Finite Element Modeling and Updating
Our major interest is to develop refined finite element model to closely represent actual structure for performance evaluation and condition assessment. Visual investigation and various measurements data are used to update an initial FE model to match static and dynamic characteristics.
The ability to assess current structural status is critical information for infrastructure maintenance. Our lab is interested in developing a damage detection algorithms for civil infrastructure based on sensor data. Both theoretical and experimental studies are underway for various civil infrastructure health assessment.
We are working field bridge performance monitoring project with Connecticut Department of Transportation. Currently, a highway bridge on I-91 to New Haven is instrumented with wireless smart sensing system.
Wireless smart sensor is an integrated package of CPU, Memory, wifi, power and sensing capabilities. As opposed to traditional wired sensor, the wireless smart sensor enables scalable structural health monitoring for large-scale civil infrastructure. Various research on WSS including software development, network strategy, hardware integration are underway.
[Software Package] Optimal Sensor Placement for SHM
A stand-alone software package (v.1) for optimal sensor placement (OSP) for structural health monitoring has been developed by Edward Eskew supported by ED’s GAANN program. The software is based on finite element model developed on SAP2000 and well-known OSP algorithms, Effective Independence (EI) method, and Effective Independence – Driving Point Residue methods. The entire software package, user manual, and readme are available to download using the link below:
*Note: This link is temporary, and a new link will be updated soon.