3 edition of **Review of probabilistic analysis of dynamic response of systems with random parameters** found in the catalog.

Review of probabilistic analysis of dynamic response of systems with random parameters

- 60 Want to read
- 29 Currently reading

Published
**1989**
by NASA Langley Research Center in [Hampton, Va.]
.

Written in English

- Displacement.,
- Dynamic response.,
- Frequency response.,
- Large space structures.,
- Probability theory.,
- Random variables.,
- Resonant frequencies.,
- Velocity distribution.

**Edition Notes**

Statement | by F. Kozin and J.M. Klosner. |

Series | NASA contractor report -- NASA CR-186171. |

Contributions | Klosner, J. M., Langley Research Center. |

The Physical Object | |
---|---|

Format | Microform |

Pagination | 1 v. |

ID Numbers | |

Open Library | OL16125541M |

Strategy for selecting representative points via tangent spheres in the probability density evolution method. This course introduces students to the modeling, quantification, and analysis of uncertainty. The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.

The basic random variables on which random uncertainties can in a given model depend can be viewed as defining a measure space with respect to which the solution to the mathematical problem can be Cited by: Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for .

In analysis of algorithms, probabilistic analysis of algorithms is an approach to estimate the computational complexity of an algorithm or a computational problem. It starts from an assumption about a probabilistic distribution of the set of all possible inputs. This assumption is then used to design an efficient algorithm or to derive the complexity of a known algorithm. A recently proposed concept of interval field is implemented to model the intrinsic spatial dependency of the uncertain-but-bounded system parameters. By employing the appropriate discretization scheme, evaluations of natural frequencies for engineering structures involving interval fields can be executed within the framework of the finite element : Jinwen Feng, Qingya Li, Alba Sofi, Guoyin Li, Di Wu, Wei Gao.

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Get this from a library. Review of probabilistic analysis of dynamic response of systems with random parameters. [F Kozin; J M Klosner; Langley Research Center.].

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In the present paper, a probability de With the state equation expression, the PDEE is further reduced to a one-dimensional partial differential by: ABSTRACT: Risk Analysis Virtual Environment (RAVEN) is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes.

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Then E [XA] = Pr {A}. 9 / 19 Effects of uncertainties on the dynamic response of the nonlinear vibration systems with general form are investigated. Based on interval mathematics, modeling the uncertain parameters as interval numbers, a non-probabilistic interval analysis method, which estimates the range of the nonlinear dynamic response with the help of Taylor series expansion, is presented, where the partial Cited by: Based on interval mathematics, modeling the uncertain parameters as interval numbers, a non-probabilistic interval analysis method, which estimates the range of the nonlinear dynamic response.

The probability density evolution method (PDEM) for dynamic responses analysis of non-linear stochastic structures is proposed. In the method, the dynamic response of non-linear stochastic structures is firstly expressed in a formal solution, which is a function of the random parameters.

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As a numerical example, a simple piping system is considered as an example structure. The damping and spring constants of the support are considered as the uncertain : Byung-young Moon, Beom-soo Kang, Jung-hyen Park. year t +1 begins, the bass in the lake multiply by a random factor D, where P(D = d) = q(d).

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At present, the lake conta Size: KB. Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters Dorin Maxim 1,2 3, Liliana Cucu-Grosjean 1 Universite de Lorraine, LORIA, UMRF, France 2 CNRS, LORIA UMRVandoeuvre-les-Nancy, F, France 3 INRIA Nancy-Grand Est, Villers-les-Nancy, F, France @, @ In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis, prediction of reliability, and system control of structures within the innovative theoretical framework of physical stochastic systems.

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() PDEM-Based Perspective to Probabilistic Seismic Response Analysis and Design of Earthquake-Resistant Engineering Structures.

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The FEM is used to derive the deterministic analysis : Chao Fu, Xingmin Ren, Yongfeng Yang. Analyzing Probabilistic Programs with Dynamic Logic Tong Cheng School of Computer Science and Technology Huazhong University of Science and Technology Wuhan, HubeiChina Email: [email protected] Abstract—We present a uniﬁed framework for the analysis of probabilistic programs based on Dynamic Logic in which.The analysis of structures, whether subjected to random or deterministic external loads, has been developed mainly under the assumption that the structure’s parameters are deterministic quantities.

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