• Title/Summary/Keyword: impact coefficient

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Nonlinear thermal post-buckling behavior of graphene platelets reinforced metal foams conical shells

  • Yin-Ping Li;Lei-Lei Gan;Gui-Lin She
    • Structural Engineering and Mechanics
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    • v.91 no.4
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    • pp.383-391
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    • 2024
  • Conical shell is a common engineering structure, which is widely used in machinery, civil and construction fields. Most of them are usually exposed to external environments, temperature is an important factor affecting its performance. If the external temperature is too high, the deformation of the conical shell will occur, leading to a decrease in stability. Therefore, studying the thermal-post buckling behavior of conical shells is of great significance. This article takes graphene platelets reinforced metal foams (GPLRMF) conical shells as the research object, and uses high-order shear deformation theory (HSDT) to study the thermal post-buckling behaviors. Based on general variational principle, the governing equation of a GPLRMF conical shell is deduced, and discretized and solved by Galerkin method to obtain the critical buckling temperature and thermal post-buckling response of conical shells under various influencing factors. Finally, the effects of cone angles, GPLs distribution types, GPLs mass fraction, porosity distribution types and porosity coefficient on the thermal post-buckling behaviors of conical shells are analyzed in detail. The results show that the cone angle has a significant impact on the nonlinear thermal stability of the conical shells.

Wind states and power curve modeling: A case study for La Rumorosa I Wind Farm

  • Jesus O. Inzunza Castro;Alexis Acuna Ramirez;Marlene Zamora Machado;Magali Arellano Vazquez;Noemi Lizarraga Osuna
    • Wind and Structures
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    • v.39 no.3
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    • pp.163-174
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    • 2024
  • This paper analyzes La Rumorosa I Wind Farm's wind states and their characteristics in the operation of two wind turbines over the course of one year of records. This information identifies the impact of wind states on wind power output. The study used the Gaussian Mixture Model to classify the occurrence and frequency of the dominant wind states in the generation of energy from the turbines. Results were obtained for mesoscale wind states and local scale wind states, such as cold fronts and Santa Ana winds, as well as daytime, nighttime and hot days, respectively, which were statistically analyzed to determine their relationship to power output by generating power and power coefficient curves. Between the cut-in speed and the rated speed of the wind turbines, cold fronts show higher efficiency, unlike nighttime wind states, which are the most efficient past the rated speed. In addition, cold fronts are also those that occur to the greatest extent, contributing 31.26% of the energy produced per year, compared with the Santa Ana winds, which occur to a lesser extent; however, they contribute 22.11% of the energy produced per year.

Multiscale modeling of smectite illitization in bentonite buffer of engineered barrier system

  • Xinwei Xiong;Jiahui You;Kyung Jae Lee;Jin-Seop Kim
    • Nuclear Engineering and Technology
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    • v.56 no.8
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    • pp.3242-3254
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    • 2024
  • With the increasing usage of nuclear energy, how to properly dispose nuclear waste becomes a critical issue. In this study, a multiscale modeling approach combining the experimental findings is presented to address the illitization process, its impact on transport properties, and system behavior of bentonite buffer in engineered barrier systems (EBS). Through the pore-scale modeling, reactive transport properties such as illite generation rate and effective diffusion coefficient of potassium ion as a function of porosity and temperature are quantified by employing the findings of hydrothermal reaction experiments of Bentonil-WRK. The capability of pore-scale modeling has been developed based on the Darcy-Brinkmann-Stokes equation, involving the processes of smectite illitization and clay swelling. Obtained reactive transport properties are utilized as input parameters for the macroscale modeling to predict the long-term behavior of bentonite buffer in EBS. As such, this study involves the whole workflow of quantifying the reaction parameters of smectite illitization through the hydrothermal reaction experiments, and numerically modeling the reactive transport process of smectite illitization in bentonite buffer of EBS from pore-scale to macroscale. The presented multiscale modeling findings are expected to provide reliable solution for safe nuclear waste disposal with EBS.

INFLUENCE OF SPARK PLASMA SINTERING TEMPERATURE ON MICROSTRUCTURE AND TTHERMOELECTRIC PROPERTIES OF Cu-DOPED Bi0.5Sb1.495Te3 COMPOUND

  • CHUL-HEE LEE;PEYALA DHARMAIAH;JUN-WOO SONG;KWANG-YONG JEONG;SOON-JIK HONG
    • Archives of Metallurgy and Materials
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    • v.65 no.3
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    • pp.1105-1110
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    • 2020
  • Due to air pollution, global warming and energy shortage demands new clean energy conversion technologies. The conversion of industrial waste heat into useful electricity using thermoelectric (TE) technology is a promising method in recent decades. Still, its applications are limited by the low efficiency of TE materials in the operating range between 400-600 K. In this work, we have fabricated Cu0.005Bi0.5Sb1.495Te3 powder using a single step gas atomization process followed by spark plasma sintering at different temperatures (623, 673, 723, and 773 K), and their thermoelectric properties were investigated. The variation of sintering temperature showed a significant impact on the grain size. The Seebeck coefficient values at room temperature increased significantly from 127 µVK to 151 µV/K with increasing sintering temperature from 623 K to 723 K due to decreased carrier concentration. The maximum Z T values for the four samples were similar in the range between 1.15 to 1.18 at 450 K, which suggest these materials could be used for power generation in the mid-temperature range (400-600 K).

