Damage detection in shear buildings using different estimated curvature-Reference-Cited by-同舟云学术

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Damage detection in shear buildings using different estimated curvature

Published:2017-05-26 Issue:1 Volume:25 Page:e2050
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Shi Jun-Yang¹^ORCID,Spencer Billie F.²^ORCID,Chen Shi-Shuenn³

Affiliation:

1. Taiwan Building Technology Center; National Taiwan University of Science and Technology; Taipei Taiwan

2. Department of Civil and Environmental Engineering; University of Illinois at Urbana-Champaign; Champaign Illinois USA

3. Department of Civil and Construction Engineering; National Taiwan University of Science and Technology; Taipei Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Reference35 articles.

1. Vibration-based Damage Identification Methods: A Review and Comparative Study

2. Damage detection from changes in curvature mode shapes

3. DAMAGE DETECTION IN BRIDGES USING MODAL CURVATURES: APPLICATION TO A REAL DAMAGE SCENARIO

4. Structural Damage Detection Using Modal Curvature and Fuzzy Logic

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1. Fault Identification for Shear-Type Structures Using Low-Frequency Vibration Modes;Computer Modeling in Engineering & Sciences;2024

2. Baseline-Free Detection Method for Change of Lateral Stiffness of High-Rise Building Based on Statistical Moment Curvature;Structural Control and Health Monitoring;2023-10-20

3. Vibration feature extraction using signal processing techniques for structural health monitoring: A review;Mechanical Systems and Signal Processing;2022-09

4. A New Crack Detection Method Based on the Correlation Analysis of Frequency Response Function Curvature Differentiation (FRFCD);International Journal of Structural Stability and Dynamics;2022-07-23

5. Synthesis of healthy-structure model responses for damage quantification;Structural Health Monitoring;2022-05-24

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