Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75401
Title: Natural frequencies of a vertical pipeline element
Authors: Sekacheva, A. A.
Pastukhova, L. G.
Alekhin, V. N.
Noskov, A. S.
Issue Date: 2019
Publisher: Institute of Physics Publishing
Citation: Natural frequencies of a vertical pipeline element / A. A. Sekacheva, L. G. Pastukhova, V. N. Alekhin et al. // IOP Conference Series: Materials Science and Engineering. — 2019. — Vol. 481. — Iss. 1. — 12019.
Abstract: This work is devoted to the problem of noise and vibration from the pipeline systems in multi-storey buildings. A method for determining the probability of the occurrence of increased vibrations using modal analysis in the ANSYS Workbench software package is proposed. Numerical analysis of straight sections of the pipeline, each differing in diameter and length, is performed. The results of the numerical analysis of the influence of the length, diameter, and wall thickness of a pipe system element on the change in the frequencies of its natural oscillations are presented with a view to predicting the risk of possible resonance regimes. Pairwise and multiple regression analyses are performed, and regression equations are obtained describing the functional relationship between the first frequency of the natural oscillations and the length, diameter, and wall thickness of the pipeline section. © 2019 Published under licence by IOP Publishing Ltd.
Keywords: CRITICAL INFRASTRUCTURES
MODAL ANALYSIS
NUMERICAL ANALYSIS
PUBLIC WORKS
REGRESSION ANALYSIS
RISK ASSESSMENT
SAFETY ENGINEERING
VIBRATION ANALYSIS
WALLS (STRUCTURAL PARTITIONS)
ANSYS WORKBENCHES
FUNCTIONAL RELATIONSHIP
MULTIPLE REGRESSION ANALYSIS
MULTISTOREY BUILDINGS
NATURAL OSCILLATION
NOISE AND VIBRATION
PIPELINE SECTIONS
REGRESSION EQUATION
PIPELINES
URI: http://elar.urfu.ru/handle/10995/75401
Access: info:eu-repo/semantics/openAccess
cc-by
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Conference name: 4th International Conference on Safety Problems of Civil Engineering Critical Infrastructures, Safety 2018
Conference date: 4 October 2018 through 5 October 2018
SCOPUS ID: 85063776537
WOS ID: 000471072600019
PURE ID: 9304997
ISSN: 1757-8981
DOI: 10.1088/1757-899X/481/1/012019
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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