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Frangopol Honored with 2016 OPAL Award

ASCE Blog: Pioneer of Life-Cycle Cost Analysis Honored with 2016 OPAL for Education

Home Projects Project Briefs ONR Award N00014-12-1-0023: Integrating SHM and Time-Variant System Performance of Naval Ship Structures for Near Real-Time Decision Making under Uncertainty: A Comprehensive Framework


This project focuses on integrating the structural health monitoring (SHM) information and the system performance of naval ships in a comprehensive framework that supports the real-time or near real-time decision making process.

During the last decade, structural health monitoring (SHM) has been one of the most active research areas in infrastructure systems. The major part of this research has focused on the development of advanced and efficient sensing technologies and on fabrication of prototype devices that are potentially suitable for online monitoring of performance of individual structures and infrastructure systems. Facing the massive data generated by such sensor systems, researchers have recently began to turn their attention to developing efficient data acquisition, collection, processing, and interpretation algorithms and software. Although this research largely impacted the engineering practice, there is still an outstanding question of how to optimally plan SHM activities over the service life of deteriorating structures. The main goal of this project is to provide a novel framework which can improve the system performance of naval ship structures by adopting cost-effective management plans based on the integration of SHM concepts and time-variant system performance. The investigation is performed under the Office of Naval Research (ONR) support with Dr. Dan M. Frangopol as the Principal Investigator.

Recent Project

PITA Project: Integrated Framework using Monitoring and Reliability for Improved infrastructure Management under Uncertainty: Phases 1, 2, and 3


The aim of the PITA project is to develop a novel integrated framework using structural health monitoring and reliability technologies for improved bridge management under uncertainty. Through the use of new technologies and the employment of structural health monitoring and reliability approaches, the project is expected to have significant impact on bridge lifetime management practices.


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