Imperial College London

DrLorenzoMacorini

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Reader in Structural Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6078l.macorini

 
 
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Assistant

 

Ms Ruth Bello +44 (0)20 7594 6040

 
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Location

 

325Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Chisari:2018,
author = {Chisari, C and Macorini, L and Izzuddin, BA and Amadio, C},
pages = {1732--1745},
title = {Experimental-numerical strategies for the calibration of detailed masonry models},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - © 2018 The International Masonry Society (IMS). Detailed mesoscale models enable realistic response predictions of masonry structures subjected to different loading conditions. The accuracy of the numerical predictions strongly depends upon the calibration of the model material parameters, which is usually conducted at the level of masonry constituents. However, especially for existing structures testing of individual components can be difficult or unreliable. In this work, an innovative approach for the calibration of a mesoscale masonry representation is proposed. It is based on the inverse analysis of the results of physical in situ tests performed using an innovative setup with flat-jacks. The post-processing inverse procedure comprises (i) metamodeling as a replacement of expensive nonlinear simulations, (ii) sensitivity analysis to reduce the parameters to identify to those which effectively control the recorded response, and (iii) optimisation by means of Genetic Algorithms to find the best fitting model parameter set. The potential of the proposed calibration procedure is shown considering the response of masonry components tested in laboratory following the proposed in-situ test.
AU - Chisari,C
AU - Macorini,L
AU - Izzuddin,BA
AU - Amadio,C
EP - 1745
PY - 2018///
SP - 1732
TI - Experimental-numerical strategies for the calibration of detailed masonry models
ER -