Assessment of the elastic properties of high-fired gypsum using the digital image correlation method

Corrochano, Cristina Mayo; Sánchez-Aparicio, Luis Javier; Aira, J. R.; Araúz, David Sanz; Moreno, E.; Melo, Javier Pinilla

doi:10.1016/j.conbuildmat.2021.125945

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…Most previous DIC studies performed to characterize geomaterials focused on kinematic effects associated with various experimental conditions [19][20][21][22], including grain morphology, stiffness, strength, sample preparation, and effect of boundary conditions [18,23]. The combined effects of these control parameters led to varying experimental responses even under the same experimental conditions, which motivated populating a comprehensive database that would explore the combined impact of all aforementioned properties, making available both global and local deformation effects, as well as its uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models

Medina-Cetina

Song²,

Zhu

et al. 2022

Materials

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A comprehensive experimental database containing results of a series of dry vacuum-consolidated triaxial compression tests was populated. The tests were performed on sand specimens and conducted under similar experimental conditions, in which specimens’ boundary deformation was captured using a three-dimensional digital image correlation analysis (3D-DIC). The use of a standard triaxial device along with the 3D-DIC technology allowed the specimens’ global and local boundary displacement fields to be computed from start to end of the compression phase. By repeating each test under the same experimental conditions and building the specimens using the same type of sand, the boundary deformation patterns could be identified, and the statistics associated with both global and local displacement fields could be assessed. Making this experimental database available to others should serve to calibrate as well as develop new forward models to account for effects associated with the specimens’ local displacements and material heterogeneity and include statistics to represent a specimen’s random response. Moreover, this work will serve as a basis for the statistical characterization of spatio-temporal boundary localization effects used to develop stochastic models and machine-learning models, and simulate virtual triaxial tests.

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Section: Introductionmentioning

confidence: 99%

Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models

Medina-Cetina

Song²,

Zhu

et al. 2022

Materials

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“…DIC has a better performance compared to Linear Variable Differential Transformer (LVDT) sensors and strain gauges that can extract only values at a single point. The DIC method has gained significant popularity in recent years, and various studies have been performed using this technique, [32][33][34][35][36][37] as it can update the FEM in a more efficient way. The DIC method obtains the amount of displacement and strain of the desired surface by comparing the images taken from the specimen, before and after the deformation.…”

Section: Introductionmentioning

confidence: 99%

Performance assessment of steel cantilever beams based on connection behaviour using DIC technique and improved hybrid PSO algorithm

Khaloo

Amirahmadi

2023

Structural Health Monitoring

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Cantilever beams can have various behaviour depending on the details of the connection. Partially-fixed connections have a different performance from conventionally-fixed connections, in which the exact information is not available. In this paper, using the finite element model updating (FEMU) of a steel cantilever beam, the support conditions of a partially-fixed connection and the behaviour of the beam are investigated. The FEMU is utilized as an appropriate technique for structural health monitoring, which requires the use of data acquisition methods from the structure. In this research, instead of using discrete sensors, displacement and strain information are continuously measured from the beam surface using the digital image correlation (DIC) method. The difference between the initial model and the data extracted from the DIC is determined by a cost function. A hybrid method called Powell particle swarm optimization is used to minimize the cost function. This method includes particle swarm optimization (PSO) as a global search technique and Powell optimization as a local search technique; the hybrid method achieves better performance by combining the two methods. A dynamic inertia weight is presented to improve the performance of the PSO algorithm. Abaqus software and Python programming have been used to carry out the FEMU process. Finally, the amount of rotation and displacement of support are calculated, and the dependency of beam behaviour on each of the variables is investigated. This method yields acceptable convergence of the results and can be extended to study other structural components.

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Physical-mechanical properties of new recycled materials with additions of padel-tennis ball waste

Aybar

Porras-Amores

Moreno

et al. 2023

Journal of Cleaner Production

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Assessment of the elastic properties of high-fired gypsum using the digital image correlation method

Cited by 8 publications

References 34 publications

Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models

Global and Local Deformation Effects of Dry Vacuum-Consolidated Triaxial Compression Tests on Sand Specimens: Making a Database Available for the Calibration and Development of Forward Models

Performance assessment of steel cantilever beams based on connection behaviour using DIC technique and improved hybrid PSO algorithm

Physical-mechanical properties of new recycled materials with additions of padel-tennis ball waste

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