This document describes a multi-scale modeling study of the influence of porosity on the mechanical properties and fracture of Gilsocarbon graphite. The study used micro-cantilever tests to determine material properties at the microscale and developed a multi-scale model to predict properties at larger scales. The model accounted for the graphite's microstructure of matrix, filler particles, and pores. Simulation results showed decreasing mechanical properties with increasing porosity and that pore size distribution and particle-matrix interface strength significantly affect properties and crack propagation.
Mechanical and micro structural characterisation of Pure Al reinforced with S...BALA VENKATA SATYA PRAKASH
This paper deals extensively with the preparation of functionally grade material reinforced in layer wise manner with different reinforcements in order to serve the tough conditions in automobile industries
A comparative study between traditional method and mix design with industrial...Premier Publishers
Generally bituminous pavements face problems like cracks, rutting, depression and corrugation during it’s period of service. In this paper, we attempted various method of experiments both in traditional and mix design with bi products and therefore a comparative study has been made for extracting the finest results for the betterment of highway pavements (flexible) and for that our key elements were fly ash, geo-polymer and pieces of waste conveyer belt, added to bitumen for increasing the strength and overall capacity of pavements. Fly ash added to bitumen in the penetration test has shown improvement of 52 mm which was 40mm traditionally. Whereas, geo polymer and bitumen give the result of 74mm penetration. Ductility test with fly ash showed 37.23cm, very rigid. But geo-polymer and bitumen gave the result of 75.77cm. For increasing the bearing capacity of base soil we added pieces of waste conveyer belts and CBR value has shown the increment of 35% from 30%. So, those results convey that, the waste materials and bi products have enough quality to increase the strength and flexibility of pavements which will further help to the construction workers and engineers for maintaining and repairing flexible pavements which last long.
Mechanical and micro structural characterisation of Pure Al reinforced with S...BALA VENKATA SATYA PRAKASH
This paper deals extensively with the preparation of functionally grade material reinforced in layer wise manner with different reinforcements in order to serve the tough conditions in automobile industries
A comparative study between traditional method and mix design with industrial...Premier Publishers
Generally bituminous pavements face problems like cracks, rutting, depression and corrugation during it’s period of service. In this paper, we attempted various method of experiments both in traditional and mix design with bi products and therefore a comparative study has been made for extracting the finest results for the betterment of highway pavements (flexible) and for that our key elements were fly ash, geo-polymer and pieces of waste conveyer belt, added to bitumen for increasing the strength and overall capacity of pavements. Fly ash added to bitumen in the penetration test has shown improvement of 52 mm which was 40mm traditionally. Whereas, geo polymer and bitumen give the result of 74mm penetration. Ductility test with fly ash showed 37.23cm, very rigid. But geo-polymer and bitumen gave the result of 75.77cm. For increasing the bearing capacity of base soil we added pieces of waste conveyer belts and CBR value has shown the increment of 35% from 30%. So, those results convey that, the waste materials and bi products have enough quality to increase the strength and flexibility of pavements which will further help to the construction workers and engineers for maintaining and repairing flexible pavements which last long.
As catastrophic bridge collapse accidents not only cause significant loss of property, but also have a severe social impact. Therefore, the structural health monitoring of bridges for damage detection by vibration analysis gets more attention. Reinforced concrete bridges are the most common and extended structures present in the worldwide. These structures are often characterized by Piers, Abutments, deck slabs. This paper looks on the work of modelling and analysis of bridge in STAAD.Pro software, and the specific bridge model is taken of a particular span. It is subjected to vary Young’s modulus (E) in the mid span of bridge deck slab to induce damage in order to obtain maximum bending moment, as the structural strength reduces. From the analysis Mu/bd2 values from SP 16 code is used to identify the damage on the bridge deck slab, then natural frequency of the bridge, mode shapes, variation of the deflection and node displacements of bridge deck slab under the action of static and dynamic load at different aspect ratios with original design parameters and at failure is carried out in this project.
In materials science, Functionally Graded Material (FGM) may be characterized by the variation in composition and structure gradually over volume, resulting in corresponding changes in the properties of the material. The materials can be designed for specific function and applications.
Grain refinement, which is obtained by changing the size of grain structure by different techniques, is a preferred method to improve simultaneously the strength and plasticity of metallic materials.
