http://www.cnr.it/ontology/cnr/individuo/prodotto/ID20734
Detection of anomalies inside hollow metal cylindrical structures (Articolo in rivista)
- Type
- Label
- Detection of anomalies inside hollow metal cylindrical structures (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1080/17415971003675001 (literal)
- Alternative label
D. Rovetta, A. V. Bosisio, G. Bernasconi, G. Drufuca (2010)
Detection of anomalies inside hollow metal cylindrical structures
in Inverse problems in science & engineering (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- D. Rovetta, A. V. Bosisio, G. Bernasconi, G. Drufuca (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://dx.doi.org/10.1080/17415971003675001 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopus (literal)
- Google Scholar (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Dipartimento di Elettronica e Informazione, Politecnico di Milano; CNR\IEIIT; Dipartimento di Elettronica e Informazione, Politecnico di Milano;Dipartimento di Elettronica e Informazione, Politecnico di Milano (literal)
- Titolo
- Detection of anomalies inside hollow metal cylindrical structures (literal)
- Abstract
- The evaluation of the physical conditions of a hollow metal cylindrical structure is
critical in many applications, such as those involving oil or power generating
industries or water pipeline networks. Direct and internal inspection is often not
possible or highly costly in terms of time and inspection tools. We present here
a guided waves-based technique whose particularity is to detect and to quantify
a circular anomaly inside a hollow metal cylindrical structure, while being
deployed. The technique requires only one measurement point to obtain
information on remote sections that are hundreds of metres apart. Radar
equipment sends an electromagnetic wave through an open end of the structure
and it receives the backscattered field, which is produced by variations of the
internal hollow structure radius (deformations, welding joints, etc.). We derive
the link between the recorded signal, which carries information on amplitude
and propagation time, the circular anomalies parameters, defined by
the percent radial reduction, rap, and the deformation length, la, avoiding the
complications of the most classification algorithms. The anomaly identification
is obtained through an inversion procedure that performs well with both the
synthetic and real data. In the latter case, the estimated parameters of a given
anomaly ( ^rap ¼4.9%, ^ la ¼3.85 m) are in good agreement with the actual ones
(rap¼5%, la¼3 m). (literal)
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