• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1483-1486
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• 2004

Purpose of this paper is to accummulate database of automotive steel sheet from mild steel to high strength steel in cold rolled steel sheets. Physical properties, mainly mechanical properties, of steel sheet are tested and all data are arranged to one sheet. Methods of test are composed of FLD, tensile strength test, chemical composition, surface roughness and product conditions. Finally this database will be helpful to automotive body designers and die designers to design automotive body parts and tools in a material point of view.

• 터널과지하공간
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• 제18권5호
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• pp.317-327
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• 2008

산악지형이 많은 국내 여건으로 인해 많은 암반구조물이 건설되고 있으며, 이와 관련하여 암석물성시험을 포함한 수많은 지반조사가 수행되었다. 본 연구는 국내 암석의 역학적 특성자료의 데이터베이스화를 위한 기본 연구로서, 국기공인시험기관에서 수행되었던 시험자료 약 2000 개에 대해 역학적 상관성에 대해 분석하였다. 효용성있는 데이터베이스를 구축하기 위해서는 신뢰성있는 자료의 축적 뿐 아니라 규격화된 정보를 토대로 체계적인 관리가 필요할 것이다.

• Geomechanics and Engineering
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• 제14권5호
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• pp.491-498
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• 2018

The Earth Mechanics Institute (EMI) was established at the Colorado School of Mines (CSM) in 1974 to develop innovations in rock mechanics research and education. During the last four decades, extensive rock mechanics research has been conducted at the EMI. Results from uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), point load index (PLI), punch penetration (PP), and many other types of tests have been recorded in a database that has been unexamined for research purposes. The EMI database includes over 20,000 tests from over 1,000 different projects including mining and underground construction, and analysis of this database to identify relationships has been started with preliminary results reported here. Overall, statistically significant correlations are identified between bulk density and mechanical strength properties through UCS, BTS, PLI, and PP testing of sedimentary, igneous, and metamorphic rocks. In this paper, bulk density is considered as a surrogate metric that reflects both mineralogy and porosity. From this analysis, sedimentary rocks show the strongest correlation between the UCS and bulk density, whereas metamorphic rocks exhibit the strongest correlation between UCS and PP. Data trends in the EMI database also reveal a linear relationship between UCS and BTS tests. For the singular case of rock coral, the database permits correlations between bulk density of the core versus the deposition depth and porosity. The EMI database will continue under analysis, and will provide additional insightful and comprehensive understanding of the variation and predictability of rock mechanical strength properties and density. This knowledge will contribute significantly toward the increasingly safe and cost-effective geostructures and construction.

• 한국CDE학회논문집
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• 제6권2호
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• pp.140-146
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• 2001

A nuclear Power Plant is composed of a number of mechanical components. Maintaining the integrity of these components is one of the most critical issues in nuclear industry. In order to evaluate the integrity of these mechanical components, a lot of data are required including inspection data, geometrical data, material properties, etc. Therefore, an effective database system is essential to manage the integrity of nuclear power plant. For this purpose, an internet based virtual reality environment and web database system was proposed. The developed virtual reality environment provides realistic geometrical configurations of mechanical components using VRML (Virtual Reality Modeling Language). The virtual reality environment was linked with the web database, which can manage the required data for the integrity evaluation. The proposed system is able to share the information regarding the integrity evaluation through internet, and thus, will be suitable for an integrated system for the maintenance of mechanical components.

• 한국전자거래학회지
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• 제1권2호
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• pp.93-116
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• 1996

Nowadays, there are many efforts to integrate CAD/CAM and other systems. The key of integration is engineering database implementation through the product data definition. In this paper, we suggest the product data definition and their properties for electronic consumer product throughout the requirement analysis for engineering database. Electronic consumer products include electric/electronic parts. as well as mechanical part which mainly compose of machinery. The paper is composed of three parts: the first is analysis about engineering data base. the second is understanding of product data structure and properties. and the last is modeling of product data including static and dynamic characteristics.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.724-727
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• 2005

