• Composites Research
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• 제35권3호
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• pp.182-187
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• 2022

본 논문은 다층 PCB에 사용되는 프리프레그의 물성을 파악하여 제시한 두께 실험식을 통해 PCB의 두께를 예측하기 위한 연구를 수행하였다. 프리프레그는 물성과 동박 잔존율에 의해서 PCB 제작시 두께가 감소하기 때문에 두께 실험식을 통한 정확한 PCB의 두께 예측이 필요하다. 두께 실험식에 사용되는 프리프레그의 밀도를 파악하기 위해 질량 및 두께를 측정하여 밀도를 도출하였다. 이후 CCL을 제작하기 위해 프리프레그와 동박을 적층하여 핫 프레스기를 사용하였고 광학현미경과 마이크로미터를 사용하여 두께를 측정하였다. 또한 동박 잔존율에 따른 두께 변화를 측정하기 위해 회로밀도를 다르게 구성하여 8층 PCB를 설계하였고 두께 측정 결과와 두께 실험식으로 도출된 두께를 비교하여 두께 실험식을 검증하였다. 비교 결과 CCL의 경우 2.56%, 다층 PCB의 경우 4.48%의 오차를 보였고 이를 통해 두께실험식의 신뢰성을 확인하였다.

• Structural Engineering and Mechanics
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• 제68권2호
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• pp.237-245
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• 2018

This study proposes an empirical formulation to predict the maximum deformation of offshore blast wall structure that is subjected to impact loading caused by hydrocarbon explosion. The blast wall model is assumed to be supported by a simply-supported boundary condition and corrugated panel is modelled. In total, 1,620 cases of LS-DYNA simulations were conducted to predict the maximum deformation of blast wall, and they were then used as input data for the development of the empirical formulation by regression analysis. Stainless steel was employed as materials and the strain rate effect was also taken into account. For the development of empirical formulation, a wide range of parametric studies were conducted by considering the main design parameters for corrugated panel, such as geometric properties (corrugation angle, breadth, height and thickness) and load profiles (peak pressure and time). In the case of the blast profile, idealised triangular shape is assumed. It is expected that the obtained empirical formulation will be useful for structural designers to predict maximum deformation of blast wall installed in offshore topside structures in the early design stage.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.1015-1018
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• 2006

The use of passive microwave data for estimating sea-ice thickness is limited by strong dependence of emissivity on near-surface brine. However, this particular characteristic becomes a basis for an algorithm to estimate thickness of thin sea-ice if a thickness-salinity-emissivity relationship is established. This study aims at developing an algorithm to estimate sea ice thickness on the basis of this relationship. In order to establish a thickness-salinity-emissivity relationship, we have conducted multi-platform synchronous observations in the Sea of Okhotsk. We note a positive relationship between thickness and brightness temperature. From observations, we also establish an empirical relationship between salinity and emissivity, thus between thickness and brightness temperature. The derived relationship is qualitatively similar to the one based on Hoekstra and Cappillino's formulation. Our results suggest that for thin sea-ice in the winter period there is potential to develop an algorithm to estimate sea-ice thickness.

• Geomechanics and Engineering
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• 제31권6호
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• pp.637-651
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• 2022

The seismic design of embankment dams requires more comprehensive studies to understand the behaviour of dams. Deformations primarily control this behaviour occur during or after earthquake loading. Dam failures and incidents show that the impacts of deformations should be reviewed for existing and new embankment dams. Overtopping erosion failure can occur if crest deformations exceed the freeboard at the time of the deformations. Therefore, crest settlement is one of the most critical deformations. This study developed empirical formulas using Gene Expression Programming (GEP) based on 88 cases. In the analyses, dam height (H_d), alluvium thickness (H_a), the magnitude-acceleration-factor (MAF) values developed based on earthquake magnitude (Mw) and peak ground acceleration (PGA) within this study have been chosen as variables. Results show that GEP models developed in the paper are remarkably robust and accessible tools to predict earthquake-induced crest settlement of embankment dams and perform superior to the existing formulation. Also, dam engineering professionals can use them practically because the variables of prediction equations are easily accessible after the earthquake.