• Title/Summary/Keyword: Rate of penetration

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Experimental observation and numerical simulation of cement grout penetration in discrete joints

  • Lee, Jong-Won;Kim, Hyung-Mok;Yazdani, Mahmoud;Lee, Hangbok;Oh, Tae-Min;Park, Eui-Seob
    • Geomechanics and Engineering
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    • v.18 no.3
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    • pp.259-266
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    • 2019
  • This paper presents a comparison between experimental measurements and numerical estimations of penetration length of a cement grout injected in discrete joints. In the experiment, a joint was generated by planar acryl plates with a certain separation distance (; aperture) and was designed in such a way to vary the separation distances. Since a cement grout was used, the grout viscosity can be varied by controlling water-cement (W/C) ratios. Throughout these experiments, the influence of joint aperture, cement grout viscosity, and injection rate on a penetration length in a discrete joint was investigated. During the experiments, we also measured the time-dependent variation of grout viscosity due to a hardening process. The time-dependent viscosity was included in our numerical simulations as a function of elapsed time to demonstrate its impact on the estimation of penetration length. In the numerical simulations, Bingham fluid model that has been known to be applicable to a viscous cement material, was employed. We showed that the estimations by the current numerical approach were well comparable to the experimental measurements only in limited conditions of lower injection rates and smaller joint apertures. The difference between two approaches resulted from the facts that material separation (; bleeding) of cement grout, which was noticeable in higher injection rate and there could be a significant surface friction between the grout and joint planes, which are not included in the numerical simulations. Our numerical simulation, meanwhile, could well demonstrate that penetration length can be significantly over-estimated without considering a time-dependency of viscosity in a cement grout.

Prediction of Rock Mass Strength Ahead of Tunnel Face Using Hydraulic Drilling Data (천공데이터를 이용한 터널 굴진면 전방 암반강도 예측)

  • Kim, Kwang-Yeom;Kim, Sung-Kwon;Kim, Chang-Yong;Kim, Kwang-Sik
    • Tunnel and Underground Space
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    • v.19 no.6
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    • pp.479-489
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    • 2009
  • Appropriate investigation of ground condition near excavation face in tunnelling is an inevitable process for safe and economical construction. In this study mechanical parameters from drilling process for blasting were investigated for the purpose of predicting the ground condition, especially rock mass strength, ahead of tunnel face. Rock mass strength is one of the most important factors for classification of rock mass and making a decision of support type in underground construction. Several rock specimens which are considered homogeneous and having different strength values respectively were tested by hydraulic drill machines generally used. As a result, penetration rate is fairly related with rock mass strength among drilling parameters. It is also found that penetration rate increases along with the higher impact pressure even under same rock strength condition. It is finally suggested that new prediction method for rock mass strength using percussive pressure and penetration rate during drilling work can be utilized well in construction site.

Measuring the Light Dosimetry Within Biological Tissue Using Monte Carlo Simulation (Monte Csrlo 시뮬레이션을 이용한 생체조직내의 광선량 측정)

  • 임현수;구철희
    • Journal of Biomedical Engineering Research
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    • v.20 no.2
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    • pp.199-204
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    • 1999
  • As the correct measuring of the light dosimetry in biological tissues give the important affection to the effect of PDT treatment we used Monte Carlo simulation to measure the light dosimetry on this study. The parameters using in experiments are the optical properties of the real biological tissue, and we used Henyey-Greenstein phase function among the phase functions. As we results, we displayed the result the change of Fluence rate and the difference against the previous theory was at least 0.35%. Biological tissues using in experiment were Human tissue, pig tissue, rat liver tissue and rabbit muscle tissue. The most of biological tissue have big scattering coefficient in visible wavelength which influences penetration depth. The penetration depth of human tissue in visible region is 1.5~2cm. We showed that it is possible to measure fluence rate and penetration depth within the biological tissues by Monte Carlo simulation very well.

