Research Data

This dataset provides strain time-series measurements for structural health monitoring of masonry structures, collected using 13 embedded smart bricks (piezoresistive brick-like sensors) installed in a full-scale two-story masonry prototype exposed to real environmental conditions. The data capture both environmental influences (temperature, humidity, seasonal variations) and structural damage, making them suitable for developing and validating damage detection, novelty detection, and environmental compensation techniques.

Three damage scenarios of increasing severity were investigated: (i) release of two central tie-rods, (ii) incremental static roof overloading, and (iii) progressive differential foundation settlement. The dataset consists of three CSV files, one for each damage scenario, each containing timestamps and strain measurements from 13 sensors (SB1–SB13) over approximately 720 time steps. Further information on sensor placement, experimental setup, and applications of the dataset can be found in the associated publication.

The data are openly available and can be found here.

Strain Measurements Under Damage and Environmental Effects from a Real-Scale Masonry Testbed via Smart Brick Sensors

Automated damage detection in masonry structures using cointegrated strain measurements from smart bricks: Application to a full-scale building model subjected to foundation settlements under changing environmental conditions

A cointegration-driven auto-adaptive neural network strategy for strain-based structural health monitoring of masonry structures and its application for damage detection in full-scale experimental testing

SMS-SAFEST