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Investigating the Feasibility of Using Dynamic Stiffness Beam Functions in a Hybrid Structure-Borne Noise Prediction Model.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Investigating the Feasibility of Using Dynamic Stiffness Beam Functions in a Hybrid Structure-Borne Noise Prediction Model./
作者:
Filipe, Daniela Duarte.
面頁冊數:
1 online resource (227 pages)
附註:
Source: Masters Abstracts International, Volume: 83-03.
Contained By:
Masters Abstracts International83-03.
標題:
Propagation. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28467660click for full text (PQDT)
ISBN:
9798505518274
Investigating the Feasibility of Using Dynamic Stiffness Beam Functions in a Hybrid Structure-Borne Noise Prediction Model.
Filipe, Daniela Duarte.
Investigating the Feasibility of Using Dynamic Stiffness Beam Functions in a Hybrid Structure-Borne Noise Prediction Model.
- 1 online resource (227 pages)
Source: Masters Abstracts International, Volume: 83-03.
Thesis (M.Sc.(Res.))--University of Salford (United Kingdom), 2019.
Includes bibliographical references
Ground-borne vibration and structure-borne noise in buildings associated with nearby railway systems, either above ground or underground, is a common occurrence in densely populated areas. This is especially true where new transportation systems are built in proximity to existing noise and vibration sensitive buildings, and where similar buildings are built close to existing rail systems. With the tendency to build closer to railways both overground and underground, there is a need to better understand how to predict the levels of ground-borne vibration and structure-borne noise in buildings from such systems. A review of the mechanisms through which energy is generated from train sources and propagates into buildings, as well as a review of the existing empirical and theoretical models for the prediction of structure-borne noise in buildings has been undertaken. A proposal for the simplification of an existing hybrid deterministic - statistical model for the prediction of structure-borne noise in buildings has been put forward and its feasibility investigated. The original model consists of a hybrid finite element - statistical energy analysis tool, where low frequencies are modelled deterministically with finite element, and the higher frequencies are modelled statistically. In the simplified model, the deterministic elements of the system, i.e. beams and columns, are proposed to be modelled using a dynamic stiffness approach.The analytical mobility functions for free-free beams with six degrees of freedom at each end have been derived from first principles. The results from these were compared against a finite element model for the same beam arrangement. Good agreement was found between the results of the analytical and finite element models. The coupling between beams has been accounted for by using the impedance addition method. Various scenarios were modelled. Good agreement was obtained with a finite element model for the two beams in line scenario. Discrepancies were present for some of the degrees of freedom coupled for the beams in L-junctions scenarios. Further works have been suggested to address these. A comparison between the various stages of the full and simplified hybrid prediction models has been provided, along with suggestions for the next steps to further develop and assemble the proposed simplified model.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798505518274Subjects--Topical Terms:
3680519
Propagation.
Index Terms--Genre/Form:
542853
Electronic books.
Investigating the Feasibility of Using Dynamic Stiffness Beam Functions in a Hybrid Structure-Borne Noise Prediction Model.
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Investigating the Feasibility of Using Dynamic Stiffness Beam Functions in a Hybrid Structure-Borne Noise Prediction Model.
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Ground-borne vibration and structure-borne noise in buildings associated with nearby railway systems, either above ground or underground, is a common occurrence in densely populated areas. This is especially true where new transportation systems are built in proximity to existing noise and vibration sensitive buildings, and where similar buildings are built close to existing rail systems. With the tendency to build closer to railways both overground and underground, there is a need to better understand how to predict the levels of ground-borne vibration and structure-borne noise in buildings from such systems. A review of the mechanisms through which energy is generated from train sources and propagates into buildings, as well as a review of the existing empirical and theoretical models for the prediction of structure-borne noise in buildings has been undertaken. A proposal for the simplification of an existing hybrid deterministic - statistical model for the prediction of structure-borne noise in buildings has been put forward and its feasibility investigated. The original model consists of a hybrid finite element - statistical energy analysis tool, where low frequencies are modelled deterministically with finite element, and the higher frequencies are modelled statistically. In the simplified model, the deterministic elements of the system, i.e. beams and columns, are proposed to be modelled using a dynamic stiffness approach.The analytical mobility functions for free-free beams with six degrees of freedom at each end have been derived from first principles. The results from these were compared against a finite element model for the same beam arrangement. Good agreement was found between the results of the analytical and finite element models. The coupling between beams has been accounted for by using the impedance addition method. Various scenarios were modelled. Good agreement was obtained with a finite element model for the two beams in line scenario. Discrepancies were present for some of the degrees of freedom coupled for the beams in L-junctions scenarios. Further works have been suggested to address these. A comparison between the various stages of the full and simplified hybrid prediction models has been provided, along with suggestions for the next steps to further develop and assemble the proposed simplified model.
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