• Title/Summary/Keyword: resonance behavior

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Swelling Behaviors of Maleic Anhydride-Grafted EPDM by Treatment with Dichloroactic Acid (디클로로아세트산 처리에 따른 무수말레산-그래프트 EPDM의 팽윤 거동)

  • Kwon, Hyuk-Min;Choi, Sung-Seen
    • Elastomers and Composites
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    • v.48 no.1
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    • pp.55-60
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    • 2013
  • Swelling behaviors of raw (Specimen-R) and compressed (Specimen-C) samples of maleic anhydride-grafted EPDM (MAH-g-EPDM) depending on the treatment with dichloroacetic acid were investigated. Structural characteristics of the samples were analyzed by nuclear magnetic resonance spectroscopy (NMR) and attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). When the samples were not treated with dichloroacetic acid, the swelling ratio of Specimen-R was greater than that of Specimen-C by about twice and the swelling ratio change was negligible though the process of swelling and drying was repeated. When the samples were treated with dichloroacetic acid, the first swelling ratios were increased but the second ones were decreased. For the Specimen-C, the swelling ratio of the sample without the dichloroacetic acid treatment and the second swelling ratio of the sample treated with dichloroacetic acid were nearly the same. However, for the Specimen-R, the second swelling ratio of the sample treated with dichloroacetic acid was strikingly lower than that of the sample without the dichloroacetic acid treatment. The swelling ratio change according to the dichloroacetic acid treatment was explained by dissociation of the existing crosslinks and formation of new crosslinks.

Research on the Influence of Interaction, Identification and Recommendation of Entertainment Communication Platform (커뮤니케이션 플랫폼의 상호작용이 동일시와 추천 의도에 미치는 영향)

  • Zhao, Yi-Dan;Choi, Myeong-gil
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.6
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    • pp.23-33
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    • 2021
  • Under the long-term influence of COVID-19, offline activities were interrupted and online communication became the main way. With the rapid development of Korean Wave and network information technology, there have been many entertainment communication platforms. Fans can communicate with stars and other fans and share information through entertainment and communication platforms. This can improve users' perception of the value of entertainment communication platforms, arouse emotional resonance and have a positive impact on users' platform recommendation intention. In this study, the influence of user interaction, identity and recommendation intention of entertainment communication platforms was investigated by questionnaire. The results are as follows: First, the interaction between fans and content has a positive effect on psychological and behavioral identity. Second, the interaction between fans does not affect their psychological and behavioral identity. Third, the interaction between fans and stars has a positive impact on psychological identity and behavior identity. Fourth, psychological identity and behavioral identity have a positive impact on community members' willingness to recommend. Behavioral identity plays a partial mediating role between psychological identity and recommendation intention. Based on the above analysis results, the present situation, limitations and future research directions of this study are put forward.

Running Safety and Ride Comfort Prediction for a Highspeed Railway Bridge Using Deep Learning (딥러닝 기반 고속철도교량의 주행안전성 및 승차감 예측)

  • Minsu, Kim;Sanghyun, Choi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.6
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    • pp.375-380
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    • 2022
  • High-speed railway bridges carry a risk of dynamic response amplification due to resonance caused by train loads, and running safety and riding comfort must therefore be reviewed through dynamic analysis in accordance with design codes. The running safety and ride comfort calculation procedure, however, is time consuming and expensive because dynamic analyses must be performed for every 10 km/h interval up to 110% of the design speed, including the critical speed for each train type. In this paper, a deep-learning-based prediction system that can predict the running safety and ride comfort in advance is proposed. The system does not use dynamic analysis but employs a deep learning algorithm. The proposed system is based on a neural network trained on the dynamic analysis results of each train and speed of the railway bridge and can predict the running safety and ride comfort according to input parameters such as train speed and bridge characteristics. To confirm the performance of the proposed system, running safety and riding comfort are predicted for a single span, straight simple beam bridge. Our results confirm that the deck vertical displacement and deck vertical acceleration for calculating running safety and riding comfort can be predicted with high accuracy.

Prediction of the Natural Frequency of Pile Foundation System in Sand during Earthquake (사질토 지반에 놓인 지진하중을 받는 말뚝 기초 시스템의 고유 진동수 예측)

