RELSYS: A computer program for structural system reliability

Estes, Allen C.; Frangopol, Dan M.

doi:10.12989/sem.1998.6.8.901

Cited by 93 publications

(29 citation statements)

References 7 publications

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“…Annual failure probabilities and annual reliability indices for the three components and systems in Figure 2 have been evaluated, considering 50 years of service life, using the software RELSYS (RELiability of SYStems) [20]. The software uses FORM to first compute the failure probability of all components of the system; then, it progressively reduces the system to equivalent subsystems until a single equivalent component remains.…”

Section: Annual Reliability and Annual Risk As Performance Indicatorsmentioning

confidence: 99%

Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures

Barone¹,

Frangopol²

2014

Reliability Engineering & System Safety

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Structural capacity deterioration is among the main causes of increasing failure probabilities of structural systems, thus maintenance interventions are a crucial task for their rational management. Several probabilistic approaches have been proposed during the last decades for the determination of cost-effective maintenance strategies based on selected performance indicators. However, benefits and drawbacks of each performance indicator with respect to the others should be further analyzed. The objective of this paper is to investigate probabilistic approaches based on the annual reliability index, annual risk, and lifetime distributions for life-cycle maintenance of structural systems. Maintenance schedules are obtained for representative series, parallel, and series-parallel systems considering total restoration of component resistances whenever a prescribed threshold, based on a selected performance indicator, is reached. Effects related to different structural configurations and correlation among failure modes are investigated. The superstructure of an existing bridge is used to illustrate the presented approaches.

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Section: Annual Reliability and Annual Risk As Performance Indicatorsmentioning

confidence: 99%

Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures

Barone¹,

Frangopol²

2014

Reliability Engineering & System Safety

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“…The cross-sectional area of the shear reinforcement in each girder , Order Reliability Method (FORM) using the RELSYS software [Estes and Frangopol 1998]. …”

Section: Maintenance Optimization Of a Deteriorating Bridge Superstrumentioning

confidence: 99%

Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost

2014

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Citation: . Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost. Structural Safety, 48, Additional Information:• This is the author's version of a work that was accepted for publication availability and hazard functions) are used in conjunction with total maintenance cost for evaluating Pareto fronts associated with optimal maintenance schedules of deteriorating structures. Essential maintenance actions are considered and optimization is performed by using genetic algorithms. The approach is illustrated on an existing deteriorating bridge superstructure.

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“…(9) and (10) can be used to evaluate the reliability index using computer software such as RELSYS [31] or CalREL [32]. Alternatively, Eq.…”

Section: Fatigue Reliabilitymentioning

confidence: 99%

Fatigue reliability and service life prediction of aluminum naval ship details based on monitoring data

Soliman

Barone

Frangopol

2014

Structural Health Monitoring

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The evolution of naval vessels towards high-speed crafts subjected to severe sea conditions has promoted an increasing interest in lightweight high-strength materials. Due to its strength and weight characteristics, aluminum has been proven especially suitable as construction material for hull structures, as well as other vessel parts. However, fatigue in aluminum naval crafts needs to be effectively addressed for the proper life-cycle assessment. Structural health monitoring (SHM) systems constitute effective tools for measuring the structural response and assessing the structural performance under actual operational conditions. In this paper, an approach for using SHM information in the fatigue reliability analysis and service life prediction of aluminum naval vessels is presented. The accumulated fatigue damage and the fatigue reliability are quantified based on SHM data acquired under different operational conditions, specified by the ship speeds, sea states, and heading angles. Additionally, an approach for estimating the reliability-based fatigue life under a given operational profile is presented. Seakeeping trial data of an aluminum high-speed naval vessel are used to illustrate the proposed approach.

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RELSYS: A computer program for structural system reliability

Cited by 93 publications

References 7 publications

Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures

Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures

Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost

Fatigue reliability and service life prediction of aluminum naval ship details based on monitoring data

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