Abstracts – Browse Results
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Al-Subaihawi, S W (2023) Real-time hybrid simulation of complex structural systems subjected to multi-natural hazards, Unpublished PhD Thesis, , Lehigh University.
Chowdhury, A A (1994) An object-oriented finite element formulation for construction simulation, Unpublished PhD Thesis, , Lehigh University.
Okasha, N M K (2010) Integration of system-based performance measures and structural health monitoring for optimized structural management under uncertainty, Unpublished PhD Thesis, , Lehigh University.
- Type: Thesis
- Keywords: optimization; reliability; uncertainty; crafts; highway; decision making; deterioration; integrated system; integration; life cycle; monitoring; safety; bridge
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/756250478
- Abstract:
Throughout the lifespan of a structure, gradual or sudden deterioration of its performance inflicts risks that may compromise the safety and/or serviceability of this structure. Well managed structures over their life-cycle are those with predicted system-based performance and planned maintenance interventions so that their safety and serviceability are sustained over their intended lifespan. For enhancement of the efficiency of the structural management framework and reduction in the uncertainties associated with the obtained management strategies, data from structural health monitoring (SHM) can be integrated. The objective of this study is to develop means for the integration of system-based performance measures and SHM in a life-cycle management framework for bridges and ships under uncertainty. In order to achieve this goal, concepts and methods from different topics are investigated for establishing the best connections between these subjects in the framework. Compatibility in the details and phases of the framework required selecting the most suitable existing concepts and/or methods or developing new ones to be integrated. As a system-based performance measure, the time-dependent system redundancy is investigated. An advanced technique for the system-based lifetime performance predictions is proposed. Methods for the optimization of life-cycle maintenance of structural systems considering system-based performance measures are developed. An approach for updating these performance measures using SHM and utilizing automated finite element tuning and Bayesian inference is proposed. A novel approach for the probabilistic ultimate system strength analysis of ship structures is also proposed. The reliability assessment and damage detection in high speed naval crafts based on SHM data is investigated. Finally, a detailed computational platform for the developed life-cycle management framework is presented. The developed concepts and methods are illustrated on various civil and marine structural systems including truss structures, highway bridges, marine ships and high speed naval crafts. It was concluded from these applications that an integrated system-based life-cycle management framework is essential for ensuring the safety and serviceability of structures over their intended lives. The developed framework provides excellent means for optimized decision making under uncertainty. The study is divided into Pat I, which studies civil infrastructure, and Part II, which focuses on marine structures.
Soliman, M (2015) Life-cycle management of civil and marine structures under fatigue and corrosion effects, Unpublished PhD Thesis, , Lehigh University.
Veshosky, D A (1992) An investigation of factors that influence decisions by engineering firms concerning adoption of CAD/CAE systems, Unpublished PhD Thesis, , Lehigh University.