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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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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	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 doi:10.4203/ccp.106.108 purchase the full-text of this paper 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. 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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