Journal ArticleDOI
Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges 1
TLDR
In this paper, the authors highlight recent accomplishments in the life-cycle performance assessment, maintenance, monitoring, management and optimisation of structural systems under uncertainty, and identify challenges in this area.Abstract:
Our knowledge to model, analyse, design, maintain, monitor, manage, predict and optimise the life-cycle performance of structures and infrastructures under uncertainty is continually growing. However, in many countries, including the United States, the civil infrastructure is no longer within desired levels of performance and safety. Decisions regarding civil infrastructure systems should be supported by an integrated reliability-based life-cycle multi-objective optimisation framework by considering, among other factors, the likelihood of successful performance and the total expected cost accrued over the entire life-cycle. The primary objective of this paper is to highlight recent accomplishments in the life-cycle performance assessment, maintenance, monitoring, management and optimisation of structural systems under uncertainty. Challenges are also identified.read more
Citations
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Life-cycle of fatigue sensitive structures under uncertainty
Dan M. Frangopol,Mohamed Soliman +1 more
TL;DR: A brief overview of the LCM of fatigue sensitive civil and marine structures under uncertainty, including probabilistic performance prediction, inspection scheduling and maintenance optimization for such structures are discussed.
Journal ArticleDOI
Life-cycle environmental and economic benefits of jointless bridges considering climate change
TL;DR: In this article, the damage of expansion joints is a common problem of bridges, which adversely affects not only driving comfort and safety but also the durability of the structure, and jointless bridges can fundamenta...
Journal ArticleDOI
Performance assessment of deteriorated RC shield tunnels integrated with stochastic field-based modeling for nonuniform steel corrosion
TL;DR: In this article , a novel approach is presented to estimate the structural performance of a deteriorated reinforced concrete (RC) shield tunnel with an emphasize on the spatial correlation and variation of steel corrosion.
Journal ArticleDOI
Data-driven recognition and modelling of deterioration patterns in the US National Bridge Inventory: A genetic algorithm-artificial neural network framework
TL;DR: In this paper , an unbiased data-driven framework that combines GA and ANNs was proposed to simultaneously optimize the architecture of a suitable ANN model predicting infrastructure condition status and perform a feature selection of essential deterioration factors among explanatory variables contained in the data collection used.
References
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TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
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Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
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TL;DR: The 2003 AASHTO Subcommittee on Design, Task Force on Geometric Design was held in Charleston, South Carolina during the period July 13 through July 16, 2003 as mentioned in this paper and the purpose of the meeting was to review several documents undergoing revision, review the proposed revisions to the superelevation discussion in the Green Book, consider future research, and other administrative matters of concern to the Task Force Membership.
Related Papers (5)
Maintenance and management of civil infrastructure based on condition, safety, optimization, and life-cycle cost∗
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Life-cycle of structural systems: recent achievements and future directions
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