Titlebook: Computational Methods in Stochastic Dynamics; Volume 2 Manolis Papadrakakis,George Stefanou,Vissarion Pap Book 2013 Springer Science+Busine

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6.4.2 The tidal dynamical equations,ainty propagation algorithms, and (iii) non probabilistic algorithms. All of these approaches are based on some a priori assumptions about the nature of design variables uncertainty and on the models and systems behavior. Some of these assumptions could misrepresent the original problem and, consequ

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6.1 Classification and basic features,cal loading. In order to take into account uncertain data of reinforced concrete, fuzzy and fuzzy stochastic analyses are presented. The capability of the fuzzy dynamical analysis is demonstrated by an example in which a steel bracing system and viscous damping connectors are designed to enhance the

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6.4.2 The tidal dynamical equations,oring (SHM) emerged as a multidisciplinary field with wide applicability throughout the various branches of engineering, mathematics and physical sciences. However, significant challenges associated with modeling the physical complexity of systems comprising these structures remain. This is mainly d

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6.2.3 The energy density spectrum, stages which requires accurate numerical models. The enhancement of numerical models based on experimental data is denoted model updating and focuses on the improvement of the correlation between finite element (FE) model and test structure. In aerospace industry the examination of the agreement be

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6.1 Classification and basic features,his study, we proved both theoretically and numerically that there will be surface waves in a half space which has small, random density, but the mean value of the density is homogeneous. Historically, this type of half space is often treated as a homogeneous one with deterministic methods. In this