Scientific Projects
Quantifying Potential Monetary Benefits of Structural Health Monitoring Information
Quantifying Potential Monetary Benefits of Structural Health Monitoring Information
Quantifying Potential Monetary Benefits of Structural Health Monitoring Information
Quantifying Potential Monetary Benefits of Structural Health Monitoring Information
Structural Health Monitoring information has become critical for efficient infrastructure management. But it incurs a monetary cost. How can you know whether it’s worth paying for SHM information for infrastructure management? I addressed this question in my doctoral research project.
Keywords: Value of Information, Structural Health Monitoring, Decision Utility Analysis, Highway Bridge Management
- A comprehensive value of information framework for quantifying structural health monitoring benefits
- Value of strain-based structural health monitoring as decision support for heavy load access to bridges
- Sensitivity of Value of Information to Model and Measurement Errors
- Value of structural health monitoring for bridges subjected to severe loads
- Metamodeling strategies for value of information computation
An advanced Stochastic Algorithm to simulate transverse cracking in RC members
Developing a deeper understanding of the transverse cracking phenomenon is critical for RC design. However, this phenomenon is subject to significant uncertainties and spatial variabilities. Therefore, I developed a statistical model for simulating the trends with the underlying uncertainties for the highly variable reinforced concrete structural cracking. I utilized trend forecasting techniques such as Karhunen-Loeve expansions, Gaussian processes, and extreme value theory to develop a 95% accurate prediction model.
Keywords: RC tensile Cracking, Karhunen Loeve Expansions, Random Field Simulation, Extreme Value Theory