Non-destructive method of the assessment of stone masonry by artificial neural networks

R Martini, J Carvalho, A Arêde… - The Open Construction & …, 2020 - benthamopen.com
Background: In this study, a methodology based on non-destructive tests was used to
characterize historical masonry and later to obtain information regarding the mechanical …

Validation of nondestructive methods for assessing stone masonry using artificial neural networks

R Martini, J Carvalho, A Arêde, H Varum - Journal of Building Engineering, 2021 - Elsevier
The aim of this study is to deepen the technical and scientific knowledge related to the
characterization of granite masonry based on geophysical tests, mechanical techniques …

Advances on the use of non-destructive techniques for mechanical characterization of stone masonry: GPR and sonic tests

R Martini, J Carvalho, N Barraca, A Arêde… - Procedia Structural …, 2017 - Elsevier
The main aim of the present work is to use NDT (non-destructive test) for characterization of
stone masonry and obtaining information regarding the related mechanical parameters. Due …

Artificial neural network implementation for masonry compressive strength estimation

S Carozza, M Cimmino - Proceedings of the Institution of Civil …, 2020 - icevirtuallibrary.com
An artificial neural network (ANN) implementation for the estimation of masonry compressive
strength is presented. A heterogeneous sample is considered, including brick or stone …

The prediction of brick wall strengths with artificial neural networks model

A Demir, AA Kumanlioglu - AIP Conference Proceedings, 2017 - pubs.aip.org
The aim of this study is to predict with Artificial Neural Networks (ANN) shear strength of
brick masonry walls. Shear strength of the walls is determined with diagonal shear tests. It is …

A method of the neural identification of the moisture content in brick walls of historic buildings on the basis of non-destructive tests

A Hoła, Ł Sadowski - Automation in Construction, 2019 - Elsevier
The article proposes a method of neural identification of the moisture content in saline brick
walls in historic buildings, which is based on non-destructive testing. The method involves …

Testing methods for the assessment of material properties in historical masonry structures: a review

M Barnaure, M Cincu - IOP conference series: materials science …, 2020 - iopscience.iop.org
The current state of testing methods for assessing the mechanical properties of old masonry
buildings is reviewed, with a focus on the methods adapted for heritage structures. For these …

Sonic and impact test for structural assessment of historical masonry

A Grazzini - Applied Sciences, 2019 - mdpi.com
Featured Application Non-destructive diagnostic techniques for historical masonry buildings
by the correlation of sonic and impact tests. Abstract Diagnostics is a very important tool of …

[PDF][PDF] Non-destructive in situ identification of the moisture content in saline brick walls using artificial neural networks

A Hoła, Ł Sadowski - Proceedings of the Creative …, 2019 - repozitorium.omikk.bme.hu
The article proposes a method of neuron identification of the moisture content in saline brick
walls of historic buildings, carried out on the basis of non-destructive testing. The method is …

[PDF][PDF] Assessment of the stability conditions of an ancient stone masonry tower

G Vasconcelos, FM Fernandes, C Alves… - … and Rehabilitation of …, 2014 - researchgate.net
One of the major challenges in the scope of rehabilitation and repair of existing structures is
the inspection and analysis of the stability conditions, which includes the detection of the …