• 응용통계연구
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• 제23권2호
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• pp.285-293
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• 2010

반응표면실험계획들을 평가하기 위한 방법으로서 전형적인 방법이 알파벳최적화이다. 그러나 이러한 알파벳최적화(D-, A-, G-, V-최적화 등)는 하나의 수치이므로 그 유용성에도 불구하고 반응표면실험계획들이 갖는 추정반응값 분산의 분포에 대한 정보에 한계를 갖는다. 이를 극복하고자 하는 대안으로서 그래픽 방법들이 있는데 우리는 그 중에 분위수그림을 애니메이션화한 동적분위수그림을 제안할 수 있고 이 동적분위수그림을 이용하여 반응표면실험계획들이 갖는 추정반응값분산의 분포를 서로 비교, 평가할 수 있다.

• 한국화재소방학회논문지
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• 제15권2호
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• pp.46-52
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• 2001

To evaluate the usability of compartment fire models for predicting sprinkler response time, fire experiment was conducted and measured sprinkler response time. The experimental data was compared with zone model "FASTLite"and field model "FDS"and field Model "SMARTFIRE" A Compartment fire conducted in a 2.4 m by 3.6 m by 2.4 m ISO 9705 room and measured H.R.R was approximately 100.3 kW. In test, Sprinkler activation temperature used is $72^{\circ}c$ and responded at 198s. The output of FASTLite, SMARTFIRE and, FDS for this fire scenario were 209s, 183s, and 192s, respectively. As a results, prediction using FDS model approached to that of test very closely and other models showed good approximated results also.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 추계학술대회 논문집
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• pp.267-272
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• 2014

In this paper, we analyze the characteristics for the driving shock resistance of the military vehicle through the bump test. Prior to the experiment, theoretical analysis was performed by using the SRS(shock response spectrum) and VRS(vibration response spectrum) analysis method. And we estimated the characteristics for the driving shock resistance of the military vehicle. Bump test was performed using the acceleration sensor and the driving test at a different speed. We evaluated the characteristics for the driving shock resistance of the military vehicle based on the result. And predicted values were compared with the theoretical analysis. In addition, we evaluated the results of the theoretical prediction of the SRS and the VRS analysis. And we evaluate the suitability of the prediction method at military vehicle shock analysis.

• 한국공간구조학회논문집
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• 제24권2호
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• pp.91-99
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• 2024

In this paper, machine learning models were applied to predict the seismic response of steel frame structures. Both geometric and material nonlinearities were considered in the structural analysis, and nonlinear inelastic dynamic analysis was performed. The ground acceleration response of the El Centro earthquake was applied to obtain the displacement of the top floor, which was used as the dataset for the machine learning methods. Learning was performed using two methods: Decision Tree and Random Forest, and their efficiency was demonstrated through application to 2-story and 6-story 3-D steel frame structure examples.

• 한국소음진동공학회논문집
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• 제20권6호
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• pp.555-561
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• 2010

Predicted noise level has been used to assess the annoyance response since noise map was generalized and being the normal method to assess the environmental noise. Unfortunately using predicted noise level to derive the annoyance prediction curve caused some problems. The data have to be grouped manually to use the annoyance prediction curve. The aim of this paper is to propose the method to handle the predicted noise level and the survey data for annoyance prediction curve. This paper used the percentage of persons annoyed(%A) and the percentage of persons highly annoyed as the descriptor of noise annoyance in a population. The logistic regression method was used for deriving annoyance prediction curve. It is concluded that the method of dichotomizing data and logistic regression was suitable to handle the predicted noise level and survey data.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 추계학술대회 논문집
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• pp.488-493
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• 2011

Authors previously suggested the design sensitivity analysis based on transmissibility function and identified the sensitivity of measured point over the small modification of system dynamics. On the other hand, the acceleration data will not reveal the strain information at the same location and authors suggested energy isoclines that successfully predict the fatigue damage on the interesting location to overcome the drawback of acceleration over fatigue society. Both of methodologies, sensitivity analysis and fatigue damage prediction, commonly use the response acceleration response as main indicator. In this paper, authors investigate the advanced method of vibration fatigue prediction using design sensitivity analysis to enhance the accuracy of predicted accumulated fatigue. Uni-axial vibration testing is performed with finite element model of a simple notched specimen and the prediction of fatigue damage at notched location is conducted for accelerations at different measurement locations that show different sensitivity contribution, either.

