TY - JOUR
T1 - Structural damage assessment in lattice towers based on a novel frequency domain-based correlation approach
AU - Pérez, Marco A.
AU - Font-Moré, Josep
AU - Fernández-Esmerats, Joan
N1 - Funding Information:
This work has been partially supported by the company COMSA through the project Nuclis RD17-1-0105. The authors are very grateful to Dr. Roger Serra-López for constructive suggestions and to César Alquézar for his help during the test experiments.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/1/1
Y1 - 2021/1/1
N2 - The goal of this experimental study is to validate a novel vibration-based damage identification methodology for lattice structures. To this end, this work has determined experimentally the degradation state of a lattice tower under different damage conditions by assessing variations to its vibration response, which lead to the identification of spectral-domain indicators that correlated with the structure's severity of damage. These indicators are derived from the complex frequency domain assurance criterion (CFDAC) matrices, which are obtained by comparing the vibration response of the structure between damaged and undamaged scenarios. The results showed that there exists a correlation between the proposed spectral correlation indices (SCI) and changes to stiffness and mass in the lattice tower. The results obtained in this work further demonstrate the viability of this technology as an innovative tool for autonomous and remote structural monitoring.
AB - The goal of this experimental study is to validate a novel vibration-based damage identification methodology for lattice structures. To this end, this work has determined experimentally the degradation state of a lattice tower under different damage conditions by assessing variations to its vibration response, which lead to the identification of spectral-domain indicators that correlated with the structure's severity of damage. These indicators are derived from the complex frequency domain assurance criterion (CFDAC) matrices, which are obtained by comparing the vibration response of the structure between damaged and undamaged scenarios. The results showed that there exists a correlation between the proposed spectral correlation indices (SCI) and changes to stiffness and mass in the lattice tower. The results obtained in this work further demonstrate the viability of this technology as an innovative tool for autonomous and remote structural monitoring.
KW - Damage identification
KW - Frequency response functions
KW - Lattice tower
KW - Non-destructive technique
KW - Structural assessment
KW - Structural health monitoring
KW - Vibration testing
UR - https://www.scopus.com/pages/publications/85092224652
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_univeritat_ramon_llull&SrcAuth=WosAPI&KeyUT=WOS:000594685700002&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.engstruct.2020.111329
DO - 10.1016/j.engstruct.2020.111329
M3 - Article
AN - SCOPUS:85092224652
SN - 0141-0296
VL - 226
JO - Engineering Structures
JF - Engineering Structures
M1 - 111329
ER -