Wireless structural health monitoring and control using tuned mass dampers

Prof. Dr.-Ing. Kay Smarsly (BUW)

The goal of the project is to design and implement wireless structural health monitoring (SHM) and control systems, with emphasis on implementing software to be embedded into wireless sensor nodes. In addition, the project will focus on integrating methods into the wireless SHM and control systems used for controlling the structural behavior by employing structural subsystems (dampers) for artificially enhancing structural damping. While previous experience in the fields of SHM, structural control and wireless sensor networks is not required, good skills in Java programming or in a similar programming language are a prerequisite to participate in this project. A strong interest in embedded computing will be considered an advantage. To implement the wireless SHM and control systems, we will use the Java-programmable “SunSPOT” wireless sensor nodes. The wireless sensor nodes are equipped with integrated sensors (such as accelerometers and temperature sensors) that can advantageously be used for SHM purposes. For applying structural control, we will use a tuned liquid column damper, which is a damper tuned to suppress a target frequency component dominating the structural response. Furthermore, we will implement algorithms into the sensor nodes that allow real-time processing and on-board analysis of sensor data collected by the sensor nodes as well as automated decision-making for structural control. Last, but not least, we will use a database system that will be installed on a computer connected to our wireless SHM and control systems to store sets of sensor data. In this project, the participating students will work in small groups to implement the wireless SHM and control systems. The students will be guided step by step through the process of designing and implementing the systems. Finally, the wireless SHM and control systems will be installed on a test structure equipped with a tuned liquid column damper and validated with respect to performance and reliability through laboratory tests.

Fig. 1: Group work.
Fig. 2: Conduction of Experiment.