• 제목/요약/키워드: Shear-key

검색결과 594건 처리시간 0.019초

형광공명에너지전이 알파카테닌 센서를 활용한 세포 부착접합부에서의 힘 전달 이미징 (Force Transmission in Cellular Adherens Junction Visualized by Engineered FRET Alpha-catenin Sensor)

  • 장윤관;서정수;석명은;김태진
    • Korean Chemical Engineering Research
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    • 제59권3호
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    • pp.366-372
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    • 2021
  • 캐드헤린-카테닌 복합체는 세포의 부착 접합부에서 힘의 전달에 중요한 역할을 하는 것으로 생각된다. 그러나 기계적 힘 신호를 시각화 하고 감지하는 적절한 도구의 부재로, 캐드헤린-카테닌 복합체가 세포 간 접합에서 힘 전달을 조절하는 기본 메커니즘은 아직 파악하기가 어렵다. 본 연구에서는 형광공명에너지전이를 기반으로 설계된 알파카테닌 센서를 사용하여 캐드헤린에 의해 매개되는 힘 전달을 시각화 하였다. 이러한 결과는 알파카테닌이 세포-세포 접합부에서 캐드헤린 매개 기계적에너지변환(mechanotransduction) 경로의 핵심적인 힘 트랜스듀서(force transducer) 임을 보여준다. 본 연구는 향후 기계적 힘의 세포-세포 상호간의 의사소통에 미치는 영향과 생리학적/병리학적 현상과의 관계를 연구하는 데 중요한 이해를 제공할 것이라 본다.

저온 Cu/Ag-Ag/Cu 본딩에서의 Ag 나노막 효과 (Effect of Ag Nanolayer in Low Temperature Cu/Ag-Ag/Cu Bonding)

  • 김윤호;박승민;김사라은경
    • 마이크로전자및패키징학회지
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    • 제28권2호
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    • pp.59-64
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    • 2021
  • 차세대 반도체 기술은 이종소자 집적화(heterogeneous integration)를 이용한 시스템-인-패키징(system-inpackage, SIP) 기술로 발전하고 있고, 저온 Cu 본딩은 SIP 구조의 성능 향상과 미세 피치 배선을 위해서 매우 중요한 기술이라 하겠다. 본 연구에서는 porous한 Ag 나노막을 이용하여 Cu 표면의 산화 방지 효과와 저온 Cu 본딩의 가능성을 조사하였다. 100℃에서 200℃의 저온 영역에서 Ag가 Cu로 확산되는 것보다 Cu가 Ag로 확산되는 것이 빠르게 관찰되었고, 이는 저온에서 Ag를 이용한 Cu간의 고상 확산 본딩이 가능함을 나타내었다. 따라서 Ag 나노막을 이용한 Cu 본딩을 200℃에서 진행하였고, 본딩 계면의 전단 강도는 23.27 MPa로 측정되었다.

Experimental study of strength characteristics of reinforced broken rock mass

  • Yanxu Guo;Qingsong Zhang;Hongbo Wang;Rentai Liu;Xin Chen;Wenxin Li;Lihai Zhang
    • Geomechanics and Engineering
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    • 재33권6호
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    • pp.553-565
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    • 2023
  • As the structure of broken rock mass is complex, with obvious discontinuity and anisotropy, it is generally necessary to reinforce broken rock mass using grouting in underground construction. The purpose of this study is to experimentally investigate the mechanical properties of broken rock mass after grouting reinforcement with consideration of the characteristics of broken rock mass (i.e., degree of fragmentation and shape) and a range of reinforcement methods such as relative strength ratio between the broken rock mass and cement-based grout stone body (λ), and volumetric block proportion (VBP) representing the volumetric ratio of broken rock mass and the overall cement grout-broken rock mass mixture after the reinforcement. The experimental results show that the strength and deformation of the reinforced broken rock mass is largely determined by relative strength ratio (λ) and VBP. In addition, the enhancement in compressive strength by grouting is more obvious for broken rock mass with spherical shape under a relatively high strength ratio (e.g., λ=2.0), whereas the shape of rock mass has little influence when the strength ratio is low (e.g., λ=0.1). Importantly, the results indicate that columnar splitting failure and inclined shear failure are two typical failure modes of broken rock mass with grouting reinforcement.

