강섬유 보강 콘크리트(Steel Fiber Reinforced Concrete, SFRC)는 콘크리트의 취성적인 거동을 연성 거동으로 보완해주는 재료로서 사용되고 있다. SFRC는 과거 비 구조체에서 섬유 보강 콘크리트는 균 열을 제어하기 위한 목적으로만 사용되었지만 현재 구조적인 재료로서의 연구가 진행되고 있다. 콘크 리트의 압축강도는 강도계산에 사용되지만 재료의 인성(Toughness)을 평가하기 위해서는 응력-변형률 곡선이 필요하다. 본 연구에서는 섬유의 혼입량을 체적비 0.5%로 두어 나선철근의 유무 및 철근의 피 치를 변수로 두어 압축실험을 통해 인성비(Toughness Ratio)를 측정하였으며, 선행연구에 제안된 예측 식을 통해 실험 값과 해석 값을 비교하였다. 사용한 강섬유는 직경 0.75mm, 길이 60mm 및 인장강도 1,100MPa인 후크형 모양의 섬유를 사용하였으며, SFRC의 압축 실험은 200tonf 용량의 UTM을 사용 하여 응력-변형률 곡선을 확인하기 위해 0.5mm/min의 속도로 변위제어 하였다. Plain 시편의 압축강 도는 19.6MPa로 나타났으며, 52mm간격의 나선철근을 넣은 경우 33.3MPa, 섬유 0.5% 혼입한 경우 29MPa로 각각 70.1% 및 48.0% 높은 압축강도가 나타났다. 52mm 간격의 나선철근을 넣은 시편의 인성비는 0.34로 측정되었으며, 0.5%의 섬유가 혼입된 52mm 및 36mm간격으로 보강된 시편의 경우 각 0.32 및 0.49로 -6.5% 및 44.3%의 증감이 나타났다. 따라서 섬유의 보강으로 인한 SFRC의 인성 거동을 확인하였다. 예측식의 경우 52mm 나선철근으로 보강한 시편의 경우 압축강도 -0.06 및 변형 률 -7.37%의 오차율이 나타났으며, 36mm의 경우 각 11.51% 및 -36.5%의 오차율이 나타났다. 따라 서 예측식을 통해 나선철근으로 보강된 SFRC 강도예측을 확인하였다.

Environmental regulations of the International Maritime Organization (IMO) are getting stricter, and the demand for replacing the fuel of ships with eco-friendly fuels instead of heavy oil in the shipbuilding and marine industries is increasing. Among eco-friendly fuels, LNG (liquefied natural gas) is currently the most popular fuel. This is because it is an alternative that can avoid the IMO's environmental regulations by replacing fuel. In PART 1, as a basic study of laser welding of high manganese steel materials, a fiber laser bead-on-plate experiment was conducted using nitrogen protective gas, and the effect of each factor on the penetration shape was analyzed through cross-sectional observation. In PART II, argon and helium shielding gases, not the nitrogen shielding gas used in PART I, were tested under the same experimental conditions and the effect of the shielding gas on penetration during laser welding was conducted.

Environmental regulations of the IMO (International Maritime Organization) are becoming more and more conservative. In order to respond to IMO, the demand for replacing the fuel of ships with eco-friendly fuels instead of conventional heavy oil is increasing in the shipbuilding and offshore industries. Among eco-friendly fuels, LNG (Liquefied Natural Gas) is currently the most popular fuel. LNG is characteristically liquefied at -163 degrees, and at this time, its volume is reduced to 1/600, so it is transported in a cryogenic liquefied state for transport efficiency. A tank for storing this should have sufficient mechanical/thermal performance at cryogenic temperatures, and among them, high manganese steel is known as a material with high price competitiveness and satisfying these performance. However, high manganese steel has a limitation in that the mechanical performance of the filler metal is lower than that of the base metal called ‘under matching’. In this study, to overcome this limitation, a basic study was conducted to apply the fiber laser welding method without filler metal to high manganese steel. To obtain efficient welding conditions, in this study, bead-on-plate welding was performed by changing the fiber laser welding speed and output using helium shielding gas, and the effect of each factor on the penetration shape was analyzed through cross-sectional observation.

