Comments (4)
Hi,
Thanks for your interest in I-Simpa. Surface/Cut receivers results should not be used as they are not covered by validation. You should export results of punctual receivers instead.
best regards,
Nicolas
from i-simpa.
Hi Nicolas, thanks for your answer!
Yeah, I figured I would only use the punctual receivers for quantitative comparisons.
Out of curiosity, I compared local points sampled by punctual receivers to points taken from the field. The only discrepencies i found where when the gradients in out-of-plane direction were high. I assumed it is because the receptor is sampling as a volume and not a surface. All of that was done making sure that the sampling size for the surface receptor was the same as for the punctual receivers.
Do you guys plan to validate those further at any point? I imagine it's a hard one given that experimentally there is no such thing as "surface microphone".
Again thanks for your time, thanks for the great software and libraries !
Cheers,
Q.M.
from i-simpa.
Hi Nicolas,
Someone contacted me about it, so I reckon it could be useful to others.
As i said above, i understand and acknowledge that you guys have not validated the surface receiver.
That said, those receivers do give a good qualitative representation of what's going on and it can be good to be able to export that to appropriate format to do something with it.
For those interested I made a small script using your existing examples to convert the content of surface receivers to vtk so that you can import this into data rendering software like Paraview, etc. It's sitting there for now, if you want to do anything with it, https://github.com/qmichalski/i-simpa-vtk.
Cheers,
Quentin
from i-simpa.
Hi,
Thank you for sharing your work. Maybe we could add a link to your repository in the documentation.
Best regards,
-Nicolas
from i-simpa.
Related Issues (20)
- Access of csbin files HOT 1
- Table for LF and LFC results give dB values with too many digits
- How we can do the simulation for a each full floor from a building, not only one room/space ?
- How we can import the model of building with doors and windows from Revit to I-simpa without getting errors in meshing? HOT 2
- Changing Surface Material through Python script HOT 6
- Remove unwanted column in window "Viewing style" for graph parameters
- my problem in the simulation with a suspended surface HOT 7
- remeshing crashes depending on model scale HOT 1
- Selection of small faces in the UI
- Determination "pink noise" spectrum in sound source HOT 2
- Punctual receiver. inconsistent data output HOT 1
- Add evaluation of Uncertainties in the results
- Program does not load HOT 4
- LookupError: No spectrum for the given name exists (Water). Try one of: [] HOT 2
- Results not correct HOT 1
- Problem with I SIMPA'S SPPS calculation HOT 1
- Switch to ray tracing library HOT 2
- Warning: point #27 is coincident with #108. Ignored HOT 1
- Add pyroomacoustics with I-Simpa
- SPL calculation with surface receiver HOT 12
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from i-simpa.