Rockfall precursor detection based on rock fracturing monitoring by means of optical fibre sensors (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Rockfall precursor detection based on rock fracturing monitoring by means of optical fibre sensors (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1504/IJSMSS.2013.056482 (literal)

Alternative label

• Luca Schenato, Luca Palmieri, Elena Autizi, Fabio Calzavara, Leonardo Vianello, Giordano Teza, Gianluca Marcato, Raffaele Sassi, Alessandro Pasuto, Antonio Galgaro, Andrea Galtarossa (2013)
  Rockfall precursor detection based on rock fracturing monitoring by means of optical fibre sensors
  in International journal of sustainable materials and structural systems (Online)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Luca Schenato, Luca Palmieri, Elena Autizi, Fabio Calzavara, Leonardo Vianello, Giordano Teza, Gianluca Marcato, Raffaele Sassi, Alessandro Pasuto, Antonio Galgaro, Andrea Galtarossa (literal)

Pagina inizio

• 123 (literal)

Pagina fine

• 141 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.inderscience.com/info/inarticle.php?artid=56482 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 1 (literal)

Rivista

• International journal of sustainable materials and structural systems (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 19 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 2 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Research Institute for Geo-Hydrological Protection, National Research Council Department of Information Engineering, University of Padova Department of Geosciences, University of Padova (literal)

Titolo

• Rockfall precursor detection based on rock fracturing monitoring by means of optical fibre sensors (literal)

Abstract

• The monitoring of the acoustic emissions (AEs) due to rock fracturing allows the detection of the rockfall precursor signals, leading to a strong improvement of the real time assessment of the induced risk. A network of piezoelectric sensors (PZTs) provides reliable AE data, as testified by a series of applications in non-destructive testing, but PZTs are strongly affected by lightings and electromagnetic interference. In order to avoid such PZT drawbacks and limitations and therefore to allow the rock fracturing monitoring in unstable slopes, two FOS architectures (referred to as fibre coil sensor and ferrule top cantilever) have been recently proposed in previous works from the same authors. In this paper, the two sensors are tested in a more realistic scenario, by monitoring AE in a rock block in which crack is induced by highly expansive mortar; complementary activities, mainly aimed at the recognition of the type of expected signals and optimisation of the sensor array in the framework of the monitoring system, are also described here. (literal)

Prodotto di

• Istituto di ricerca per la protezione idrogeologica (IRPI) (Istituto)

Autore CNR

• ALESSANDRO PASUTO (Persona)
• GIANLUCA MARCATO (Persona)
• LUCA SCHENATO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Rockfall precursor detection based on rock fracturing monitoring by means of optical fibre sensors" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di ricerca per la protezione idrogeologica (IRPI) (Istituto)

Autore CNR di

• ALESSANDRO PASUTO (Persona)
• LUCA SCHENATO (Unità di personale interno)
• GIANLUCA MARCATO (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• International journal of sustainable materials and structural systems (Rivista)

Insieme di parole chiave di

• Keywords of "Rockfall precursor detection based on rock fracturing monitoring by means of optical fibre sensors" (Insieme di parole chiave)