Concrete building, monitoring data and Bayesian epistemology

Matteo Pozzi, Branko Glisic, Daniele Zonta, Daniele Inaudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An important challenge for widespread application of structural health monitoring (SHM) in civil engineering is the creation and implementation of algorithms for automatic and reliable detection of unusual structural behavior. Branko, the lead role and the second author of this paper has been in charge of data analysis of a 19-storey tall building. Observation of the data from the instrumentation has over the years, convinced Branko that there is an ongoing differential settlement of one of the base columns, in apparent contrast with his initial expectations. This conclusion matured gradually not only as a consequence of the monitoring results, but also based on verbal information received from a design engineer. Thus, besides the quantitative data provided by the monitoring system, including in the data analysis algorithms the engineer's knowledge and experience has also been of value. In this study we propose an approach based on Bayesian logic as an effective tool to allow such a blend of field knowledge and SHM results. We show how the whole cognitive process followed by Branko can be suitably reproduced using Bayesian logic. In particular, we discuss to what extent the prior knowledge and potential evidence from inspection, can alter a perception of building behavior based on SHM data alone.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring Technologies 2011 - Held at the ACI Fall 2011 Convention
PublisherAmerican Concrete Institute
Pages101-112
Number of pages12
Edition292 SP
ISBN (Print)9781632663214
StatePublished - Jan 1 2011
EventStructural Health Monitoring Technologies 2011 at the ACI Fall 2011 Convention - Cincinnati, OH, United States
Duration: Oct 16 2011Oct 20 2011

Publication series

NameAmerican Concrete Institute, ACI Special Publication
Number292 SP
ISSN (Print)0193-2527

Other

OtherStructural Health Monitoring Technologies 2011 at the ACI Fall 2011 Convention
CountryUnited States
CityCincinnati, OH
Period10/16/1110/20/11

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

Keywords

  • Bayesian logic
  • Building monitoring
  • Damage detection
  • Fiber optic sensors
  • Structural health monitoring

Fingerprint Dive into the research topics of 'Concrete building, monitoring data and Bayesian epistemology'. Together they form a unique fingerprint.

Cite this