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Performance of the Road Network with Market Penetration Rates and Traffic Volumes of Autonomous Vehicle using Traffic Simulation (시뮬레이션 기반 자율주행자동차 혼입률과 교통량 변화에 따른 도로 네트워크의 성능 분석)

  • Do, Myungsik;Jeong, Yumi
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.44 no.3
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    • pp.349-360
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    • 2024
  • The purpose of this study is to analyze the performance of the road network according to the penetration rate of autonomous vehicles (AV) of Level 4 or higher and the change in traffic volume. First, prior studies related to vehicle control variables of AV were reviewed, and future traffic demand in 2040, which is predicted to have a 50 % market share of AVs, was reflected in the simulation analysis. In addition, the change in traffic flow of continuous and intermittent flows was analyzed by increasing the AV market penetration rate and traffic volume of passenger cars, trucks, and buses by 25 % step by step from 0 to 100 %. As a result of the analysis, it was confirmed that the travel time increased as the traffic increased, and the pattern of decreasing the travel time due to the increase in the share of AVs, that is, the development of technology, can also be confirmed. Furthermore, it was also confirmed that the traffic speed showed a trend of increasing as the share of AVs increased. In this study, it was confirmed that the law of diminishing marginal rate of substitution (MRS) was satisfied by calculating the MRS according to the combination of traffic volume and speed while increasing the market penetration rate of AVs. Furthermore, it was confirmed that the convexity of the indifference curve was also satisfied in both intermittent and continuous traffic flow environments.

Development of penetration rate prediction model using shield TBM excavation data (쉴드 TBM 현장 굴진데이터를 이용한 굴착속도 예측모델 개발)

  • La, You-Sung;Kim, Myung-In;Kim, Bumjoo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.4
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    • pp.519-534
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    • 2019
  • Mechanized tunneling methods, including shield TBM, have been increasingly used for tunnel construction because of their relatively low vibration and noise levels as well as low risk of rock-falling accidents. In the excavation using the shield TBM, it is important to design penetration rate appropriately. In present study, both subsurface investigation data and shield TBM excavation data, produced for and during ${\bigcirc}{\bigcirc}{\sim}{\bigcirc}{\bigcirc}$ high-speed railway construction, were analyzed and used to compare with shield TBM penetration rates calculated using existing penetrating rate prediction models proposed by several foreign researchers. The correlation between thrust force per disk cutter and uniaxial compressive strength was also examined and, based on the correlation analysis, a simple prediction model for penetration rate was derived. The prediction results using the existing prediction models showed approximately error rates of 50~500%, whereas the results from the simple model proposed from this study showed an error rate of 15% in average. It may be said, therefore, that the proposed model has higher applicability for shield TBM construction in similar ground conditions.

Estimation of tunnel boring machine penetration rate: Application of long-short-term memory and meta-heuristic optimization algorithms

  • Mengran Xu;Arsalan Mahmoodzadeh;Abdelkader Mabrouk;Hawkar Hashim Ibrahim;Yasser Alashker;Adil Hussein Mohammed
    • Geomechanics and Engineering
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    • v.39 no.1
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    • pp.27-41
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    • 2024
  • Accurately estimating the performance of tunnel boring machines (TBMs) is crucial for mitigating the substantial financial risks and complexities associated with tunnel construction. Machine learning (ML) techniques have emerged as powerful tools for predicting non-linear time series data. In this research, six advanced meta-heuristic optimization algorithms based on long short-term memory (LSTM) networks were developed to predict TBM penetration rate (TBM-PR). The study utilized 1125 datasets, partitioned into 20% for testing, 70% for training, and 10% for validation, incorporating six key input parameters influencing TBM-PR. The performances of these LSTM-based models were rigorously compared using a suite of statistical evaluation metrics. The results underscored the profound impact of optimization algorithms on prediction accuracy. Among the models tested, the LSTM optimized by the particle swarm optimization (PSO) algorithm emerged as the most robust predictor of TBM-PR. Sensitivity analysis further revealed that the orientation of discontinuities, specifically the alpha angle (α), exerted the greatest influence on the model's predictions. This research is significant in that it addresses critical concerns of TBM manufacturers and operators, offering a reliable predictive tool adaptable to varying geological conditions.

Spray Penetrations of Dimethyl Ether (DME) and Diesel for the Variation of Injection Rate (분사율 변화에 따른 Dimethyl Ether (DME)와 디젤의 분무도달거리)

  • Choi, Wook;Lee, Ju-Kwang;Bae, Choong-Sik
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.6
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    • pp.16-22
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    • 2004
  • Dimethyl Ether (DME) has been considered as one of the most attractive alternative fuels for a compression ignition engine. The major advantage of DME-fuelled engine is a great potential for soot-free combustion without sacrificing an inherent high thermal efficiency of diesel engine, despite a necessity for modification of the conventional fuel injection system. An experimental study on DME and conventional diesel sprays was conducted by employing a common-rail type fuel injection system with a 5-holes sac type nozzle, including a constant volume vessel pressurized with nitrogen gas. The injection rates of DME and diesel fuel were recorded with the Bosch type injection rate meter. The injection delay of DME was shorter than that of diesel fuel. The measured injection rates of DME and diesel fuel were correlated with spray penetrations. The prediction method of spray penetration was established using the injection rates, which was verified with the Dent's penetration model and found to agree well for DME case.

