Machine-learning-based approach for post event assessment of damage in a turn-of-the-century building structure-Reference-Cited by-同舟云学术

Machine-learning-based approach for post event assessment of damage in a turn-of-the-century building structure

Published:2018-03-07 Issue:2 Volume:8 Page:237-251
ISSN:2190-5452
Container-title:Journal of Civil Structural Health Monitoring
language:en
Short-container-title:J Civil Struct Health Monit

Author:

Nazarian Ebrahim,Taylor Todd,Weifeng Tian,Ansari Farhad

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s13349-018-0275-6/fulltext.html

Reference27 articles.

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2. Compan V, Pachon P, Camara M, Lourenco PB, Saez A (2017) Structural safety assessment of geometrically complex masonry vaults by non-linear analysis. The Chapel of the Wurzburg Residence (Germany). Eng Struct 140:1–13

3. Frizzarin M, Feng MQ, Franchetti P, Soyoz S, Modena C (2010) Damage detection based on damping analysis of ambient vibration data. Struct Control Health Monit 17(4):368–385

4. Haji Agha Mohammad Zarbaf SE, Norouzi M, Allemang RJ, Hunt VJ, Helmicki A (2017) Stay cable tension estimation of cable-stayed bridges using genetic algorithm and particle swarm optimization. J Bridge Eng 22(10):05017008

5. Haji Agha Mohammad Zarbaf SE, Norouzi M, Allemang RJ, Hunt VJ, Helmicki A, Nims DK (2017) Stay force estimation in cable-stayed bridges using stochastic subspace identification methods. J Bridge Eng 22(9):04017055

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