실대형 모형 실험을 이용한 강관합성 말뚝의 수평 거동 특성 평가 (Assessment of Lateral Behavior of Steel-concrete Composite Piles Using Full-scale Model Tests)

  • 권형민;이주형;박재현;정문경
    • 대한토목학회논문집
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    • 제29권5C호
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    • pp.199-206
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    • 2009
  • 본 연구에서는 수평하중을 받는 강관합성 말뚝의 역학적 특성을 평가하기 위하여 서로 다른 단면 특성을 가진 모형 말뚝에 대하여 실내 모형 실험을 수행하였다. 지반 반력의 효율적인 모사를 위하여 스프링 장치를 이용한 지반 반력 시스템을 개발하였으며, 축하중 및 수평하중을 독립적으로 재하할 수 있는 하중 재하 시스템을 적용하여 사용하중 상태에서의 말뚝의 수평방향 거동 특성을 평가하였다. 강관합성 말뚝은 기존의 현장타설 말뚝에 비하여 증가된 수평저항 특성을 보여주며, 강관 합성 효과에 의하여 강관 및 철근 콘크리트의 수치합 보다 큰 수평 극한강도를 발휘하는 것을 확인하였다. 또한, 전단 연결재의 사용에 따른 강관-콘크리트의 일체화 거동을 검토하였으며, 고강도 콘크리트의 사용에 따른 강관합성 말뚝의 하중 지지성능을 평가하였다. 이와 함께, 강관합성 말뚝의 강관에 의한 내부 철근망의 대체 가능성 여부를 평가하였다.

Supplementation of guanidinoacetic acid and rumen-protected methionine increased growth performance and meat quality of Tan lambs

  • Zhang, Jian Hao;Li, Hai Hai;Zhang, Gui Jie;Zhang, Ying Hui;Liu, Bo;Huang, Shuai;Guyader, Jessie;Zhong, Rong Zhen
    • Animal Bioscience
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    • 제35권10호
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    • pp.1556-1565
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    • 2022
  • Objective: Tan lambs (n = 36, 3 mo old, 19.1±0.53 kg) were used to assess effects of dietary guanidinoacetic acid (GAA) and rumen-protected methionine (RPM) on growth performance, carcass traits, meat quality, and serum parameters. Methods: Lambs were randomly assigned to three treatment groups, with 6 pens per group and 2 lambs per pen. Dietary treatments were: basal diet alone (I); basal diet supplemented with 0.08% GAA+0.06% RPM (II); and basal diet supplemented with 0.08% GAA+0.08% RPM (III). Diets were provided three times a day for 90 d. Intake per pen was recorded daily and individual lamb body weight (BW) was measured monthly. Carcass traits were measured after slaughter and meat quality at the end of the experiment, blood samples were taken on a subgroup of lambs for analysis of indicators mostly related to protein metabolism. Results: Final BW and average daily gain for the first and second month, and for the entire experiment were greater in Treatment II compared to Treatment I (p<0.05), whereas feed to gain ratio was lower (p<0.05). Treatment II had the optimal dressing percentage and net meat weight proportion, as well as crude protein and intramuscular fat concentrations in muscles. Treatment II improved meat quality, as indicated by the greater water holding capacity, pH after 45 min and 48 h, and lower shear force and cooking loss. Dietary supplementation of GAA and RPM also increased the meat color a* and b* values at 24 h. Finally, Treatment II increased total protein, and serum concentrations of albumin and creatinine, but decreased serum urea nitrogen concentrations, indicating improved protein efficiency. Conclusion: In this study, 0.08% GAA+0.06% RPM supplementation improved growth performance and meat quality of Tan lambs.