Environmental Impact Assessment of Nuclear Power Plant Accident using Spatial Information Modeling: A Case Study of Chernobyl (공간정보 모델링을 이용한 원전 사고의 환경 영향 평가: 체르노빌 사례연구)

  • Lee, Sang-Won;Song, Ah-Ram;Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.28 no.1
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    • pp.129-143
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    • 2012
  • This paper demonstrates the effectiveness of advanced spatial modeling techniques for environmental monitoring and impact assessment through a case study of Chernobyl nuclear accident occurred in 1986. Land-cover types changed after the accident are analysed by a post classification comparison method using bi-temporal Landsat TM data acquired in 1986 and 1992 near the accident site. Spatial modeling including various kriging algorithms are also applied to analyze the relationships between Cesium concentrations in soil and thyroid cancer incidence rates in Belarus, which was greatly damaged by the accident. The change detection results clearly showed the decrease of croplands and the increase of abandoned lands, and concrete structures were newly built around the nuclear plant to prevent the spread of radioactive contamination. In Belarus, high Cesium concentrations were observed in southern areas with high thyroid cancer risk estimated by Poisson kriging. Geographically weighted regression, which could account for geographic variations of independent variables including Cesium concentrations and distances from the Chernobyl nuclear power plant, was applied to extract the relationships between the independent variables and the thyroid cancer risk. The estimated risk values showed a correlation coefficient value of 0.98 with respect to the thyroid cancer risk values, which implied that the thyroid cancer risk in Belarus was affected by the accident. In conclusion, it is expected that advanced spatial modeling techniques applied in this study would be useful for environmental impact assessment and public health research.

해상풍속측정용 마스트의 충격해석에 관한 연구

  • Lee, Gang-Su;Kim, Man-Eung;Son, Chung-Ryeol
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2009.04a
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    • pp.108-108
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    • 2009
  • The main object of this research is to minimize the shock effects which frequently result in fatal damage in wind met mast on impact of barge. The collision between wind met mast and barge is generally a complex problem and it is often not practical to perform rigorous finite element analyses to include all effects and sequences during the collision. LS-dyna generally purpose explicit finite element code, which is a product of ANSYS software, is used to model and analyze the non-linear response of the met mast due to barge collision. A significant part of the collision energy is dissipated as strain energy and except for global deformation modes, the contribution from elastic straining can normally be neglected. On applying impact force of a barge to wind met mast, the maximum acceleration, internal energy and plastic strain were calculated for each load cases using the finite element method and then compare it, varying to the velocity of barge, with one varying to the thickness of rubber fender conditions. Hence, we restrict the present research mainly to the wind met mast and also parametric study has been carried out with various velocities of barge, thickness of wind met mast, thickness and Mooney-Rivlin coefficient of rubber fender with experimental data. The equation of motion of the wind met mast is derived under the assumption that it was ignored vertical movement effect of barge on sea water. Such an analyzing method which was developed so far, make it possible to determine the proper size and material properties of rubber fender and the optimal moving conditions of barge, and finally, application method can be suggested in designing process of rubber fender considering barge impact.

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Impact Assessment of Forest Development on Net Primary Production using Satellite Image Spatial-temporal Fusion and CASA-Model (위성영상 시공간 융합과 CASA 모형을 활용한 산지 개발사업의 식생 순일차생산량에 대한 영향 평가)

  • Jin, Yi-Hua;Zhu, Jing-Rong;Sung, Sun-Yong;Lee, Dong-Ku
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.20 no.4
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    • pp.29-42
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    • 2017
  • As the "Guidelines for GHG Environmental Assessment" was revised, it pointed out that the developers should evaluate GHG sequestration and storage of the developing site. However, the current guidelines only taking into account the quantitative reduction lost within the development site, and did not consider the qualitative decrease in the carbon sequestration capacity of forest edge produced by developments. In order to assess the quantitative and qualitative effects of vegetation carbon uptake, the CASA-NPP model and satellite image spatial-temporal fusion were used to estimate the annual net primary production in 2005 and 2015. The development projects between 2006 and 2014 were examined for evaluate quantitative changes in development site and qualitative changes in surroundings by development types. The RMSE value of the satellite image fusion results is less than 0.1 and approaches 0, and the correlation coefficient is more than 0.6, which shows relatively high prediction accuracy. The NPP estimation results range from 0 to $1335.53g\;C/m^2$ year before development and from 0 to $1333.77g\;C/m^2$ year after development. As a result of analyzing NPP reduction amount within the development area by type of forest development, the difference is not significant by type of development but it shows the lowest change in the sports facilities development. It was also found that the vegetation was most affected by the edge vegetation of industrial development. This suggests that the industrial development causes additional development in the surrounding area and indirectly influences the carbon sequestration function of edge vegetaion due to the increase of the edge and influx of disturbed species. The NPP calculation method and results presented in this study can be applied to quantitative and qualitative impact assessment of before and after development, and it can be applied to policies related to greenhouse gas in environmental impact assessment.

