• Ceramist
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• v.18 no.1
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• pp.110-116
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• 2015

• 한국전기화학회:학술대회논문집
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• 2003.10a
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• pp.61-61
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• 2003

• Journal of the Korean Society for Nondestructive Testing
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• v.29 no.4
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• pp.351-359
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• 2009

We have developed a computer simulator fur cone-beam computed tomography (CBCT) based on the commercial Monte Carlo code, MCNP. All the functions to generate input files, run MCNP, convert output files to image data, reconstruct tomographs were realized in graphical user-interface form. The performance of the simulator was demonstrated by comparing with the experimental data. Although some discrepancies were observed due to the ignorance of the detailed physics in the simulation, such as scattered X-rays and noise in image sensors, the overall tendency was well agreed between the measured and simulated data. The developed simulator will be very useful for understanding the operation and the better design of CT systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.200-203
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• 2012

슈퍼 컴퓨터 시스템의 가용 계산 자원이 증가하면서 시뮬레이션 대상의 길이와 시뮬레이션 시간의 스케일을 확장할 수 있는 멀티스케일 모델링에 대한 관심이 높아지고 있다. 본 논문에서는 분자동역학과 전산 유체 역학을 결합하는 멀티스케일 모델링을 대상으로 두 분야의 대표적인 시뮬레이션 소프트웨어를 하나로 조합한 프로토타입의 개발 과정과 고려 사항을 소개한다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2010.05a
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• pp.460-466
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• 2010

단일 알루미늄의 연소 모델을 사용하여 알루미늄 분말의 점화 과정에 대한 전산유체 해석 기법을 개발하였다. 유동의 계산은 Reynolds averaged Navier-Stokes식을 사용하였으며, $k-{\epsilon}$ 난류모델을 적용하였다. 입자는 Eulerian-Lagrangian 방법을 사용하여 유동과 독립적으로 계산을 수행하였으며 상용 전산유체해석 프로그램인 Fluent 6.3을 사용하여 해석을 수행하였다. 단일 모델에서 사용한 대류 및 복사 열전달, 표면이상반응, 알루미늄의 용융열을 입자 가열원으로 고려하였다. 같은 조건을 사용하여 단일 입자 모델 계산과 전산유체해석을 수행하였으며, 두 결과는 5% 이내로 잘 일치 하였다. 이를 통해 전산유체해석에서 알루미늄의 점화를 모사할 수 있음을 확인하였다.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.593-606
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• 2016

Computer simulation is widely used in a variety of computational science and engineering fields, including computational fluid dynamics, nano physics, computational chemistry, structural dynamics, and computer-aided optimal design, to simulate the behavior of a system. As the demand for the accuracy and complexity of the simulation grows, however, the cost of executing the simulation is rapidly increasing. It, therefore, is very important to lower the total execution time of the simulation especially when that simulation makes a huge number of repetitions with varying values of input parameters. In this paper we develop a simulation service system that provides the ability to predict the result of the requested simulation without actual execution for that simulation: by recording and then returning previously obtained or predicted results of that simulation. To achieve the goal of avoiding repetitive simulation, the system provides two main functionalities: (1) storing simulation-result records into database and (2) predicting from the database the result of a requested simulation using statistical machine learning techniques. In our experiments we evaluate the prediction performance of the system using real airfoil simulation result data. Our system on average showed a very low error rate at a minimum of 0.9% for a certain output variable. Using the system any user can receive the predicted outcome of her simulation promptly without actually running it, which would otherwise impose a heavy burden on computing and storage resources.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.643-645
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• 2004

발전계통 시뮬레이션은 CFO(전산유체역학)을 이용한 시뮬레이션으로서 다차원 미시적인 현상에 대한 시뮬레이션을 뜻한다. 주요 특징으로써 다수의 컴포넌트로 구성된 계통의 다양성으로 보일러, 급수계통, 증기계통, 복수계통 등 다양한 계통들이 존재하고 있다. 따라서 다양한 컴포넌트 모듈을 저장할 수 있는 GUI(Graphic User Interface) 기반의 시뮬레이션 툴이 필요하게 되었다. 현재 발전계통 시뮬레이션 툴의 문제점은 외국의 상용화 툴에 전적으로 의존하고 있으며 이는 곧 시뮬레이터 유지 보수의 어려움을 초래하게 되었다. 본 논문에서는 발전계통 시뮬레이션을 위한 컴포넌트 모듈의 생성, 모듈과 그래픽 라이브러리간의 연결, 유량-압력 알고리즘을 이용한 계통 Solver를 설계하고 멀티스레드를 이용한 복수개의 계통 시뮬레이터 구현 방법을 소개한다.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.25-33
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• 2020

In this study, flow and structural computational analysis were performed to investigate the structural safety of the lightweight butterfly valve disc designed by topology optimization. After flow analysis, as the opening angle increased, the flow coefficient increased non-linearly and showed a gentle slop. When the opening angle was 12 degree, the cavitation could be predicted. After FE analysis, all FE von-Misses stresses of the lightweight disc were smaller than the yield strength of the material, and all FE maximum deformations were also smaller than the conservative deformation of the previous study. Ultimately, it was confirmed that the structural safety of the lightweight valve disc based on computational analysis is effective.

• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.109-116
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• 2018

In order to destroy the hard target, it is essential to develop a penetration warhead with high penetration performance. To design a penetration warhead, this paper discusses the effect of nose shape factors such that nose shape, nose length, nose tip diameter, on the penetration performance of the penetrator. AUTODYN-2D has been used to conduct the computational analysis. The experimental result of Forrestal, and a simulation result have been compared to verify the reliability of computational analysis. Computational results show that the nose length have more influence on the penetration performance than the nose shape. Furthermore, simulation results show that the penetration performance can be improved by increasing the nose tip diameter to a specific value, when the nose length of the penetrator is uniform.

• 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.