A structural dynamics benchmark problem which is generated as part of COST Action TU1402 on Quantifying the Value of Information and is intended to serve as a reference case study for validation of Structural Health Monitoring (SHM) methods and decision-making tools relying on the Value of Information.

• Pull down a copy of the code by cloning or downloading the repository
• Open a terminal and change the current directory to the benchmark folder
• Run the benchmark backend through the terminal by typing

python main.py

• Run the benchmark user interface (UI) through the terminal by typing

python benchmarktu1402.py

A description of the problem set-up, the modelling assumptions and the workflow to be followed in the Graphical User Interface (GUI) is available in the corresponding IOMAC paper which serves as documentation.

Upon running the analysis, a file named "Output_nodes.dat" is firstly generated, containing the information of output nodes and consisting of three columns:

• Column 1 stores the labels of output nodes
• Columns 2-3 store the corresponding nodal coordinates

Depending on the type of analysis, the following files are further generated for each job named Job_name:

Modal Analysis

Dynamic Analysis

Tatsis, K. and Chatzi, E. (2019) "A numerical benchmark for system identification under operational and environmental variability", Proceedings of the 7th International Operational Modal Analysis Conference (IOMAC).

If you think you've found a bug, go ahead and create a new GitHub issue. Be sure to include as much information as possible so that we can reproduce the bug.

• The model parameters and output requests can be reconfigured and through main.py
• All python dependencies are included in Anaconda installations