Please navigate through the video using this time stamps ------------------------------------------------------------------------------------------------------- 00:00 - Intro 00:38 - Theory: Specification sof RVE of the BD Composite 01:06 - Video reference for creating RVE of the BD composite 01:20 - Theory: Creating surface nodal sets for 6 faces of RVE 02:15 - Theory: How to define three Reference Points 02:39 - Theory: Model setup for Uniaxial X-loading 03:37 - Theory: Model setup for Uniaxial Y-loading 04:18 - Theory: Model setup for Uniaxial Z-loading 04:58 - Subscribe to CM Videos Newsletter and Channel 06:20 - ABAQUS: How to create the six surface nodal sets 08:09 - ABAQUS: Create the 3 Reference Points (RPs) 08:51 - ABAQUS: Create 3 roller-supported boundary conditions 09:37 - ABAQUS: Model Setup for Uniaxial X-Tension Loading 11:02 - ABAQUS: Model Setup for Uniaxial Y-Tension Loading 12:20 - ABAQUS: Model Setup for Uniaxial Z-Tension Loading 13:58 Outro -------------------------------------- 📥* RELATED VIDEOS 1. RVE Modelling of Bidirectional Composite #1: Geometry Design -ruclips.net/video/9hLPF67eJj0/видео.html
Thanks for your wonderful informative video sir, I have a doubt in the case of a composite containing several inclusions in a matrix, if we model it in 2D how can we convert volume fraction into corresponding area fraction in 2D. Could you please share your insights on this
Hello, I have provided this answer already in a direct message to you but since this is public on RUclips as well, I thought to post it here so that if anyone is dealing with such query, then can benefit from my thoughts: "Thanks for your email and the detailed description of the problem.I think some things need to be understood in the context of what you are asking: (1) Are you modelling a laminated composites i.e. UD or BD composites? If so, then it is relatively straightforward, you can divide the volume by the length (height) of the representative volume element to get the area fraction. I suspect this is not your query. (2) I assume your query is with regards to a particulate composite comprising say spherical particles distributed in a given representative volume element (RVE). It is complicated by the fact that your particles are polydisperse i.e. have diverse diameters. If this is the case then I will suggest the following: (3) For such a system, there is no direct coversion between volume fraction and area fraction due to the dimensional differences between the two domains of analysis. (4) For a first, the 2D domain represents merely a slice through the volume of the RVE. In which case, you are just sampling a single portion of the domain. Whatever area fraction you get (for that single slice) will definitely be wrong, since I will imagine it will be be statistically representative of your domain. It is just the accident of a single slice. (5) To correct the problem, you have to analyze multiple slices and determine the area fraction for each slice, then in the end find the average of the area fractions (which gives you your desired area fraction) and due to the diversities of the slices considered, you need to also compute the standard deviation which becomes your error. In the end your area fraction becomes: Af = Af_mean +/- standard deviation (as error). (6) In terms of determining your Area fraction for a slice, this will probably involve you finding the sum of all the areas of all circles (for a spherical particulate system) per slice and divide that with the area of the sliced 2D RVE. (7) The whole process above can be done automatically computationally within say ABAQUS. You can write a Python script which - depending on the slicing distance you specify, automatically partitions the domain and for each sliced surface (automatically) determines the area fraction for that surface. (8) Once you have identified all those area fractions, then you can calculate the averages and the associated error. I have not tried this but it seems to me this is the educated 'guess' way of computing an area fraction based on a multi-particle particulate composite where you have the 3D RVE of the domain. It will be a methodology I will try out first and do let me know how you get on.
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Please navigate through the video using this time stamps
-------------------------------------------------------------------------------------------------------
00:00 - Intro
00:38 - Theory: Specification sof RVE of the BD Composite
01:06 - Video reference for creating RVE of the BD composite
01:20 - Theory: Creating surface nodal sets for 6 faces of RVE
02:15 - Theory: How to define three Reference Points
02:39 - Theory: Model setup for Uniaxial X-loading
03:37 - Theory: Model setup for Uniaxial Y-loading
04:18 - Theory: Model setup for Uniaxial Z-loading
04:58 - Subscribe to CM Videos Newsletter and Channel
06:20 - ABAQUS: How to create the six surface nodal sets
08:09 - ABAQUS: Create the 3 Reference Points (RPs)
08:51 - ABAQUS: Create 3 roller-supported boundary conditions
09:37 - ABAQUS: Model Setup for Uniaxial X-Tension Loading
11:02 - ABAQUS: Model Setup for Uniaxial Y-Tension Loading
12:20 - ABAQUS: Model Setup for Uniaxial Z-Tension Loading
13:58 Outro
--------------------------------------
📥* RELATED VIDEOS
1. RVE Modelling of Bidirectional Composite #1: Geometry Design -ruclips.net/video/9hLPF67eJj0/видео.html
Best explained sir ❤ if possible please make a video regarding Thermal buckling behaviour of sandwich composite plate using abaqus...
Will try, thanks for the suggestion!
Thanks for your wonderful informative video sir, I have a doubt in the case of a composite containing several inclusions in a matrix, if we model it in 2D how can we convert volume fraction into corresponding area fraction in 2D. Could you please share your insights on this
Hello, I have provided this answer already in a direct message to you but since this is public on RUclips as well, I thought to post it here so that if anyone is dealing with such query, then can benefit from my thoughts:
"Thanks for your email and the detailed description of the problem.I think some things need to be understood in the context of what you are asking:
(1) Are you modelling a laminated composites i.e. UD or BD composites? If so, then it is relatively straightforward, you can divide the volume by the length (height) of the representative volume element to get the area fraction. I suspect this is not your query.
(2) I assume your query is with regards to a particulate composite comprising say spherical particles distributed in a given representative volume element (RVE). It is complicated by the fact that your particles are polydisperse i.e. have diverse diameters. If this is the case then I will suggest the following:
(3) For such a system, there is no direct coversion between volume fraction and area fraction due to the dimensional differences between the two domains of analysis.
(4) For a first, the 2D domain represents merely a slice through the volume of the RVE. In which case, you are just sampling a single portion of the domain. Whatever area fraction you get (for that single slice) will definitely be wrong, since I will imagine it will be be statistically representative of your domain. It is just the accident of a single slice.
(5) To correct the problem, you have to analyze multiple slices and determine the area fraction for each slice, then in the end find the average of the area fractions (which gives you your desired area fraction) and due to the diversities of the slices considered, you need to also compute the standard deviation which becomes your error. In the end your area fraction becomes: Af = Af_mean +/- standard deviation (as error).
(6) In terms of determining your Area fraction for a slice, this will probably involve you finding the sum of all the areas of all circles (for a spherical particulate system) per slice and divide that with the area of the sliced 2D RVE.
(7) The whole process above can be done automatically computationally within say ABAQUS. You can write a Python script which - depending on the slicing distance you specify, automatically partitions the domain and for each sliced surface (automatically) determines the area fraction for that surface.
(8) Once you have identified all those area fractions, then you can calculate the averages and the associated error.
I have not tried this but it seems to me this is the educated 'guess' way of computing an area fraction based on a multi-particle particulate composite where you have the 3D RVE of the domain. It will be a methodology I will try out first and do let me know how you get on.