Multi-Scale Modelling of Particulate Composite †
Abstract
:1. Introduction
2. Background
2.1. Cenospheres
2.1.1. Morphology
2.1.2. Chemical Composition
2.1.3. Properties and Applications
2.2. Random Sequential Adsorption (RSA)
2.3. Representative Volume Element (RVE)
3. Research Gap
- The microstructural characteristic of such composites is not well understood. Multi-scale modelling that allows for exploring and developing this heterogeneous material is not found in the literature.
- An FE model to investigate the cenospheres interaction with the surrounding medium, the particle fracture and the damage evolution of the composite.
- The lightweight properties of these composites could be exploited in an application where dynamic loading is present, such as structures built on active seismic zones, wind loads on aeroplanes, dynamic loads due to waves on ships and ship motions, or impact loads if ships or a marine structure are hit by obstacles. Nevertheless, research on cenosphere composites under any form of dynamic loading is very scarce.
4. Objectives
- To develop an algorithm in MATLAB to simulate the random sequential adsorption (RSA) of cenospheres in a 2D and 3D representative volume element (RVE).
- To develop a finite element model to simulate the RVE with periodic boundary conditions using ABAQUS and Python scripting.
- To validate the FE model by implementing a laboratory test on a cenosphere composite material within an acceptable margin of error. The laboratory tests include uniaxial tests and compressive strength tests to find the two elastic parameters: young’s modulus E and Poisson’s ratio v.
- To use the validated FE model for research applications that help in understanding and developing this composite material.
- To investigate the interaction between the cenosphere particles and the surrounding medium, and the damage evolution of the composite.
- To study the effect of cenosphere composites under dynamic and impact loading.
- To optimize the proportion of cenospheres in the matrix for maximum property performance.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Elbana, A.; Khennane, A.; Al-Deen, S.; Junaid, M.T. Multi-Scale Modelling of Particulate Composite. Environ. Sci. Proc. 2021, 12, 23. https://doi.org/10.3390/environsciproc2021012023
Elbana A, Khennane A, Al-Deen S, Junaid MT. Multi-Scale Modelling of Particulate Composite. Environmental Sciences Proceedings. 2021; 12(1):23. https://doi.org/10.3390/environsciproc2021012023
Chicago/Turabian StyleElbana, Abdalla, Amar Khennane, Safat Al-Deen, and Muhammad Talha Junaid. 2021. "Multi-Scale Modelling of Particulate Composite" Environmental Sciences Proceedings 12, no. 1: 23. https://doi.org/10.3390/environsciproc2021012023
APA StyleElbana, A., Khennane, A., Al-Deen, S., & Junaid, M. T. (2021). Multi-Scale Modelling of Particulate Composite. Environmental Sciences Proceedings, 12(1), 23. https://doi.org/10.3390/environsciproc2021012023