• Title/Summary/Keyword: Cut Joint

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Study of Structurally Controlled Slope Instability: Pibanryeong, Chungbuk, S. Korea (지질 구조에 의한 사면의 불안정성에 관한 연구: 충북 피반령 부근)

  • Cheong, Sang-Won;Choi, Byoung-Ryol
    • The Journal of Engineering Geology
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    • v.18 no.4
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    • pp.459-470
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    • 2008
  • Types of slope failure related to cut slope stability are interpreted through case analyses, and also factors affecting structurally controlled instability investigated, which are developed by geologic structures along a national road No. 25 across the Cheongwon and Boeun-Guns, Chungbuk. Engineering properties such as orientation, persistence, roughness and uniaxial compressive strength of joints are analyzed by square-inventory method in three areas with well-preserved outcrops. The study area is located in Ogcheon folded bet, and are composed of quartz-schist and quartzite in the Midongsan Formation and phyllite in the Ungyori Formation. Flexural beds by folding, schistosity and cleavage besides joints are developed due to slight metamorphism. Various types of joints developed by folding are formed such as strike-parallel, strike-perpendicular, wedge and wrench joint sets by both initially regional and later superposed folding. Factors of slope instability are created by crossing the orientations of joint, cleavage, bedding and slope one another. In the case that the orientation of a slope is coincident with one of beds, factors causing large-scale failure including plane failure are increased greatly. Also in the region that orientations of the slope and bed are crossed each other at high angle, only local and minor failures are shown in the slope.

Experimental Study on the Precast Concrete Joint using Re-bar Debonding and Cutting Technique (철근 비부착 및 절단 기법을 사용한 PC 접합부의 실험적 연구)

  • Yi, Waon-Ho;Moon, Jung-Ho;Lee, Yong-Jae;Lee, Han-Jun
    • Journal of the Korean Society of Hazard Mitigation
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    • v.2 no.4 s.7
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    • pp.131-141
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    • 2002
  • Precast concrete (PC) panels are often used as retaining walls to support soil pressure. In such a case, the panels should be connected at the location where PC panels meet with a buttress. However, it is not easy to provide enough development length for the reinforcing steels due to the limited width of the buttress. If it happens, the width of buttress should be increased as large enough although it is not desirable. The critical section required for providing the development length is always located where the flexural moment is maximum. Thus it is the place the buttress width ends. Also it is the place that the reinforcing steels stressed to maximum. However, it is possible to make differentiate between the maximum moment location and the most stressed location of reinforcing steels. It means that the most stressed location of reinforcing steels, the critical section, can be moved to the other place where the moment is not maximum. New critical location will have less moment than that of buttress width ends. In consequence, the development length would be longer than that of the typical way of construction. Debonding or cutting technique make it possible to reduce the moment strength of a section. Therefore reinforcing steels are debonded or cut to have a desired flexural strength at a desired place. In this study, five test specimens in full scale were erected to examine the effects of critical section movement in PC panel joints. Test parameters were the length variations of debonded and cut reinforcing steels. The test results showed that the debonding or cutting technique could be used to lengthen the development length in the joint of PC panels.

Reliability Analysis of Plane Failure in Rock Slope (암반사면의 평면파괴에 대한 신뢰성해석)

  • 장연수;오승현;김종수
    • Journal of the Korean Geotechnical Society
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    • v.18 no.4
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    • pp.119-126
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    • 2002
  • A reliability analysis is performed to investigate the influence of the uncertainty from few in-situ samples and inherent heterogeneity of the ground on the probability of failure for a rock cut slope. The results are compared with those of deterministic slope stability analysis. The random variables used are unit weight of the rock, the angle of potential slope of failure, and cohesion and internal friction angle of joints. It was found that the rock slope in which the factor of safety satisfied the minimum safety factor in the deterministic analysis has high probability of failure in the reliability analysis when the weak geological strata are involved in the cut slope. The probability of failure of rock slope is most sensitive to the mean and standard deviation of cohesion in rock joint among the random soil parameters included in the reliability analysis. Sensitivities of the mean values are larger than those of standard deviations, which means that accurate estimation of the mean for the in-situ geotechnical properties is important.

