• Journal of the Korean Geotechnical Society
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• v.23 no.4
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• pp.185-197
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• 2007

Limit analysis of upper and lower bound solutions has been well developed to provide the stability numbers for shallow tunnels in cohesive soil ($c_u$ material), cohesive-frictional soil (c'-$\phi$' material) and cohesionless soil ($\phi$'material). However, an extension of these methods to relatively deep circular tunnels in the cohesionless soil has been explored rarely to date. For this reason, the closed-form analytical solutions including lower bound solution based on the stress discontinuity concept and upper bound solution based on the kinematically admissible failure mechanism were proposed for assessing tunnel collapse load in this study. Consequently, the tunnel collapse load from those solutions was compared with both the finite element analysis and the previous analytical bound solutions and shown to be in good agreement with the FE results, in particular with the FE soil elements located on the horizontal tunnel axis.

• Composites Research
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• v.36 no.5
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• pp.329-334
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• 2023

The classical multiscale finite element (FE² ) method involves iterative calculations of micro-boundary value problems for representative volume elements at every integration point in macro scale, making it a computationally time and data storage space. To overcome this, we developed the data-driven multiscale analysis method based on the mean-field homogenization (MFH). Data-driven computational mechanics (DDCM) analysis is a model-free approach that directly utilizes strain-stress datasets. For performing multiscale analysis, we efficiently construct a strain-stress database for the microstructure of composite materials using mean-field homogenization and conduct data-driven computational mechanics simulations based on this database. In this paper, we apply the developed multiscale analysis framework to an example, confirming the results of data-driven computational mechanics simulations considering the microstructure of a hyperelastic composite material. Therefore, the application of data-driven computational mechanics approach in multiscale analysis can be applied to various materials and structures, opening up new possibilities for multiscale analysis research and applications.

• Information Systems Review
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• v.17 no.3
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• pp.135-157
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• 2015

Mobile giving platform is a new type of giving platform which offers donation service through mobile application. Mobile giving platform has developed differently from offline giving platform in the way that induces continuous donation. The purpose of this study is to investigate why mobile giving platform has adopted different strategy, and how it leads to continuous contribution. We conducted a case study with two successful mobile giving platforms; Bigwalk and Tree Planet. The analysis of the strategy is based on the construal level theory which explains the relationship between psychological distance and construal level. The result shows that the users' psychological distance toward giving platform has decreased with the environmental change, offline to mobile. Consequently the mobile giving platform offers services which form low level of construal for encouraging continuous participation. This finding suggests the importance of offering suitable construal level in services, and design guideline for mobile giving platforms.

• Management & Information Systems Review
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• v.38 no.3
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• pp.211-225
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• 2019

In recent years, consumers emphasize the various sensory experiences in the process of shopping rather than the practical value of shopping results. In order to satisfy consumers' diverse needs, retailers transform their offline stores into experiential spaces to encourage consumers to experience diverse and enjoyable experiences. This study divided the sub-factors of customer experience into hedonic experiences, functional experiences, and social interaction experiences, and investigated the effect of sub - factors of customer experience on consumers' enjoyment and intention to stay in off-line store. In addition, it is assumed that there will be a difference in the influence of three levels of customer experience on enjoyment according to the consumer's self-construal levels. As a result of this study, all of the hypotheses were supported except hypothesis 1 that the customer's hedonic experience has a positive effect on pleasure. In addition, as a result of verifying the moderating effect of self-construal levels, the self-construal level of consumers has no significant effect on the path of hedonic experiences on pleasure, but significant moderating effects of self-construal levels were identified in the pathways of functional and social interactive experiences on pleasure. The results of this study will be helpful in identifying and utilizing differentiated experience marketing strategies in the off-line stores that only offline channels can have in the fierce competition due to the diversification of distribution channels.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.433-433
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• 2022

수자원 관리를 위한 설계수문량의 산정은 수문자료의 통계적 특성을 고려한 빈도해석을 통해 이루어지며, 대상 관측지점에 대해 개별적으로 수행되는 지점빈도해석과 수문학적으로 동질하다고 판단되는 지점들의 자료를 동시에 고려하는 지역빈도해석으로 분류된다. 기후변화에 의한 미래 수문량의 변동성을 고려하기 위해 비정상성 빈도해석이 요구되나 짧은 기록을 갖는 수문자료로부터 정확한 변화 추세를 평가하기 어렵다. 이에 따라 지역빈도해석을 통해 자료를 확충함으로써 자료에 대한 신뢰성을 확보하고 지역 전체에 대해 대표성을 갖는 확률수문량을 산정하는 것이 합리적이다. 본 연구에서는 극치강수량의 지역빈도해석에서 비정상성을 고려하기 위해 단순선형회귀 모형을 통해 시간항에 대한 강수량의 경향성을 탐지하였다. 계층적 Bayesian 모형을 통해 Partial Pooling 기법을 적용함으로써 기존 L-모멘트 방법(complete pooling)에서 고려하지 못하는 개별지역의 강수 특성을 고려하였으며 불확실성을 정량화하였다. 한강 유역 18개 지점의 극치강수량에 대해 비정상성 평가 결과 대부분 지점에서 양의 기울기를 확인하였으며 미래 빈도별 확률강수량의 증가율을 제시한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.415-420
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• 2009