  • Yang, Eui-Kyu;Kwon, Sun-Yong;Choi, Jung-In;Kim, Myoung-Mo
    • Journal of the Korean Geotechnical Society
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    • v.26 no.1
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    • pp.45-54
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    • 2010
  • It is important to calculate the natural frequency of a piled structure in the design stage in order to prevent resonance-induced damage to the pile foundation and analyze the dynamic behavior of the piled structure during an earthquake. In this paper, a simple but relatively accurate method employing a mass-spring model is presented for the evaluation of the natural frequency of a pile-soil system. Greatly influencing the calculation of the natural frequency of a piled structure, the spring stiffness between a pile and soil was evaluated by using the coefficient of subgrade reaction, the p-y curve, and the subsoil elastic modulus. The resulting natural frequencies were compared with those of 1-g shaking table tests. The comparison showed that the natural frequency of the pile-soil system could be most accurately calculated by constructing a stiffness matrix with the spring stiffness of the Reese (1974) method, which utilizes the coefficient of the subgrade reaction modulus, and Yang's (2009) dynamic p-y backbone curve method. The calculated natural frequencies were within 5% error compared with those of the shaking table tests for the pile system in dry dense sand deposits and 5% to 40% error for the pile system in saturated sand deposits depending on the occurrence of excess pore water pressure in the soil.

Synthesis of Pressure-sensitive Acrylic Adhesives with Photoreactive Groups and Their Application to Semiconductor Dicing Tapes (광 반응성기를 갖는 아크릴 점착제의 합성과 반도체 다이싱 테이프로의 적용 연구)

  • Hee-Woong Park;Nam-Gyu Jang;Kiok Kwon;Seunghan Shin
    • Applied Chemistry for Engineering
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    • v.34 no.5
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    • pp.522-528
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    • 2023
  • In this work, adhesive tapes were prepared for the dicing process in semiconductor manufacturing. Compounds with different numbers of photoreactive groups (f = 1 to 3) were synthesized and incorporated into acrylic copolymers to formulate UV-curable acrylic adhesives. Structural confirmation of the synthesized photoreactive compounds (f = 2 or 3) was performed using nuclear magnetic resonance (NMR) spectroscopy. The introduction of the photoreactive compounds into the acrylic adhesive was accomplished by urethane reactions, and the successful synthesis of the UV-curable acrylic adhesive was verified by Fourier transform infrared (FT-IR) measurements. To evaluate the performance of the adhesive, the peel strength was evaluated before and after UV irradiation using a silicon wafer as a substrate. The adhesive exhibited high peel strength (~2000 gf/25 mm) before UV exposure, which was significantly reduced (~5 gf/25 mm) after UV exposure. Interestingly, the adhesive containing multifunctional photoreactive compounds showed the most significant reduction in peel strength. In addition, surface residue measurements by field emission scanning electron microscopy (FE-SEM) showed minimal surface residue (~0.2%) after UV exposure. Overall, these results contribute to the understanding of the behavior of UV-curable acrylic adhesives and pave the way for potential applications in semiconductor manufacturing processes.

Effect of Lead Content on Atomic Structures of Pb-bearing Sodium Silicate Glasses: A View from 29Si NMR Spectroscopy (납 함량에 따른 비정질 Pb-Na 규산염의 원자 구조에 대한 고상 핵자기 공명 분광분석 연구)

  • Lee, Seoyoung;Lee, Sung Keun
    • Korean Journal of Mineralogy and Petrology
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    • v.34 no.3
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    • pp.157-167
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    • 2021
  • Lead (Pb) is one of the key trace elements, exhibiting a peculiar partitioning behavior into silicate melts in contact with minerals. Partitioning behaviors of Pb between silicate mineral and melt have been known to depend on melt composition and thus, the atomic structures of corresponding silicate liquids. Despite the importance, detailed structural studies of Pb-bearing silicate melts are still lacking due to experimental difficulties. Here, we explored the effect of lead content on the atomic structures, particularly the evolution of silicate networks in Pb-bearing sodium metasilicate ([(PbO)x(Na2O)1-x]·SiO2) glasses as a model system for trace metal bearing natural silicate melts, using 29Si solid-state nuclear magnetic resonance (NMR) spectroscopy. As the PbO content increases, the 29Si peak widths increase, and the maximum peak positions shift from -76.2, -77.8, -80.3, -81.5, -84.6, to -87.7 ppm with increasing PbO contents of 0, 0.25, 0.5, 0.67, 0.86, and 1, respectively. The 29Si MAS NMR spectra for the glasses were simulated with Gaussian functions for Qn species (SiO4 tetrahedra with n BOs) for providing quantitative resolution. The simulation results reveal the evolution of each Qn species with varying PbO content. Na-endmember Na2SiO3 glass consists of predominant Q2 species together with equal proportions of Q1 and Q3. As Pb replaces Na, the fraction of Q2 species tends to decrease, while those for Q1 and Q3 species increase indicating an increase in disproportionation among Qn species. Simulation results on the 29Si NMR spectrum showed increases in structural disorder and chemical disorder as evidenced by an increase in disproportionation factor with an increase in average cation field strengths of the network modifying cations. Changes in the topological and configurational disorder of the model silicate melt by Pb imply an intrinsic origin of macroscopic properties such as element partitioning behavior.