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Sprayed Sealing – Minimising Handwork
This Pavement Work Tip provides instructions on how to minimise sprayed sealing handwork and gives some suggestions for maximising the use of a sprayer when sealing tapers and roundabouts.
Sprayed Seals – Aggregate Spread Rates and Spreader Calibration
This Pavement Work Tip describes the requirements for the selection of an appropriate design aggregate spread rate and the calibration of aggregate spreading equipment for uniformity and consistency of output.
Sprayed Sealing in Extremely Hot Weather
This Pavement Work Tip refers to minimising the risk of bleeding when carrying out sprayed sealing work during extreme hot weather events, especially when subject to slow moving or stationary heavy traffic, or unusually heavy loads.
Webinar: Asphalt Laboratory Fatigue Relationships
The Austroads mechanistic-empirical design system documented in Part 2 of the Guide to Pavement Technology uses a laboratory fatigue relationship previously developed by Shell to predict the fatigue life of asphalt layers. The Shell fatigue…
Asphalt Laboratory Fatigue Relationship: Stage 1 Utilisation of Existing Data
This report documents the findings of the first stage of an Austroads project which aims to benchmark the laboratory fatigue performance of locally manufactured asphalt mixes against the performance predicted by the Shell relationship in Austroads…
Webinar: Development of Machine Learning Decision Support Tools for Pavement Asset Management
This is the second webinar in a two-webinar series. The session describes two case studies in the use of machine learning (ML) and artificial intelligence (AI) to create decision-support tools for pavement asset management. In the first study, we…
Webinar: Success Strategies for Delivering Artificial Intelligence and Machine Learning Projects
Austroads has published practical guidance to help expand the use of artificial intelligence (AI) and machine learning (ML) in pavement asset management. AI/ML projects are notoriously prone to failure, including late or incomplete delivery, or even…
Development of Machine-Learning Decision-Support Tools for Pavement Asset Management
This report explores the use of Artificial Intelligence (AI) and Machine-Learning (ML) in pavement asset management and details a methodology for developing new use-cases. While there are some existing uses of AI and ML technology in pavement asset…
Webinar: Review of Impact of Service Authorities on Infrastructure Projects
Austroads is undertaking a multi-stage project to support road transport and traffic agencies across Australia to manage the impacts of third-party assets on the successful delivery of road infrastructure projects, including road projects with a…
Review of Impact of Service Authorities on Infrastructure Projects
Third party assets on road and rail projects have a significant impact on major projects. This report documents a project to reduce the negative impacts of third-party assets on the successful delivery of road infrastructure projects across…