Auteur Schueller, Gerhart L.
Documents disponibles écrits par cet auteur (17)
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Fujino, Yozo, Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Yong Xia, Auteur |Auto parametric vibration of a cable stayed beam structure under a random excitation is first studied numerically with emphasis on cable local vibration. A simplified 3 degree of freedom model that includes linear as well as nonlinear coupling t[...]
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Katafygiotis, L. S., Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Sai Hung Cheung, Auteur |In this paper the problem of calculating the probability of failure of linear dynamic systems subjected to random vibrations is considered. This is a very important and challenging problem in structural reliability. The failure domain in this ca[...]
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Tubino, Federica, Auteur ; Giovanni Solari, Auteur ; Schueller, Gerhart L., Éditeur scientifique |The Modeling and simulation of the wind field along structures is a fundamental step in the analysis of their wind excited response. The Proper orthogonal decomposition (POD) provides efficients tools to formulate a model of the turbulence field[...]
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Huang, Ching-Tung, Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Iwan, Wilfred D., Auteur |This paper presents an approach for analyzing nonlinear systems with parameter uncertainty subjected to stochastic excitation. The uncertain parameters are modeled as time-independent random variables. A general solution procedure based on equiv[...]
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Mircea Grigoriu, Auteur ; Schueller, Gerhart L., Éditeur scientifique |The Karhunen-Loève, spectral, and sampling representations, referred to as the KL, SP, and SA representations, are defined and some features/limitations of KL-, SP-, and SA-based approximations commonly used in applications are stated. Three tes[...]
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Papadopoulos, Vissarion, Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Papadrakakis, Manolis, Auteur |Stochastic finite-element analysis of shells is performed using the spectral representation method for the description of the random fields in conjunction with the local average method for the formulation of the stochastic stiffness matrix of th[...]
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Yang, Jann N., Auteur ; Silian Lin ; Lei, Ying, Auteur ; Huang, Norden ; Schueller, Gerhart L., Éditeur scientifique |An Accurate prediction for the response of tall buildings subject to strong wind gusts or earthquakes requires the information of in situ dynamic properties of the building, including natural frequencies and damping ratios. This paper presents a[...]
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Junho Song, Auteur ; Der Kiureghian, Armen, Auteur ; Schueller, Gerhart L., Éditeur scientifique |The First passage probability, describing the probability that a scalar process exceeds a prescribed threshold during an interval of time, is of great engineering interest. This Probability is essential of estimating the reliability of a structu[...]
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Jin-Song Pei, Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Andrew W. Smyth, Auteur |This paper addresses the modeling problem of nonlinear and hysteretic dynamic behaviors through a constructive modeling approach which exploits existing mathematical concepts in artificial neural network modeling. In contrast with many neural ne[...]
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Jin-Song Pei, Auteur ; Andrew W. Smyth, Auteur ; Schueller, Gerhart L., Éditeur scientifique |Based on the basic formulation developed in a companion paper, the writers now present the application of an artificial neural network approach to designing streamlined network models to simulate and identify the nonlinear dynamic response of si[...]
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Royset, Johannes O., Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Der Kiureghian, Armen, Auteur ; Polak, Elijah, Auteur |Significant challenge are associated with solving optimal structural design problems involving the failure probability in the objective and constraint functions. In this paper, we develop gradient based optimization algorithms for estimating the[...]
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F. Rudinger, Auteur ; Schueller, Gerhart L., Éditeur scientifique |A tuned mass damper with a nonlinear power law viscous damper excited by white noise is considered. The System is analyzed by statiscal linearization and stochastic simulation with the objective of minimizing the standard deviation of the respo[...]
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Der Kiureghian, Armen, Auteur ; Haukaas, Terje, Auteur ; Schueller, Gerhart L., Éditeur scientifique |Finite element reliability methods allow the analyst to define material, load, and geometry parameters as random variables to represent uncertainties in these model parameters. Approximate probabilistic analysis methods produce estimates of the [...]
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Muhanna, Rafi L., Auteur ; Mullen, Robert L., Auteur ; Zhang, Hao ; Schueller, Gerhart L., Éditeur scientifique |A New approach for archieving guaranteed reliable results within the context of finite-element approximation of mechanical systems is developed. A Reliable analysis requires that all the sources of uncertainty and errors be accommodated. The App[...]
Article : texte imprimé
Sanjay R. Arwade, Auteur ; Schueller, Gerhart L., Éditeur scientifique ; Mircea Grigoriu, Auteur |A two part probabilistic model for polycrystalline microstructures is described. The model utilizes a Poisson.Voronoi tessellation for the grain geometry and a vector random field model for the crystallographic orientation. The grain geometry mo[...]