A Study on Stress Assessment of Standing Gas Pipeline Subjected to Ground-Subsidence (지반 침하를 고려한 도시가스 입상배관의 응력평가)

  • Kil, Seong-Hee;Kim, Byung-Duk;Kwon, Jeong-Rock;Yoon, Kee-Bong
    • Journal of the Korean Institute of Gas
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    • v.17 no.2
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    • pp.1-8
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    • 2013
  • In this study, 120 cases of damage due to ground subsidence of city gas pipeline which is hanging on apartment outer wall were investigated. From the survey results, it was determined to be approximately 100m~200mm ground subsidence occurred and at severe damage, pipeline was cut and the gap was about 50mm between two cut pipeline. Device for measuring the amount of deformation of standing gas pipeline was designed and fabricated. And installed it on apartment outer wall for measuring the deformation due to ground subsidence, after 5 months measurement the amount of ground subsidence was measured to 1.3mm. Stress assessment was conducted based on results of ground subsidence occurred on standing gas pipeline.

An Analysis of Compression Wear Designs and Structural Elements (컴프레션웨어의 디자인과 제품구성요소 분석)

  • Lee, Jung Hwa;Jun, Jung Il;Choi, KuengMi
    • Fashion & Textile Research Journal
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    • v.16 no.3
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    • pp.421-433
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    • 2014
  • The aim of this study was to provide compression wear manufacture brands with information needed for product development. 8 tops and 7 bottoms from widely recognized compression wear manufacture brands were selected, and their product structural elements were analyzed, too. The results showed that most compression wear designs were applications of cutting lines designed considering muscle movements of the human body. The average number of cutting lines for patterns and designs were 14 for tops and 15 for bottoms. Different colored material was mainly used on the top for areas that require ventilation or high movement during sports for tops, and for areas that require muscle and joint support during sports for bottoms. The functionality of top materials were found to be stretch, muscle support, moisture absorption and high speed drying, warmth and ventilation for tops, in order of frequency, and stretch, muscle support, moisture absorption and high speed drying, and pressure for bottoms, in order of frequency. Tops were cut in the direction of the lengthwise grain, and bottoms were not only cut in the direction of the lengthwise grain, but also in the direction of the crosswise grain and bias for many products. Tops consisted of an average of 13 organically connected panels, and bottoms consisted of an average of 18 organically connected panels, which was analyzed to improve functionality. The average clothing surface area stretch rate was 85.7% for tops and 70.0% for bottoms, indicating that bottoms were designed to have higher strain rates compared to tops.

How to incorporate human failure event recovery into minimal cut set generation stage for efficient probabilistic safety assessments of nuclear power plants

  • Jung, Woo Sik;Park, Seong Kyu;Weglian, John E.;Riley, Jeff
    • Nuclear Engineering and Technology
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    • v.54 no.1
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    • pp.110-116
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    • 2022
  • Human failure event (HFE) dependency analysis is a part of human reliability analysis (HRA). For efficient HFE dependency analysis, a maximum number of minimal cut sets (MCSs) that have HFE combinations are generated from the fault trees for the probabilistic safety assessment (PSA) of nuclear power plants (NPPs). After collecting potential HFE combinations, dependency levels of subsequent HFEs on the preceding HFEs in each MCS are analyzed and assigned as conditional probabilities. Then, HFE recovery is performed to reflect these conditional probabilities in MCSs by modifying MCSs. Inappropriate HFE dependency analysis and HFE recovery might lead to an inaccurate core damage frequency (CDF). Using the above process, HFE recovery is performed on MCSs that are generated with a non-zero truncation limit, where many MCSs that have HFE combinations are truncated. As a result, the resultant CDF might be underestimated. In this paper, a new method is suggested to incorporate HFE recovery into the MCS generation stage. Compared to the current approach with a separate HFE recovery after MCS generation, this new method can (1) reduce the total time and burden for MCS generation and HFE recovery, (2) prevent the truncation of MCSs that have dependent HFEs, and (3) avoid CDF underestimation. This new method is a simple but very effective means of performing MCS generation and HFE recovery simultaneously and improving CDF accuracy. The effectiveness and strength of the new method are clearly demonstrated and discussed with fault trees and HFE combinations that have joint probabilities.

