Decomposition Approach for Damage Detection, Localization, and Quantification for a 52-Story Building in Downtown Los Angeles-Reference-Cited by-同舟云学术

Decomposition Approach for Damage Detection, Localization, and Quantification for a 52-Story Building in Downtown Los Angeles

Published:2020-09 Issue:9 Volume:146 Page:04020089
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Abdelbarr Mohamed H.¹^ORCID,Massari Anthony²^ORCID,Kohler Monica D.³,Masri Sami F.⁴

Affiliation:

1. Assistant Professor, Faculty of Engineering, Cairo Univ., Cairo 12613, Egypt (corresponding author). ORCID: .

2. Assistant Professor of Practice, College of Engineering, Ohio State Univ., Columbus, OH 43210. ORCID:

3. Research Professor, Dept. of Mechanical and Civil Engineering, California Institute of Technology, Pasadena, CA 91126.

4. Professor, Viterbi School of Engineering, Univ. of Southern California, Los Angeles, CA 90089-2531.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001809

Reference42 articles.

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3. An adaptive learning damage estimation method for structural health monitoring

4. Chang F. K. 2017. “Real-time material state awareness and data-driven safety assurance.” In Proc. 11th Int. Workshop on Structural Health Monitoring. Lancaster PA: DEStech Publications.

5. Review Paper: Health Monitoring of Civil Infrastructure

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