Dynamic responses of nuclear power plant structure subjected to earthquake loads should be carefully investigated for safety. Because nuclear power plant structure are usually constructed by material of reinforced concrete, the aging deterioration of R.C. have no small effect on structural behavior of nuclear power plant structure. Therefore, aging deterioration of R.C. nuclear power plant structure should be considered for exact prediction of seismic responses of the structure. In this study, a machine learning model for seismic response prediction of nuclear power plant structure was developed by considering aging deterioration. The OPR-1000 was selected as an example structure for numerical simulation. The OPR-1000 was originally designated as the Korean Standard Nuclear Power Plant (KSNP), and was re-designated as the OPR-1000 in 2005 for foreign sales. 500 artificial ground motions were generated based on site characteristics of Korea. Elastic modulus, damping ratio, poisson’s ratio and density were selected to consider material property variation due to aging deterioration. Six machine learning algorithms such as, Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost), were used t o construct seispic response prediction model. 13 intensity measures and 4 material properties were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks present good prediction performance considering aging deterioration.

For the OPR1000, a standard power plant in Korea, an analytical model of the containment building considering voids and deterioration was built with multilayer shell elements. Voids were placed in the vulnerable parts of the analysis model, and the deterioration effects of concrete and rebar were reflected in the material model. To check the impact of voids and deterioration on the seismic performance of the containment building, iterative push-over analysis was performed on four cases of the analytical model with and without voids and deterioration. It was found that the effect of voids with a volume ratio of 0.6% on the seismic performance of the containment building was insignificant. The effect of strength reduction and cross-sectional area loss of reinforcement due to deterioration and the impact of strength increase of concrete due to long-term hardening offset each other, resulting in a slight increase in the lateral resistance of the containment building. To determine the limit state that adequately represents the seismic performance of the containment building considering voids and deterioration, the Ogaki shear strength equation, ASCE 43-05 low shear wall allowable lateral displacement ratio, and JEAC 4601 shear strain limit were compared and examined with the analytically derived failure point (ultimate point) in this study.

This study deals with the application of an artificial neural network (ANN) model to predict power consumption for utilizing seawater source heat pumps of recirculating aquaculture system. An integrated dynamic simulation model was constructed using the TRNSYS program to obtain input and output data for the ANN model to predict the power consumption of the recirculating aquaculture system with a heat pump system. Data obtained from the TRNSYS program were analyzed using linear regression, and converted into optimal data necessary for the ANN model through normalization. To optimize the ANN-based power consumption prediction model, the hyper parameters of ANN were determined using the Bayesian optimization. ANN simulation results showed that ANN models with optimized hyper parameters exhibited acceptably high predictive accuracy conforming to ASHRAE standards.

물질주의는 다양한 사회적 사건에 의해서 촉발될 수 있다. 본 연구에서는 물질주의를 정체성과 관련된 목표 달성 이라고 개념화하는 이론을 기반으로 사회적 배제가 자기 정체성과 관련된 욕구를 불러일으키며 이는 물질주의 수준 의 상승으로 이어질 것이라고 가정하였다. 구체적으로, 사회적 배제가 소속의 욕구와 통제의 욕구를 상승시켜 물질 주의를 상승시킬 것이라고 예상하였다. 또, 권력감의 접근 경향성을 기반으로 권력감이 높은 사람은 낮은 사람에 비해서 사회적 배제를 경험할 때 소속의 욕구와 통제의 욕구가 더 커질 것으로 예상하였다. 20 ̴30대 한국 여성 202 명을 대상으로 실험 연구를 진행한 결과, 사회적 배제는 통제 욕구의 상승을 통해서 물질주의를 상승시켰다. 또, 권 력감이 높은 사람의 경우, 권력감이 낮은 사람들보다 사회적 배제가 통제 욕구에 미치는 영향이 더 강해졌으며, 사회 적 배제가 통제 욕구를 통해 물질주의로 이어지는 경로는 권력이 높은 사람들에게만 유의했다. 사회적 배제는 소속 의 욕구를 상승시켰으나 소속의 욕구와 물질주의의 관계는 유의하지 않았고, 소속의 욕구의 매개 효과도 지지되지 않았다. 해당 결과를 기반으로 사회적 배제와 물질주의의 관계 및 연구의 한계에 대해 논의하였다.

The multi-layered heat source model is a model that can cover most of existing studies and can be defined with a simple formula. Based on the methodology performed in previous studies, the welding heat source was found through experiments and FEM under the welding power conditions of three cases and the parameters of the welding heat source were analyzed according to the welding power. In this study, parameters of fiber laser welding heat source according to welding power were searched through optimization algorithm and finite element analysis, and the correlation was analyzed. It was confirmed that the concentration of the welding heat source in the 1st layer was high regardless of the welding power, and it was confirmed that the concentration of the welding heat source in the 5th layer (last layer) increased as the welding power increased. This reflects the shape of the weld bead that appears during actual fiber laser welding, and it was confirmed that this study represents the actual phenomenon.

