Foreword

Daniele Zonta, Branko Glisic

Research output: Contribution to journalEditorial

Abstract

Structural health monitoring aims to understand the condition of a structure based on sensor measurements, which are typically affected by noise and errors. Similarly, the relationship between observations and structural state is often nondeterministic. Key questions are how to provide a reliable and robust diagnosis, properly accounting for uncertainties, and how to bridge the gap between the data acquisition and decision making on such issues as structural maintenance, repair and replacement. The goal of this special issue is to gather together civil SHM cases where complex uncertainty problems have been successfully solved using probabilistic data interpretation methods. The six papers in this special issue do not require extraneous elucidation.
Original languageEnglish
Pages (from-to)251
Number of pages1
JournalJournal of Civil Structural Health Monitoring
Volume5
Issue number3
Early online date10 Jun 2015
DOIs
Publication statusPublished - 11 Jul 2015

Fingerprint

Structural health monitoring
Data acquisition
Repair
Decision making
Sensors
Uncertainty

Keywords

  • structural health monitoring
  • structural maintenance
  • reliability assessment

Cite this

Zonta, Daniele ; Glisic, Branko. / Foreword. In: Journal of Civil Structural Health Monitoring. 2015 ; Vol. 5, No. 3. pp. 251.
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Foreword. / Zonta, Daniele; Glisic, Branko.

In: Journal of Civil Structural Health Monitoring, Vol. 5, No. 3, 11.07.2015, p. 251.

Research output: Contribution to journalEditorial

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AU - Glisic, Branko

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