Box girder bridge weigh-in-motion data, simulated by finite element method

The finite element method-based model was built in ANSYS software, so it is synthetic dataset (not from field experiments). The experiment considered three truck types: 3-axle, 5-axle, and 6-axle trucks.  Each sample in the dataset results from FEM-based simulation of a truck crossing the bridge, and it consists of two components:  12-dimensional time series of strain values at fixed points (readings from 12 sensors);  Vehicle characteristics (data on three axle groups load, vehicle speed).  The size of the generated dataset for truck type A is 1956 elements, for type B – 2034, and for type C – 2039.

Time series represent the readings from 12 sensors that measure the Equivalent Elastic Strain – a measure of the mechanical stress inside the material subjected to external force.  The dataset is a supplementary material to article "Deep neural network architecture for bridge weigh-in-motion system that require small-sized datasets". All additional data can be found in paper or upon reasonable request from author.