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신형상의 합성용 데크플레이트를 사용한 합성슬래브의 구조적 거동에 관한 해석적 연구
문태섭,배종우,Moon, Tae Sup,Bae, Jong Woo 한국강구조학회 1999 韓國鋼構造學會 論文集 Vol.11 No.2
The objective of this study is to investigate the structural behavior of the composite slabs with the new-shaped deckplate. In order to examine the deckplate as structural members, the composite slabs with new-shaped deckplate are compared and verified with the international design codes, and the simple inertia-moment equation of the composite slabs is suggested from the regression analysis of the results of the experiments. Besides, the finite element analysis was added on the purpose of the observation of structural behavior of the section items such as the Locking rib and the Dovetail. 36 experiments of composite slabs were performed with two new-type deckplates. And the finite-element analysis was performed by ABAQUS package with the function of the 3-dimension solid modeling. 본 논문은 신형상의 합성용 데크플레이트 개발에 따른 합성슬래브의 구조적 거동에 관하여 연구한 것이다. 신형상의 데크플레이트가 구조재로서 사용이 되어질 수 있도록 합성슬래브의 실험결과를 국제적인 규준식에 의한 계산결과와 비교 검증하였으며 또한 회귀분석을 통해 합성슬래브의 유효단면2차모멘트식을 제안하였다. 또한 데크플레이트 단면요소의 구조적인 특성에 대한 고찰을 위하여 이것을 변수로 하여 유한요소해석을 실시하였다. 합성슬래브 실험은 새롭게 개발한 두 type의 데크플레이트를 사용하여 36개의 시험체를 제작 실험하였으며, 유한요소해석은 3차원 Solid 모델링이 가능한 ABAQUS 프로그램을 사용하여 해석모델링을 개발, 해석을 실시하여 그 결과를 분석하였다.
인공 신경망(ANN)에 의한 하수처리장의 유입 유량 및 유입 성분 농도의 예측
문태섭 ( Tae Sup Moon ),최재훈 ( Jae Hoon Choi ),김성희 ( Sung Hui Kim ),차재환 ( Jae Hwan Cha ),염훈식 ( Hoon Sik Yoom ),김창원 ( Chang Won Kim ) 한국물환경학회 2008 한국물환경학회지 Vol.24 No.1
This work was performed to develop a model possible to predict the influent flow and influent components, which are one of main disturbances causing process problems at the operation of municipal wastewater treatment plant. In this study, artificial neural network (ANN) was used in order to develop a model that was able to predict the influent flow, CODMn, SS, TN 1 day-ahead, 2day-ahead and 3 day ahead. Multi-layer feed-forward back-propagation network was chosen as neural network type, and tanh-sigmoid function was used as activation function to transport signal at the neural network. And Levenberg-Marquart (LM) algorithm was used as learning algorithm to train neural network. Among 420 data sets except missing data, which were collected between 2005 and 2006 at field plant, 210 data sets were used for training, and other 210 data sets were used for validation. As result of it, ANN model for predicting the influent flow and components 1-3day ahead could be developed successfully. It is expected that this developed model can be practically used as follows: Detecting the fault related to effluent concentration that can be happened in the future by combining with other models to predict process performance in advance, and minimization of the process fault through the establishment of various control strategies based on the detection result.
Brace 개재의 (個材) 이력특성에 (履歷特性) 관한 실험적 연구
문태섭(Tae Sup Moon),윤명호(Myung Ho Yoon),김승환(Seung Hwan Kim) 한국강구조학회 1990 韓國鋼構造學會誌 Vol.2 No.2
In this paper, experimental results are described and discussed on cyclic inelastic behavior of steel bracing member, double angle and pipe section are selected. Through this experimental results, the change of energy dissipation ability according to the change of slenderness ratios were examined. In addition, fundamental data which are necessary at a simple and practical formulation for the hysteretic characteristics of braces is furnished.