http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 손용우 ( Yong-woo Son ) (검색결과 7 건)
- 무료
- 기관 내 무료
- 유료
-
-
인공신경망 알고리즘을 이용한 손상된 RC교량의 유지관리시스템 개발
손용우 ( Yong-woo Son ),이경동 ( Gyeong-dong Lee ),한상호 ( Sang-ho Han ) 한국환경기술학회 2005 한국환경기술학회지 Vol.6 No.3
The purpose of this study makes a retrofit and rehabilitation practice through the analysis and the improvement for the underlying problem of current retrofit and rehabilitation methods. Therefore, the deterioration process, the damage cause, the condition classification, the fatigue mechanism and the applied quantity of strengthening methods for RC deck slabs were analyzed. Artificial neural networks are efficient computing techniques that are widely used to solve complex problems in many fields. In this study, a back-propagation neural network model for estimating a management on existing reinforced concrete bridge decks from damage cause, damage type, and integrity assessment at the initial stage is need. The training and testing of the network were based on a database of 36. Four different network models were used to study the ability of the neural network to predict the desirable output of increasing degree of accuracy. The neural networks is trained by modifying the weights of the neurons in response to the errors between the actual output values and the target output value. Training was done iteratively until the average sum squared errors over all the training patterns were minimized. This generally occurred after about 5,000 cycles of training.
-
자산관리 개념을 이용한 손상된 RC-Wall구조물의 생애주기비용분석 모델
손용우 ( Yong-woo Son ),라덕관 ( Deog-gwan Ra ),이경동 ( Gyung-dong Lee ) 한국환경기술학회 2010 한국환경기술학회지 Vol.11 No.1
The importance of the life cycle cost(LCCA) analysis for reinforced concrete(RC) structure construction projects has been fully recognized over the last decades. So the theoretical models, guidelines, and supporting software systems were developed for the LCCA of reinforced concrete systems. However, the level of consensus on LCCA results is still low due to the lack of reliable data of maintenance activities for asset assessment. In order to predict the asset management based LCCA of the given case, suggested the maintenance strategies level after reviewing other related materials. Apply the real information of the economic index and asset value. And based on such analytical measures, maintenance and operation cost and LCC in maintenance strategy level have been predicted; suggests the basic information about maintenance intervention level for the reinforced concrete structures. The model and the procedure presented in this study can greatly contribute to the value-oriented design alternative selection, estimation of the economic analysis, and the allocation of budget for reinforced concrete construction projects.
-
기존RC교량 바닥판의 유지관리를 위한 전문가 시스템 개발
손용우 ( Sohn Yong-woo ),이증빈 ( Lee Cheung-bin ),이채규 ( Lee Chai-kyu ),손승현 ( Son Seung-hyun ),안영기 ( Ahn Young-ki ) 한국구조물진단유지관리공학회 2002 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.6 No.2
The purpose of this study makes a retrofit and rehabilitation practice trough the analysis and the improvement for the underlying problem of current retrofit and rehabilitation methods. Therefore, the deterioration process, the damage cause, the condition classification, the fatigue mechanism and the applied quantity of strengthening methods for RC deck slabs were analtzed. Artificial neural networks are efficient computing techniqures that are widely used to solve complex problems in many fields. In this study, a back-propagation neural network model for estimating a management on existing reinforced concrete bridge decks from damage cause, damage type, and integrity assessment at the initial stsge is need. The training and testing of the network were based on a database of 36. Four different network models werw used to study the ability of the neural network to predict the desirable output of increasing degree of accuracy. The neural networks is trained by modifying the weights of the neurons in response to the errors between the actual output values and the target output value. Training was done iteratively until the average sum squared errors over all the training patterms were minimized. This generally occurred after about 5,000 cycles of training.
-
Son,Yong Woo,Lee,Suk Yong 中央大學校 基礎科學硏究所 1992 基礎科學硏究所 論文集 Vol.6 No.-
비가환 환론에서, 특정한 성질을 갖는 원소들로 이루어진 레디칼 이데알들 중에서 Jacobson레디칼과 소 레디칼의 관계를 살펴 보았으며, 특히, 영의 성질을 갖는 원소들에 의해 생성된 소 레디칼의 특징을 소개하였다. 또한, 결론으로 임의의 좌이데알의 집합이 항상 최소 이데알을 갖는 환에서 소 레디칼, 닐 레디칼, 그리고 Jacobson 레디칼은 서로 동치임을 확인하였다.
-
총기대비용 최소화원칙에 의한 강구조압축부재의 최적설계규준에 관한 연구
정철원,손용우,박영철 圓光大學校 環境建設硏究所 1997 環境建設論文集 Vol.6 No.-
The safety and serviceability are two major requirements that all structures must satisfy. This safety of structures must be determined to adequately resist the applied loads. The conventional design method is based on the deterministic approach in which the loads and resistances are evaluated deterministically. This study is the proper probability based design criteria(Optimum load and resistence factor design formats)has been developed based on the safety levels observed from calibration with existing standards, which applies to the ultimate limit ststes of steel compression member.
-
The Study of the Galois cohomology
Lee, Suk Yong,Son, Yong Woo 中央大學校 基礎科學硏究所 1993 基礎科學硏究所 論文集 Vol.7 No.-
브라우어 군은 체 F상에서 유한차원 단순 다원환의 동치류로 구성되며, E를 F에 갈로와 확대체로 하는 브라우어 군 B(E/F)의 합집합이 됨을 알 수 있다. 또한, 각각의 브라우어 군B(E/F)는 2차 코호몰로지 군 H²(G(E/F), ??)와 동형이 된다. 위의 사실을 바탕으로, 갈로와 코호몰로지 군 준동형으로서, 확장사상과 제한사상이 정의된다. 이 논문의 목적은 이와 같은 함수를 연구하고, 결과로써 정리 3.1., 정리 3.2,에서 보는 바와 같이 브라우어 군과의 상호관련성을 알아보는 것이다.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
