Informatik-Kolloquien
353. Informatik-Kolloquium
Öffentliche Verteidigung im Rahmen des Promotionsverfahrens
Herr M.Sc. Maik Benndorf
TU Chemnitz
Fakultät für Informatik
Professur Verteilte und selbstorganisierende Rechnersysteme
"Towards Vibration-based Structural Health Monitoring using Mobile Android Devices"
Dienstag, 15.04.2025, 15:00 Uhr, Straße der Nationen 62, Böttcher-Bau, A10.367 (alt: 1/367)
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Abstract
Bridges are essential components of transportation infrastructure that constantly face degradation due to aging, traffic loads, and environmental factors. Therefore, reliable condition monitoring is crucial for the early identification of safety risks and for scheduling maintenance.
Structural Health Monitoring (SHM) provides valuable insights, but its implementation is often subject to technical complexities and high costs, especially in rural areas and areas with challenging infrastructure. This thesis examines the feasibility of using Mobile Android Devices (MADEs) for SHM, focusing on key technical challenges.
Conducting a literature review and an analysis of the state of the art, three primary challenges were identified:
(i) The insufficient quality of data collected by MADEs,
(ii) The hardware specifications of these sensors, which differ from those of professional measurement equipment, and
(iii) A lack of structural information required for accurate bridge condition modelling.
To address these challenges, this thesis proposes an approach called Vibration-based Structural Health Monitoring using Mobile Android Devices (VSHM using MADEs), which employs the following methods:
- 'Determining and Reducing Jitter' and 'Synchronizing Clocks using Acoustics' to improve the data quality collected by MADEs (challenge i).
- 'Capturing Vibrations using Motion Sensors' to investigate whether the sensors in MADEs can be effectively utilised, even if they do not meet the hardware specifications of professional sensors (challenge ii).
- 'Determining Bridge Type and Material', as well as 'Determining Spatial Dimensions', to provide the structural information needed to model the condition of the bridge accurately (challenge iii).
Additionally, the approach VSHM using MADEs includes a conceptual model that illustrates how these methods can interact to enhance the overall approach to monitoring.
In this presentation, I am going to introduce VSHM using MADEs and discuss the method of Capturing Vibrations using Motion Sensors in detail. The findings of this thesis demonstrate the feasibility and potential of using ubiquitous mobile devices for continuous, cost-effective SHM, paving the way for improved safety and efficiency in bridge infrastructure.