콘크리트 경화 시 발생하는 수분증발로 인한 건조수축은 콘크리트의 균열을 발생시킨다. 콘크리트에 발생하는 균열 은 콘크리트의 내구성을 저하하여 안정성과 사용성에 문제를 발생시킨다. 이러한 문제점을 보안하기 위해 콘크리트에 강섬유를 혼입하여 건조수축으로 인한 균열을 방지하는 강섬유 보강 콘크리트 (SFRC)에 관한 연구가 진행되고 있다. 강섬유는 콘크리트 의 균열단면에서 가교역할, 부착작용을 통해 건조수축으로 인한 균열발생을 억제하고 균열 폭을 감소시키는 효과가 있다. 본 논 문에서는 강섬유의 인장강도에 따른 강섬유 보강 콘크리트의 건조수축 제어성능을 평가하였다. 자유건조수축 실험과 구속건조 수축 실험을 진행하였으며 실험 결과를 콘크리트의 인장응력으로 변환하여 콘크리트 직접인장실험 결과와 비교하였다. 강섬유 의 자유건조수축 저감 효과는 미미하지만 강섬유의 인장강도가 증가할수록 구속건조수축으로 인한 균열제어에 효과적임을 확인 하였다. 또한 강섬유의 인장강도가 증가할수록 콘크리트의 인장응력이 증가함을 확인하였다.

Due to environmental pollution, regulations on existing petroleum-based fuels are increasing day by day. LNG is in the spotlight as an eco-friendly fuel that does not emit NOx or SOx, but its boiling point is -163°C, so it needs to be handled with care. Materials that can be used at the above temperature are defined by IMO through the IGC Code. Among them, 9% nickel steel has great advantages in yield strength and tensile strength under cryogenic conditions, but it is difficult to use in arc welding such as FCAW for various reasons. This study is a study to apply fiber laser welding to solve this problem. As a previous study, this study conducted a study to find a welding heat source. After performing bead on plate welding, the optimal heat source was derived by analyzing the shape of the bead and adjusting the parameters of the heat source model. In this case, by applying the multi-island genetic algorithm, which is a global optimization algorithm, not the intuition of the researcher, accurate results could be derived in a wide range.

Due to stricter environmental regulations of the International Maritime Organization(IMO), the number of ships fueled by Liquefied Natural Gas(LNG) is rapidly increasing. The International Code of the Construction and Equipment of Ships Carrying Liquefied Gases in Bulk(IGC Code) limits the material of tanks that can store cryogenic substances such as LNG. Among the materials listed in the IGC Code, ASTM A553M-17 has been recently adopted as a material for LNG fuel tank projects because of its excellent mechanical properties at cryogenic temperatures. In shipyards, this material is being used to build tanks through Flux Cored Arc Welding (FCAW). However, there is a problem that magnetization occurs during welding and there is a big difference in welding quality depending on the welding position. In order to overcome this problem, this study intends to conduct basic research to apply laser welding to ASTM A553M-17 material. In this study, a study on penetration (HAZ depth, Penetration) and welding defects during fiber laser welding according to three types of shielding gases(nitrogen, argon, and helium) was conducted. To this end, a Bead on plate(BOP) experiment was performed under four fiber laser conditions(Power, Speed) for each shielding gas and welding defects caused by the use of the shielding gas were compared through cross-sectional observation, and the penetration depth was analyzed.

본 연구에서는 섬유보강콘크리트(SFRC) 구조물의 수치해석을 위한 K&C모델의 보정기법을 소개하였다. SFRC 1축 및 3축 압축강도 실험결과를 기반으로 보정을 수행하였으며, 단일요소 해석결과를 실험결과와 비교함으로써 보정 기법의 검증을 수행하였다. 또 한, 변형률 속도의 영향을 반형하기 위해 동적증가계수(DIF)를 고려하여 SFRC 구조물의 발사체 관통해석을 수행함으로써 보정기법의 적용 가능성을 확인하였다.