The basic study of spray characteristics and optimal fuel injection for high pressure injector in homogeneous charge compression ignition engine (예혼합 압축 착화 엔진용 고압 인젝터의 분무특성과 분사조건 최적화에 관한 기초 연구)

  • Ryu, Jea-Duk;Kim, Hyung-Min;Lee, Ki-Hyung;Lee, Chang-Sik
    • Journal of ILASS-Korea
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    • v.9 no.1
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    • pp.30-36
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    • 2004
  • The purpose of this study was to investigate the fuel spray characteristics that made most important at an homogeneous air fuel mixture, in a common rail direct injection type HCCI engine. As a study conducted relation which a back pressure and injection pressure are influenced to air fuel mixture characteristics, we tried to offer date even through we select suitable to a HCCI engine running condition of the fuel injection condition. To accomplish the study, to measure a injection rate of common rail type injector and to visualize and simulate a fuel spray was conducted. From the result of injection rate, a common rail injector was confirmed to appear a initial delay of 0.3msec and a latter period delay of 0.7msec. Therefore, real injection duration was determined by about 0.5msec increasing. From the result of fuel spray, the spray penetration was proportional to 1/4 exponent of atmosphere pressure. An experimental equation was deduced from the spray penetration of spray visualization experiment and the relation of injection duration and penetration was estimated in HCCI engine using an experimental equation.

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Capillary Flow in Different Cells of Ginkgo Biloba, Diospyros Kaki and Ailanthus Altissima (은행나무, 감나무, 가중나무 세포내강의 액체이동)

  • Chun, Su Kyoung
    • Journal of the Korea Furniture Society
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    • v.26 no.2
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    • pp.179-185
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    • 2015
  • A study was carried out to observe the 1% aqueous safranine solution flow speed in longitudinal and radial directions of softwood G. biloba, ring-porous wood A. altissima, and diffuse- porouswood D. kaki. In radial direction, ray cells and in longitudinal direction tracheids, vessel and wood fiber were considered for the measurement of liquid penetration speed at less than 12% moisture contents (MC). The length, lumen diameter, pit diameter, end wall pit diameter and the numbers of end wall pits determined for the flow rate. The liquid flow in the those cells was captured via video and the capillary flow rate in the ones were measured. Vessel in hardwood species and tracheids in softwood was found to facilitate prime role in longitudinal penetration. Radial flow speed was found highest in ray parenchyma of G. biloba. Anatomical features like the length and diameter, end-wall pit numbers of ray parenchyma were found also responsible fluid flow differences. On the other hand, vessel and fiber structure affected the longitudinal flow of liquids. Therefore, the average liquid penetration depth in longitudinal tracheids of G. biloba was found the highest among all cells considered in D. kaki and A. altissima.

Effect of Oviductal Epithelial Cell Monolayer on Sperm Penetration In Vitro in Porcine (돼지의 체외수정시 난관상피세포가 정자의 침입에 미치는 영향)

  • 박춘근;정희태;양부근;김정익
    • Journal of Embryo Transfer
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    • v.10 no.3
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    • pp.237-242
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    • 1995
  • Porcine follicular oocytes matured in culture were inseminated with frozen-thawed spermatozoa. When the oocytes were inseminated in the medium with oviductal epithelial cell monolayer, the penetration rates higher in those with (4.1, 31.7, 45.1, 54.5 and 69.4%) than without cells (0, 17.1, 34.8, 45.2 and 58.9%) at 4, 8, 12, 16 and 20 h after insemination. The proportions of polyspermy in penetrated oocytes in medium with or without cells increased with time of examine. In another experiment, the penetration rate was higher without (57.6%) than with (19.6~24.1%) preincubation of spermatozoa for 1~4 h in medium. However, when the oocytes were inseminated with spermatozoa preincubated for 1~2 h, the penetration rates significantly higher (P<0.05) in those with (65.6 and 55.9% for 1 and 2 h) than without (24.1 and 20.6% for 1 and 2 h) oviductal epithelial cell monolayer. On the other hand, the proportions of polyspermy decreased with time of spermatozoa preincubation. These results indicate the significant advantages of the spermatozoa preincubation with oviductal epithelial cell monolayer for 1 and 2 h to maintain penetration potential during in vitro fertilization in the porcine.

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