Spectral-Based Damage Identification in Structures under Ambient Vibration-Reference-Cited by-同舟云学术

Spectral-Based Damage Identification in Structures under Ambient Vibration

Published:2016-07 Issue:4 Volume:30 Page:04015062
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Makki Alamdari Mehrisadat¹,Samali Bijan²,Li Jianchun³,Kalhori Hamed⁴,Mustapha Samir⁵

Affiliation:

1. Infrastructure, Transport and Logistics, National ICT Australia, Level 5, 13 Garden St., Eveleigh, NSW 2015, Australia; Centre for Built Infrastructure Research, Univ. of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia (corresponding author).

2. Institute for Infrastructure Engineering, Univ. of Western Sydney, 2nd Ave., Kingswood, NSW 2747, Australia.

3. Centre for Built Infrastructure Research, Univ. of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.

4. School of Aerospace, Mechanical and Mechatronic Engineering, Univ. of Sydney, NSW 2006, Australia.

5. Dept. of Mechanical Engineering, American Univ. of Beirut, Beirut 1107 2020, Lebanon.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000541

Reference30 articles.

1. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines

2. HIBIC: Expert System for Highway Bridge Dynamics

3. Analogies between spectral methods and multiaxial criteria in fatigue damage evaluation

4. Brincker R. Zhang L. and Andersen P. (2000). “Modal identification from ambient responses using frequency domain decomposition.” Proc. 18th Int. Modal Analysis Conf. (IMAC) San Antonio.

5. Non-geometric spectral moments for frequency varying filtered input processes

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Extracted Modal Parameters Using FRF and Measured Operational Dynamic Data;Lecture Notes in Civil Engineering;2024

2. A Future with Machine Learning: Review of Condition Assessment of Structures and Mechanical Systems in Nuclear Facilities;Energies;2023-03-10

3. Vibration signal separation of rotating cylindrical structure through target-less photogrammetric approach;Journal of Sound and Vibration;2023-03

4. Post-hazard condition assessment of nuclear piping-equipment systems: Novel approach to feature extraction and deep learning;International Journal of Pressure Vessels and Piping;2023-02

5. Fully automatic operational modal analysis method based on statistical rule enhanced adaptive clustering method;Engineering Structures;2023-01