A novel machine learning-based algorithm to detect damage in high-rise building structures-Reference-Cited by-同舟云学术

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A novel machine learning-based algorithm to detect damage in high-rise building structures

Published:2017-07-07 Issue:18 Volume:26 Page:e1400
ISSN:1541-7794
Container-title:The Structural Design of Tall and Special Buildings
language:en
Short-container-title:Struct Design Tall Spec Build

Author:

Rafiei Mohammad Hossein¹^ORCID,Adeli Hojjat¹²³⁴⁵^ORCID

Affiliation:

1. Department of Civil, Environmental and Geodetic Engineering; The Ohio State University; Columbus Ohio USA

2. Department of Electrical and Computer Engineering; The Ohio State University; Columbus Ohio USA

3. Department of Biomedical Engineering; The Ohio State University; Columbus Ohio USA

4. Department of Neurology; The Ohio State University; Columbus Ohio USA

5. Department of Neuroscience; The Ohio State University; Columbus Ohio USA

Publisher

Wiley

Subject

Building and Construction,Architecture,Civil and Structural Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/tal.1400/fullpdf

Reference59 articles.

1. Vision-Based Automated Crack Detection for Bridge Inspection

2. Sensor Attitude Correction of Wireless Sensor Network for Acceleration-Based Monitoring of Civil Structures

3. Capabilities of a Fiber Bragg Grating Sensor System to Monitor the Inelastic Response of Concrete Sections in New Tunnel Linings Subjected to Earthquake Loading

4. Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

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