Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

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1,171 to 1,180 of 1,265 Results

2022-KW15_part1.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 1.7 GB - MD5: 2c28809811a29bce5cc398481277daa7 Pointcloud of building 2022-KW15
2022-KW15_part2.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 2.0 GB - MD5: 95ebc61112497659b69c63a9296919b7 Pointcloud of building 2022-KW15
2022-KW15_part3.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 1.7 GB - MD5: ee5ca5611c775a89542ef3a752226196 Pointcloud of building 2022-KW15
2022-KW15_subsample.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 82.9 MB - MD5: 5ed32cbf8595b224719bfa361f9b7760 Pointcloud of building 2022-KW15_subsample of points reducting the file size for visualisation (not evaluation)
_testmeasurement_MPA_Stuttgart_beam1.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 115.0 MB - MD5: 302c155a44e01898f358f6348cee0a95 Point cloud of the test measurement at MPA Stuttgart_beam1
_testmeasurement_MPA_Stuttgart_beam2.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 100.6 MB - MD5: d937db0144c5c741bbbd75c9169a56cf Point cloud of the test measurement at MPA Stuttgart_beam2
_testmeasurement_MPA_Stuttgart_beam3.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 121.6 MB - MD5: e9b2aa3251df14ddf368bc6c4498d5b6 Point cloud of the test measurement at MPA Stuttgart_beam3
EXC IntCDC Associated Project 11 'Imperfection Measurements on Timber Members'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Dec 13, 2022 AP11: Imperfection measurements on timber members at risk of buckling.
EXC IntCDC Research Project 7 'Integrated Testing and Numerical Verifications'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Dec 13, 2022 RP7-1: Development of an integrated approach of testing and numerical verifications.
Matlab Implementation of Efficient Updates of Redundancy Matrices Oct 12, 2022 - Institute for Structural Mechanics Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1 This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.

2022-KW15_part1.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 1.7 GB -

Pointcloud of building 2022-KW15

2022-KW15_part2.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 2.0 GB -

Pointcloud of building 2022-KW15

2022-KW15_part3.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 1.7 GB -

Pointcloud of building 2022-KW15

2022-KW15_subsample.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 82.9 MB -

Pointcloud of building 2022-KW15_subsample of points reducting the file size for visualisation (not evaluation)

_testmeasurement_MPA_Stuttgart_beam1.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 115.0 MB -

Point cloud of the test measurement at MPA Stuttgart_beam1

_testmeasurement_MPA_Stuttgart_beam2.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 100.6 MB -

Point cloud of the test measurement at MPA Stuttgart_beam2

_testmeasurement_MPA_Stuttgart_beam3.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 121.6 MB -

Point cloud of the test measurement at MPA Stuttgart_beam3

EXC IntCDC Associated Project 11 'Imperfection Measurements on Timber Members'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Dec 13, 2022

AP11: Imperfection measurements on timber members at risk of buckling.

EXC IntCDC Research Project 7 'Integrated Testing and Numerical Verifications'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Dec 13, 2022

RP7-1: Development of an integrated approach of testing and numerical verifications.

Matlab Implementation of Efficient Updates of Redundancy Matrices

Oct 12, 2022 - Institute for Structural Mechanics

Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1

This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.

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