공학 분야에 있어서 수치 해석적 연구가 많은 주목을 받고 있다. 경제적 측면을 비롯한 다양한 측면에 있어서 모의의 간편성으로 인해 하천에서의 수리학적 거동모의에 수치해석 모의 분석법이 쓰이고 있는데 모의결과의 비교 및 검증을 위해서는 현장 실험 혹은 모형실험이 선행되어야만 한다. 본 연구에서는 강재로 제작된 S자 형태의 만곡부를 두 개 갖고 있는 사행수로 실험 장치를 제작하여 두 가지 유량조건 (30, 60 ${\ell}$/sec.)과 두 가지 하류단 수위조건 (30, 40 cm)에 대하여 수평 2차원 유속분포 자료를 이용하였다. 유속장의 자료는 Sontek사에의 3차원 micro-ADV(Acoustic Doppler Velocimeter)를 이용하여 측정하였다. 주 흐름은 직선구간에서는 중앙에서 최대 유속을 나타내며, 좌우대칭적인 유속분포의 모습을 보이고, 만곡부에서는 수로안쪽을 따라 최대유속이 발생하였다. 이는 만곡부의 정점부분에서의 이차류 발생 및 소멸에 의한 연직방향 유속분포를 통해 발생되는 현상이라 사료된다. 또한 본 연구에서는 2차원 하천해석 상용프로그램인 RAMS (베타버젼)와 SMS를 이용하여 흐름해석을 수행하였다. 실험 자료와의 비교를 통하여 두 가지 상용프로그램의 경우 모두 다소 과대 산정되는 것을 알 수 있었고, 만곡부와 직선부의 유속분포에 대한 모의결과는 RAMS (RAM2)의 결과가 보다 실험결과와 잘 일치하는 것으로 분석되었다. 위와 같은 유속분포의 분석을 통하여 각각의 상용소프트웨어의 적용성을 비교해 보았으며 향후 오염물질 거동해석 모형을 실험수로에 적용하여 그 결과를 비교할 수 있을 것으로 예상한다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.35 no.7
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• pp.723-733
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• 2011

A numerical method of the CSF(Continuum Surface Force) model is presented for the calculation of the surface tension force and implemented in an in-house solution code(PowerCFD). The present method(code) employs an unstructured cell-centered method based on a conservative pressure-based finite-volume method with volume capturing method(CICSAM) in a volume of fluid(VOF) scheme for phase interface capturing. The application of the present method to a 2-D liquid drop problem is illustrated by an equilibrium and nonequilibrium oscillating drop calculation. It is found that the present method simulates efficiently and accurately surface tension-dominant multiphase flows.

• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.3
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• pp.117-127
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• 2012

As increasing number of large-size earthquake around Korean peninsula, many interests have been focused to the earthquake strengthening of existing structures. Fiber reinforced plastic composite material is one of strengthening material widely used to increase seismic performance of structures. It should have high stiffness as well as large ductility to provide best strengthening result. Thus selection of stiffener and fiber in composite is of important. In this study, the optimal combination of fiber and stiffener is selected with variety of tensile tests. In order to investigate performance of chosen composite material, several finite element analyses are performed with proposed FRP composite material for existing RC columns. It is discussed that the seismic performance of strengthened columns through the load-displacement relationship. It is shown that the proposed composite material can increase the strength as well as ductility of exiting RC columns.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.41 no.4
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• pp.285-291
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• 2017

In this study, a case analysis for thermal design of electronic equipment using a phase change material(PCM) was performed numerically using ANSYS Fluent. Experiments were conducted to find the temperature increase(${\Delta}T_m$), melting temperature($T_m$), and volume expansion of the PCM under the melting process. To verify the accuracy of the Fluent solver model, $T_m$, ${\Delta}T_m$, and the melting time were compared with experimental results. To simulate the temperature stagnation phenomenon under the melting process, the equivalent specific heat method was applied to calculate the thermal properties of the PCM in the solver model. To determine the thermal stability of electronic equipment, we paid special attention to finding a thermal design for the PCM using fins. Further, an additional numerical analysis is currently underway to find an optimum design.

• Journal of the Korean Geotechnical Society
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• v.24 no.8
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• pp.111-123
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• 2008

Geotechnical engineering problems are characterized by many sources of uncertainty. Some of these sources are connected to the uncertainties of soil properties involved in the analysis. In this paper, a numerical procedure for a probabilistic analysis that considers the spatial variability of soil properties is presented to study the response of spatially random soil. The approach integrates a commercial finite difference method and random field theory into the framework of a probabilistic analysis. Two-dimensional non-Gaussian random fields are generated based on a Karhunen-$Lo{\grave{e}}ve$ expansion in a fashion consistent with a specified marginal distribution function and an autocorrelation function. A Monte Carlo simulation is then used to determine the statistical response based on the random fields. A series of analyses were performed to study the effects of uncertainty due to the spatial heterogeneity on the settlement and bearing capacity of a rough strip footing. The simulations provide insight into the application of uncertainty treatment to the geotechnical problem and show the importance of the spatial variability of soil properties with regard to the outcome of a probabilistic assessment.