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Record W7028367533

Experimental study and numerical simulation of the behaviour of viscoelastic materials to reduce the vibrations on board ships

2017· dissertation· en· W7028367533 on OpenAlexaboutno aff

Bibliographic record

VenueArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) · 2017
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsNoise (video)VibrationReliability (semiconductor)Transmission (telecommunications)Noise reduction
DOInot available

Abstract

fetched live from OpenAlex

Nowadays, noise and vibrations are the main factors for evaluating comfort levels on board ships. In the case of luxury vessels, such as cruise ships and mega-yachts, the required high levels of comfort are achieved through the mitigation of noise and vibrations generated by onboard sources. In this thesis the reduction of vibrations on board ships with the application of viscoelastic materials by means of the use of floating floors and the application of viscoelastic materials on the structures are studied.\nConcerning floating floors, several studies have been undertaken to demonstrate their effectiveness in isolating the receiving structures in ships, such as the passenger cabins, and also to evaluate their performance. However, there is a lack of design methods for controlling the capability of floating floors to diminish structure borne noise levels, and neither standard procedures to test their Transmission Loss. In the case of the application of viscoelastic materials, several studies have been done for their use in the aerospace and automotive fields, proving their effectiveness to reduce the structure borne noise and vibration levels. Despite the application of viscoelastic materials in the maritime industry for several years, their use is based mainly on the experience of shipyards and sub-contractors, since there is still a lack of a standard procedure for the design of these damping solutions, which is why, more research should be carried out in order to generate mathematical models and design procedures to allow ship designers to simulate more accurately the effects of this treatment on marine structures.\nRegarding the floating floors, a procedure has been developed for the design of new floating floors for marine applications, with the objective to improve their capabilities of isolating the receiving structures from structure borne noise. The procedure first uses Finite Element simulations to optimise the resilient material to be used for the decoupling of the receiving structure from the vibrating structure, as well as the structural beam supporting the resilient material. The optimal configurations are then built into prototypes for laboratory tests to validate the Finite Element models, to identify the floating floor resonances and to evaluate the Transmission Loss levels. The results of the research activity show the effectiveness of the proposed procedure and emphasise the importance of the experimental tests to validate the outcome of the numerical simulations. On the subject of the application of viscoelastic materials on board ships, a method is proposed to perform laboratory tests for the measurement of the Loss Factor of viscoelastic materials applied on rectangular plates, using the same theoretical background of the ASTM E756 standard, without recurring to highly precise and costly equipment. This study represents the starting point for the base of a long term joint research among the Memorial University of Newfoundland, the University of Trieste and C.S.N.I. scarl, that has as final objective the definition of a rational approach for an optimal application of viscoelastic materials in marine structures to better control the structure borne noise on board ships.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.255
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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