• Title/Summary/Keyword: data modelling

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Development of data supplementation algorithm of sewerage system for urban inundation modelling (도시홍수 모의를 위한 하수관망 자료 보정 알고리즘 개발)

  • Lee, Seung Soo;An, Hyun UK
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.63-63
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    • 2019
  • 최근 기후변화로 인한 도시지역 침수 피해를 저감하기 위한 다양한 연구가 수행되고 있으며 침수해석을 위한 기초자료로써 GIS 기반 하수관망 자료 활용의 중요성이 증대되고 있다. 그러나 이러한 하수관망 자료의 대부분은 지자체 수준의 행정단위에 의해 작성/관리 되고 있으며 하수관 망의 유지보수에 중점을 두어 제작되었기 때문에 침수해석을 위한 속성자료가 누락되어 있는 경우가 상당수 존재한다. 따라서 고유의 제작 목적과 침수해석이라는 활용 목적이 일치 하지 않아 속성 데이터 값이 존재하지 않거나 침수 모델링에 필요한 필수 정보가 누락되어 개별 연구자들이 별도의 보완작업을 수행한 후 침수해석에 활용하고 있는 실정이다. 이러한 개인연구자들의 주관적 판단에 의한 하수관망의 단순화 또는 보완작업은 상황에 따라 자료의 불확실성을 증대시키며 연구자의 숙련도와 배경지식에 따라 침수 해석 결과에 많은 영향을 미치고 있다. 따라서 GIS기반 하수관망 자료를 침수 모의에 활용 가능한 입력 자료로 변환 하는 경우 개별 연구자들의 주관적 개입이 최대한 배제된 형태의 자료를 만들기 위한 기본 알고리즘 개발이 시급한 상태이다. 본 연구에서는 서울시 사당역 인근 유역과 부산시 온천천 유역의 GIS 기반 하수관망 자료의 형식에 대해서 알아보고 누락 자료를 보완하기 위한 알고리즘을 개발하였다. 개발된 알고리즘을 활용하여 누락자료가 보완된 하수관망 자료는 향후 개별 연구자들의 주관적 판단을 배제하여 도시침수 해석 시 하수관망 자료의 불확실성을 최소화 하는데 기여할 수 있을 것으로 판단된다.

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Numerical modelling of shelter effect of porous wind fences

  • Janardhan, Prashanth;Narayana, Harish
    • Wind and Structures
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    • v.29 no.5
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    • pp.313-321
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    • 2019
  • The wind blowing at high velocity in an open storage yard leads to wind erosion and loss of material. Fence structures can be constructed around the periphery of the storage yard to reduce the erosion. The fence will cause turbulence and recirculation behind it which can be utilized to reduce the wind erosion and loss of material. A properly designed fence system will produce lesser turbulence and longer shelter effect. This paper aims to show the applicability of Support Vector Machine (SVM) to predict the recirculation length. A SVM model was built, trained and tested using the experimental data gathered from the literature. The newly developed model is compared with numerical turbulence model, in particular, modified $k-{\varepsilon}$ model along with the experimental results. From the results, it was observed that the SVM model has a better capability in predicting the recirculation length. The SVM model was able to predict the recirculation length at a lesser time as compared to modified $k-{\varepsilon}$ model. All the results are analyzed in terms of statistical measures, such as root mean square error, correlation coefficient, and scatter index. These examinations demonstrate that SVM has a strong potential as a feasible tool for predicting recirculation length.

Comparison of Algorithm & Turbulence Modelling for Calculation of Compressor Cascade Flows (압축기 익렬 유동해석을 위한 알고리즘과 난류 모델의 비교 연구)

  • 김석훈;이기수;최정열;김귀순;임진식;김유일
    • Journal of the Korean Society of Propulsion Engineers
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    • v.4 no.4
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    • pp.59-69
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    • 2000
  • A numerical analysis based on two-dimensional, incompressible and compressible Navier-Stokes equations was carried out for double circular arc compressor cascade and the results are compared with available experimental data. The incompressible code based on SIMPLE algorithm adopts pressure weighted method and hybrid scheme for the convective terms. The compressible code with preconditioning method involves a upwind-biased scheme for the convective terms and LU-SGS scheme for temporal integration. Several turbulence models are evaluated by computing the turbulent viscous flows; Baldwin-Lomax, standard $\kappa$ -$\varepsilon$, $\kappa$ -$\varepsilon$ Lam. Bremhorst, standard $\kappa$-$\omega$, $\kappa$ -$\omega$ SST model.

