Supriyono, Toto and Ariantara, Bambang (2012) Prediction of sound reduction by the wall. Prosiding Konferensi Nasional Engineering Perhotelan III, 1 (1). pp. 25-30. ISSN -
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Abstract
This document explains prediction or estimation of sound reducing ability of several structure walls that would be use for an accommodation building or a container. There are eight groups (A, B, C, D, E, F, G, H type) of composite wall under consider and each wall consist of outside lining (ecoboard or sheet metal steel), light steel frame, insulation and inside lining (polywood, ecoboard, pvc linning or gypsum). Unwanted noise can travel through a building as mechanical vibrations of the structure or as airborne sound. Structural vibrations (e.g. the sound of footsteps in a neighboring room) can be reduced by minimizing the rigid paths connecting the source of sound to the walls of the room. To reduce the transmission of airborne sound it is necessary to consider the sound transmitting properties of the partition walls, and the areas of windows and other openings. There is a general rule called the mass law, which predicts the approximate sound reduction in a panel of mass per unit area m kg/m at frequency f Hz. This implies that doubling the mass per unit area of a partition increases the transmission loss by 6 dB; in practice between 4 and 5 dB is more realistic. A double leaf wall can provide much higher sound insulation for a given total mass, as long as the two partitions are well isolated. To meet the design criteria where the sound level pressure of source is 75 dBA and the sound level pressure in the receiver room is 40 dBA then the transmission loss of the wall required is 35 dBA. The walls type that can be selected to reduce the sound level pressure of source at 75 dBA to 40 dBA are wall A, B, C, D, G, or H type. Kata kunci: Insulation, sound reduction, wall 2
| Item Type: | Article |
|---|---|
| Subjects: | PROCEEDING |
| Divisions: | Fakultas Teknik > Teknik Mesin 2012 |
| Depositing User: | Irwan Kustiawan Kosasih |
| Date Deposited: | 19 Apr 2022 02:11 |
| Last Modified: | 19 Apr 2022 02:23 |
| URI: | http://repository.unpas.ac.id/id/eprint/56858 |
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