Auteur Arvid Naess
Documents disponibles écrits par cet auteur (16)
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Zdenek P. Bazant, Auteur ; Arvid Naess, Éditeur scientifique ; Novak, Drahomir ; Vorechovsky, Miroslav, Auteur |An improved form of a recently derived energetic-statistical formula for size effect on the strength of quasibrittle structures failing at crack initiation is presented and exploited to perform stochastic structural analysis without the burden o[...]
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M. T. Sichani, Auteur ; S. R. Nielsen, Auteur ; Arvid Naess, Auteur |This paper discusses the estimation of the failure probability of wind turbines required by codes of practice for designing them. The Standard Monte Carlo (SMC) simulations may be used for this reason conceptually as an alternative to the popula[...]
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Aicher, Simon, Auteur ; Arvid Naess, Éditeur scientifique ; Reinhardt, Hans-Wolf ; Kloke, Wolfgang, Auteur |This paper addresses the size effect of inplane bending strength as well as Mode I fracture toughness and process zone length of wood fiber-reinforced gypsum panels. Wood fiber gypsum panels represent an incombustible short fiber composite mate[...]
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Mircea Grigoriu, Auteur ; Arvid Naess, Éditeur scientifique |Algebraic equations with random coefficients, referred to as stochastic algebraic equations, are used extensively to solve approximately differential equations describing mechanics problems with uncertain material properties and applied loads. T[...]
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Yim, Solomon C. S., Auteur ; Yuk, Dongjun, Auteur ; Arvid Naess ; Shih, I-Ming ; Ross B. Corotis, Éditeur scientifique |A single-degree-of-freedom nonlinear structural system under narrowband random excitation can exhibit very complex global and local response behaviors. In order to develop a stochastic method to analyze the nonlinear responses, the system under [...]
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Yuk, Dongjun, Auteur ; Yim, Solomon C. S., Auteur ; Arvid Naess ; Shih, I-Ming ; Ross B. Corotis, Éditeur scientifique |The response behavior of the single-degree-of-freedom (SDOF) nonlinear structural system subjected to narrowband stochastic excitations studied in Part I is investigated via simulations to verify the stochastic system characteristics assumed in [...]
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Nilanjan Saha, Auteur ; Arvid Naess, Auteur |In the present paper, a simple method is proposed for predicting the extreme response of uncertain structures subjected to stochastic excitation. Many of the currently used approaches to extreme response predictions are based on the asymptotic g[...]
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Arvid Naess, Auteur ; O. Gaidai, Auteur |The development of simple accurate, and efficient methods for estimation of the extreme response of dynamical systems subjected to random excitations is discussed in the present paper. The key quantity for calculating the statistical distributio[...]
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Mircea Grigoriu, Auteur ; Arvid Naess, Éditeur scientifique |Bounds on and approximations of the distribution of a non-Gaussian vector X specified partially by the marginal distributions Fi of its coordinates Xi or the marginal distributions Fi and some information on the correlation structure of X are de[...]
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Arvid Naess, Auteur ; O. Gaidai, Auteur ; Batsevych, O., Auteur |The paper focuses on the development of a general method for extreme response estimation of dynamical systems subjected to random excitations. One of the most important elements in structural safety is an assessment of the exceedance or failure[...]
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M. F. Dimentberg, Auteur ; E. Mo, Auteur ; Arvid Naess, Auteur |A single-degree-of-freedom system under periodic excitation with random phase modulation is considered. Probability density functions (PDF) of the response are obtained numerically using the path integration method. Basic results are presented i[...]
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Sen, Tapan K., Auteur ; Arvid Naess, Éditeur scientifique |Deep water developments are being pursued vigorously in various parts of the world (West Coast of Africa, Gulf of Mexico, etc.). The riser system is a critical part of the field architecture. Riser failure results in reduction or cessation of re[...]
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Liu, H., Auteur ; Arvid Naess, Éditeur scientifique ; Igusa, T. ; Sanjay R. Arwade, Auteur |A new method is introduced for characterizing and analyzing materials with random heterogeneous microstructure. The method begins with classifiers which process information from high-fidelity analyses of small-sized simulated microstructures. Th[...]
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Dimentberg, M., Auteur ; Lourtchenko, D., Auteur ; Arvid Naess ; Ghanem, Roger G., Éditeur scientifique |In the technical note a single-degree-of-freedom system with stationary random temporal variations of its stiffness is considered. The problem of short-term instability is studied. The analysis is based on a parabolic approximation of the random[...]
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Koutsourelakis, Phaedon-Stelios, Auteur ; George Deodatis ; Arvid Naess, Éditeur scientifique |This paper proposes a methodology for simulation of binary random fields with application to the problem of generating sample realizations of two-phase random media. The methodology is based on the concept of nonlinear transformations with memor[...]
