Hi, Ruochun
I want to use Scale function to generator different size of
particle，but it doesn't work fine, the diameter of 10 particles generated
is same.
double scale_par[10] = {0.9, 0.92 * 0.9, 0.94, 0.96, 0.98, 1, 1.02, 1.04,
1.06, 1.08};
double pos_x[10] = {4, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9};
double pos_y[10] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
double pos_z[10] = {14, 14, 14, 14, 14, 14, 14, 14, 14, 14};
for (unsigned int i = 0; i < 2; i++)
{
sphere_template->Scale(scale_par[i]);
DEMSim.AddClumps(sphere_template, make_float3(pos_x[i], pos_y[i], pos_z[i]));
}
Best regards,
Wenxuan
在2024年9月13日星期五 UTC+8 16:07:09<Ruochun Zhang> 写道：
> From what I understand, there are people trying similar things but there
> are no documents or working examples. It's in theory quite doable as DEME
> is designed for co-simulation, and you just write scripts that use DEME
> methods and OpenFOAM methods at the same time and that's it. If you are
> going to do it, you can use Chrono--DEME cosim examples
> <https://github.com/projectchrono/chrono-projects/tree/feature/DEME> here
> as inspiration.
>
> Thank you,
> Ruochun
>
> On Thursday, September 12, 2024 at 11:34:46 PM UTC+8 [email protected]
> wrote:
>
>> 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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