Semi-analytical prediction of energy-based acoustical parameters in proscenium theatres
Year: 2024
Type: article
Abstract: • Room acoustic parameters are measured and analyzed in seven proscenium theatre cases. • A new semi-analytical model is developed based on the measured early and late strengths. • The proposed model has significant improvement over commonly used prediction models. • The new model predicts the energy-based acoustic parameters with reasonable accuracy. • This model can be used for point-by-point predictions in stall of proscenium theatres. Previous studies of the authors have shown that there are limitations when the existing acoustic energy models are applied to theatres. In the present study, a new semi-analytical model is developed based on site surveys and scale model measurements, aiming to overcome these limitations and provide a reliable prediction of the most relevant energy-based monaural parameters: clarity C 80 , definition D 50 , center time T S , sound strength G , early strength G 80 and late strength G L , in the stall of proscenium theatres for a comprehensive evaluation of the acoustic quality. Three full-size halls plus two scale model cases of another hall, which differ in dimension, acoustical condition and style of interior decoration, have been exploited as a sample for data analysis to propose the model, and another two halls not included in the sample are chosen for model validation. The results reveal that the proposed model has significant improvement in prediction accuracy than the existing theory initially developed for concert halls. The good agreement between the predicted values of the six energy-based acoustical parameters (i.e., G 80 , G L , G , C 80 , D 50 and T S ) by the new model and those measured indicates that this model can be used for point-by-point predictions in the stall area of proscenium theatres with reasonable accuracy.
Source: Applied Acoustics
Authors: Jianliang Gao, Shiu Keung Tang, Yuezhe Zhao, Lili Pan, Yangsheng Cai, Shuoxian Wu, Michael Vorländer
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,710
Awards: G139137991, G6094977864, G8612318355
OpenAlex ID: W4404022042
