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Using enhanced cepstral analysis for structural health monitoring

Matteo Ferraris

Using enhanced cepstral analysis for structural health monitoring.

Rel. Cecilia Surace, Marco Civera. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Civile, 2018

Abstract:

Using enhanced cepstral analysis for structural health monitoring The thesis is based on damage detection algorithm applied to a real case study (masonry buildings). From artificial input, training Time Histories of the undamaged Model are created; then, the structure is artificially damaged with the reduction of the E modulus of the material of some sections, and new Time Histories are produced. These last ones will be the testing samples for the damage detection algorithm. The main study is conducted on the Filterbanks for the preprocessing of the signal.

Relators: Cecilia Surace, Marco Civera
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 165
Additional Information: Tesi secretata. Full text non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Civile
Classe di laurea: New organization > Master science > LM-23 - CIVIL ENGINEERING
Ente in cotutela: Technische Universit├Ąt Wien (AUSTRIA)
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/9310
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