지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.3
- 수록면
- 111 - 120 (10page)
이용수
초록· 키워드
오류제보하기
In this paper, the damage location of a bridge is identified using probabilistic neural networks. At first, modal parameters are identified from the ambient vibration data, and are utilized as the feature vectors for probabilistic neural networks. The class to be identified is defined according to the location of damaged structural members. To deal with a lot of structural members, the number of classes is reduced by grouping neighboring elements to one class. The effectiveness of the proposed method was demonstrated by means of a numerical example analysis on a simply supported bridge model with multiple girders, and by a field test on the northernmost span of the old Hannam Grand Bridge over the Han River in Seoul, Korea.
목차
Abstract
1. Introduction
2. Probabilistic Neural Networks for Damage Detection
3. A Numerical Example Analysis
4. Field Tests on a Steel Girder Bridge
5. Conclusion
Acknowledgement
References
참고문헌 (26)
참고문헌 신청
, 2002 , Seismic vulnerability assessment of chemical plants through probabilistic neural networks 77 (3) : 263 ~ 268
, 2000 , Modal identification from ambient response using frequency domain decomposition : 625 ~ 630
, 1966 , Estimation of a multivariate density. Annals of the Institute of Statistical Mathematics 18 : 179 ~ 189
, 1979 , Location of defects in structures from measurements of natural frequencies 14 : 49 ~ 57
, 2002 , Probabilistic neural network-based damage assessment for bridge structures 6 (5) : 169 ~ 179
, 2000 , Modal identification from ambient response using frequency domain decomposition : 625 ~ 630
, 1966 , Estimation of a multivariate density. Annals of the Institute of Statistical Mathematics 18 : 179 ~ 189
, 1979 , Location of defects in structures from measurements of natural frequencies 14 : 49 ~ 57
, 2002 , Probabilistic neural network-based damage assessment for bridge structures 6 (5) : 169 ~ 179
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Probabilistic Neural Network and Detection of Moving Point Targets
ICONIP : International Conference On Neural Information Processing
1994 .01
-
Refinement of damage identification capability of neural network techniques in application to a suspension bridge
Structural monitoring and maintenance
2015 .01
-
Two-step approaches for effective bridge health monitoring
Structural engineering and mechanics : An international journal
2006 .01
-
Estimation of Concrete Strength Using Improved Probabilistic Neural Network Method
International Journal of Concrete Structures and Materials
2005 .12
-
Modified Probabilistic Neural Network of Heterogeneous Probabilistic Density Functions for the Estimation of Concrete Strength
International Journal of Concrete Structures and Materials
2007 .03
-
Evaluation of existing bridges using neural networks
Structural engineering and mechanics : An international journal
2002 .01
-
Damage assessment of cable stayed bridge using probabilistic neural network
Structural engineering and mechanics : An international journal
2004 .01
-
Probabilistic Sensor Models for Multiple Objects Localization Problem
제어로봇시스템학회 국제학술대회 논문집
2006 .10
-
CLASSIFICATION BUBBLE IN MIRROR USING PROBABILISTIC NEURAL NETWORK
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2006 .07
-
A two-step approach for joint damage diagnosis of framed structures using artificial neural networks
Structural engineering and mechanics : An international journal
2003 .01
-
교량구조물의 헬스모니터 링을 위한 진동계측
한국소음진동공학회논문집
2001 .08
-
Vibration based damage localization using MEMS on a suspension bridge model
Smart structures and systems
2013 .01
-
Probabilistic Approach to Analyze Vibration Localization Phenomena for Periodic Structures
한국소음진동공학회 국제학술발표논문집
2003 .08
-
Results and implications of the damage index method applied to a multi-span continuous segmental prestressed concrete bridge
Structural engineering and mechanics : An international journal
2000 .01
-
Modal parameters based structural damage detection using artificial neural networks - a review
Smart structures and systems
2014 .01
-
Acceleration-based neural networks algorithm for damage detection in structures
Smart structures and systems
2008 .01
-
Sensitivity analysis of mechanical behaviors for bridge damage assessment
Structural engineering and mechanics : An international journal
2012 .01
-
Probabilistic Support Vector Machine Localization in Wireless Sensor Networks
[ETRI] ETRI Journal
2011 .12
-
A Study on Fatigue Damage Modeling Using Neural Networks
Journal of Mechanical Science and Technology
2005 .07
-
Damage detection in truss bridges using vibration based multi-criteria approach
Structural engineering and mechanics : An international journal
2011 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2009-531-019174960