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Keywords: inverse analysis, unreinforced masonry, mesoscale model, genetic algorithms, interface elements, in-situ test, noise analysis.

Summary

Unreinforced brick/block masonry (URM) has been used for centuries as an effective building material. However, the response of URM is very complex because of its inherent heterogeneity and nonlinear behaviour, which is governed by the interaction between units and mortar. Mesoscale modelling, though computationally demanding, can provide a very good representation of the actual structural response when using adequate mechanical parameters for URM component materials. These can be obtained using numerical calibration based on the results of experimental tests. In this paper, inverse analysis techniques utilising genetic algorithms are employed to calibrate material parameters of an advanced nonlinear mesoscale description, which uses zero-thickness interfaces for representing mortar joints. In particular, the elastic material parameters of mortar interfaces are derived from measurements at the macroscale. In order to apply this procedure to in-situ non-destructive tests, a non-conventional flat-jack test setup has been investigated. The potential and limitations of the proposed method are assessed using computer-generated pseudo-experimental data, where modelling errors are ruled out. Sensitivity and random noise analysis are performed to evaluate the influence of the precision of the measurement equipment employed in the tests.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 102 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: Paper 70 Identification of Brick-Masonry Material Properties Through Inverse Analysis and Genetic Algorithms C. Chisari¹, L. Macorini², C. Amadio¹ and B.A. Izzuddin² ¹Department of Engineering and Architecture University of Trieste, Italy ²Department of Civil and Environmental Engineering Imperial College, London, United Kingdom doi:10.4203/ccp.102.70 purchase the full-text of this paper Full Bibliographic Reference for this paper C. Chisari, L. Macorini, C. Amadio, B.A. Izzuddin, "Identification of Brick-Masonry Material Properties Through Inverse Analysis and Genetic Algorithms", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 70, 2013. doi:10.4203/ccp.102.70 Keywords: inverse analysis, unreinforced masonry, mesoscale model, genetic algorithms, interface elements, in-situ test, noise analysis. Summary Unreinforced brick/block masonry (URM) has been used for centuries as an effective building material. However, the response of URM is very complex because of its inherent heterogeneity and nonlinear behaviour, which is governed by the interaction between units and mortar. Mesoscale modelling, though computationally demanding, can provide a very good representation of the actual structural response when using adequate mechanical parameters for URM component materials. These can be obtained using numerical calibration based on the results of experimental tests. In this paper, inverse analysis techniques utilising genetic algorithms are employed to calibrate material parameters of an advanced nonlinear mesoscale description, which uses zero-thickness interfaces for representing mortar joints. In particular, the elastic material parameters of mortar interfaces are derived from measurements at the macroscale. In order to apply this procedure to in-situ non-destructive tests, a non-conventional flat-jack test setup has been investigated. The potential and limitations of the proposed method are assessed using computer-generated pseudo-experimental data, where modelling errors are ruled out. Sensitivity and random noise analysis are performed to evaluate the influence of the precision of the measurement equipment employed in the tests. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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