Innovative railway vehicle systems such as high-speed rail, maglev,; emerging transportation concepts are expected to reduce conventional noise sources related to wheel–rail ; aerodynamic interactions. As these changes alter the acoustic characteristics inside railway cabins, reliable laboratory reproduction of interior noise becomes increasingly important for evaluating passenger acoustic comfort; guiding sound design during vehicle development. Innovative railway vehicle systems such as high-speed rail, maglev,; emerging transportation concepts are expected to reduce conventional noise sources related to wheel–rail; aerodynamic interactions. As these changes alter the acoustic characteristics inside railway cabins, reliable laboratory reproduction of interior noise becomes increasingly important for evaluating passenger acoustic comfort; guiding sound design during vehicle development. The study focuses on practical methods for assessing reproduction accuracy. Conventional validation of reproduced sound fields typically relies on sound pressure level; spectral matching; however, these metrics alone may not fully reflect perceptually relevant differences between in-situ ; reproduced environments. In this work, sound quality indices are employed as complementary evaluation metrics to examine whether reproduced sound fields maintain perceptually meaningful characteristics of the original cabin noise. Comparisons between in-situ recordings; reproduced sound fields were conducted in terms of overall sound pressure level, frequency characteristics,; selected sound quality indices. In addition, the influence of loudspeaker number; spatial configuration on reproduction performance was examined. The results show that sound quality–based evaluation provides useful additional information for assessing perceptual fidelity ; for optimizing spatial sound reproduction systems for railway cabin noise. The proposed reproduction platform supports laboratory-based assessment of interior railway noise; provides a practical framework for perceptually informed acoustic evaluation; noise control during the design of next-generation railway vehicles.
Yonghee Lee Ph D. Mechanical Engineeing. Ultrasonic, Acoustic, SHM, NDE, fNIRS, and Bio-medical engineering. Contact: [email protected] Institute: Changwon National Uniersity, South Korea
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