Life-cycle of structural systems: Recent achievements and future directions

Frangopol, Dan M.; Soliman, Mohamed

doi:10.1201/b17618-3

Cited by 20 publications

(28 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Over the past decades, the interest in infrastructure asset management has increased significantly [1]. Asset management is defined by ISO 55000 as "the coordinated activity of an organization to realise value from assets" [2].…”

Section: Introductionmentioning

confidence: 99%

Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

et al. 2019

View full text Add to dashboard Cite

One of the most rapidly emerging measures in infrastructure asset management is Structural Health Monitoring (SHM), which aims at reducing uncertainty in structural performance by using monitoring equipment. As earthen flood defence structures typically have large strength uncertainties, such techniques can be particularly promising. However, insight in the key characteristics for successful SHM for flood defences is lacking, which hampers the practical implementation. In this study, we explore the benefits of pore pressure monitoring, one of the most promising SHM techniques for earthen flood defences. The approach is based on a Bayesian pre-posterior analysis, and results are evaluated based on the Value of Information (VoI) obtained from different monitoring strategies. We specifically investigate the effect on long-term reinforcement decisions. The results show that, next to the relative magnitude of reducible uncertainty, the combination of the probability of having a useful observation and the duration of a SHM effort determine the VoI. As it is likely that increasing loads due to climate change will result in more frequent future reinforcements, the influence of scenarios of different rates of increase in future loads is also investigated. It was found that, in all considered possible scenarios, monitoring yields a positive Value of Information, hence it is an economically efficient measure for flood defence asset management both now and in the future.

show abstract

Section: Introductionmentioning

confidence: 99%

Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Bridges are critical transportation infrastructure networks and often are subjected to heavy traffic loads, harsh environments, and accidental damage (Deco and Frangopol, 2013;Frangopol and Soliman, 2016). For example, some catastrophic failure of bridges occurs because of collision accidents between bridges and heavy vehicles (e.g., over 30 tons).…”

Section: Introductionmentioning

confidence: 99%

Life-Cycle Performance of a Bridge Subjected to Multiple Heavy Vehicle Impacts

Maizuar

Zhang

Thompson

et al. 2018

Proceedings of MICoMS 2017

View full text Add to dashboard Cite

Purpose -The purpose of this study is to develop a numerical framework to predict the time-dependent probability of failure of a bridge subjected to multiple vehicle impacts. Specially, this study focuses on investigating the inter-relationship between changes in life-cycle parameters (e.g., damage size caused by vehicle impact, loss of initial structural capacity, and threshold intervention) and bridges probability of failure.Design/Methodology/Approach -The numerical procedure using MATLAB program is developed to compute the probability failure of a bridge. First, the importance and characteristics of life-cycle analysis is described. Then, model for damage accumulation and life cycle as a result of heavy vehicle impacts is discussed. Finally, the probability of failure of a bridge subjected to vehicle impacts as a result of change in life-cycle parameters is presented.Findings -The results of study show that damage size caused by both vehicle impacts and loss of initial structural capacity have a great impact on the long-term safety of bridges. In addition, the probability of failure of a bridge under different threshold limits indicates that the structural intervention (e.g., repair or maintenance) should be undertaken to extend the service life of a bridge.

show abstract

“…Optimization for structures such as bridges and oil and gas platforms has been carried out for cost, reliability, optimal operation and maintenance schedules using probabilistic methods [1][2][3][4][5][6]. Straub [7,8] developed a detailed approach to risk based inspection methodology incorporating the Bayesian analysis and stochastic nature of deterioration models.…”

Section: Introductionmentioning

confidence: 99%

Scheduling structural health monitoring activities for optimizing life-cycle costs and reliability of wind turbines

Nithin

Omenzetter

2017

SPIE Proceedings

View full text Add to dashboard Cite

Optimization of the life-cycle costs and reliability of offshore wind turbines (OWTs) is an area of immense interest due to the widespread increase in wind power generation across the world. Most of the existing studies have used structural reliability and the Bayesian pre-posterior analysis for optimization. This paper proposes an extension to the previous approaches in a framework for probabilistic optimization of the total life-cycle costs and reliability of OWTs by combining the elements of structural reliability/risk analysis (SRA), the Bayesian pre-posterior analysis with optimization through a genetic algorithm (GA). The SRA techniques are adopted to compute the probabilities of damage occurrence and failure associated with the deterioration model. The probabilities are used in the decision tree and are updated using the Bayesian analysis. The output of this framework would determine the optimal structural health monitoring and maintenance schedules to be implemented during the life span of OWTs while maintaining a trade-off between the life-cycle costs and risk of the structural failure. Numerical illustrations with a generic deterioration model for one monitoring exercise in the life cycle of a system are demonstrated. Two case scenarios, namely to build initially an expensive and robust or a cheaper but more quickly deteriorating structures and to adopt expensive monitoring system, are presented to aid in the decision-making process.

show abstract

Life-cycle of structural systems: Recent achievements and future directions

Cited by 20 publications

References 0 publications

Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

Life-Cycle Performance of a Bridge Subjected to Multiple Heavy Vehicle Impacts

Scheduling structural health monitoring activities for optimizing life-cycle costs and reliability of wind turbines

Contact Info

Product

Resources

About