On the efficiency of impact sound insulation systems on prefabricated lightweight floor and on standard homogeneous base-floor

2019 ◽  
Vol 191 ◽  
pp. 649-657 ◽  
Author(s):  
A. Alonso ◽  
J. Patricio ◽  
R. Suárez
1995 ◽  
Vol 04 (01n02) ◽  
pp. 73-91 ◽  
Author(s):  
EIJI UCHINO ◽  
TAKESHI YAMAKAWA

This paper describes a new approach to system modeling by using a neo-fuzzy-neuron. The target system is modeled adaptively by simply feeding its input and output data to the neo-fuzzy-neuron, whose basic principle was proposed by the authors in 1992. Firstly, the neo-fuzzy-neuron is applied to the restoration of a saturated and/or intermittent speech or chaotic signal to show its actual effectiveness. It is then enhanced in order to get a better generalization capability. The enhanced version of the neo-fuzzy-neuron could facilitate to identify clearly the nonlinear chaotic system, and could most likely predict the future behavior of the system. The neo-fuzzy-neuron was further applied to the identification of actual sound insulation systems. The application was a success and provided promising results.


2012 ◽  
Vol 174-177 ◽  
pp. 1589-1592
Author(s):  
Ming Gang Xu ◽  
Xu Wang ◽  
Zhuo Wei Ding

The outer-wall thermal insulation system has been wide used in civil engineering as an effective energy-saving measure. At present, the organic flammable thermal insulation materials such as EPS and XPS are used in outer-wall thermal insulation system in China, which leads to great fire damage probably. The rock-wool is described in detail on its merits such as good thermal insulation performance, good sound insulation performance, light weight, low thermal conductivity coefficient, incombustibility, innocuity and stable chemical capability. Two popular outer-wall external thermal insulation systems are introduced. The construction sequence of the outer-wall external thermal insulation system with rock-wool slabs, mortar and thin layer plastering technology is described.


2018 ◽  
Vol 8 (5) ◽  
pp. 703 ◽  
Author(s):  
Daniel Urbán ◽  
N.B. Roozen ◽  
Herbert Muellner ◽  
Peter Zaťko ◽  
Alexander Niemczanowski ◽  
...  

2021 ◽  
Vol 263 (6) ◽  
pp. 257-266
Author(s):  
Nurkan Turkdogru Gurun ◽  
Jonathan Chen ◽  
Frederick Ward ◽  
Matthew Wilcox ◽  
Zhiming Luo

Aircraft interior acoustic design is a key influencer for cabin comfort. An essential part of the design is optimization of acoustic insulation systems under weight restrictions to create a pleasant environment for human ear. Considering the complexity of aircraft geometry, noise sources, and transfer paths, computational prediction techniques become invaluable tools for increasing the accuracy in material selection while reducing design time and costs. In this study, a procedure that integrates sound quality evaluation with Statistical Energy Analysis (SEA) to design aircraft acoustic insulation systems is described. SEA is employed to predict the cabin sound pressure levels of a narrow body aircraft insulated with sound absorption and vibration damping materials. Aircraft cabin including under-floor sections is modelled based on 3D airframe and VIP style interior design and the model is validated with flight test data. Transfer functions obtained from SEA model for selected transfer paths are utilized to filter the noise signal recorded with a binaural recording system during flight. Sound quality metrics are computed in order to map perceptive response. An iterative process is introduced to improve acoustic design by investigating the effects of different sound insulation systems and room absorption values on noise levels and sound quality metrics.


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