Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade ....Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade tiles or panels, laser sensing technology, deep learning algorithms and drone technology. Outcomes of this project are critical for implementing the new technology for enhanced safety to community and the development of new procedures for driving down maintenance costs of the external façade of high-rise buildings.Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.Read moreRead less
Development of Novel Concrete Noise Walls Incorporating Recycled Materials. This project will develop high-performance, lightweight, concrete noise walls and acoustic barriers that use recycled tyre and glass products to improve sound absorption, and address environmental problems associated with the mining of river sands, and stockpiling of waste tyre and glass products. Innovation in noise wall technology consists in developing low-carbon concrete mixes (using less cement) with a maximum amoun ....Development of Novel Concrete Noise Walls Incorporating Recycled Materials. This project will develop high-performance, lightweight, concrete noise walls and acoustic barriers that use recycled tyre and glass products to improve sound absorption, and address environmental problems associated with the mining of river sands, and stockpiling of waste tyre and glass products. Innovation in noise wall technology consists in developing low-carbon concrete mixes (using less cement) with a maximum amount of recycled product, together with reducing wall thickness, while maintaining the necessary engineering properties such as acoustics, strength, and durability. In addition to higher acoustic insulation, the novel low-carbon, lightweight, panels will improve material handling and affordability of noise barriers.Read moreRead less