The presentation involves "Principles of Equal-channel Angular Pressing as a processing tool for grain refinement", its applications and advantages in the field of technology and research.
Developing A Prediction Model for Tensile Elastic Modulus of Steel Fiber – Ce...IJRESJOURNAL
ABSTRACT: This paper attempts to develop a prediction model that can be used in line with prescribed laboratory experiments for indirect tensile test such that tensile elastic modulus can be predicted for cement stabilized lateritic soil reinforced with steel fiber using measured properties of the material. The results of the tensile elastic modulus obtained from the Derived Prediction Model almost nearly replicates that obtained from calculations from laboratory experimentation. Results obtained revealed that both the predicted values and calculated values have a linear correlation with an R2 of 96.4%. On this basis the Derived Prediction Model can be said to be valid within the limits of the study.
Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetr...Pouyan Fakharian
Resilient modulus (Mr) of subgrade soils is considered as one of the most important factors for designing flexible pavements using empirical methods as well as mechanistic-empirical methods. The resilient modulus is commonly measured by a dynamic triaxial loading test, which is complex and expensive. In this research, back-propagation artificial neural network method has been employed to model the resilient modulus of clayey subgrade soils based on the results of the cone penetration test. The prediction of the resilient modulus of clayey subgrade soil can be possible through the developed neural network based on the parameters of the cone tip resistance (qc), sleeve friction (fs), moisture content (w), and dry density (γd). The results of the present study show that the coefficients of determination (R2) for training and testing sets are 0.9837 and 0.9757, respectively. According to the sensitivity analysis results, the moisture content is the least important parameter to predict the resilient modulus of clayey subgrade soils, while the importance of other parameters is almost the same. In this study, the effect of different parameters on the resilient modulus of clayey subgrade soil was evaluated using parametric analysis and it was found that with increasing the cone tip resistance (qc), the sleeve friction (fs) and the dry density (γd) and also with decreasing the moisture content (w) of soils, the resilient modulus of clayey subgrade soils increases.
Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-N...Pouyan Fakharian
To provide lateral resistance in structures as well as buildings, there are some types of structural systems such as shear walls. The utilization of lateral loads occurs on a plate on the wall's vertical dimension. Conventionally, these sorts of loads are transferred to the wall collectors. There is a significant resistance between concrete shear walls and lateral seismic loading. To guarantee the building's seismic security, the shear strength of the walls has to be prognosticated by using models. This paper aims to predict shear strength by using Artificial Neural Network (ANN), Neural Network-Based Group Method of Data Handling (GMDH-NN), and Gene Expression Programming (GEP). The concrete's compressive strength, the yield strength of transverse reinforcement, the yield strength of vertical reinforcement, the axial load, the aspect ratio of the dimensions, the wall length, the thickness of the reinforced concrete shear wall, the transverse reinforcement ratio, and the vertical reinforcement ratio are the input parameters for the neural network model. And the shear strength of the reinforced concrete shear wall is considered as the target parameter of the ANN model. The results validate the capability of the models predicted by ANN, GMDH-NN, and GEP, which are suitable for use as a tool for predicting the shear strength of concrete shear walls with high accuracy.
An Investigation of the Interlayer Adhesion Strength in Deeper Layers of the ...AM Publications
A road pavement structure is typically composed of different layers arranged one on top of the other, all supported by a natural or improved subgrade. The main purpose of this configuration is to provide the most effective structure with adequate potential to spread traffic loading from the surface to the subgrade with minimum damage. In spite of material properties and construction techniques, researchers have shown that the overall pavement performance is significantly influenced by the interlayer adhesion condition throughout the pavement structure ([8], [11], [21], [22]). Lack of intimate contact between layers results in them acting as individuals rather than as a thick bonded unit. This therefore induces overloading of layers which leads to premature deterioration of the entire structure due to traffic induced distresses. This work, therefore investigated the interlayer adhesion characteristics between the granular base and the lightly cemented subbase of a typical South African pavement structure. The influence of bonding condition on the overall pavement performance was also studied. A series of interlayer direct shear tests was run on 300 x 300 mm samples made of two layers: a 100mm G2 Granular Base (GB) compacted on top of the 100mm Cement Treated Subbase (CTSB) composed of a G5 material stabilised with 1.8% of cement. Effects of the CTSB scarification, normal pressure and moisture conditions were analysed whereby the results of the interlayer strength tests were compared with those of intra-layer strength tests. The comparative analysis showed that scarifying the CTSB before laying the GB enhances intimate contact between two layers and stimulates the unison interaction which, according to structural modelling results, improves the overall pavement performance.