In this paper, we studied the applicability of data driven model, AAKR(Auto-Associative Kernel Regression) for generator power loss estimation. Correlation analysis performed on 39 turbine system variables for dataset construction and then 13 variables were selected as highly correlated with generator power output. For a memory vector, 95~100% thermal power section data were used and data at normal power condition for 3 month were extracted for query vector. Analysis result shows that 9 variables show good prediction between measured and estimated data, 2 variables show good correlation but with small bias and 2 variables show increasing difference and low correlation with the passage of time, which assumed to be cause of electric output loss.

본 연구의 목적은 전후진 자동변속기가 장착된 트랙터의 변속 충격을 모사하기 위한 시뮬레이션 모델에 적용될 비례 제어 밸브의 전류 제어 모델을 개발하는 것이다. 전류 제어 모델을 개발하기 위하여 시험 장치를 구성하여 밸브의 정특성 시험과 계단 응답 시험을 수행하였으며, 시험 결과를 토대로 전류 제어 모델을 검증하였다. 비례 제어 밸브의 전류 제어 모델은 밸브의 전류-압력 선도, PID 제어기, 펄스폭변조 신호 발생기와 밸브 모델로 구성하였다. 전류 제어 모델에 사용된 데이터는 시험을 통하여 도출된 값과 대상 트랙터에 적용된 값을 사용하였다. 전류 제어 모델 검증을 위해 계단 입력 신호에 대하여 전류 특성 시험을 수행하였고, 실제 전류 시험 결과와 시뮬레이션 결과를 비교하였다. 시험 결과와 시뮬레이션 결과에 대한 전류 특성을 비교해 보면, 상승 시간 오차는 0.0074초, 첨두치 시간의 오차는 0.0065초, 오버슈트 오차는 0.06%로 나타났다. 따라서 개발된 비례 제어 밸브의 전류 제어 모델은 실제 제어기의 전류 제어 특성을 제대로 반영할 수 있으며, 추후 변속 충격 모사를 위한 트랙터 시뮬레이션 모델에서 비례 제어 밸브의 전류 제어 모델로 사용될 수 있을 것으로 판단된다.

In this paper, an experimental study was carried out for vibration control of cable bridges with structurally flexible characteristics. For the experiment on vibration control, a model bridge was constructed by reducing the Seohae Grand Bridge and the shear type MR damper was designed using the wind load response measured at Seohae Grand Bridge. The shear type MR damper was installed in the vertical direction at the middle span of the model bridge, and dynamic modeling was performed using the power model. The tests of the vibration control were carried out by non-control, passive on/off control and Lyapunov control method on model bridge with scaled wind load response. The performance of the vibration control was evaluated by calculating absolute maximum displacement, RMS displacement, absolute maximum acceleration, RMS acceleration, and size of applied power using the response (displacement, acceleration, etc.) from the model bridge. As a result, the power model was effective in simulating the nonlinear behavior of the MR damper, and the Lyapunov control method using the MR damper was able to control the vibration of the structure and reduce the size of the power supply.

In order to modeling seismic isolation system such as lead-rubber bearing (LRB), bilinear model is widely used by many researchers. In general, an actual force-displacement relationship for LRB has a smooth hysteretic shape. So, Bouc-Wen model with smooth hysteretic shape represents more accurately actual hysteretic shape than bilinear model. In this study, seismic responses for seismically isolated nuclear power plant (NPP) with LRB modelled by Bouc-Wen and bilinear models are compared with those of NPP without seismic isolation system. To evaluate effect of earthquake characteristics for seismic responses of NPP isolated by LRB, 5 different site class earthquakes distinguished by Geomatrix 3rd Letter Site Classification and artificially generated earthquakes corresponding to standard design spectrum by Reg. Guide 1.60 are used as input earthquakes. From the seismic response results of seismically isolated NPP, it can be observed that maximum displacements of seismic isolation modelled by Bouc-Wen model are larger than those by bilinear model. Seismic responses of NPP with LRB is significantly reduced than those without LRB. This reduction effect for seismic responses of NPP subjected to Site A (rock) earthquakes is larger than that to Site E (soft soil) earthquakes.

In order to increase seismic performance of nuclear power plant (NPP) in strong seismic zone, lead-rubber bearing (LRB) can be applied to seismic isolation system of NPP structures. Simple equivalent linear model as structural analysis model of LRB is more widely used in initial design process of LRB than a bilinear model. Seismic responses for seismically isolated NPP containment structures subjected to earthquakes categorized into 5 different soil-site classes are calculated by both of the equivalent linear- and bilinear- LRB models and compared each others. It can be observed that the maximum displacements of LRB and shear forces of containment in the case of the equivalent linear LRB model are larger than those in the case of bilinear LRB model. From the seismic fragility curves of NPP containment structures isolated by LRB, it can be observed that seismic fragility in the case of equivalent linear LRB model are about 5~30 % larger than those in the case of bilinear LRB model.

