As a result, the contribution of these operational factors to the surface settlement appeared differently depending on the ground stiffness. Except for the ground stiffness as the dominant factor, the order of variation of surface settlement was investigated, and the volume of additional muck discharge was found to be the largest, followed by the face pressure and tail void grouting pressure. The results from this study are expected to contribute to the development of settlement prediction models and understanding the surface settlement behavior induced by TBM excavation.

• 터널과지하공간
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• 제19권6호
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• pp.479-489
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• 2009

터널 굴착시 굴진면 전방의 지반상태를 사전에 파악하는 것은 터널의 안정성을 증가시킴과 동시에 시공성을 향상시켜 경제적인 터널 시공을 할 수 있도록 한다. 이에 본 연구에서는 터널 천공시 획득되는 천공데이터를 이용하여 굴진면 전방의 암반강도를 예측하고자 하였다. 이는 암반강도가 현장에서 암반분류 및 지보패턴 설계 등의 핵심인자로 가장 보편적으로 활용될 뿐만 아니라, 암반강도의 변화를 통해 굴진면 전방의 지반상태 변화를 예측하는데도 활용할 수 있기 때문이다. 이를 위해 본 연구에서는 다양한 강도 특성을 보이는 균질한 암석시험편을 대상으로 착암기 종류를 변화시켜가며 천공실험을 수행하였다. 실험결과 천공속도는 다른 천공데이터들과 착암기의 종류 및 암석의 강도에 따라 고유한 값을 보이는 것으로 나타났다. 또한, 동일한 암석에 대해 천공시 타격압이 증가하면 천공속도는 선형적으로 비례하여 증가하는 것으로 나타났다. 이러한 결과를 바탕으로 본 연구에서는 터널 시공 현장에서 착암기의 제원, 현장 계측 데이터 및 천공속도와 암반강도의 상관관계를 이용하여 터널 굴진면 전방의 암반강도를 예측할 수 있는 방안을 제안하였다.

• Earthquakes and Structures
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• 제18권1호
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• pp.73-82
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• 2020

With the coal mining depth increasing, both stress and gas pressure rapidly enhance, causing coal and gas outburst risk to become more complex and severe. The conventional method for prediction of coal and gas outburst adopts one prediction index and corresponding critical value to forecast and cannot reflect all the factors impacting coal and gas outburst, thus it is characteristic of false and missing forecasts and poor accuracy. For the reason, based on analyses of both the prediction indicators and the factors impacting coal and gas outburst at the test site, this work carefully selected 6 prediction indicators such as the index of gas desorption from drill cuttings Δh₂, the amount of drill cuttings S, gas content W, the gas initial diffusion velocity index ΔP, the intensity of electromagnetic radiation E and its number of pulse N, constructed the Bayes discriminant analysis (BDA) index system, studied the BDA-based multi-index comprehensive model for forecast of coal and gas outburst risk, and used the established discriminant model to conduct coal and gas outburst prediction. Results showed that the BDA - based multi-index comprehensive model for prediction of coal and gas outburst has an 100% of prediction accuracy, without wrong and omitted predictions, can also accurately forecast the outburst risk even for the low indicators outburst. The prediction method set up by this study has a broad application prospect in the prediction of coal and gas outburst risk.

• 한국터널지하공간학회 논문집
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• 제16권6호
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• pp.599-614
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• 2014

TBM으로 시공되는 터널은 기계에 의해 전단면 굴착(full face tunnelling)이 이루어지므로, 굴착면에 접근하는 것이 매우 제한적이다. 이러한 한계를 극복하고 TBM 터널에서 굴착면 전방의 지반상태를 정확히 예측할 수 있는 기술은 매우 드물다. 본 연구는 TBM에서 전기비저항을 사용하여 굴착면 전방의 이상지반을 예측할 수 있는 TBM 비저항 예측(TRP)시스템을 개발하고, TBM 현장에서의 적용성과 예측 정확성을 검증하기 위해 EPB 쉴드 TBM으로 시공 중인 지하철 터널에서 현장 실험을 수행하였다. TBM 비저항 예측 시스템은 전극을 사용하여 지반의 전기비저항을 측정하고, 이를 바탕으로 역해석을 수행하여, 이상지반의 위치와 두께 및 전기적 특성을 예측한다. 전극이 부착된 강관을 유압으로 굴착면에 압입하여, 전극이 지반과 완전히 접촉하도록 장치를 제작하였다. 또한, 전극이 챔버 내부를 관통하여 나아가도록 하는 동시에 토사유출을 방지하도록 설계하여 현장에서의 전방예측을 가능하게 하였다. 1차 실험 결과, 굴착면 근접 지반과 굴착면 전방 지반의 전기비저항 및 유전율이 동일하게 나타나 이상지반이 존재하지 않음을 예측하였다. 2차 실험 결과, 굴착면 전방 약 1 m 지점부터 상대적으로 낮은 유전율 비를 가지는 이상지반 구간이 약 5 m 길이로 존재함을 예측하였다. 이는 각각 지표에서 물리탐사 또는 시추를 통해 조사된 지반상태 및 TBM 굴착 중 예측 구간에서 반출되었던 버력을 관찰한 기록과 잘 일치하였다.