To ensure good adhesion between a 200 nm thick silicon dioxide layer and a 4.5 μm thick hardcoat polymeric coating, a better understanding of mechanisms of adhesion at this interface is needed. To reach this purpose, focus is placed on two axes: characterizing mechanical properties of materials composing the system and in parallel, finding an applicable and effective method to quantify adhesion. Small dimension of SiO2 thin film makes it challenging to accurately characterize it. Hence the use of both nano-indentation and AFM to attempt assessment of SiO2 thin film elastic modulus Ef; taking into account limitations and uncertainty associated with each technique. Elastic modulus of SiO2 thin film determined by nano-indentation is roughly 50 GPa on a wafer substrate and 15 GPa on a lens substrate. As for AFM, modulus measured is approximately 56 GPa on a wafer substrate and 22 GPa on a lens substrate. This highlights significant influence of substrate for both techniques. Impact on mechanical properties between SiO2 thin films under different intrinsic stresses was also investigated. Results suggest that higher density of SiO2 thin film leads to higher elastic modulus.
To quantify adhesion, micro-tensile and micro-compression tests were performed. Micro-tensile experiments give ultimate shear strengths of hardcoat-substrate interface ranging from 9 to 14 MPa. Values of energy release rates of SiO2 / Hardcoat, range from 0.1 J/m² to 0.5 J/m², depending on moduli values found on wafer or lens substrate.
As catastrophic bridge collapse accidents not only cause significant loss of property, but also have a severe social impact. Therefore, the structural health monitoring of bridges for damage detection by vibration analysis gets more attention. Reinforced concrete bridges are the most common and extended structures present in the worldwide. These structures are often characterized by Piers, Abutments, deck slabs. This paper looks on the work of modelling and analysis of bridge in STAAD.Pro software, and the specific bridge model is taken of a particular span. It is subjected to vary Young’s modulus (E) in the mid span of bridge deck slab to induce damage in order to obtain maximum bending moment, as the structural strength reduces. From the analysis Mu/bd2 values from SP 16 code is used to identify the damage on the bridge deck slab, then natural frequency of the bridge, mode shapes, variation of the deflection and node displacements of bridge deck slab under the action of static and dynamic load at different aspect ratios with original design parameters and at failure is carried out in this project.
In materials science, Functionally Graded Material (FGM) may be characterized by the variation in composition and structure gradually over volume, resulting in corresponding changes in the properties of the material. The materials can be designed for specific function and applications.
Grain refinement, which is obtained by changing the size of grain structure by different techniques, is a preferred method to improve simultaneously the strength and plasticity of metallic materials.
The presentation involves "Principles of Equal-channel Angular Pressing as a processing tool for grain refinement", its applications and advantages in the field of technology and research.
Developing A Prediction Model for Tensile Elastic Modulus of Steel Fiber – Ce...IJRESJOURNAL
ABSTRACT: This paper attempts to develop a prediction model that can be used in line with prescribed laboratory experiments for indirect tensile test such that tensile elastic modulus can be predicted for cement stabilized lateritic soil reinforced with steel fiber using measured properties of the material. The results of the tensile elastic modulus obtained from the Derived Prediction Model almost nearly replicates that obtained from calculations from laboratory experimentation. Results obtained revealed that both the predicted values and calculated values have a linear correlation with an R2 of 96.4%. On this basis the Derived Prediction Model can be said to be valid within the limits of the study.
Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetr...Pouyan Fakharian
Resilient modulus (Mr) of subgrade soils is considered as one of the most important factors for designing flexible pavements using empirical methods as well as mechanistic-empirical methods. The resilient modulus is commonly measured by a dynamic triaxial loading test, which is complex and expensive. In this research, back-propagation artificial neural network method has been employed to model the resilient modulus of clayey subgrade soils based on the results of the cone penetration test. The prediction of the resilient modulus of clayey subgrade soil can be possible through the developed neural network based on the parameters of the cone tip resistance (qc), sleeve friction (fs), moisture content (w), and dry density (γd). The results of the present study show that the coefficients of determination (R2) for training and testing sets are 0.9837 and 0.9757, respectively. According to the sensitivity analysis results, the moisture content is the least important parameter to predict the resilient modulus of clayey subgrade soils, while the importance of other parameters is almost the same. In this study, the effect of different parameters on the resilient modulus of clayey subgrade soil was evaluated using parametric analysis and it was found that with increasing the cone tip resistance (qc), the sleeve friction (fs) and the dry density (γd) and also with decreasing the moisture content (w) of soils, the resilient modulus of clayey subgrade soils increases.
Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-N...Pouyan Fakharian
To provide lateral resistance in structures as well as buildings, there are some types of structural systems such as shear walls. The utilization of lateral loads occurs on a plate on the wall's vertical dimension. Conventionally, these sorts of loads are transferred to the wall collectors. There is a significant resistance between concrete shear walls and lateral seismic loading. To guarantee the building's seismic security, the shear strength of the walls has to be prognosticated by using models. This paper aims to predict shear strength by using Artificial Neural Network (ANN), Neural Network-Based Group Method of Data Handling (GMDH-NN), and Gene Expression Programming (GEP). The concrete's compressive strength, the yield strength of transverse reinforcement, the yield strength of vertical reinforcement, the axial load, the aspect ratio of the dimensions, the wall length, the thickness of the reinforced concrete shear wall, the transverse reinforcement ratio, and the vertical reinforcement ratio are the input parameters for the neural network model. And the shear strength of the reinforced concrete shear wall is considered as the target parameter of the ANN model. The results validate the capability of the models predicted by ANN, GMDH-NN, and GEP, which are suitable for use as a tool for predicting the shear strength of concrete shear walls with high accuracy.
An Investigation of the Interlayer Adhesion Strength in Deeper Layers of the ...AM Publications
A road pavement structure is typically composed of different layers arranged one on top of the other, all supported by a natural or improved subgrade. The main purpose of this configuration is to provide the most effective structure with adequate potential to spread traffic loading from the surface to the subgrade with minimum damage. In spite of material properties and construction techniques, researchers have shown that the overall pavement performance is significantly influenced by the interlayer adhesion condition throughout the pavement structure ([8], [11], [21], [22]). Lack of intimate contact between layers results in them acting as individuals rather than as a thick bonded unit. This therefore induces overloading of layers which leads to premature deterioration of the entire structure due to traffic induced distresses. This work, therefore investigated the interlayer adhesion characteristics between the granular base and the lightly cemented subbase of a typical South African pavement structure. The influence of bonding condition on the overall pavement performance was also studied. A series of interlayer direct shear tests was run on 300 x 300 mm samples made of two layers: a 100mm G2 Granular Base (GB) compacted on top of the 100mm Cement Treated Subbase (CTSB) composed of a G5 material stabilised with 1.8% of cement. Effects of the CTSB scarification, normal pressure and moisture conditions were analysed whereby the results of the interlayer strength tests were compared with those of intra-layer strength tests. The comparative analysis showed that scarifying the CTSB before laying the GB enhances intimate contact between two layers and stimulates the unison interaction which, according to structural modelling results, improves the overall pavement performance.
To ensure good adhesion between a 200 nm thick silicon dioxide layer and a 4.5 μm thick hardcoat polymeric coating, a better understanding of mechanisms of adhesion at this interface is needed. To reach this purpose, focus is placed on two axes: characterizing mechanical properties of materials composing the system and in parallel, finding an applicable and effective method to quantify adhesion. Small dimension of SiO2 thin film makes it challenging to accurately characterize it. Hence the use of both nano-indentation and AFM to attempt assessment of SiO2 thin film elastic modulus Ef; taking into account limitations and uncertainty associated with each technique. Elastic modulus of SiO2 thin film determined by nano-indentation is roughly 50 GPa on a wafer substrate and 15 GPa on a lens substrate. As for AFM, modulus measured is approximately 56 GPa on a wafer substrate and 22 GPa on a lens substrate. This highlights significant influence of substrate for both techniques. Impact on mechanical properties between SiO2 thin films under different intrinsic stresses was also investigated. Results suggest that higher density of SiO2 thin film leads to higher elastic modulus.
