Making better decisions about built assets: learning by doing. This research will assist the built environment professions and their clients to make better decisions about new developments through a novel 'learning by doing' approach. Used successfully in other fields such as natural resource management, this idea will capitalise on the large number of asset investments undertaken to benchmark original stakeholder intentions and aspirations against the reality of current performance. Decisions w ....Making better decisions about built assets: learning by doing. This research will assist the built environment professions and their clients to make better decisions about new developments through a novel 'learning by doing' approach. Used successfully in other fields such as natural resource management, this idea will capitalise on the large number of asset investments undertaken to benchmark original stakeholder intentions and aspirations against the reality of current performance. Decisions will be re-evaluated in the context of contemporary economic, social and environmental criteria to enable existing multi-criteria models to deliver more sustainable outcomes that are also feasible and in the national interest, and consequently minimise the industry's current exposure to future climate change.Read moreRead less
Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to bu ....Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to build practical mathematical models for droplet impaction, spreading and evaporation on leaf surfaces, and experimentally calibrate and validate the models. The software is expected to drive the development of agrichemical products that increase retention, minimise environmental impacts, and reduce costs for end-users.Read moreRead less