Quantifying the effect of geometric uncertainty on the structural behaviour of arches developed from direct measurement and Structure-from-Motion (SfM) photogrammetry

Kassotakis, N; Sarhosis, Vasilis; Peppa, M. V.; Mills, J. P.

doi:10.1016/j.engstruct.2020.111710

Cited by 15 publications

(5 citation statements)

References 63 publications

(93 reference statements)

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“…the discrete elements method remains the most used calculation tool for the simulation of the various phenomena that appear during the handling of granular materials [14][15][16][17][18][19][20][21]. In the literature, and up to today, we have found three principal approaches used in the simulationt of problems of granular systems: the Monte Carlo approach [22][23][24][25][26][27], the cellular automation approach [28][29][30][31] and the DEM approache [32][33][34].The cell automation method and the Monte Carlo approaches have enabled the simulation of problems related to granular materials by taking into account only the geometric and statistical aspect, but without considering the real mechanical interactions between grains.. In contrast, the DEM method takes into account the interaction between particles by introducing different contact models.…”

Section: Introductionmentioning

confidence: 99%

“…Some properties are easily measured while others remain very difficult, depending on the size of the grains. Almost all attempts have been made at the millimetre level or above [32,33]. Although the values are being directly measured with a certain precision, this does not automatically imply that the DEM model will have the same level of precision at the global level [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

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DEM models Calibration and Application to Simulate the Phosphate Ore Clogging

Nasr-Eddine¹,

Mohamed²,

Abdelmajid³

et al. 2022

Adv. sci. technol. eng. syst. j.

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In different areas of industry (mining, food processing, pharmaceutical, manufacturing...), the problem of grain, aggregate and clusters flow arises during the handling activities especially loading and unloading. Thus, the study and control of the parameters that govern the flow of the granular medium and its interaction with its environment are key parameters to achieve the desired operational excellence and performance of these activities. The adhesion of granular materials on various surfaces of equipments (trucks surfaces, hoppers, silos…) is one of the major problems facing mining companies. In this paper we presented the Calibration of the Discrete Element Method (DEM) parameters for modeling phosphate ore built on the identification of the repose angle. This will help us to specify the correct inputs parameters that will be introduced for the modeling of adhesion phenomena. First we introduced the model contact which allow us to well define contact between phosphate particles-particles (or clusters-clusters) and phosphate particles (clusters) with tipper surface taking into consideration the cohesive and plastic nature of the contact.Secondly, we presented a calibration method based on the determination of the repose angle of the phosphate ore. This method allowed us, using fractional factorial designs and Box Behnken designs, to determine the optimal parameters for a more accurate simulation. Thirdly, we studied the impact of particle velocities on the tipper surface during charging and discharging of phosphate ore. This study allowed us to predict the areas most affected by the abrasion-erosion phenomenon caused by the impact of particles on the tipper surface. This calibration method allowed us to identify the optimal values for the key parameters that will be used later in the modelling of the phosphate clogging phenomenon on the surfaces of transport truck tippers in the mines.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

DEM models Calibration and Application to Simulate the Phosphate Ore Clogging

Nasr-Eddine¹,

Mohamed²,

Abdelmajid³

et al. 2022

Adv. sci. technol. eng. syst. j.

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“…Currently, there have been a lot of vision-based technologies applied to masonry arches due to the advantages of simplicity and flexibility [6]. For example, photogrammetry has been applied to collect geometric information and damage distributions of existing buildings [7][8][9][10][11]; and Digital Image Correlation (DIC) has been adopted in laboratories to map full-field displacement, strain and further cracks in masonry structures [12][13][14]. Naturally, when trying to obtain more refined results, the costs of the measurement and post-processing increase, resulting in uneconomical projects.…”

Section: Introductionmentioning

confidence: 99%

Interactive software for mapping concentrated displacements in masonry arches

Yuan

Stockdale²

2022

SoftwareX

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“…Due to the limitation of human knowledge capacity in the manufacturing process, there are uncertainties in material properties, boundaries and initial conditions in engineering cases (Hariri-Ardebili and Sudret, 2020). According to Sofi et al (2019) and Kassotakis et al (2021), uncertainties may significantly influence the model parameters, such as model geometry and material properties, which may dramatically impact any engineering system's performance. These uncertainties are random phenomena; thus, a deterministic solution cannot predict a structure's exact lifespan.…”

Section: Introductionmentioning

confidence: 99%

“…According to Sofi et al. (2019) and Kassotakis et al. (2021), uncertainties may significantly influence the model parameters, such as model geometry and material properties, which may dramatically impact any engineering system's performance.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation

Suffian

Kamil²,

Ariffin³

2022

IJSI

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PurposeAdvanced computational methods help to solve complex engineering problems via finite-element simulation. However, uncertainties during the process occurred due to the nature of geometry, material properties, loading, and boundary conditions. These inaccuracies affect the accuracy of results obtained from the analysis. This paper aims to analyse the uncertainty parameters of a finite element model in Excel-Visual Basic Application (VBA) by applying a random simulation method.Design/methodology/approachThis study focuses on a finite element model with a different mesh. Young's Modulus, E, Poisson's ratio, and load, L are the uncertainty input parameters considered random variables.FindingsResults obtained proved that the finite element model with the most nodes and elements has better solution convergence.Originality/valueRandom simulation method is a tool to perform uncertainty analysis of a finite element model.

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Quantifying the effect of geometric uncertainty on the structural behaviour of arches developed from direct measurement and Structure-from-Motion (SfM) photogrammetry

Cited by 15 publications

References 63 publications

DEM models Calibration and Application to Simulate the Phosphate Ore Clogging

DEM models Calibration and Application to Simulate the Phosphate Ore Clogging

Interactive software for mapping concentrated displacements in masonry arches

Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation

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