| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sørensen, John Dalsgaard
Aalborg University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (28/28 displayed)
- 2023Decision analytic approach for the reclassification of concrete bridges by using elastic limit information from proof loadingcitations
- 2023Decision analytic approach for the reclassification of concrete bridges by using elastic limit information from proof loadingcitations
- 2021Risk informed integrity management of sub-surface well production tubings subject to combined scale and corrosion degradationscitations
- 2018Sensitivity and Identifiability Study for Uncertainty Analysis of Material Model for Concrete Fatigue
- 2018Probabilistic analysis methods for support structures: Work Package - D74.2
- 2016Different Condition Monitoring Approaches for Main Shafts of Offshore Wind Turbines
- 2016Reliability Analysis of Fatigue Fracture of Wind Turbine Drivetrain Componentscitations
- 2015Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbinescitations
- 2015Wind Turbine Blade Life-Time Assessment Model for Preventive Planning of Operation and Maintenancecitations
- 2014Modeling of uncertainties for wind turbine blade design
- 2014Statistical analysis of manufacturing defects on fatigue life of wind turbine casted Component
- 2014Wind turbine blade life-time assessment model for preventive planning of operation and maintenance
- 2014Dependent systems reliability estimation by structural reliability approach
- 2014Reliability analysis of a gravity-based foundation for wind turbines:a code-based design assessmentcitations
- 2013Asymptotic Sampling for reliability analysis of adhesive bonded stepped lap composite jointscitations
- 2013On the use of NDT data for reliability-based assessment of existing timber structurescitations
- 2012Structural Reliability Methods for Wind Power Converter System Component Reliability Assessment
- 2012Reliability of Wind Turbine Components-Solder Elements Fatigue Failurecitations
- 2012Reliability analysis of adhesive bonded scarf jointscitations
- 2012Reliability Analysis of Adhesive Bonded Scarf Jointscitations
- 2012Damage Model for Reliability Assessment of Solder Joints in Wind Turbines
- 2011Reliability based robustness of timber structures through NDT data updating
- 2011Reliability-based design of wind turbine bladescitations
- 2011Pull-Through Capacity in Plywood and OSB
- 2010Probabilistic Calibration of Fatigue Design Factors for Offshore Wind Turbine Support Structures
- 2008Effective turbulence models and fatigue reliability in wind farmscitations
- 2002A Probabilistic Damage Tolerance Concept for Welded Joints:Part 1: data base and stochastic modellingcitations
- 2000Reliability Analysis of Geotechnical Failure Modes for Vertical Wall Breakwaterscitations
Places of action
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article
Asymptotic Sampling for reliability analysis of adhesive bonded stepped lap composite joints
Abstract
Reliability analysis coupled with finite element analysis (FEA) of composite structures is computationally very demanding and requires a large number of simulations to achieve an accurate prediction of the probability of failure with a small standard error. In this paper Asymptotic Sampling, which is a promising and time efficient tool to calculate the probability of failure, is utilized, and a probabilistic model for the reliability analysis of adhesive bonded stepped lap composite joints, representative for the main laminate in a wind turbine blade subjected to static flapwise bending load, is presented. Three dimensional (3D) FEA is used for the structural analysis together with a design equation that is associated with a deterministic code-based design equation where reliability is secured by partial safety factors. The Tsai-Wu and the maximum principal stress failure criteria are used to predict failure in the composite and adhesive layers, respectively, and the results are compared with the target reliability level implicitly used in the wind turbine standard IEC 61400-1. The accuracy and efficiency of Asymptotic Sampling is investigated by comparing the results with predictions obtained using the Monte Carlo simulation technique.Finally, the partial safety factors are calibrated, and it is shown that the methodology can be further applied to general calibration of partial safety factors to be used in deterministic design.