A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Calibration of wall effects in mesostructure modelling of concrete using marker-controlled watershed segmentation
https://orcid.org/0000-0002-9814-834X
https://orcid.org/0000-0001-9348-1226
Highlights Consideration of wall effect on the geometric modelling of concrete mesostructured. Relationships for wall effect modelling based on simulations and theory. Definition of a procedure to identify particles and evaluate wall effects. Analysis of images of slices to identify particles. Generation and validation of numerical mesostructures with accurate wall effects.
Abstract This paper proposes formulae for refined models that account for wall effects when modelling the geometric mesostructure of concrete. The wall effect should be taken into account in the mesostructure modelling of concrete since it affects the spatial distribution and packing of aggregates within concrete elements. However, scarce research has focused on the calibration of the wall effect in geometric modelling. Measurements on sections of real specimens using the marker-controlled watershed segmentation (MCWS) method are used to accurately identify aggregate particles from digital images and these data are used to calibrate and validate the proposed formulae. The distance and diameters of aggregates relevant to wall effect were obtained and a distribution factor γ that can control the minimum gaps surrounding the particles was calibrated. A demonstrative application of the refined wall effect model shows that the mesostructure modelled agrees well with the experimental data.
Calibration of wall effects in mesostructure modelling of concrete using marker-controlled watershed segmentation
https://orcid.org/0000-0002-9814-834X
https://orcid.org/0000-0001-9348-1226
Highlights Consideration of wall effect on the geometric modelling of concrete mesostructured. Relationships for wall effect modelling based on simulations and theory. Definition of a procedure to identify particles and evaluate wall effects. Analysis of images of slices to identify particles. Generation and validation of numerical mesostructures with accurate wall effects.
Abstract This paper proposes formulae for refined models that account for wall effects when modelling the geometric mesostructure of concrete. The wall effect should be taken into account in the mesostructure modelling of concrete since it affects the spatial distribution and packing of aggregates within concrete elements. However, scarce research has focused on the calibration of the wall effect in geometric modelling. Measurements on sections of real specimens using the marker-controlled watershed segmentation (MCWS) method are used to accurately identify aggregate particles from digital images and these data are used to calibrate and validate the proposed formulae. The distance and diameters of aggregates relevant to wall effect were obtained and a distribution factor γ that can control the minimum gaps surrounding the particles was calibrated. A demonstrative application of the refined wall effect model shows that the mesostructure modelled agrees well with the experimental data.
Calibration of wall effects in mesostructure modelling of concrete using marker-controlled watershed segmentation
https://orcid.org/0000-0002-9814-834X
https://orcid.org/0000-0001-9348-1226
Highlights Consideration of wall effect on the geometric modelling of concrete mesostructured. Relationships for wall effect modelling based on simulations and theory. Definition of a procedure to identify particles and evaluate wall effects. Analysis of images of slices to identify particles. Generation and validation of numerical mesostructures with accurate wall effects.
Abstract This paper proposes formulae for refined models that account for wall effects when modelling the geometric mesostructure of concrete. The wall effect should be taken into account in the mesostructure modelling of concrete since it affects the spatial distribution and packing of aggregates within concrete elements. However, scarce research has focused on the calibration of the wall effect in geometric modelling. Measurements on sections of real specimens using the marker-controlled watershed segmentation (MCWS) method are used to accurately identify aggregate particles from digital images and these data are used to calibrate and validate the proposed formulae. The distance and diameters of aggregates relevant to wall effect were obtained and a distribution factor γ that can control the minimum gaps surrounding the particles was calibrated. A demonstrative application of the refined wall effect model shows that the mesostructure modelled agrees well with the experimental data.
Calibration of wall effects in mesostructure modelling of concrete using marker-controlled watershed segmentation
Ren, Qifan (author) / Pacheco, João (author) / de Brito, Jorge (author)
2023-07-12
Article (Journal)
Electronic Resource
English
Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images
| Online Contents | 2015
Towards a model of concrete mesostructure
| Online Contents | 2001
| British Library Online Contents | 2013