Inverse Sound Insulation Prediction to Double-Leaf Walls

With respect to the high sound insulation requirement for a building, the double-leaf walls structure may be considered to employ. The Statistic Energy Analyses (SEA) can be applied to predict the sound insulation of a specified double-leaf wall. On the other hand, realistic engineering practice is a process of inversed sound insulation prediction, i.e. sound insulation requirement is merely known, the configuration and materials of a structure should be determined through inversed prediction. This paper, thus, adopted the artificial immune algorithm to establish the inverse sound insulation prediction model for double-leaf walls. By the proposed model, surface density, the thickness, the Young´s modulus (or the longitudinal sound wave speed) of each panel and thickness of cavity will be predicted from inverse direction. Therefore, the material and even the configuration of a double-leaf wall can also be determined.