Mid-America Transportation Center

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Mid-America Transportation Center 15 records found Search took 0.07 seconds. 
1.
A set of results from the 3D RANS numerical simulations performed using StarCCM+. The data sets contain 2D plots of the bed friction velocity for spill through abutment, [...]
2018 | Dataset |
2.
The data represent the acceleration, angular velocity, and strain at two locations on the structure under four testing scenarios including numerical, impact, ground motio[...]
2018 | Dataset |
3.
The data contain accelerometer/GPS data transducer files from the split-mu brake testing.
2018 | Dataset |
4.
Measured tanker vehicle dimensions, system drawings of concepts, calculations of concepts, and final computer simulation models.
2018 | Dataset |
5.
Matlab codes and input and output data for the test problem instances.
2019 | Dataset |
6.
Pertinent documentation and computer code for this research project.
2019 | Dataset |
7.
Registry record for a RAR file containing data on the experimental settling characteristics for dodecane.
2019 | Other |
8.
Roads and flood maps for two Iowa counties: Johnson and Benton
2019 | Dataset |
9.
The data include collected raw data, codes, and analysis results for the project.
2019 | Dataset |
10.
Strain gauge measurements on different piles at different cross sections.
2019 | Dataset |
11.
Data include literature reviews for the project, baseline bridge column FE model, validation models, and validation results.
2019 | Dataset |
12.
Contact forces were measured between the vehicle and the barrier. The forces applied by the TL-6 vehicle model to the previous rigid concrete barrier baseline model, alon[...]
2020 | Dataset |
13.
Continuous Surface Cap Model (CSCM) and Karagozian & Case Concrete Model (K&C) in LS-DYNA were selected as candidate models and were evaluated and compared with e[...]
2020 | Dataset |
14.
This project seamlessly integrates data analytics, deep learning, and computer vision technology to achieve the goal. Specifically, the project creates a crash report dat[...]
2020 | Dataset |
15.
The project justifies the need for scenario-based attention and identifies five variables for classifying crash scenarios and decomposing the data accordingly. Then, it i[...]
2020 | Dataset |

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