본 논문에서는 페러데이 법칙을 이용한 진동발전 장치를 지하철의 자갈도상과 콘크리트 도상의 분류에 따른 기전력 량을 분석 하였다. 지하철 2호선 서초～방배 구간의 자갈도상에서 콘크리트 도상 변경으로 동일한 전동차 운행속도로 동일 구간에서 차량운행에 의한 동특성을 분석하고 진동력발전 장치를 이용해 얻어질 수 있는 기전력 량을 분석하였다. 또한 페러데이의 법칙에 의한 유도 기전력 식에 의한 계산 기전력 량과 발전 장치에 의한 관측 기전력 량을 베이지안 회귀 분석 및 상관분석을 통하여 철도에 적용되는 모델에 대한 신뢰구간과 모델식을 각 도상별로 업데이팅하였다. 수정된 식을 이용한 기전력은 한 개의 진동발전 장치 당 콘크리트 도상에서 4mV, 자갈도상에서는 40mV의 전력을 얻을 수 있다.

This fundamental studies on for the productivity improvement and laborsaving of purse seine fishery. Given the difficulty posed from the distortion of net shape caused by the external forces, such as tide, at the time of shooting and pursing, we set the 4 steps of 0, 2, 4 and 6cm/sec in flow velocity in the flume tank for the experiment in order to examine those characteristics. We used two model seines designed on the scale of 1 to 180 based on the power block seine, which is the mackerel purse seine generally used in the near sea of Jeju Island and triplex seine, which is the mackerel purse seine of one boat system fishing expected in the future, for the experiment, and interpreted the characteristics of several motion in water, such as the shape of seine, the change in tension and area during pursing and its the analysis results are as follows. Though the experiment could be conducted up to 6cm/sec of flow velocity that was defined, the experiment could not go on because of the severe distortion in the seine at the flow velocity in excess of 6cm/sec. As for the depth of leadline and reduction rate of side area of seine when the pursing is connected, P seine turned out to be slightly higher than T seine, and the hauling speed and reduction rate of upper area of seine were found similar to each other. The correlation between the hauling time (Ht) and depth of lead line (Dhp, Dht) of P seine and T seine can be expressed by the equation, that is, Dhp=(0.99Pt-7.63)Pt+69.01, Dht=(1.03Pt-7.73)Pt+66.74. The correlation between the hauling time and hauling velocity (Hpp, Hpt) can be expressed by the equation, that is, Hpp=-0.06Ht2+0.88Ht+0.78, Hpt=-0.05Ht2+0.81Ht+0.98 here, Pt is pursing time. And the correlation between the pursing time and the reduction rate of side area (sArp, sArt) can be expressed by the equation, that is, sArp=-0.48Pt2+14.79Pt-16.74, sArt=-0.45Pt2+14.56Pt-16.48. The reduction rate of upper area of seine (tArp, tArt) can be expressed by the equation, that is, tArp=0.34Pt2-0.66Pt-0.74, tArt=0.34Pt2-0.27Pt-1.80. In addition, the correlation between the pursing time and tension of purse line (Tep, Tet) can be expressed by the equation, that is, Tep=2.79Pt2+2.26Pt-0.60, Tet=2.14Pt2+8.08Pt-27.50.

It is the basic studies for productivity improvement and laborsaving of purse seine fishery. Because the seine shape is apt to be transformed in seine shooting process due to the effect of tide, this study is intended to establish 4 steps, whose flow velocity are 0, 2, 4 and 6cm/sec, in flume tank and perform the experiment to review the character. We used two model seines designed on the scale of 1 to 180 based on the power block seine, which is the mackerel purse seine generally used in the near sea of Jeju Island and triplex seine, which is the mackerel purse seine of one boat system fishing expected in the future, for the experiment, analyzed of the sinking movements on the two seines and its results are as follows. In the setting over the flow velocity 6cm/sec, experiment was impossible because of flying and transformation of seine were severe. The sinking movements of P seine and T seine generally showed linear phenomenon and the sinking speed showed gentle curve shape. Sinking tendency was distinguished by existence of flow velocity. When there is flow velocity, it showed the phenomenon that it sinking by similar type. Although sinking depth and sinking speed did not show distinguished classification, P seine shows bigger than T seine. When there was in flow velocity, the elapsed time(Et) and sinking depth (PDp, TDp) of P seine and T seine can be shown such experimental equations as PDp=(0.21V+4.96)Et-(0.62V-0.10) and TDp=(0.19V+4.95)Et-(0.72V+0.34). When there was in flow velocity, the elapsed time and siking speed (PSp, TSp) of P seine and T seine can be shown such experimental equations as PSp=-0.11Et2+1.42Et+1.75 and TSp=-0.11Et2+1.41Et+1.37.

본 연구의 목적은 국내 실정에 적합한 원전 기초지반의 지진안정성을 평가할 수 있는 적절한 해석모델을 제시하는 것이다 입력지진의 작용방향, 경계조건, 해석모델의 폭 및 깊이, 단층연약대의 모델링방법 등의 해석조건에 대하여 활동면해석법, 등가정적해석법, 동적해석법을 적용하였다. 해석결과 측면경계조건은 등가정적 해석시 수평롤러, 동적해석시 전달경계, 해석영역의 폭은 구조물 폭의 5배 이상, 깊이는 구조물 폭의 2배 이상을 적용하는 것이 바람직한 것으로 나타났다.