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Multi-technique approach for the assessment of historical masonry constructions

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Resumo:In this paper the NDTs research project is briefly described. This project aims at developing and improving several nondestructive techniques typically used in masonry diagnosis. So far, a new acquisition system based on sonic measurements, a geoelectric prototype to perform tomographic measurements of the cross-section of masonry elements and a new type of flat-jack test, the tube-jack, were developed. Finally, the project aims at merging the data of these improved techniques with existing ones in order to produce a better diagnosis of these structures. The initial results of the case study of S. Torcato’s church is illustrated here to show the potential of these methods and the quality of the information that can be derived from the merging of the data obtained through different methodologies
Autores principais:Fernandes, Francisco Manuel Carvalho Pinto
Outros Autores:Ramos, Luís F.; Manning, Elizabeth Campbell; Ferreira, João Amaro Oliveira; Mendes, P. M.
Assunto:Nondestructive techniques Geoelectrics Sonic testing Tomography Masonry Flat-jack Tube-jack Georadar Mechanical properties Geometry ND Testing
Ano:2013
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:In this paper the NDTs research project is briefly described. This project aims at developing and improving several nondestructive techniques typically used in masonry diagnosis. So far, a new acquisition system based on sonic measurements, a geoelectric prototype to perform tomographic measurements of the cross-section of masonry elements and a new type of flat-jack test, the tube-jack, were developed. Finally, the project aims at merging the data of these improved techniques with existing ones in order to produce a better diagnosis of these structures. The initial results of the case study of S. Torcato’s church is illustrated here to show the potential of these methods and the quality of the information that can be derived from the merging of the data obtained through different methodologies