Bridge Network Performance Forecasting—Survival Analysis Approach
LTBP Program, FHWA
Role: Principal Investigator
Period: 2020 - present
Role: Principal Investigator
Period: 2020 - present
Develop Proportional Hazards Network Forecasting Models for three different bridge preservation levels for all bridges and culverts in the National Bridge Inventory for release on the FHWA InfoBridge website in January 2021.
Bridge Component Deterioration Modeling—Survival Analysis Approach
Office of Infrastructure R & D, FHWA
Role: Principal Investigator
Period: 2019 - 2020
Role: Principal Investigator
Period: 2019 - 2020
Develop and implement probabilistic condition forecasting models using Proportional Hazards survival analysis for over 350,000 concrete deck bridges nationwide. Models were published on FHWA InfoBridge website in January 2020.
Developing Probabilistic Bridge Deterioration Models based on Nondestructive Evaluation of Concrete Bridge Desks using Multiple NDE Technologies
Office of Infrastructure R & D, FHWA
Role: Principal Investigator
Period: 2018 - 2020
Role: Principal Investigator
Period: 2018 - 2020
Ongoing research on proposal accepted for the NRC Research Associateship Award to the LTBP Program.
Guidelines for Prioritization of Bridge Replacement, Rehabilitation, and Preservation Projects
Sponsor: North Carolina Department of Transportation
Role: Researcher (PI: Dr. Matthew Whelan)
Period: 2015 - 2017
Role: Researcher (PI: Dr. Matthew Whelan)
Period: 2015 - 2017
Supported computation of prioritization indices associated with bridge rehabilitation projects and preservation actions through data processing and deterioration modeling software developed through my previous research.
Determination of Bridge Deterioration Models and Bridge User Costs for NCDOT Bridge Management System
Sponsor: North Carolina Department of Transportation
Role: Researcher (PhD) (PI: Dr. Tara Cavalline)
Period: 2013 - 2015
Role: Researcher (PhD) (PI: Dr. Tara Cavalline)
Period: 2013 - 2015
This project resulted in the development and implementation of a comprehensive software framework for probabilistic bridge deterioration modeling that takes into account the time dependent nature of deterioration as well as the impact of various functional, design, and geographic factors on the deterioration rate. A unique statistical regression methodology was developed using a combination of survival analysis techniques, proportional hazards assumptions, and semi-Markovian theory. Application of this methodology to 35 years of available general condition rating data in the NCDOT BMS resulted in probabilistic deterioration models for bridge components and culverts with significantly improved prediction accuracy and precision compared to prior models. A user-friendly graphical user interface was designed to permit NCDOT to routinely update these forecasting models as additional inspection data is added to the BMS.
Underground Wireless Sensor Networks for Distributed Sensing of Buried Infrastructure
Sponsor: National Science Foundation
Role: Researcher (Ph.D.) (PI: Dr. Kerop Janoyan)
Period: 2012 - 2013
Role: Researcher (Ph.D.) (PI: Dr. Kerop Janoyan)
Period: 2012 - 2013
This project involved investigation of underground wireless sensor network capabilities using commercially available 2nd generation sub-1GHz wireless sensors. Research work included development of embedded software codes in Python for the wireless nodes and a Matlab control code for the host computer for automation and data logging. Extensive tests were conducted investigating the influence of radio characteristics including modulation format, carrier frequency and data rate, as well as depth of burial and transmission distance on underground signal transmission. The laboratory tests were carried out in the structural high-bay laboratory of the Energy Production and Infrastructure Center at the University of North Carolina at Charlotte. Corresponding field tests were carried out at Clarkson University, NY, using the experimental design and software developed at UNCC. Statistical linear regression models were developed from the measurement data to analyze factors influencing the signal transmission underground and devise prediction models for sensor network design.
Fatigue Failure and Cracking in High Mast Poles *
Sponsor: Texas Department of Transportation
Role: Researcher (M.S.) (PI: Dr. Mina Dawood)
Period: 2010 - 2011
Role: Researcher (M.S.) (PI: Dr. Mina Dawood)
Period: 2010 - 2011
This project investigated fatigue cracking and failure of galvanized high mast illumination poles (HMIP). The first phase involved extensive review of published and unpublished data to identify key factors that contribute to galvanization induced cracking and recommended best practices for minimizing such cracking. In the second phase of the research, a comprehensive reliability analysis of several TxDOT pole configurations was conducted including finite element modeling and eigenvalue/modal analysis in SAP2000. The response of HMIP to wind-induced vibrations was evaluated and probability of failure assessed to predict the fatigue lives of the cracked poles.
* Project was selected as an AASHTO Sweet 16 High Value Research Project nationwide.
* Project was selected as an AASHTO Sweet 16 High Value Research Project nationwide.