Concrete masonry prisms are strengthened with steel fiber-reinforced mortar (SFRM) overlay and tested for compressive and diagonal tension strength. Masonry prisms are produced in poor condition considering standard workmanship for masonry buildings in Korea. Amorphous steel fibers are adopted for SFRM, and appropriate mixing ratios of SFRM are derived considering constructability and strength. Masonry prisms are strengthened with different fiber volume ratios, while numerous strengthened faces and additional reinforcing meshes are produced for compression and diagonal tension tests. Compression and diagonal tension strength are increased by up to 122% and 856%, respectively, and the enhancement effect for diagonal tension strength was superior compared to compression strength. Finally, the test results and strength prediction equations based on existing literature and regression analysis are compared.

본 논문에서는 풍하중에 노출된 강재 및 CFRP로 구성된 비닐하우스에 대한 확률론적 성능비교를 하였다. 풍하중에 대한 취약성은 강풍에 노출된 온실의 파괴확률을 추정하기 위해 사용되었으며 단동 비닐하우스의 유한요소 모델링은 한국농촌 경제연구원에서 발간한 설계도를 적용하였다. 해석결과를 구조물의 한계상태와 비교함으로써 비닐하우스의 파괴상태를 결정할 수 있다. 기본적으로 몬테카를로 시뮬레이션은 풍속에 따른 파괴확률을 도출하기 위해 가상의 풍하중에 대하여 적용하지만 본 논문에서는 전체에 대한 수직 및 수평 변형한계상태를 고려하였다. 그 결과, 강재 비닐하우스가 가장 높은 성능을 보였으며 수평 변형 한계상태가 하중조건에 대한 단동비닐하우스의 파괴원인임을 확인하였다.

The contemporary high-tech structures have become enlarged and their functions more diversified. Steel concrete structure and composite material structures are not exceptions. Therefore, there have been on-going studies on fiber reinforcement materials to improve the characteristics of brittleness, bending and tension stress and others, the short-comings of existing concrete. In this study, the purpose is to develop the estimated model with dynamic characteristics following the steel fiber mixture rate and formation ration by using the nerve network in mixed steel fiber reinforced concrete (SFRC). This study took a look at the tendency of studies by collecting and analyzing the data of the advanced studies on SFRC, and facilitated it on the learning data required in the model development. In addition, by applying the diverse nerve network model and various algorithms to develop the optimal nerve network model appropriate to the dynamic characteristics. The accuracy of the developed nerve network model was compared with the experiment data value of other researchers not utilized as the learning data, the experiment data value undertaken in this study, and comparison made with the formulas proposed by the researchers. And, by analyzing the influence of learning data of nerve network model on the estimation result, the sensitivity of the forecasting system on the learning data of the nerve network is analyzed.

The service life of coal gangue concrete(CGC) strongly depends on the capillary water absorption, this water absorption is susceptible to freeze-thaw cycles. In this paper, the cumulative water absorption and sorptivity were obtained to study the effects of 0, 0.5, 1.0, and 1.5 % steel fiber volume fraction added on the water absorption of CGC. Sorptivity and freeze-thaw tests were conducted, and the capillary water absorption was evaluated by the rate of water absorption(sorptivity). Three prediction models for the initial sorptivity of steel fiber reinforced coal gangue concrete(SFRCGC) under freeze-thaw cycles were established to evaluate the capillary water absorption of SFRCGC. Results showed that, without freeze-thaw cycles, the water absorption of CGC decreased when steel fiber at 1.0 % volume fraction was added, however, the water absorption increased with the addition of 0.5 or 1.5% steel fibers. Once the SFRCGC specimens were exposed to freeze-thaw cycles, the water absorption of SFRCGC significantly increased, and 1.0 % steel fiber in volume fraction added to CGC caused the lowest water absorption, except for the case of the sample without steel fibers added. The CGC with steel fiber at 1.0 % volume fraction performed better. The SFRCGC has a strong response to freeze-thaw cycles. Results also showed that the linear function prediction model is practical in the field of engineering because of its simple form and a relatively high precision. Although the polynomial prediction model presents the highest computation precision among the three models, the complicated form and too many coefficients make it impractical for engineering applications.