• 대한조선학회지
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• 제26권2호
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• pp.64-72
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• 1989

본 논문에서는 전단류를 받는 marine riser의 와류유기진동 예측모델을 제시하였다. 여기서는 marine riser를 인장력이 길이에 따라 변하는 보로 모델링하고, 섭동법으로 구해진 Green's function과 random vibration 이론에 의하여 예측모델을 구성하였다. 여기서 제시된 예측모델을 실제의 riser에 대하여 적용해 본 결과, riser는 전단류 내에서 유 무한 경계의 거동 특징을 동시에 갖는 중간적인 거동을 하며, riser의 길이에 따라 진동응답크기의 분포가 흐름의 유속분포와 비슷한 형태를 갖고 있는 것으로 나타났다. 또한, marine riser를 길이에 따라 변하는 인장력을 받는 보로 모델링한 경우와, 그것을 평균한 균일한 인장력을 받는 보로 모델링한 경우에 대하여 해석한 진동응답을 비교한 결과, 균일인장력을 받는 보로 모델링한 경우가 riser의 수면근처에서 실제보다 큰 예측치를 주고 있는 것으로 나타났다.

• 한국해양공학회지
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• 제20권3호
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• pp.54-60
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• 2006

For optimal design of a deep-sea ocean mining collector system, based on self-propelled mining vehicle, it is imperative to develop and validate the dynamic model of a tracked vehicle traveling on soft deep seabed. The purpose of this paper is to evaluate the fidelity of the dynamic simulation model by means of response surface methodology. Various statistical techniques related to response surface methodology, such as outlier analysis, detection of interaction effect, analysis of variance, inference of the significance of design variables, and global sensitivity analysis, are examined. To obtain a plausible response surface model, maximum entropy sampling is adopted. From statistical analysis and prediction for dynamic responses of the tracked vehicle, conclusions will be drawn about the accuracy of the dynamic model and the performance of the response surface model.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제12권5호
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• pp.275-285
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• 2006

본 논문에서는 그리드 컴퓨팅의 기존 자원 거래망 모델들의 문제점을 분석하고, 해결하기 위한 새로운 자원 거래 모델을 제안한다. 이 모델은 사용자와 자원 공급자 사이의 거래 가격을 예측하고 합리적인 거래 가격을 제시한다. 합리적인 가격 제안을 통해, 사용자와 자원 공급자 사이의 더 많은 자원 거래를 발생시키고, 사용자는 더 짧은 시간에 자원을 공급받게 된다. 본 논문에서 사용자의 자원 요구량 예측 정확도를 향상시키기 위하여 통계학의 예측 모델을 도입하였고 합리적인 가격 제안을 위해 미시 경제학의 가격 결정 이론을 도입하였다. 본 모델의 성능 평가를 위하여 사용자의 자원 요구량 예측 정확도, 자원 거래를 위한 응답시간, 자원 거래 횟수 그리고 사용자의 자원 활용률을 측정하였다. 실험의 결과로는 자원 예측 정확도는 87.45%의 신뢰성 있는 결과를 얻었고, 기존 모델들에 비해 응답시간은 72.39% 단축 되었다. 또한, 자원 거래 횟수는 162.56% 증가 하였다. 본 논문에서 제안하는 모델의 평균 자원 활용률은 90%에 근접했으며 기존 모델들과 비교해서는 230%이상 자원 활용률이 증가 하였다.

• Wind and Structures
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• 제21권1호
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• pp.85-103
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• 2015

Aerodynamic forces of vortex-induced vibration and galloping are going to be coupled when their onset velocities are close to each other, which will induce the cross-wind amplitudes of the structures increased continuously with ever-increasing wind velocities. The main purpose of the present work is going to propose an empirical formula to predict the response amplitude of VIV-galloping interaction. Firstly, two typical mathematical models for the coupled oscillations, i.e., Tamura & Shimada model and Parkinson & Corless model are comparatively summarized. Then, the key parameter affecting response amplitude is determined through comparative numerical simulations with Tamura & Shimada model. For rectangular cylinders with the side ratio from 0.5 to 2.5, which are actually prone to develop the VIV and galloping induced interaction responses, an empirical amplitude prediction formula is proposed after regression analysis on comprehensively collected experimental data with the predetermined key parameter.