Experimental assessment on flexural behavior of demountable steel-UHPC composite slabs with a novel NPR steel plate

  • Jin-Ben Gu;Jun-Yan Wang;Yi Tao;Qing-Xuan Shi
    • Steel and Composite Structures
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    • 제49권4호
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    • pp.381-392
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    • 2023
  • This study experimentally investigates the flexural behavior of steel-UHPC composite slabs composed of an innovative negative Poisson's ratio (NPR) steel plate and Ultra High Performance Concrete (UHPC) slab connected via demountable high-strength bolt shear connectors. Eight demountable composite slab specimens were fabricated and tested under traditional four-point bending method. The effects of loading histories (positive and negative bending moment), types of steel plate (NPR steel plate and Q355 steel plate) and spacings of high-strength bolts (150 mm, 200 mm and 250 mm) on the flexural behavior of demountable composite slab, including failure mode, load-deflection curve, interface relative slip, crack width and sectional strain distribution, were evaluated. The results revealed that under positive bending moment, the failure mode of composite slabs employing NPR steel plate was distinct from that with Q355 steel plate, which exhibited that part of high-strength bolts was cut off, part of pre-embedded padded extension nuts was pulled out, and UHPC collapsed due to instantaneous instability and etc. Besides, under the same spacing of high-strength bolts, NPR steel plate availably delayed and restrained the relative slip between steel plate and UHPC plate, thus significantly enhanced the cooperative deformation capacity, flexural stiffness and load capacity for composite slabs further. While under negative bending moment, NPR steel plate effectively improved the flexural capacity and deformation characteristics of composite slabs, but it has no obvious effect on the initial flexural stiffness of composite slabs. Meanwhile, the excellent crack-width control ability for UHPC endowed composite members with better durability. Furthermore, according to the sectional strain distribution analysis, due to the negative Poisson's ratio effect and high yield strength of NPR steel plate, the tensile strain between NPR steel plate and UHPC layer held strain compatibility during the whole loading process, and the magnitude of upward movement for sectional plastic neutral axis could be ignored with the increase of positive bending moment.

한반도에서 발생한 중규모 대류계의 구름 주변 난류 발생 메커니즘 사례 연구 (A Case Study on Near-Cloud Turbulence around the Mesoscale Convective System in the Korean Peninsula)

  • 양성일;이주헌;김정훈
    • 대기
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    • 제34권2호
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    • pp.153-176
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    • 2024
  • At 0843 UTC 30 May 2021, a commercial aircraft encountered severe turbulence at z = 11.5 km associated with the rapid development of Mesoscale Convective System (MCS) in the Gyeonggi Bay of Korea. To investigate the generation mechanisms of Near-Cloud Turbulence (NCT) near the MCS, Weather Research and Forecasting model was used to reproduce key features at multiple-scales with four nested domains (the finest ∆x = 0.2 km) and 112 hybrid vertical layers. Simulated subgrid-scale turbulent kinetic energy (SGS TKE) was located in three different regions of the MCS. First, the simulated NCT with non-zero SGS TKE at z = 11.5 km at 0835 UTC was collocated with the reported NCT. Cloud-induced flow deformation and entrainment process on the downstream of the overshooting top triggered convective instability and subsequent SGS TKE. Second, at z = 16.5 km at 0820 UTC, the localized SGS TKE was found 4 km above the overshooting cloud top. It was attributed to breaking down of vertically propagating convectively-induced gravity wave at background critical level. Lastly, SGS TKE was simulated at z = 11.5 km at 0930 UTC during the dissipating stage of MCS. Upper-level anticyclonic outflow of MCS intensified the environmental westerlies, developing strong vertical wind shear on the northeastern quadrant of the dissipating MCS. Three different generation mechanisms suggest the avoidance guidance for the possible NCT events near the entire period of the MCS in the heavy air traffic area around Incheon International Airport in Korea.

Creation of regression analysis for estimation of carbon fiber reinforced polymer-steel bond strength