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Axial buckling response of fiber metal laminate circular cylindrical shells

  • Bidgoli, Ali M. Moniri;Heidari-Rarani, Mohammad
    • Structural Engineering and Mechanics
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    • v.57 no.1
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    • pp.45-63
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    • 2016
  • Fiber metal laminates (FMLs) represent a high-performance family of hybrid materials which consist of thin metal sheets bonded together with alternating unidirectional fiber layers. In this study, the buckling behavior of a FML circular cylindrical shell under axial compression is investigated via both analytical and finite element approaches. The governing equations are derived based on the first-order shear deformation theory and solved by the Navier solution method. Also, the buckling load of a FML cylindrical shell is calculated using linear eigenvalue analysis in commercial finite element software, ABAQUS. Due to lack of experimental and analytical data for buckling behavior of FML cylindrical shells in the literature, the proposed model is simplified to the full-composite and full-metal cylindrical shells and buckling loads are compared with the available results. Afterwards, the effects of FML parameters such as metal volume fraction (MVF), composite fiber orientation, stacking sequence of layers and geometric parameters are studied on the buckling loads. Results show that the FML layup has the significant effect on the buckling loads of FML cylindrical shells in comparison to the full-composite and full-metal shells. Results of this paper hopefully provide a useful guideline for engineers to design an efficient and economical structure.

Application of the full factorial design to modelling of Al2O3/SiC particle reinforced al-matrix composites

  • Altinkok, Necat
    • Steel and Composite Structures
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    • v.21 no.6
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    • pp.1327-1345
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    • 2016
  • $Al_2O_3$/SiC particulate reinforced (Metal Matrix Composites) MMCs which were produced by using stir casting process, bending strength and hardening behaviour were obtained using an analysis of variance (ANOVA) technique that uses full factorial design. Factor variables and their ranges were: particle size $2-60{\mu}m$; the stirring speed 450 rpm, 500 rpm and the stirring temperature $620^{\circ}C$, $650^{\circ}C$. An empirical equation was derived from test results to describe the relationship between the test parameters. This model for the tensile strength of the hybrid composite materials with $R^2$ adj = 80% for the bending strength $R^2$ adj = 89% were generated from the data. The regression coefficients of this model quantify the tensile strength and bending strengths of the effects of each of the factors. The interactions of all three factors do not present significant percentage contributions on the tensile strength and bending strengths of hybrid composite materials. Analysis of the residuals versus was predicted the tensile strength and bending strengths show a normalized distribution and thereby confirms the suitability of this model. Particle size was found to have the strongest influence on the tensile strength and bending strength.

Development and validation of a numerical model for steel roof cladding subject to static uplift loads

  • Lovisa, Amy C.;Wang, Vincent Z.;Henderson, David J.;Ginger, John D.
    • Wind and Structures
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    • v.17 no.5
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    • pp.495-513
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    • 2013
  • Thin, high-strength steel roof cladding is widely used in residential and industrial low-rise buildings and is susceptible to failure during severe wind storms such as cyclones. Current cladding design is heavily reliant on experimental testing for the determination of roof cladding performance. Further study is necessary to evolve current design standards, and numerical modelling of roof cladding can provide an efficient and cost effective means of studying the response of cladding in great detail. This paper details the development of a numerical model that can simulate the static response of corrugated roof cladding. Finite element analysis (FEA) was utilised to determine the response of corrugated cladding subject to a static wind pressure, which included the anisotropic material properties and strain-hardening characteristics of the thin steel roof cladding. The model was then validated by comparing the numerical data with corresponding experimental test results. Based on this comparison, the model was found to successfully predict the fastener reaction, deflection and the characteristics in deformed shape of the cladding. The validated numerical model was then used to predict the response of the cladding subject to a design cyclone pressure trace, excluding fatigue effects, to demonstrate the potential of the model to investigate more complicated loading circumstances.