Association between the self-reported periodontal health status and oral health-related quality of life among elderly Koreans (한국노인의 자가보고 치주건강상태와 구강건강관련 삶의 질의 연관성)

  • Jang, Moon-Sung;Kim, Hae-Young;Shim, Yeon-Su;Rhyu, In-Chul;Han, Soo-Boo;Chung, Chong-Pyoung;Ku, Young
    • Journal of Periodontal and Implant Science
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    • v.36 no.3
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    • pp.591-600
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    • 2006
  • Purpose: This study assessed the impact of self-reported periodontal health on the oral health-related quality of life among elderly Koreans. Methods: Four hundred twenty one elderly Koreans in Seoul and suburban areas were selected with a cluster (institution) sampling method, and were requested to take oral examinations and finish questionnaires on the Oral Health Impact Profile-14(OHIP-14). and self-reported periodontal health status, such as periodontal symptoms, self-rated periodontal health and periodontal treatment need. As the dependent variable, OHIP-14 showed a positive skewed distribution (skewness: 1.17), we transformed to square-root form to apply parametric analyses. Bivariate analysis by t-test and ANOVA, and multivariate analysis with the two-level regression model accounting clusters were implemented. Results: Mean age of the subjects was 74.6 years and 66.5% were women. Fourteen items of OHIP-14 were summarized to one factor explaining 78.6% of total variance and produced the Chronbach alpha coefficient of 0.92. Results from the multivariate model, adjusting for age, sex, type of institutions, ability to pay, and number of teeth present, showed significantly lower OHIP-14 with reporting less than 3 periodontal symptoms (p(O.OOO1), rating their own periodontal health as above average level (p=O.0144), and thinking they don't need any periodontal treatments in the near future (p=O.0148), than their counterparts. The intraclass-corrrelation estimated by the final model was 0.028. Conclusion: This study demonstrates a significant association between self-reported periodontal health status and the oral health-related quality of life.

Factors which Influence Quality of Life(QOL) among Asian Migrant Women in Australia a Cross-sectional Questionnaire Study (호주 이민 아시아 여성들의 삶의 질에 영향을 미치는 요소들 : 설문지를 이용한 단면연구)

  • Park, Kang-hyun;Kang, Eun-Jeong;Jeon, Byoung-Jin
    • The Journal of Korean society of community based occupational therapy
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    • v.8 no.1
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    • pp.11-21
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    • 2018
  • Objective : Migration can be a stressful process to people because they have to adjust a lot of things including habits, routine and cultural behavior. Also, Migrant can negatively impact on participation in daily meaningful occupations. Thus, the purpose of this research is to investigate whether participation in meaningful occupations after immigration and environmental factors impact the QOL in migrant women. Method : Migrant females who live in Australia were invited to participate in the study (n= 9). In this study, participation, environmental factors and QOL were measured using the questionnaire, which was developed by researchers. Purposive sampling was used to select the participants who were then asked to fill out a survey. Both quantitative data and qualitative data were collected. The SPSS program was used to process the quantitative data that was transcribed and coded. Result : Spearman's rank correlation coefficient shows that the total scale of QOL and the total scale of occupational engagement were significantly correlated at the 0.05 level. Conclusion : There was a significant relationship between quality of life and occupational engagements. Migrant women tend to have a lack of participation in meaning occupations thus, it seems to impact on their quality of life.

The Analysis on the Export and Import Performance in the Korea Content Industry of the Korea-USA FTA (한·미 FTA의 콘텐츠산업 수출입 효과 분석)

  • Jung, Sang-chul;Ko, Jeong-Min
    • Review of Culture and Economy
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    • v.21 no.2
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    • pp.29-51
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    • 2018
  • The Korea-USA FTA was activated in 2012 and evaluated highly on market-opening among FTA agreements which the Korea government has signed. This paper empirically examines the impact of the Korea-USA FTA on the Korea content industry trade performance with USA. Using ANOVA analysis, the study tested primarily whether there are difference in content exports and imports in a korea-US trade between before and after of Korea-USA FTA in 2012, the year of the entry into force of Korea-USA FTA. Using content industry exports and import data over the period 2007-2015, we find that Korea content export to US after 2012 is significantly different from one before 2012, and there is no difference in import. Based on a regression analysis, we also tested the impact size of Korea content export performance in Korea-USA FTA. The result is that coefficient of FTA dummy variable is not significant, meaning that even though there are some difference in korea content export to US between before and after of Korea-USA FTA, the Korea-USA FTA agreement itself is not a key factor which increase the Korea content export volume to USA market.