Possibilistic Approach for Damage Detection in Structural Health Monitoring-Reference-Cited by-同舟云学术

Possibilistic Approach for Damage Detection in Structural Health Monitoring

Published:2007-09 Issue:9 Volume:133 Page:1247-1256
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Altunok E.¹²³,Reda Taha M. M.¹²³,Ross T. J.¹²³

Affiliation:

1. MSc Student, Dept. of Electrical and Computer Engineering, Univ. of New Mexico, Albuquerque, NM.

2. Assistant Professor, Dept. of Civil Engineering, Univ. of New Mexico, Albuquerque, NM.

3. Professor, Dept. of Civil Engineering, Univ. of New Mexico, Albuquerque, NM.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9445%282007%29133%3A9%281247%29

Reference33 articles.

1. Altunok E. (2006). “Fuzzy and possibility methods for damage detection in structural health monitoring.” MSc thesis Dept. of Electrical and Computer Engineering Univ. of New Mexico Albuquerque N.M.

2. Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions

3. Brown L. C. (2002). “QUAL2E-UNCAS: A framework for modeling uncertainty.” Italy–US Bilateral Workshop on Mathematical Models for Water Quality in Isolated Environments Venice Italy.

4. Casas J. R. Matos J. C. Figueiras J. A. Vehí J. García O. and Herrero P. (2005). “Bridge monitoring and assessment under uncertainty via interval analysis.” Proc. 9th Int. Conf. On Structural Safety And Reliability–ICOSSAR 2005 487–494.

5. Donald S. (2003). “Development of empirical possibility distributions in risk analysis.” Ph.D. thesis Dept. of Civil Engineering Univ. of New Mexico Albuquerque N.M.

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