170,270 Works

Numerical models for assessing the performance of heat pumps with maldistribution effects in plate heat exchanger evaporators

Roberta Mancini, Benjamin Zühlsdorf & Brian Elmegaard
The work presents numerical models for design of heat pumps with pure and mixed working fluids including a detailed characterization of plate heat exchanger (PHE) evaporators and condensers. The models are suitable for assessing the impact of heat exchanger operation on the heat pump performance, as well as estimating the impact of liquid/vapour maldistribution and effect of end plates on both PHE evaporator and heat pump performances.
The models are implemented in MATLAB 2017b. Python and...

Actuator-Line-Smearing-Correction

Alexander Meyer Forsting, Georg Pirrung &
Fortran code enabling the correction of the actuator line for missing induction at the blade originating from force smearing. See MeyerForsting et al. 2019 (https://doi.org/10.5194/wes-4-369-2019)

MatlabExamples.zip

David R. Fuhrman
Matlab examples demonstrating analysis of turbulent velocity signals, described in Chapter 4 of:
Sumer, B.M. and Fuhrman, D.R. (2020) Turbulence in Coastal and Civil Engineering. World Scientific. DOI: 10.1142/10829

MatlabExamples.zip

David R. Fuhrman
Matlab examples demonstrating analysis of turbulent velocity signals, described in Chapter 4 of:
Sumer, B.M. and Fuhrman, D.R. (2020) Turbulence in Coastal and Civil Engineering. World Scientific. DOI: 10.1142/10829

Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale - Computer code

Roland Löwe
This folder contains computer code applied for the analysis in the article
"Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale"

Computer code is made available under the GNU GPL v3. Please see the file License.txt.
DEM data are available from download.kortforsyningen.dk

##################
Folder 2D_Flood_Modelling contains
.\ScriptsModelPreparation
-A_RainToDFS_BaseData.py - creates a raster dfs2 file with rainfall input, applied for the baseline simulation with known imperviousness
-A_RainToDFS_Projections.py - creates a raster dfs2...

Adaptive Layered Viscoelastic Analysis (ALVA)

Asmus Skar, Sebastian Andersen & Julius Nielsen
Adaptive Layered Viscoelastic Analysis (ALVA) is a MATLAB-package for pavement modeling. The aim with the software is to equip the civil engineering community with an advanced pavement modeling tool and computer package that is highly adaptive, transparent and open-access, capable of supporting current and future pavement evaluation needs.

ALVA

Asmus Skar & Sebastian Andersen
ALVA is a MATLAB-package for advanced pavement modeling that is highly adaptive

Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale - Computer code

Roland Löwe
This folder contains computer code applied for the analysis in the article
"Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale"

Computer code is made available under the GNU GPL v3. Please see the file License.txt.
DEM data are available from download.kortforsyningen.dk

##################
Folder 2D_Flood_Modelling contains
.\ScriptsModelPreparation
-A_RainToDFS_BaseData.py - creates a raster dfs2 file with rainfall input, applied for the baseline simulation with known imperviousness
-A_RainToDFS_Projections.py - creates a raster dfs2...

MatRANS.zip

David R. Fuhrman
This is version 2.1 of the MatRANS model, for simulating simple one-dimensional vertical (1DV) boundary layer flows in Matlab. The model solves unsteady Reynolds-averaged Navier-Stokes (RANS) equations, coupled with k-omega turbulence model closure, coupled with bed and suspended load sediment transport models.
The model is intended to be utilized within selected hands-on exercises (Chapter 10) in the text book:
Sumer, B.M. and Fuhrman, D.R. (2020) Turbulence in Coastal and Civil Engineering. World Scientific. DOI: 10.1142/10829
Cases set...

Actuator-Line-Smearing-Correction

Alexander Meyer Forsting, Georg Pirrung &
Fortran code enabling the correction of the actuator line for missing induction at the blade originating from force smearing. See MeyerForsting et al. 2019 (https://doi.org/10.5194/wes-4-369-2019)

Data and computational programs for testing a dynamic model of destination image formation

Morten Mørup, Mikkel Nørgaard Schmidt & Fumiko Kano Glückstad
This program contains computational programs used in the procedure 1 and procedure 3 presented in (Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup, Data and computational programs for testing a dynamic model of destination image formation). The program is structured to process data presented in the accompanying Data in Brief.

Adaptive Layered Viscoelastic Analysis (ALVA)

Asmus Skar & Sebastian Andersen
Adaptive Layered Viscoelastic Analysis (ALVA) is a MATLAB-package for pavement modeling. The aim with the software is to equip the civil engineering community with an advanced pavement modeling tool and computer package that is highly adaptive, transparent and open-access, capable of supporting current and future pavement evaluation needs.