Deep Learning-Based Companion Animal Abnormal Behavior Detection Service Using Image and Sensor Data

  • Lee, JI-Hoon;Shin, Min-Chan;Park, Jun-Hee;Moon, Nam-Mee
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.1-9
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    • 2022
  • In this paper, we propose the Deep Learning-Based Companion Animal Abnormal Behavior Detection Service, which using video and sensor data. Due to the recent increase in households with companion animals, the pet tech industry with artificial intelligence is growing in the existing food and medical-oriented companion animal market. In this study, companion animal behavior was classified and abnormal behavior was detected based on a deep learning model using various data for health management of companion animals through artificial intelligence. Video data and sensor data of companion animals are collected using CCTV and the manufactured pet wearable device, and used as input data for the model. Image data was processed by combining the YOLO(You Only Look Once) model and DeepLabCut for extracting joint coordinates to detect companion animal objects for behavior classification. Also, in order to process sensor data, GAT(Graph Attention Network), which can identify the correlation and characteristics of each sensor, was used.

Analysis and study of Deep Reinforcement Learning based Resource Allocation for Renewable Powered 5G Ultra-Dense Networks

  • Hamza Ali Alshawabkeh
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.226-234
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    • 2024
  • The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.

A Experimental Study for the Mechanical Behavior of Rock Joints under Cyclic Shear Loading (주기전단 하중하의 암석 절리의 역학적 거동에 관한 실험적 연구)

  • 이희석;박연준;유광호;이희근
    • Tunnel and Underground Space
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    • v.9 no.4
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    • pp.350-363
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    • 1999
  • The precision cyclic shear test system was established to investigate the mechanical characteristics of rough rock joints under cyclic loading conditions. Laboratory cyclic shear tests were conducted for saw-cut joints and artificial rough rock joints using Hwangdeung granite and Yeosan marble. Surface roughness and aperture characteristics of specimens were examined by measuring surface topography using the laser profilometer. Peak shear strength, phase difference during loading and unloading, and anisotropic shear behavior were investigated throughout the cyclic shear test results. These features and their subsequent variations in each loading cycle are significantly dependent upon the second order asperities and the strength of intact rock. It was observed that degradation of asperities for rough rock joints under cyclic shear loading followed the exponential degradation laws of asperity angle and that the mechanism for asperity degradation would be different depending upon the normal stress level, roughness of joint surface and the loading stage.

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Femoral Nerve Injury after Rectus Abdominis Muscle Slap Harvesting: A Case Report (복직근 유리피판 거상 후 합병된 대퇴 신경손상 1례)

  • Kim, Jino;Lew, Dae Hyun;Tark, Kwan Chul
    • Archives of Plastic Surgery
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    • v.33 no.4
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    • pp.510-513
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    • 2006
  • Purpose: The Rectus abdominis muscle free flap is utilized in various reconstruction surgeries due to easiness in harvesting, consistency of vascular pedicle and reduced donor site morbidity. But rarely, femoral nerve injury during rectus abdominis harvesting can be resulted. We report a case of femoral nerve injury after rectus muscle harvesting and discuss the injury mechanism with the follow-up process of this injury. Methods: To reconstruct the defect of middle cranial base after wide excision of cystic adenocarcinoma of the external ear, rectus muscle free flap was havested in usual manner. To achieve a long vessel, inferior epigastric artery was dissected to the dividing portion of femoral artery and cut. Results: One week after the surgery, the patient noted sensory decrease in the lower leg, weakness in muscle strength, and disabilities in extension of the knee joint resulting in immobilization. EMG and NCV results showed no response on stimulation of the femoral nerve of the left leg, due to the defects in femoral nerve superior to the inguinal ligament. With routine neurologic evaluations and physical therapy, on the 75th day after the operation, the patient showed improvement in pain, sensation and muscle strength, and was able to move with walking frame. In 6 months after the operation, recovery of the muscle strength of the knee joint was observed with normal flexion and extension movements. Conclusion: Rarely, during dissection of the inferior epigastric artery, injuries to the femoral nerve can be resulted, probably due to excessive traction or pressure from the blade of the traction device. Therefore, femoral nerve injury can be prevented by avoiding excessive traction during surgery.