• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.1370-1375
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• 2001

Substructure coupling or component mode synthesis may be employed in the solution of dynamic problems for structure. The model is partitioned into several subdomains. and a generalized Craig-Bampton representation is derived. In this paper the mode sets(normal modes. constraint modes) have been employed for model reduction. A generalized model reduction procedure has been described. Those reduction methods which adapt constraint modes have been described in detail. As examples. a flexible structure and a 10 DOF damped system are analyzed. Comparison with a conventional reduction method based on a complete model has been made via eigenpairs and dynamic responses.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.04a
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• pp.225-227
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• 2011

The geometrically sub-scaled wall-injection test model was employed to visualize interactions of internal flow of a solid rocket motor equipped fin/slot grain and submerged nozzle. Symmetric vortex and circumferential flow patterns were visualized.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.479-482
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• 2009

급변하는 경영 환경에서 기업의 목표나 정책목적을 실현하기 위해 많은 기업들이 비즈니스 프로세스의 중요성을 인식하게 되면서 비즈니스 프로세스 관리에 대한 관심이 높아졌다. 이러한 비즈니스 프로세스를 관리하기 위해 일반적으로 모델링 작업을 수행하게 되는데 모델링 작업 시 예기치 못한 여러 가지 이상 현상을 포함 될 수 있다. 본 논문에서는 본 연구자가 발표한 선행 논문을 바탕으로 기존의 이상 현상 검출 기법 중 그래프 축소 기법을 확장하여 모델링 단계에서 정의된 비즈니스 프로세스 모델의 구조적 이상 현상을 검출하고 명제 논리학을 이용하여 이의 타당성을 증명하였다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2010.11a
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• pp.594-596
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• 2010

Hot-firing tests were performed on a sub-scale gas generator for development of a 75 ton-class liquid rocket engine. This paper deals with the analysis results of low-frequency combustion instability that encountered during combustion tests of the gas generator.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 1999.11a
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• pp.67-73
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• 1999

• Proceedings of the Korean Nuclear Society Conference
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• 2002.05a
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• pp.291.1-291
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• 2002

• Proceedings of the Korean Nuclear Society Conference
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• 2002.10a
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• pp.424.2-424
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• 2002

• Computational Structural Engineering
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• v.25 no.4
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• pp.7-13
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• 2012

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2016.05a
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• pp.191-192
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• 2016

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.1
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• pp.65-73
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• 2007

In the inverse perturbation method, enormous computational resource was required to obtain reliable results, because all unspecified DOFs were considered as unknown variables. Thus, in the present study, a reduced system method is used to condense the unspecified DOFs by using the specified DOFs, and to improve the computational efficiency as well as the solution accuracy. In most of the conventional reduction methods, transformation errors occur in the transformation matrix between the unspecified DOFs and the specified DOFs. Thus it is hard to obtain reliable and accurate solution of inverse perturbation problems by reduction methods due to the error in the transformation matrix. This numerical trouble is resolved in the present study by adopting iterative improved reduced system(IIRS) as well as by updating the transformation matrix at every step. In this reduction method, system accuracy is related to the selection of the primary DOFs and Iteration time. And both are dependent to each other So, the two level condensation method (TLCS) is selected as Selection method of primary DOFs for increasing accuracy and reducing iteration time. Finally, numerical verification results of the present iterative inverse perturbation method (IIPM) are presented.