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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by:
Paper 108

Compatible Interventions for Stone Systems: An Optimization Problem

A. Isebaert, L. Van Parys, D. Laplume, L. Leoskool and T. Descamps

Research Institute for Materials Science and Engineering, University of Mons, Belgium

Full Bibliographic Reference for this paper
A. Isebaert, L. Van Parys, D. Laplume, L. Leoskool, T. Descamps, "Compatible Interventions for Stone Systems: An Optimization Problem", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 108, 2014. doi:10.4203/ccp.106.108
Keywords: masonry, restoration, mortar compatibility, genetic algorithm, NSGA II..

Summary
In order to keep our architectural built heritage in a good condition, restoration interventions have to be executed. Hereby, specific mortars are used to fill in joints or missing parts of stone facades. It is the development of these mortars that can be optimized since, currently, the design of these mortars is based on experience and trial-and-error and the mortars might not fulfil the demands. Previous studies already established what these demands should be, and in which order these demands can be ranked preferentially. In this paper, the authors discuss a theoretical method to design compatible restoration mortars by treating it as a multi-objective optimization problem. After determining the objective functions and the constraints, the approach was fixed as a stochastic discrete approach. The NSGA II algorithm was found suitable for the optimization, in which each individual represents a raw mortar mix. Based on published literature, investigations have been initiated for the practical evaluation of concerned objective functions with significant successes despite some difficulties still to be overcome in the mathematical prediction of migration aspects.

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