Hi, touching
Thank you for your reply. By the way,
are there any examples of co-simulation about DEME coupling to
CFD(OpenFOAM)?
Best regards,
Wenxuan
Ruochun Zhang <[email protected]>于2024年9月12日 周四23:16写道：
> In general, it should affect the efficiency insignificantly, since if you
> have too many templates (aka too many types of mass properties), the solver
> should automatically give up grouping and storing based on templates, and
> just store individual clump's mass properties. If you are very concerned
> then you can call *DisableJitifyMassProperties *to force this behavior.
>
> I don't feel I understand what you meant by "group the particles" based on
> their size ranges. Maybe you want to make sure that when you sample initial
> particles in a certain region, they fall into a specific range. In that
> case, you might store templates that resemble a range, say [2, 4], in a
> standalone vector. Then when sampling a region in your simulation domain,
> you pick templates only from this vector.
>
> Thank you,
> Ruochun
>
> On Thursday, September 12, 2024 at 12:56:24 PM UTC+8 [email protected]
> wrote:
>
>> Hi, Ruochun
>>
>> 1. If so many spherical particle templates are created, will it
>> affect the calculation speed?
>> 2. If I have particles with multiple particle size ranges, such as
>> [2 mm, 4mm], [4 mm, 6 mm], [6 mm, 8 mm], how can I group the particles
>> based on their particle size ranges?
>>
>> Thank you
>> Wenxuan
>>
>> 在2024年9月12日星期四 UTC+8 08:18:51<Ruochun Zhang> 写道：
>>
>>> Hi Wenxuan,
>>>
>>> You can use DEMdemo_BallDrop.cpp
>>> <https://github.com/projectchrono/DEM-Engine/blob/main/src/demo/DEMdemo_BallDrop.cpp>
>>> as
>>> an example and starting point. There, I created 11 templates with diameters
>>> ranging from 0.25cm to 0.35cm, then when instantiating particles, they
>>> randomly took one of the 11 templates. This is usually enough for emulating
>>> a size distribution.
>>>
>>> However, if you want "truly random" distribution in the range of [8 mm,
>>> 12mm], then you probably just have to generate random floating numbers in
>>> this range, then create a sphere template based on this number, then create
>>> a particle using this template, then repeat the process. In the end, you
>>> will have as many templates as particles, and each of them is different.
>>> DEME should support this as well (and if it complains, please let me know).
>>> From the simulation physics point of view, this is likely an overkill.
>>>
>>> Thank you,
>>> Ruochun
>>>
>>> On Wednesday, September 11, 2024 at 10:26:07 AM UTC+8 [email protected]
>>> wrote:
>>>
>>>> Hi, Ruochun
>>>>
>>>> I got a sphere particle template through the LoadSphereType
>>>> function. The diameter of the sphere particle template is 10 mm. How can I
>>>> add particles with a diameter randomly distributed in the range of [8 mm,
>>>> 12mm] based on this spherical particle template?
>>>>
>>>> Best regards
>>>> Wenxuan XU
>>>>
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