A Macro Modelling Blind Prediction of a Cyclic Push-Over Test on a Full Scale Masonry House

Conference paper
Part of the Springer Natural Hazards book series (SPRINGERNAT)

Abstract

Gas extraction in the Groningen region of The Netherlands has led to increasing levels of ‘induced’ seismic activity in the area over recent years. A wide ranging building assessment and strengthening programme is currently underway across the region—primarily focussing on large-scale low-rise residential developments. Delft University of Technology (TU-Delft) recently held a blind prediction test where invited participants attempted to determine the response of a full-scale structure, which is representative of a typical masonry house in the Groningen region. The test structure underwent a prescribed cyclic displacement profile. The authors participated in this blind prediction test using “ANSR”, a general purpose analysis program capable of both 2-D and 3-D static, dynamic and time domain analyses. ANSR follows a macro-modelling FEA approach where elements are modelled at a component level. This paper describes how ANSR was used to predict the behaviour of the test structure during the simulated seismic event. It also explores the selection of material properties and their influence on the theoretical performance of the structure. Lastly, the paper describes the benefits of macro-modelling as a viable and cost-effective procedure for undertaking building assessment, particularly where timeframes and accuracy of results are both critical.

Keywords

Induced seismicity ANSR Netherlands Calcium silicate 

Notes

Acknowledgements

The authors would like to acknowledge TU-Delft for the opportunity to participate in this blind prediction competition and present our entry and post-prediction.

References

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Holmes ConsultingGroningenThe Netherlands

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