VALDEBENITO C., Marcos

VALDEBENITO C., Marcos Ingeniero Civil, Universidad Técnica Federico Santa María, Valparaíso, Chile (2006)
Magíster en Ciencias de la Ingeniería Civil, Universidad Técnica Federico Santa María, Valparaíso, Chile (2006)
Doktor der technischen Wissenschaften, Universität Innsbruck, Innsbruck, Austria (2010)
Jerarquía Académica: Profesor Adjunto
correo: marcos.valdebenito@usm.cl | oficina: C-313

Tópicos de Investigación y Trabajo

(Español) Confiabilidad estructural

Métodos de Simulación

Optimización basada en criterios de confiabilidad

Elementos Finitos Estocásticos


Asignaturas Dictadas

(Español) Estática de Estructuras

Análisis Estructural

Dinámica de Estructuras

Vibraciones Estocásticas


Publicaciones

(Español) INDICADORES

ResearcherID – Thomson Reuters

Scopus

Google Scholar

1.- H.A. Jensen and M.A. Valdebenito. Reliability analysis of linear dynamical systems using approximate representations of performance functions. Structural Safety, 29(3):222-237, 2007.

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2.- H.A. Jensen, M.A. Valdebenito, and G.I. Schuëller. An efficient reliability-based optimization scheme for uncertain linear systems subject to general Gaussian excitation. Computer Methods in Applied Mechanics and Engineering, 194(1):72-87, 2008.

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3. H.A. Jensen, M.A. Valdebenito, G.I. Schuëller, and D.S. Kusanovic. Reliability-based optimization of stochastic systems using line search. Computer Methods in Applied Mechanics and Engineering, 198(49-52):3915-3924, 2009.

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4.- M.A. Valdebenito, H.J. Pradlwarter, and G.I. Schuëller. The role of the design point for calculating failure probabilities in view of dimensionality and structural non linearities. Structural Safety, 32(2):101-111, 2010.

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5.- M.A. Valdebenito and G.I. Schuëller. Design of maintenance schedules for fatigue-prone metallic components using reliability-based optimization. Computer Methods in Applied Mechanics and Engineering, 199(33-36):2305-2318, 2010.

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6.- M.A. Valdebenito and G.I. Schuëller. Reliability-based optimization considering design variables of discrete size. Engineering Structures, 32(9):2919-2930, 2010.

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7.- M.A. Valdebenito and G.I. Schuëller. A survey on approaches for reliability-based optimization. Structural and Multidisciplinary Optimization, 42(5):645-663, 2010.

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8.- M.A. Valdebenito and G.I. Schuëller. Efficient strategies for reliability-based optimization involving non linear, dynamical structures. Computers & Structures, 89(19-20):1797-1811, 2011.

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9.- E. Patelli, M.A. Valdebenito, and G.I. Schuëller. General purpose stochastic analysis software for optimal maintenance scheduling: application to a fatigue-prone structural component. International Journal of Reliability and Safety, 5(3-4):211-228, 2011.

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10.- P. Beaurepaire, M.A. Valdebenito, H.A. Jensen, and G.I. Schuëller. Reliability-based optimization of maintenance scheduling of mechanical components under fatigue. Computer Methods in Applied Mechanics and Engineering, 221-222:24-40, 2012.

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11.- H.A. Jensen, D.S. Kusanovic, and M.A. Valdebenito. Compromise design of structural systems under stochastic excitation. Probabilistic Engineering Mechanics, 29:40-52, 2012.

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12.- H.A. Jensen, D.S. Kusanovic, M.A. Valdebenito, and G.I. Schuëller. Reliability-based design optimization of uncertain stochastic systems: A gradient-based scheme. Journal of Engineering Mechanics, 138(1):60-70, 2012.

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13.- M.A. Valdebenito, H.A. Jensen, G.I. Schuëller, and F.E. Caro. Reliability sensitivity estimation of linear systems under stochastic excitation. Computers & Structures, 92-93:257-268, 2012.

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14.- P. Beaurepaire, H.A. Jensen, G.I. Schuëller, and M.A. Valdebenito. Reliability-based optimization using bridge importance sampling. Probabilistic Engineering Mechanics, 34:48-57, 2013.

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15.- H.A. Jensen, L.G. Becerra, and M.A. Valdebenito. On the implementation of an advanced interior point algorithm for stochastic structural optimization. Computers & Structures, 2013, in press.

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16.- M.A. Valdebenito, A.A. Labarca, and H.A. Jensen. On the application of intervening variables for stochastic finite element analysis. Computers & Structures, 2013, in press.

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