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Prediction Models with Multiple Linear Regressionfor Improving Acoustic Performance of Textile Industry Plants

Yaman Muammer, Kurtay Cüneyt, Ulukavak- Harputlugil Gülsu

Archives of Acoustics

2025

Vol. 50, nr 1

3--16

In industrial plants noise is a major threat to the mental and physical health of employees. The risk increasesmore due to the presence of high noise sources and the presence of too many employees in textile industryplants. This paper aims to predict the consequences of variables that may arise in the plants for acousticimprovement in textile industry plants. For this purpose, scenario plants have been created according to archi-tectural properties and source-transmission path-receiver characteristics. The acoustic analyses of the scenarioplants were performed in the ODEON Auditorium, andA-weighted sound pressure level (LA), noise reduc-tion (NR), and reverberation time (RT) were determined. From the data, prediction equations were createdwith a multiple linear regression (MLR) model. To test the prediction equations, acoustic measurements weremade, and acoustics improvements were carried out at a textile industry plant located in T ̈urkiye. When theobtained results, the success, validity, and reliability of the prediction method are provided. In conclusion,the effect of architectural properties and the surface absorption on acoustic improvements in the textile in-dustry was revealed. It was emphasized that prediction methods can be used to determine the effectiveness ofinterventions that can be applied in different facilities and can be improved in future studies.

Application of acoustic analysis with BIM and prediction of reverberation time

Yaman Muammer

Architecture Civil Engineering Environment

2025

Vol. 18, no. 1

87--95

Building Information Modeling (BIM) enables collaborative data transfer between architects and engineers throughout the entire building's life cycle. While BIM examines physical parameters and management processes, it presents challenges in architectural acoustic analysis. This study aims to evaluate acoustic effects and perform room acoustic analyses in BIM tools that enable significant productivity gains in the construction industry and digitally support the planning, construction, and operation of structures. The research focuses on the prediction of the reverberation time, which is a main acoustics parameter. The literature review was conducted with a comprehensive bibliometric analysis. Using Autodesk Ecotect, acoustic analyses were performed on an educational building as a case study. Reverberation times were calculated at mid-frequencies (500, 1000, 2000 Hz) in 1/3 octave bands. Suggestions to reduce high reverberation times due to reflective room conditions were developed and tested within the BIM tool. In conclusion, it was emphasized that design/renovation/improvement scenarios for acoustic analysis can be tested with BIM. It has been determined that the determination of the level of effect of other components with acoustic treatments made on BIM platforms can also provide added value to the projects designed according to outsourcing acoustic software.