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Description
The in-situ verification of airborne and impact sound insulation in buildings relies on acoustic measurements that are necessarily limited in number. In practice, each country defines its own sampling approach based on local construction practices and economic feasibility. Typically, representative rooms are tested instead of the entire building, assuming repetition in architectural layout and construction solutions.This paper analyses the relationship between sampling strategy, number of acoustic tests, and the accuracy of sound insulation assessments in residential buildings. A reference building model is used to generate a complete set of synthetic measurements by combining calculated sound insulation values with realistic experimental uncertainty. A bootstrap resampling approach is applied to quantify the deviation introduced by reduced sampling schemes and to identify optimal testing strategies for compliance verification.The aim is to identify sampling strategies that balance measurement effort and reliability, providing quantitative criteria for minimum sampling. To the authors’ knowledge, no prior study has systematically addressed the statistical basis of acoustic sampling in buildings. The main limitation of the study is that it relies on calculated acoustic data. Nevertheless, the validity of this assumption should be confirmed through a dedicated experimental measurement campaign.