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Eleni Chatzi (1981-)

Bauingenieurin

Name	Eleni Chatzi
Time	1981- (Date of birth and death)
Place	Zürich (Wirkungsort) Athen (Geburtsort) Griechenland
Academic degree	Prof. Dr.
Profession	Bauingenieurin (characteristic profession)
Variant	Eleni N. Chatzi E. N. Chatzi E. Chatzi
Related	Eidgenössische Technische Hochschule Zürich
Further information	Structural Mechanics and Monitoring Civil, Environmental and Geomatic Engineering ETH Zurich Zurich, Switzerland
Source	https://chatzi.ibk.ethz.ch/about-us/people/prof-dr-eleni-chatzi.html (Stand: 05.05.2023)
Record type	Person
GND-Identifier	1089592248
Record ID	1089592248
Involved in show all Towards a dynamic earthquake risk framework for Switzerland Towards a Dynamic Earthquake Risk Framework for Switzerland A full‐scale case study of vibration‐based structural health monitoring of bridges: prospects and open challenges Reducing uncertainty in seismic assessment of multiple masonry buildings based on monitored demolitions Damage localization in data-driven vibration-based structural health monitoring using linear quadratic estimation theory Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks Automated identification of the coefficient of restitution via bouncing ball measurement Identification Methods for Structural Health Monitoring

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Eleni Chatzi (1981-)

Towards a dynamic earthquake risk framework for Switzerland

Towards a Dynamic Earthquake Risk Framework for Switzerland

A full‐scale case study of vibration‐based structural health monitoring of bridges: prospects and open challenges

Reducing uncertainty in seismic assessment of multiple masonry buildings based on monitored demolitions

Damage localization in data-driven vibration-based structural health monitoring using linear quadratic estimation theory

Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks

Automated identification of the coefficient of restitution via bouncing ball measurement

Identification Methods for Structural Health Monitoring