Abstract
This research aims to evaluate the reliability of computational simulation by analyzing data from simulations and field measurements (MC) of 14 case studies, in relation to internal vertical partition systems (SVVI). Comparative analysis of 75 SVVI results, SC and MC data showed that more than 50% of the simulation data showed values compatible with the in-field measurement, in the sense that they were considered potentially equal, taking into account the uncertainty of the predicted field measurement. in the evaluation methodology contained in the standard, in the order of ±2 dB. This acceptability refers to the values within the ±2 dB range of the aforementioned uncertainty. The data also showed variation between SC and MC, sometimes presenting larger SC, sometimes larger MC. The predicted hypothesis was that SC would always be higher due to the ideal conditions of the simulation, which do not occur in the field. However, where situations of MC greater than SC occurred, it was deduced that deciding on the simulation means choosing to work in favor of safety, since the minimum level of the standard is projected and better results are obtained in the field. It was also verified, through variation of the input data, that the fidelity with the technical specification of the designed systems reproduces reliable values, and the opposite, results in doubtful and discrepant data. In general, the results of the comparative analysis point to the use of computer simulation as positive, since part of the percentage that is not acceptable in this study represents doubtful measurements, and therefore, the simulation is an effective predictive tool and useful in the search for acoustic quality in residential buildings.
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Rezende, E.C.L., Costa e Silva, A.J., Azevedo, A.C., Delgado, J.M.P.Q. (2021). Acoustic Performance Criteria in Internal Vertical Partitions: Numerical Simulations and In-Field Measurements. In: Delgado, J.M.P.Q. (eds) Case Studies of Building Rehabilitation and Design. Building Pathology and Rehabilitation, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-71237-2_5
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