Adaptive Layered Viscoelastic Analysis (ALVA)

Asmus Skar & Sebastian Andersen
Adaptive Layered Viscoelastic Analysis (ALVA) is a MATLAB-package for pavement modeling. The aim with the software is to equip the civil engineering community with an advanced pavement modeling tool and computer package that is highly adaptive, transparent and open-access, capable of supporting current and future pavement evaluation needs.

Adaptive Layered Viscoelastic Analysis (ALVA)

Asmus Skar, Sebastian Andersen & Julius Nielsen
Adaptive Layered Viscoelastic Analysis (ALVA) is a MATLAB-package for pavement modeling. The aim with the software is to equip the civil engineering community with an advanced pavement modeling tool and computer package that is highly adaptive, transparent and open-access, capable of supporting current and future pavement evaluation needs.

Data and computational programs for testing a dynamic model of destination image formation

Morten Mørup, Mikkel Nørgaard Schmidt & Fumiko Kano Glückstad
This program contains computational programs used in the procedure 1 and procedure 3 presented in (Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup, Data and computational programs for testing a dynamic model of destination image formation). The program is structured to process data presented in the accompanying Data in Brief.

MatlabExamples.zip

David R. Fuhrman
Matlab examples demonstrating analysis of turbulent velocity signals, described in Chapter 4 of:
Sumer, B.M. and Fuhrman, D.R. (2020) Turbulence in Coastal and Civil Engineering. World Scientific. DOI: 10.1142/10829

MatRANS.zip

David R. Fuhrman
This is version 2.1 of the MatRANS model, for simulating simple one-dimensional vertical (1DV) boundary layer flows in Matlab. The model solves unsteady Reynolds-averaged Navier-Stokes (RANS) equations, coupled with k-omega turbulence model closure, coupled with bed and suspended load sediment transport models.
The model is intended to be utilized within selected hands-on exercises (Chapter 10) in the text book:
Sumer, B.M. and Fuhrman, D.R. (2020) Turbulence in Coastal and Civil Engineering. World Scientific. DOI: 10.1142/10829
Cases set...

Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale - Computer code

Roland Löwe
This folder contains computer code applied for the analysis in the article
"Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale"

Computer code is made available under the GNU GPL v3. Please see the file License.txt.
DEM data are available from download.kortforsyningen.dk

##################
Folder 2D_Flood_Modelling contains
.\ScriptsModelPreparation
-A_RainToDFS_BaseData.py - creates a raster dfs2 file with rainfall input, applied for the baseline simulation with known imperviousness
-A_RainToDFS_Projections.py - creates a raster dfs2...

MatlabExamples.zip

David R. Fuhrman
Matlab examples demonstrating analysis of turbulent velocity signals, described in Chapter 4 of:
Sumer, B.M. and Fuhrman, D.R. (2020) Turbulence in Coastal and Civil Engineering. World Scientific. DOI: 10.1142/10829

Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale - Computer code

Roland Löwe
This folder contains computer code applied for the analysis in the article
"Urban pluvial flood risk assessment - data resolution and spatial scale when developing screening approaches on the micro scale"

Computer code is made available under the GNU GPL v3. Please see the file License.txt.
DEM data are available from download.kortforsyningen.dk

##################
Folder 2D_Flood_Modelling contains
.\ScriptsModelPreparation
-A_RainToDFS_BaseData.py - creates a raster dfs2 file with rainfall input, applied for the baseline simulation with known imperviousness
-A_RainToDFS_Projections.py - creates a raster dfs2...

Source code for \"An Image Processing Language: External and Shallow/Deep Embeddings\"

Robert Stewart
This dataset archive contains the source code corresponding to "An Image Processing Language: External and Shallow/Deep Embeddings", International Workshop on Real World Domain Specific Languages, ACM, 2016.

WhisPER. A MATLAB toolbox for performing quantitative and qualitative listening tests.

Simon Ciba, Fabian Brinkmann & Alexander Lindau
whisper release 1.9.0

Sparse Layered Graphs for Multi-Object Segmentation (notebooks)

Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl & Anders Bjorholm Dahl
Experimental notebooks for CVPR 2020 paper Sparse Layered Graphs for Multi-Object Segmentation.
Related data can be found here:http://doi.org/10.11583/DTU.12462143
slgbuilder.zipContains the slgbuilder package used for creating and cutting graphs. See https://github.com/Skielex/slgbuilder for latest version.
notebooks.zipContains Jupyter notebooks for all experiments from the paper. Also contains a notebooks for creating some of the paper figures and simple examples of how to use the slgbuilder.

Adaptive Layered Viscoelastic Analysis (ALVA)

Asmus Skar & Sebastian Andersen
Adaptive Layered Viscoelastic Analysis (ALVA) is a MATLAB-package for pavement modeling. The aim with the software is to equip the civil engineering community with an advanced pavement modeling tool and computer package that is highly adaptive, transparent and open-access, capable of supporting current and future pavement evaluation needs.

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