Auteur Dan M. Frangopol
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Documents disponibles écrits par cet auteur (7)
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Alfred Strauss, Auteur ; Dan M. Frangopol, Auteur ; Konrad Bergmeister, Auteur |A nondestructive damage detection approach based on measured structural responses is presented and verified by controlled laboratory experiments and by tests on real structures. In the experiments, defined magnitudes of damages are assigned to r[...]![]()
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Sunyong Kim, Auteur ; Dan M. Frangopol, Auteur |Inspection and monitoring of deteriorating structures are generally performed to assess structural integrity and predict the remaining service life. For deteriorating structures, a reliable prediction of damage occurrence and the time-dependent [...]![]()
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Sunyong Kim, Auteur ; Dan M. Frangopol, Auteur |The state of a structural system subjected to deterioration processes is changing continuously. This state cannot be reliably predicted without considering both aleatory and epistemic uncertainties. To reduce the epistemic uncertainty, inspectio[...]![]()
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Sunyong Kim, Auteur ; Dan M. Frangopol, Auteur ; Mohamed Soliman, Auteur |This paper proposes a generalized probabilistic framework for optimum inspection and maintenance planning of deteriorating structures. The proposed framework covers (1) the damage occurrence and propagation and service life prediction under unce[...]![]()
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Nader M. Okasha, Auteur ; Dan M. Frangopol, Auteur |In this paper, the performance of structures is modeled using lifetime functions. Specifically, the unavailability and redundancy are used as performance indicators, based on which optimum maintenance strategies are sought. Models that reflect t[...]![]()
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Benjin Zhu, Auteur ; Dan M. Frangopol, Auteur |Structures deteriorate as a result of material aging, aggressive environmental conditions, and increasing loads. During their lifetime, structures are also possibly exposed to some extreme events. The associated consequences of failure caused by[...]![]()
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André D. Orcesi, Auteur ; Dan M. Frangopol, Auteur |A model using lifetime functions is used to evaluate the probability of survival of bridge components. The possible outcomes associated with nondestructive inspections (NDIs) are incorporated in an event-tree model. Each time a bridge component [...]


