Méndez Núñez Bridge: ambient vibration data

📊 Ambient Vibration Data — Méndez-Núñez Bridge (Granada, Spain). Nine Acceleration Records Overview This dataset contains nine raw acceleration records acquired on the Méndez-Núñez Bridge in Granada, Spain, during ambient vibration monitoring. The dataset comprises one training record (`accelerations_training.xlsx`) and eight additional test records (`accelerations_test_21.xlsx` to `accelerations_test_28.xlsx`). The measurements were collected using ten accelerometers permanently installed on the bridge as part of the SMART-BRIDGES project. Data Description The dataset comprises nine time-domain acceleration records obtained from ten accelerometers permanently installed on the bridge. Each file contains synchronized acceleration measurements from the ten sensors. The locations and measurement directions of the accelerometers are shown in the accompanying sensor_layout.pdf file. The sensor identifiers used in the dataset correspond to those indicated in this figure. The main characteristics of the dataset are: Number of acceleration records: 9 Number of accelerometers: 10 Sampling frequency: 100 Hz Measurement type: Ambient vibration acceleration Acquisition duration: 30 minutes Data format: Microsoft Excel (.xlsx) Data file: acceleration_data.xlsx and accelerations_test_21.xlsx to accelerations_test_28.xlsx Files acceleration_training.xlsx This file contains the raw acceleration time series recorded simultaneously by the ten accelerometers during the 30-minute acquisition. accelerations_test_21.xlsx - accelerations_test_28.xlsx These eight files contain additional ambient vibration acceleration records obtained from the same monitoring system. sensor_layout.pdf This figure shows the locations, identifiers and measurement directions of the ten accelerometers installed on the Méndez-Núñez Bridge. Acquisition System The monitoring system comprises ten uniaxial piezoelectric KB12VD seismic accelerometers, with a nominal sensitivity of 10.0 V/g (±10%), a broadband resolution of 1 µg RMS, and a measurement range of ±0.5 g peak. The acceleration signals were sampled at 100 Hz using a National Instruments cDAQ-9184 data acquisition system. Further Information Further details on the Méndez-Núñez Bridge, the monitoring campaign, and the broader Structural Health Monitoring framework can be found in: Garcia-Macias, E., Tomassini, E., Hernández-González, I. A., & Filippo, U. (2025). Leveraging artificial intelligence to unlock next-generation SHM software: Advanced feature extraction and damage identification. International Journal of Bridge Engineering, Management and Research, 2(1), 21425007–1:16. https://doi.org/10.70465/ber.v2i1.16 Contact Enrique García MacíasUniversidad de [e-mail]