Analysis of lifespan monitoring data using Bayesian logic

M. Pozzi, B. Glisic, D. Zonta, D. Inaudi, J. M. Lau, C. C. Fong

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In this contribution, we use a Bayesian approach to analyze the data from a 19-storey building block, which is part of the Punggol EC26 construction project undertaken by the Singapore Housing and Development Board in the early 2000s. The building was instrumented during construction with interferometric fiber optic average strain sensors, embedded in ten of the first story columns during construction. The philosophy driving the design of the monitoring system was to instrument a representative number of structural elements, while maintaining the cost at a reasonable level. The analysis of the data, along with prior experience, allowed the engineer to recognize at early stage an ongoing differential settlement of one base column. We show how the whole cognitive process followed by the engineer can be reproduced using Bayesian logic. Particularly, we discuss to what extent the prior knowledge and potential evidence from inspection, can alter the perception of the building response based solely on instrumental data.

Original languageEnglish (US)
Article number012115
JournalJournal of Physics: Conference Series
Issue number1
StatePublished - 2011

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


Dive into the research topics of 'Analysis of lifespan monitoring data using Bayesian logic'. Together they form a unique fingerprint.

Cite this