Chair of Continuum Mechanics

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381 to 390 of 585 Results

data.7z Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net 7Z Archive - 417.9 MB - MD5: ab58b9cb6a76de1e09c5baa790eada71 Data for training and examples for pre/post-processing
example.log Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Plain Text - 155 B - MD5: 770701e71b665603a9e61292c7824135 An example of training log file (all the adopted parameters used during training are saved in this log)
Frac_Unet_postprocess.py Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Python Source Code - 5.7 KB - MD5: ee7d79e5e2f70aabaae7bae129627301 Post-processing code to create enhanced images
Frac_Unet_preprocess.py Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Python Source Code - 2.4 KB - MD5: 9b63a89131ad52136b92531a6b7f5e71 Pre-processing code to change the images into available shape and format
Frac_Unet_training.py Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Python Source Code - 7.0 KB - MD5: 10e1540fe5afda49692b2437eb245903 Training code in order to train the model
img_seg.py Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Python Source Code - 17.5 KB - MD5: 3a13bef31e567313fc8ef766bc00d377 Customized image library in order to save and load the image data
readme.txt Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Plain Text - 2.1 KB - MD5: d378b2f2e6e39b343cb17bd2522c6b7d Detailed description of operation with codes
unet3D_v1.py Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net Python Source Code - 3.8 KB - MD5: c84b9fd76ff97e75a91ccde5cc1395e2 3D U-net model
micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content Sep 26, 2022 - Publication: Particulate systems Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2021, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content", https://doi.org/10.18419/DARUS-2208, DaRUS, V2, UNF:6:Rf3VjhimtgZ3IVZt0sEaiw== [fileUNF] This dataset contains two micro X-ray Computed Tomography (micro-XRCT) data sets from scans of the identical cylindrical sample (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The sample consists of monodisperse soft (rubber) and stiff (glass) particles mixture. Both particles have an identical diameter of 4 mm....
mixture_nu0.5_ultrasonic_data.tar.gz Sep 26, 2022 - micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content Gzip Archive - 5.8 MB - MD5: 64a951fccb18c4bd8ce1b022ab0300b7 Raw ultrasonic measurement data in *.csv file format. File name schema: rubber volume fraction of the mixture ("nu"); static preload F_stat. in N ("F"); measurement date. Oscilloscope channels: A = receiver transducer signal; B = transmitter transducer signal.

data.7z

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

7Z Archive - 417.9 MB -

Data for training and examples for pre/post-processing

example.log

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Plain Text - 155 B -

An example of training log file (all the adopted parameters used during training are saved in this log)

Frac_Unet_postprocess.py

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Python Source Code - 5.7 KB -

Post-processing code to create enhanced images

Frac_Unet_preprocess.py

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Python Source Code - 2.4 KB -

Pre-processing code to change the images into available shape and format

Frac_Unet_training.py

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Python Source Code - 7.0 KB -

Training code in order to train the model

img_seg.py

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Python Source Code - 17.5 KB -

Customized image library in order to save and load the image data

readme.txt

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Plain Text - 2.1 KB -

Detailed description of operation with codes

unet3D_v1.py

Feb 7, 2023 - Image enhancement code: time-resolved tomograms of EICP application using 3D U-net

Python Source Code - 3.8 KB -

3D U-net model

micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content

Sep 26, 2022 - Publication: Particulate systems

Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2021, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content", https://doi.org/10.18419/DARUS-2208, DaRUS, V2, UNF:6:Rf3VjhimtgZ3IVZt0sEaiw== [fileUNF]

This dataset contains two micro X-ray Computed Tomography (micro-XRCT) data sets from scans of the identical cylindrical sample (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The sample consists of monodisperse soft (rubber) and stiff (glass) particles mixture. Both particles have an identical diameter of 4 mm....

mixture_nu0.5_ultrasonic_data.tar.gz

Sep 26, 2022 - micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content

Gzip Archive - 5.8 MB -

Raw ultrasonic measurement data in *.csv file format. File name schema: rubber volume fraction of the mixture ("nu"); static preload F_stat. in N ("F"); measurement date. Oscilloscope channels: A = receiver transducer signal; B = transmitter transducer signal.

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