Statistical analysis determines optimal acoustic tests for building classification, suggesting economic feasibility and standards compliance.
The classification of residential buildings based on acoustic performance is crucial for ensuring occupant comfort and meeting regulatory standards. However, determining the minimum number of acoustic tests required to achieve reliable classification remains a significant challenge, particularly in regions where acoustic standards are still under development. This study addresses this issue by proposing a statistical approach to determine the optimal number of tests, based on real-world data collected from a multi-story residential building. The analysis evaluates the variability in acoustic performance across different floors and construction conditions, providing insights into the number of tests needed to ensure consistent and accurate classification. The results are compared with international standards, such as ISO/TS 19488:2021, to assess their applicability in different contexts. The findings aim to support the development of robust acoustic classification criteria, balancing technical reliability with economic feasibility, and offering practical recommendations for professionals involved in acoustic assessments and building classification.
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Duarte et al. (2025) studied this question.
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