  • Xiaomei Sun;Xiaolei Dong;Weiling Teng;Lili Wang;Ebrahim Hassankhani
    • Steel and Composite Structures
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    • 제51권5호
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    • pp.509-527
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    • 2024
  • Bonding carbon fiber-reinforced polymer (CFRP) laminates have been extensively employed in the restoration of steel constructions. In addition to the mechanical properties of the CFRP, the bond strength (PU) between the CFRP and steel is often important in the eventual strengthened performance. Nonetheless, the bond behavior of the CFRP-steel (CS) interface is exceedingly complicated, with multiple failure causes, giving the PU challenging to forecast, and the CFRP-enhanced steel structure is unsteady. In just this case, appropriate methods were established by hybridized Random Forests (RF) and support vector regression (SVR) approaches on assembled CS single-shear experiment data to foresee the PU of CS, in which a recently established optimization algorithm named Aquila optimizer (AO) was used to tune the RF and SVR hyperparameters. In summary, the practical novelty of the article lies in its development of a reliable and efficient method for predicting bond strength at the CS interface, which has significant implications for structural rehabilitation, design optimization, risk mitigation, cost savings, and decision support in engineering practice. Moreover, the Fourier Amplitude Sensitivity Test was performed to depict each parameter's impact on the target. The order of parameter importance was tc> Lc > EA > tA > Ec > bc > fc > fA from largest to smallest by 0.9345 > 0.8562 > 0.79354 > 0.7289 > 0.6531 > 0.5718 > 0.4307 > 0.3657. In three training, testing, and all data phases, the superiority of AO - RF with respect to AO - SVR and MARS was obvious. In the training stage, the values of R2 and VAF were slightly similar with a tiny superiority of AO - RF compared to AO - SVR with R2 equal to 0.9977 and VAF equal to 99.772, but large differences with results of MARS.

척추 질환의 수기치료에서 진단용 초음파 활용을 위한 주제범위 문헌고찰 (Scoping Review of Ultrasonography in Assessing Manipulative Treatment for Spinal Diseases)

  • 김효은;정창연;최세진;이연우;황만석
    • 한방재활의학과학회지
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    • 제34권1호
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    • pp.11-22
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    • 2024
  • Objectives This study aims to comprehensively review research utilizing ultrasonography for assessing manipulative treatment on spinal diseases, with the goal of promoting the wider integration of ultrasound imaging into clinical practice. Methods A systematic search was conducted on three international databases (Embase, PubMed, Cochrane) up to July 23, 2023. The search included key terms such as ultrasonography, manipulation, and skeletal muscle. The inclusion criteria narrowed down the selection to studies specifically related to lumbar and cervical vertebrae. Results Eleven studies were included in the review, with 10 focusing on lumbar vertebrae and one on cervical vertebrae, all employing spinal manipulation treatment. Among the 11 selected studies, nine primarily focused on ultrasound imaging to measure muscle thickness, while two utilized shear wave elastography to assess muscle stiffness. Also, rigorous measures were taken to ensure the reliability of the ultrasonography data. Conclusions This scoping review highlights the limited but growing evidence supporting the use of ultrasonography to assess manipulative treatment for spinal diseases. Despite a scarcity of studies in South Korea, it is crucial to recognize the potential of ultrasonography in becoming a widely used and practical tool for evaluating the effectiveness of manipulative treatments in the near future.

Improved prediction of soil liquefaction susceptibility using ensemble learning algorithms

  • Satyam Tiwari;Sarat K. Das;Madhumita Mohanty;Prakhar
    • Geomechanics and Engineering
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    • 제37권5호
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    • pp.475-498
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    • 2024
  • The prediction of the susceptibility of soil to liquefaction using a limited set of parameters, particularly when dealing with highly unbalanced databases is a challenging problem. The current study focuses on different ensemble learning classification algorithms using highly unbalanced databases of results from in-situ tests; standard penetration test (SPT), shear wave velocity (Vs) test, and cone penetration test (CPT). The input parameters for these datasets consist of earthquake intensity parameters, strong ground motion parameters, and in-situ soil testing parameters. liquefaction index serving as the binary output parameter. After a rigorous comparison with existing literature, extreme gradient boosting (XGBoost), bagging, and random forest (RF) emerge as the most efficient models for liquefaction instance classification across different datasets. Notably, for SPT and Vs-based models, XGBoost exhibits superior performance, followed by Light gradient boosting machine (LightGBM) and Bagging, while for CPT-based models, Bagging ranks highest, followed by Gradient boosting and random forest, with CPT-based models demonstrating lower Gmean(error), rendering them preferable for soil liquefaction susceptibility prediction. Key parameters influencing model performance include internal friction angle of soil (ϕ) and percentage of fines less than 75 µ (F75) for SPT and Vs data and normalized average cone tip resistance (qc) and peak horizontal ground acceleration (amax) for CPT data. It was also observed that the addition of Vs measurement to SPT data increased the efficiency of the prediction in comparison to only SPT data. Furthermore, to enhance usability, a graphical user interface (GUI) for seamless classification operations based on provided input parameters was proposed.