To quantify adhesion, micro-tensile and micro-compression tests were performed. Micro-tensile experiments give ultimate shear strengths of hardcoat-substrate interface ranging from 9 to 14 MPa. Values of energy release rates of SiO2 / Hardcoat, range from 0.1 J/m² to 0.5 J/m², depending on moduli values found on wafer or lens substrate.
Modeling and finite element analysis for a casting defect in thin wall struct...Dr.Vikas Deulgaonkar
The casting of pump impeller blades is a difficult operation due to its thin wall structure. In the casting process for thin wall impeller structure, the prediction of shrinkage defect is a one of the important issue and failure of such thin wall structure is a commonly encountered problem. The non-uniform heat transfer rate is the main cause of such failure. The uniformity of heat transfer rate may enhance by placing the runner at appropriate position and riser based on the geometrical attributes. The flow of liquid metal and its solidification has time based temperature variation, shrinkages and porosity distributions in such structures. An attempt is made for the analysis of optimization in the placement of runner and riser through this experimentation. The experiment contains the analysis of finite element simulation of fluid flow and solidification of metal execution at various temperatures, prediction of shrinkages based on the geometry of the casting and flow curvature and porosity distribution. This work also focuses on the prediction of casting defects in aluminum thin wall pump impeller structure using commercially available software (ANSYS-FLUENT). The experimental validation of the simulation result is also done to confirm the same.
Mineral Processing - Crushing - Plant design, construction, operation and op...Basdew Rooplal
Bench scale and pilot scale design for comminution circuits
Factors influencing the selection of comminution circuits
Types and characterisation of crusher equipment and circuit flowsheet
Selection and sizing of primary crusher
Computer aided design of Jaw Crusher
Selection and sizing of secondary and tertiary crushers
Optimising the Eccentric speed of cone crusher
Selection and sizing of High pressure roll crushers
Characterisation – Understanding the ore body and the Metallurgy
Ore dressing studies – what is involved.
Blasting for improved mining and comminution productivity
Production planning for the combined mine and comminution operation
Profit based comminution controls
Increasing the energy efficiency of Processing
Last and latest presentation about my PhD thesis before it will be published in start of year 2017. You can follow the work at https://www.researchgate.net/project/Doctoral-thesis-Application-oriented-wear-testing-of-wear-resistant-steels-in-mining-industry
"A comparative study on different BFRP rebar design methodologies" presented ...TRUSS ITN
This study compares the physical properties and tensile behaviour of two different basalt fibre reinforced polymer (BFRP) rebar designs. Both types are developed using basalt fibres and epoxy resin as reinforcement and matrix respectively; composites with a constant cross section of 8 mm diameter are manufactured using a vacuum assisted resin infusion technique. The first configuration consists of eight braided layers at various angles, while the second one combines a unidirectional core with four outer braided layers. The latter hybrid design is introduced to improve the elastic modulus of braided BFRP reinforcement used in concrete structures. Tensile performance of all BFRP rebars produced in UCD laboratory is numerically and experimentally evaluated, and results for both approaches are compared. The effective longitudinal in-plane modulus (E_x^FRP) and the fibre volume fractions (φf) of each sample is calculated using the classical laminate theory and then, tensile tests are performed in accordance to the B2_ACI 440.3R-04 standard to experimentally validate the numerical results. Initial findings indicate that the elastic modulus of BFRP rebar can be enhanced by combining braiding with a unidirectional fibre core while a sufficient tensile strength is obtained, but additional research towards an optimal hybrid design is required.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IRJET - Study on Workability and Compressive Strength of Concrete Blended...
