| dc.description.abstract | The thesis aims to investigate the ability of various types of pavements to reduce road traffic noise on the building façade and indoors at Sletteløkka, Oslo. The study involves field measurements and prediction calculations. The calculation has been conducted in CadnaA software in octave bands in the frequency range 63 Hz - 8 kHz, according to a common noise assessment method developed in the European Union (CNOSSOS-EU). Measured global Lden is 71,5 dB(A) and LAeq,24h is 65,6 dB(A), while calculated Lden is 70 dB(A) andLAeq,24h is 66,4 dB(A) outside the façade in Linderudlsetta 9b in the area of interest. On the other hand, measured global Lden indoor is 36,5 dB(A), while calculated Lden indoor is 35 dB(A). The deviation between the measurement and the model corresponds to CNOSSOS uncertainty of ±2dB(A); thus, the model can predict noise levels as a part of strategic noise planning.
The model yields noise levels outside the façade at Linderudsletta 9b and Sletteløkka 33a. Estimated global Lden indoors is 36,5 dB(A) and 26,1 dB(A) respectively. The investigated noise measures at the source are road surface measures (alternative pavements), noise screening, and traffic management measures (reduction in traffic volume and vehicle speed). According to the findings, the latter indicates a significant indoor noise level reduction of 5-6 dB. | |
