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Andrew Bartolini

Andrew Bartolini


B.S., University of Notre Dame, 2013


I am a second year PhD candidate at the University of Notre Dame  in the DYNAMO Lab underneath Dr. Tracy Kijewski-Correa. My research interests include structural health monitoring, crowd-sourcing, and natural hazard risk assessment. 

Summary of Activities/Interests

Structural Health Monitoring

My primary area of research in regards to tall building design is the investigation into an improved empirical equation to predict damping ratios of tall structures. Current research involves identifying easy accessible quantifiable measures of cantilever action in tall buildings and using these values to predict the damping ratio of the structure. In addition to the damping prediction model, I will be further investigate habitability requirements of tall structures based on data collected from human responses in tall structures under various wind loading cases. Finally, I will use the data from the monitoring of the tall structures to calibrate the finite element model of the structure and produce more accurate predictions of the building's behavior. This research is a proof-of-concept aimed to demonstrate that the monitoring techniques used in the calibration of the finite element model could also be used to gain valuable information about the current state of the nation's infrastructure among other uses.


My current area of research is in the area of crowd-sourcing. I am currently investigating the ability of the general public to collectively identify the correct answer to engineering questions given a brief introduction to the subject matter. Using a data set of disaster relief photos from the 2010 Haiti Earthquake, I am identifying trends in the data on the public's ability to identify which structural elements are present in the photographs; determine if the structural element(s) are damaged and if so to what extent; and finally what the type of failure is. The goal of the research is to demonstrate that the general public, given a compilation algorithm, can converge to the correct answer. 


• Dondanville Family Graduate Award for Excellence in Teaching by a Graduate Student (2014)