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A modal model using linear modes of the straight clamped clamped beam with a randomized stiffness matrix is employed to characterize the linear dynamic behavior of the uncertain beams.
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Under the action of loads, changing material property, structural reinforcement and so on, dam behavior expresses the uncertain variation characteristics.
In this paper, the variance decomposition method is adopted to identify key parameters which influence the uncertain behavior of the passive Residual Heat Removal system (RHRs) in the High Temperature Gas-Cooled Reactor (HTGR).
In the past hydrologists were always aware of the uncertain behavior of hydrological processes and were well used to cope with it, mainly through expert knowledge.
Such usage of L R fuzzy numbers is more generic as compared to the conventional triangular or trapezoidal fuzzy numbers and is a closer representation of uncertain behavior of the asset parameters.
For the purposes of this study, breast cancer was defined by the following International Classification of Diseases 9th Revision – Clinical Modification (ICD9-CM) codes: 174, carcinoma of the breast; 233.0, in situ carcinoma of the breast; 238.3, neoplasm of uncertain behavior of the breast; or 239.3, neoplasm of unspecified nature of the breast, in any position of the HDR database.
From the identified RBF-ARX model, a local linearization state-space model that considers the modeling error and bounded uncertain disturbance is obtained to represent the current behavior of the nonlinear system, and a polytopic uncertain linear parameter varying (LPV) state-space model is built to represent the future system's nonlinear behavior between the output deviation and input increment.
From the above discussion of results, it was observed that SRSM models are capable to analyze the stochastic behavior of uncertain variable and also these models are performs better than the conventional regression model to model travel time distribution.
On the basis of the RBF-ARX model with considering the system time delay, a local linearization state-space model is obtained to represent the current behavior of the nonlinear system, and a polytopic uncertain linear parameter varying (LPV) state-space model is built to represent the future system's nonlinear behavior.
In particular, focus is on describing the shakedown behavior of uncertain elasto-plastic systems driven by stochastic wind loads.
To optimize the development plan for an underdeveloped reservoir associated with many uncertain parameters and subjected to this method of enhanced oil recovery, it is necessary to determine the effect of uncertain parameters on the behavior of the oil reservoir.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com