Data Set of Load Tests and Structural Health Monitoring of a concrete boxgirder bridge

TL;DR

This paper provides a detailed dataset from static and dynamic load tests on a concrete boxgirder bridge, including SHM data, to support structural assessment, model validation, and anomaly detection research.

Contribution

It offers an open-access, comprehensive dataset from full-scale load tests and SHM on a concrete bridge, filling a gap in available structural data for research.

Findings

Data captures bridge's response under various loads

System detects small mass variations effectively

Data supports model calibration and validation

Abstract

Load tests are an essential tool to verify the compliance of bridges with their design specifications and to assess their actual load-bearing capacity. In this paper, a series of static and dynamic load tests conducted on a concrete boxgirder bridge are documented. The bridge is equipped with a long-term Structural Health Monitoring (SHM) system, providing data covering an entire seasonal cycle upon request for academic research purposes. Due to the large amount of data, the full SHM data cannot be provided. The load test data is available on Zenodo. The objectives of the static and dynamic tests are (i) to capture the bridge's current condition under various loading scenarios while identifying potential structural weaknesses, (ii) to evaluate the system's sensitivity to small mass variations, and (iii) to generate data for model calibration and validation of anomaly detection algorithms by simulating a design load case. This article presents an experimental data set obtained from an instrumented concrete box girder bridge. The measurement data provided contributes to reducing the gap of limited availability of data sets from full-scale load tests on structures. The data set includes time series of accelerations during vehicle crossings and strain measurements during static loads. The construction of the bridge and the structural health monitoring system are described in detail and supported by drawings. The structure of the measurement data in the open-access data files is briefly explained. Follow-up studies will analyze the SHM data in collaboration with multiple research groups.