Wake Losses and Repositioning of Wind Turbines at Wind Farm (풍력발전단지의 후류손실 및 터빈 재배치에 관한 연구)

  • Park, Kun-Sung;Ryu, Ki-Wahn;Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.35 no.3
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    • pp.17-25
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    • 2015
  • The main objective of this study is to predict the wind power generation at the wind farm using various wake models. Modeling of wind farm is a prerequisite for prediction of annual energy production at the wind farm. In this study, we modeled 20 MW class Seongsan wind farm which has 10 wind turbines located at the eastern part of Jeju Island. WindSim based on the computational fluid dynamics was adopted for the estimation of power generation. The power curve and thrust coefficient with meteorology file were prepared for wind farm modelling. The meteorology file was produced based on the measured data of the Korea Wind Atlas provided by Korea Institute of Energy Research. Three types of wake models such as Jensen, Larsen, and Ishihara et al. wake models were applied to investigate the wake effects. From the result, Jensen and Ishihara wake models show nearly the same value of power generation whereas the Larsen wake model shows the largest value. New positions of wind turbines are proposed to reduce the wake loss, and to increase the annual energy production of the wind farm.

Impact of Social Networks Safety on Marketing Information Quality in the COVID-19 Pandemic in Saudi Arabia

  • ALNSOUR, Iyad A.;SOMILI, Hassan M.;ALLAHHAM, Mahmoud I.
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.223-231
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    • 2021
  • The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

Which Node of Supply Chain Suffers Mostly to Disruption in the Pandemic?

  • NGUYEN, Tram Thi Bich
    • Journal of Distribution Science
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    • v.19 no.11
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    • pp.59-68
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    • 2021
  • Purpose: The Covid-19 pandemic has had excessively severe impacts on all the nodes and edges of any supply chain due to changes in consumer behaviours and lockdown restrictions from governments among countries. This article aims to provide a simulating experiment on how a supply chain deals with supply disruption risks by flexibility in the inventory level of each sector as a buffer considering the overall cost to fulfil demand in the market. Research design, data and methodology: Agent-based simulation techniques are used to determine the cost-efficiency and customer waiting time related to varying inventory levels of each member in the supply chain when using inventory buffers. Findings: This study has shown that any sudden changes in the inventory level of each sector are likely to impact the rest of the supply chain. Among all sectors, the wholesaler will be impacted more severely than others. Also, the manufacturing sector is the most suitable node to adjust inventory depending on its manufacturing ability. Conclusion: The findings of the study provide insightful implications for decision-makers to adjust inventory levels and policymakers to maintain manufacturing activities in the context of the pandemic restrictions to deal with the excessive demand and potential supply disruption risks.

The Role of ICT and Local Wisdom in Managing Work-Life Balance During the COVID-19 Pandemic: An Empirical Study in Malaysia

  • KUSAIRI, Suhal;MUHAMAD, Suriyani;RAZAK, Norizan Abdul;TRAPSILA, Aji Purba
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.9
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    • pp.321-331
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    • 2021
  • This study examines the impact of Information and Communication Technology (ICT) and the role of Malaysian local wisdom called "Ugahari" in managing Work-Life Balance (WLB) during the COVID-19 pandemic in Malaysia. Data was obtained through online and offline surveys which were distributed to the agencies in the public and private sectors spread across Kuala Lumpur, Selangor and Pura Jaya. Overall 466 respondents were found to have given valid and complete responses. This research utilized the Partial Least Squares Structural Equation Modelling. It was found that the use of the ICT during Work from Home (WFH) helped workers to have relatively high flexibility where they could easily expand or contract one domain to meet the demands of another domain. At the same time it also offered high permeability where aspects of one domain entered another domain. This encourages workers to integrate their roles and achieve broad work autonomy. Furthermore, this situation then gives rise to a high level of interference at the boundary between work and family domains. On the other hand Ugahari reduces the level of interference caused by ICT use and encourages workers to compartmentalize their respective roles. Thus, ICT and Ugahari's behavior can play a role and complement each other in the context of realizing worker well-being.