Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Fergus R. Fricke"'
Publikováno v:
Applied Acoustics. 67:476-485
Previous work demonstrated that a multi-objective evolutionary algorithm could be successfully employed as an optimiser to make the design of flat-walled multi-layered anechoic linings more efficient. In the present work, such an algorithm is employe
Publikováno v:
The Journal of the Acoustical Society of America. 118:3104-3109
The concept of flat-walled multilayered absorbent linings for anechoic rooms was proposed three decades ago. Flat-walled linings have the advantage of being less complicated and, hence, less costly to manufacture and install than the individual units
Publikováno v:
Applied Acoustics. 65:1009-1026
Previous investigations indicated that a flat-walled, multi-layered anechoic lining system, with an overall thickness slightly less than a quarter of a wavelength, could be used to achieve a required cut-off frequency. However, the work proved to be
Publikováno v:
Applied Acoustics. 65:693-704
Computational intelligence (CI) techniques offer powerful alternatives for investigating acoustical issues and providing acoustical solutions to problems. This paper presents information on two CI techniques by applying them to the sound transmission
Autor:
Fergus R. Fricke, Joseph Nannariello
Publikováno v:
Applied Acoustics. 63:627-641
A method of predicting the early interaural cross-correlation coefficient (IACCE3) in unoccupied concert halls has been investigated using neural network analysis. Constructional and acoustical data for 36 unoccupied concert halls, in various countri
Autor:
Joseph Nannariello, Fergus R. Fricke
Publikováno v:
Building Acoustics. 9:5-28
A neural network approach to predicting the reverberation time, RT60, at the conceptual design stage of auditoria, and churches is presented. The results of investigations previously carried out indicated that there was a good basis for using trained
Autor:
Fergus R. Fricke, Joseph Nannariello
Publikováno v:
Applied Acoustics. 62:1397-1410
This paper deals with the schematic design of large rooms (concert halls) using artificial neural networks. Previously published research has shown that neural networks can be used to predict the acoustical attributes ( G , C 80 , LF and RT 60 ) of c
Autor:
Fergus R. Fricke, Joseph Nannariello
Publikováno v:
Applied Acoustics. 62:917-950
A method of predicting the G values (the strength factor in dB) in large enclosures, using artificial neural networks, has been investigated. ODEON 3.1 was used to determine the acoustical attributes (including G values) for 110 unoccupied ‘shoebox
Autor:
Fergus R. Fricke, Joseph Nannariello
Publikováno v:
Applied Acoustics. 62:951-977
A method of predicting the G values (the strength factor in dB), C 80 values (the clarity factor in dB) and LF (the lateral energy fraction) in concert halls has been investigated. Constructional and acoustical data for 72 unoccupied concert halls, i
Publikováno v:
Applied Acoustics. 62:749-767
At the schematic design stage of a classroom there is a need for an expeditious and accurate method of predicting the distribution of sound levels (speech levels). The objective of this work is to investigate the possibility of developing a method of