The effect of uncertainty on the Prediction of building damage due to tunnelling-induced settlement

J. A. Clarke, E. Moradabadi, D. F. Laefer

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

Abstract

Prediction of the response of buildings to tunnelling-induced settlement for the extent of a tunnel route is a complex task due to the heterogeneous nature of ground conditions, variable tunnelling operations, and unknown building parameters. Consequently, there are generally uncertainties associated with building damage predictions. This paper presents a probabilistic numerical methodology to investigate the effect of uncertainties for the damage prediction of masonry buildings due to tunnelling-induced settlement. The methodology is employed to provide a Class CI prediction for a previously documented case history. The results demonstrate the uncertainties that have a significant influence in terms of the building response prediction and, furthermore, provide a quantitative risk assessment for masonry buildings due to nearby tunnelling.

Original languageEnglish (US)
Title of host publicationParameter Selection and Monitoring; Developments in Education and Practice
EditorsDerek M. Smith, Mike G. Winter, Peter J.L. Eldred, Peter J.L. Eldred, Mike G. Winter, David G. Toll
PublisherICE Publishing
Pages4135-4141
Number of pages7
ISBN (Electronic)9780727760678
StatePublished - 2015
Event16th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2015 - Edinburgh, United Kingdom
Duration: Sep 13 2015Sep 17 2015

Publication series

NameGeotechnical Engineering for Infrastructure and Development - Proceedings of the XVI European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2015
Volume7

Other

Other16th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2015
Country/TerritoryUnited Kingdom
CityEdinburgh
Period9/13/159/17/15

ASJC Scopus subject areas

  • Soil Science
  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

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