DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2014-09-04 - Colloque/Article dans les actes avec comité de lecture - Anglais - 13 page(s)

Isebaert Aurélie, VanParys Laurent , Laplume David , Leoskool Laurent, Descamps Thierry , "Compatible intervention on stone systems: an optimization problem." in 12th International Conference on Computational Structures Technology, Naples, Italy, 2014

  • Codes CREF : Programmation et méthodes de simulation (DI4317), Connaissance des matériaux (DI2111), Technologie de la conservation (DI2840)
  • Unités de recherche UMONS : Sciences et Techniques de Construction (A540), Génie civil et Mécanique des Structures (F801)
  • Instituts UMONS : Institut de Recherche en Science et Ingénierie des Matériaux (Matériaux)
  • Centres UMONS : Urbanisation Revitalisation Bâtiment Architecture Innovations Espaces (URBAINE)

Abstract(s) :

(Anglais) 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.

Identifiants :
  • DOI : 10.4203/ccp.106.108

Mots-clés :
  • (Anglais) Genetic algorithm
  • (Anglais) Masonry
  • (Anglais) Restoration
  • (Anglais) NSGA II
  • (Anglais) Mortar compatibility