A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Improving frequency-features by parametric study of data-driven SHM schemes
In recent years, structural health monitoring (SHM) has advanced significantly, providing insights about structures with the integration of Big Data and Machine Learning tools. Modern SHM involves extracting features to capture structural behavior, providing valuable insights. The Random Decrement Technique (RDT) is crucial in estimating free responses and fre-quency-features through System Identification (SID) techniques. Despite the effectiveness of RDT and SID in SHM, a comprehensive sensitivity analysis of parameters and resulting frequency- features is still a topic of research. This article analyses the parameters for RDT and Hankel alter-native view of Koopman (HAVOK) approach in extracting modal parameters from a real struc-tural bridge in Andoain, Spain. The study reveals that extending the Hankel horizon minimizes damping factor variance, and increasing averaged segments or the time duration of these segments ensures stable numerical values of the estimated modal parameters. Ultimately, the algorithm par-ametrization depends on the resource constraints in desired monitoring deployments. ; Peer Reviewed ; Postprint (published version)
Improving frequency-features by parametric study of data-driven SHM schemes
In recent years, structural health monitoring (SHM) has advanced significantly, providing insights about structures with the integration of Big Data and Machine Learning tools. Modern SHM involves extracting features to capture structural behavior, providing valuable insights. The Random Decrement Technique (RDT) is crucial in estimating free responses and fre-quency-features through System Identification (SID) techniques. Despite the effectiveness of RDT and SID in SHM, a comprehensive sensitivity analysis of parameters and resulting frequency- features is still a topic of research. This article analyses the parameters for RDT and Hankel alter-native view of Koopman (HAVOK) approach in extracting modal parameters from a real struc-tural bridge in Andoain, Spain. The study reveals that extending the Hankel horizon minimizes damping factor variance, and increasing averaged segments or the time duration of these segments ensures stable numerical values of the estimated modal parameters. Ultimately, the algorithm par-ametrization depends on the resource constraints in desired monitoring deployments. ; Peer Reviewed ; Postprint (published version)
Improving frequency-features by parametric study of data-driven SHM schemes
Puerto Santana, Cristian (author) / Diaz Rozo, Javier (author) / Ocampo-Martinez, Carlos (author) / Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió
2024-01-01
Conference paper
Electronic Resource
English
DDC:
624
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