Material selection is one of the important activities in design and manufacturing. A selected material at the conceptual design stage affects material properties of the designed part as well as manufacturability and cost of the final product. Unfortunately there are not many accessible material databases that can be used for design. In this research, a web-based material database was constructed. In order to assist designers to compare different materials, two-dimensional and three-dimensional graphs were provided. Using these graphical tools, multi-dimensional comparison was available in more intuitive manner. To provide environmental safety of materials, the database included National Fire Protection Association publication Standard No.704. The web-based tool is available at http://fab.snu.ac.kr/matdb.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2003년도 추계학술대회논문집
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• pp.60-63
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• 2003

Semi-solid forming is the process of stirring alloy during solidification, making the mixture of liquid and solid, solidifying it, reheating it to the solid-liquid coexistent temperature, and then injecting this semi solid slurry into dies. In the semi-solid die casting process, it is very important to find out the correlation of injection condition, microstructure and mechanical properties. Especially, an improper injection condition is the main cause of liquid segregation and non-homogeneous mechanical properties due to the difference of solid fraction according to the position of the products. To ensure the database requisite to the semi-solid die casting product, it is essential to acquire the mechanical properties considering liquid segregation to the injection condition. In this study, the effect of injection condition on liquid segregation, formability, microstructure and mechanical properties in a thin product was investigated.

• Journal of Astronomy and Space Sciences
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• 제20권4호
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• pp.375-382
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• 2003

위성을 설계함에 있어 질량제어 계획을 작성하고 질량자료를 유지하며 시스템의 질량특성을 계산하고 제어하는 것은 기계 시스템 담당자가 수행하는 임무 중에 하나이다. 위성의 질량특성은 자료수집, 특성예측 그리고 실제 측정의 순서로 설계 및 제작이 진행됨에 따라 수행된다. 질량특성 데이터베이스는 설계과정을 통하여 작성하게 되며 질량특성 측정 시험을 수행하여 데이터베이스의 신뢰성을 확인할 수 있어야 한다. 본 논문에서는 위성에서의 질량 제어계획의 일반적인 내용과 시스템 수준의 질량중심 및 관성 모멘트 계산과 관련된 여러 가지 구체적인 사항을 고려한 이론적 질량 특성 데이터베이스를 개발하고, 다목적실용위성 2호 개발을 수행하면서 얻게 된 실제적인 자료와 경험을 토대로 본 연구에서 개발된 데이터베이스의 신뢰성을 확인하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2002년도 학술대회지
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• pp.249-252
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• 2002

Turbulent properties of the wake of a circular cylinder were measured The diameter of the cylinder is l0mm and the Reynolds number is 420. A new 3D-PTY system was constructed and a genetic algorithm (GA) was introduced in order to increase the number of instantaneous three-dimensional velocity vectors. In the GA two fitness functions were introduced in order to enhance the correspondences of the particles. The measurement system consists of three CCD cameras, Ar-ion laser, an image grabber and a host computer. More than 3000 instantaneous three-dimensional velocity vectors were obtained by the system. The database of the turbulent properties of the circular cylinder was constructed by the constructed 3D-PTV system.

• Advances in concrete construction
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• 제14권1호
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• pp.15-34
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• 2022

The use of waste rubber in concrete can reduce natural aggregate consumption and improve some technical properties of concrete. Although there are several equations for estimating the mechanical properties of concrete containing waste rubber, limited numbers of machine learning-based models have been proposed to predict the mechanical properties of rubbercrete. In this study, an extensive database of the mechanical properties of rubbercrete was gathered from a comprehensive survey of the literature. To model the mechanical properties of rubbercrete, M5P tree and linear gene expression programming (LGEP) methods as two machine learning techniques were employed to achieve reliable mathematical equations. Two procedures of input variable selection were considered in this study. The crucial component ratios of rubbercrete and concrete age were assumed as the input variables in the first procedure. In contrast, the volumes of the coarse and fine waste rubber and the compressive strength of concrete without waste rubber were considered the second procedure of the input variables. The results show that the models obtained by LGEP are more accurate than those achieved by the M5P model tree and existing traditional equations. Besides, the volumes of the coarse and fine waste rubber and the compressive strength of concrete without waste rubber are better predictors of the mechanical properties of rubbercrete compared to the first procedure of input variable selection.