INGSM-16_Presentation_BrankoSavija
1. 17-09-15
Challenge the future
Delft
University of
Technology
Influence of porosity on mechanical properties
and fracture of Gilsocarbon graphite: a multi-
scale modelling study
B. Šavija, G.E. Smith, D. Liu, K.R. Hallam, E. Schlangen, P.E.J. Flewitt
2. 2Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
• Introduction
• Experimental data
• Multi-scale modelling procedure
• Results
• Conclusions and perspectives
Outline:
3. 3Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Introduction
• AGR gas-cooled reactors in the UK, cores
consist of interlocking graphite bricks
surrounding the fuel rods, acting as neutron
moderators
• Cooled by CO2 gas
• Deteriorate over time due to irradiation and
radiolytic oxidation
• Porosity increase and mass loss result
• Need to be able to predict long-term
mechanical performance
• Microstructure based modelling can be of use
Problem statement
Smith et al. (2013)
4. 4Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Introduction
• Minimal experimental data
• No inverse modelling
• Good description of the microstructure
• Validation using experiments
• (Reliable) use of the model for areas where no experimental
data exists (e.g. high mass loss, high irradiation damage)
• Use in decision making
Modelling needs
5. 5Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
• Introduction
• Experimental data
• Multi-scale modelling procedure
• Results
• Conclusions and perspectives
Outline:
6. 6Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Experimental data
• Graphite specimens commonly tested in
mm/cm size range
• To obtain true material properties,
measurements need to be performed at the
appropriate length-scale
• For models used in this work, this is the
micrometre-scale
• Pure material (excluding porosity) should be
tested, and porosity included in the
microstructural model
• Micro-cantilever tests used to determine elastic
modulus and fracture strength
Problem statement and approach
Liu et al. (2014)
7. 7Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
• Introduction
• Experimental data
• Multi-scale modelling procedure
• Results
• Conclusions and perspectives
Outline:
8. 8Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Multi-scale modelling procedure
• In this work, Gilsocarbon graphite is considered
• Microstructure comprising matrix, filler particles, and porosity
• Pores modelled as spheres which were allowed to grow and coalesce
until desired porosity was reached
Microstructural modelling
9. 9Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Multi-scale modelling procedure
• Microstructures of 5x5x5 mm were generated and divided into
1x1x1mm3
cubes for the multi-scale fracture analysis
Microstructural modelling
10. 10Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Multi-scale modelling procedure
• Lattice model is used as a basis (Schlangen and van Mier, 1992)
Multi-scale model
Input from micro-
cantilever tests
11. 11Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Multi-scale modelling procedure
• Information from the fine scale is passed on to the large scale specimen
Multi-scale model
12. 12Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
• Introduction
• Experimental data
• Multi-scale modelling procedure
• Results
• Conclusions and perspectives
Outline:
13. 13Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Results
• Matrix, particles, and the particle/matrix interface assumed to have the
same properties
Test case 1
14. 14Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Results
• Particle/matrix interface assumed to be the “weak” zone
Test case 2
15. 15Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Results
• Bi-modal porosity distribution (20% “large” pores, while the increase in
porosity comes from “small” pores)
Test case 3 (part 1)
16. 16Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Results
• Bi-modal porosity distribution
Test case 3 (part 2)
17. 17Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Results
Influence of porosity on simulated mechanical
properties
• There is a trend of decreasing mechanical properties
with increasing porosity (i.e. mass loss)
• Note that virgin Gilsocarbon (~20% porosity) has
ft~20MPa -> strength overestimated by a factor of 4-5
18. 18Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
• Introduction
• Experimental data
• Multi-scale modelling procedure
• Results
• Conclusions and perspectives
Outline:
19. 19Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Conclusions and perspectives
• The proposed modelling scheme is innovative in a sense that it uses micro-
scale experimental results (i.e. mechanical properties) as input, while the larger
scale experiments can be used for validation. No assumptions are made on
“real” mechanical properties of the solid phase. This is an important
improvement compared to models used in the literature
• As expected, mechanical properties (E modulus, tensile strength) decrease with
increasing porosity
• Particle/matrix interface strength has a significant effect on mechanical
properties and crack propagation
• Pore size distribution is also important
• Tensile strength is in the right order of magnitude, but overestimated. This is
probably due to simplifications in the generated microstructure (spherical pore
shape)
Conclusions
20. 20Influence of porosity on mechanical properties and fracture of Gilsocarbon graphite: a multi-scale modelling study
Conclusions and perspectives
The developed methodology will be used in the future for:
•Modelling the influence of irradiation hardening and radiolytic
oxidation on long-term mechanical properties
•Inclusion of microstructural defects, such as onion ring flaws
or weak planes in the filler particles
•Upscaling to size of full-scale graphite bricks
Perspectives