| 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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Thöns, Sebastian
Lund University
in Cooperation with on an Cooperation-Score of 37%
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Publications (4/4 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
- 2023Decision analytic approach for the reclassification of concrete bridges by using elastic limit information from proof loadingcitations
- 2016Efficient Structural System Reliability Updating with Subspace-Based Damage Detection Information
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document
Efficient Structural System Reliability Updating with Subspace-Based Damage Detection Information
Abstract
Damagedetectionsystemsandalgorithms(DDSandDDA)provideinformationofthe structuralsystemintegrityincontrasttoe.g.localinformationbyinspectionsornon-destructivetestingtechniques.However,thepotentialofutilizingDDSinformationforthe structuralintegrityassessmentandprognosisishardlyexploitednortreatedinscientific literatureuptonow.InordertoutilizetheinformationprovidedbyDDSforthestructural performance, usually high computational efforts for the pre-determination of DDS reliability arerequired.Inthis paper,anapproachfortheDDSperformancemodellingisintroduced buildinguponthenon-destructivetestingreliabilitywhichappliestostructuralsystemsand DDScontainingastrategytoovercomethehighcomputationaleffortsforthepre-determination of the DDS reliability. This approach takes basis in the subspace-based damage detection method and builds upon mathematical properties of the damage detection algorithm. Computational efficiency is gained by calculating the probability of damage indication directly withoutnecessitatinga pre-determinationforall damagestates.Thedevelopedapproachis appliedtoastatic,dynamic,deteriorationandreliabilitystructuralsystemmodel, demonstrating the potentials for utilizing DDS for risk reduction