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WAVE TRAPPING BARRIERS. Traditional noise barriers have poor performance when installed as parallel barriers in front of noise sources with large reflection surfaces. This is because that the reflected noise from the far side barrier or from the source surfaces contributes significantly to the noise level at the receiver location. This project involves the investigation of a novel barrier, the wave trapping barrier (WTB), which is capable of retaining the noise between the source and the barrier ....WAVE TRAPPING BARRIERS. Traditional noise barriers have poor performance when installed as parallel barriers in front of noise sources with large reflection surfaces. This is because that the reflected noise from the far side barrier or from the source surfaces contributes significantly to the noise level at the receiver location. This project involves the investigation of a novel barrier, the wave trapping barrier (WTB), which is capable of retaining the noise between the source and the barrier and to provide maximum sound absorption at the frequencies of concern, and thus to minimize the contribution due to the reflection. The aim is to develop a theoretical and experimental model for the physical understanding and optimal design of the WTB. Outcomes include a new generation of noise barriers that are potentially light-weighted, fiberless and with higher insertion loss.Read moreRead less
Application of Optimisation Techniques to the Truck/Loader Selection Problem in Mining. Australia has world class deposits of most major mineral commodities and is a major producer and exporter of coal and many metals. The mining industry has an annual turnover of around $40 billion. A significant component (up to 55%) of mining costs is material handling. This project aims to develop computational tools for determining the best selection of trucks and loaders for the mining operation. To da ....Application of Optimisation Techniques to the Truck/Loader Selection Problem in Mining. Australia has world class deposits of most major mineral commodities and is a major producer and exporter of coal and many metals. The mining industry has an annual turnover of around $40 billion. A significant component (up to 55%) of mining costs is material handling. This project aims to develop computational tools for determining the best selection of trucks and loaders for the mining operation. To date this important problem has not been addressed. Our strategy is to develop accurate mathematical models and cutting edge optimisation techniques for their solution. The research outcomes will have significant outcomes for the mining industry.Read moreRead less