An Overview of a Network-wide Probabilistic Life Cycle Cost Analysis Methodology and Implementation Framework for New Concrete based Materials and Construction Techniques

Author

Kaan Ozbay

Presentation Date

12 Aug 2016, 12:00 pm

Abstract

Presented by: Dr. Kaan Ozbay Professor of Transportation Engineering New York University

The reconstruction of the nation’s infrastructure should take into consideration the life cycle costs of major projects, including cost of new construction, replacement, maintenance and repair, cost of work zone delays, and various social-economic costs resulting from these activities. Life Cycle Cost Analysis (LCCA) is an effective tool that can assist decision-makers to develop optimum investment strategies by accurately assessing long-term internal and external costs of various types transportation projects while satisfying budget constraints imposed by transportation agencies. Recently, many new innovative concrete based materials and construction techniques have been developed to achieve a more sustainable transportation infrastructure. However, it remains a challenge to reliably estimate costs and technical performance of these new construction technologies / materials due to the very limited field implementation and historical data. This webinar will present a comprehensive implementation framework to quantify the life cycle costs of these conventional and new high performance materials/construction technologies including novel methodologies to link laboratory-measured parameters to actual field performance. A computationally efficient probabilistic quantification methodology is also integrated into the proposed framework to be able to deal with the high level of uncertainty due to the length of analysis period as well as the lack of real-world performance data especially in the case of novel materials. A web-based user-friendly software tool that makes use of the existing network-wide infrastructure data allowing prospective users to perform state-wide LCCA will also be presented. This webinar will be concluded with a review of future work and challenges in the area of network-wide probabilistic LCCA with a focus on novel construction materials and technologies in the presence of limited field data.

BIO: Kaan M.A. Özbay joined the Department of Civil and Urban engineering and Center for Urban Science and Progress at NYU in August 2013. Professor Ozbay is the director of the Urban Intelligent Transportation Systems (UrbanITS) center and the CitySMART laboratory both in the NYU Tandon School of Engineering’s Department of Civil and Urban Engineering. Dr. Ozbay was a tenured full Professor at the Rutgers University Department of Civil and Environmental Engineering until July 2013. Dr. Ozbay is the recipient of the prestigious National Science Foundation (NSF) CAREER award. Dr. Ozbay is the co-editor of a new book titled “Dynamic Traffic Control & Guidance” published by Springer Verlag’s "Complex Social, Economic and Engineered Networks" series in 2013. Dr. Ozbay published approximately 300 refereed papers in scholarly journals and conference proceedings. He is a member of the editorial board of the ITS journal. Since 1994, Dr. Ozbay, has been the Principal Investigator and Co-Principal Investigator of 90 projects funded at a level of more than $13,00,000 by NSF, NJDOT, NYMTC, NYSDOT, New Jersey Highway Authority, USDOT, FHWA, VDOT, CUNY University Transportation Research Center (UTRC), Department of Homeland Security, USDOT ITS Research Center of Excellence. He was the founding director of the Rutgers Intelligent Transportation Systems (RITS) laboratory. His research interests include development of simulation models of large scale complex transportation systems, advanced technology and sensing applications for Intelligent Transportation Systems, modeling and evaluation of traffic incident and emergency management systems, feedback based online real-time traffic control techniques, traffic safety, application of operations research techniques in network optimization and humanitarian inventory control, and transportation economics.

Publisher

Missouri University of Science and Technology

Research Center/Lab(s)

Re-Cast Tier1 University Transportation Center

Recommended Citation

Ozbay, Kaan, "An Overview of a Network-wide Probabilistic Life Cycle Cost Analysis Methodology and Implementation Framework for New Concrete based Materials and Construction Techniques" (2016). RE-CAST Webinars. 14.
https://scholarsmine.mst.edu/recast_webinars/14

Rights

© 2016 Missouri University of Science and Technology All Rights Reserved

Document Type

Video - Presentation

Document Version

Final Version

Department(s)

Civil, Architectural and Environmental Engineering

File Type

movingimage

Language

English