Properties and composition of recycled aggregates from construction and demolition waste suitable for concrete production

A review of recycled aggregate in concrete applications (2000–2017)

A comprehensive laboratory evaluation of the geotechnical and geoenvironmental properties of five predominant types of construction and demolition (C&D) waste materials was undertaken in th...

https://researchbank.swinburne.edu.au/file/9bbb0fa6-5557-4c65-ada9-7a360c041032/1/PDF (Accepted manuscript).pdf

Geotechnical and geoenvironmental properties of recycled construction and demolition materials in pavement subbase applications

Morphology, rheology, and physical properties of polymer-modified asphalt binders

Developments of nano materials and technologies on asphalt materials – A review

The suitability of crushed concrete or recycled concrete aggregate (RCA) materials has been evaluated for use as pavement material for unbound basecourses. This paper covers the general engineering properties and response to cyclic loading as determined by repeated load triaxial testing (RLTT). In Australia, pavements commonly consist of granular basecourses and subbases supporting thin bituminous seals (asphalt or spray—chip seal). In this paper, a study is presented of the performances of three South Australian basecourse products, nominally 20 mm. The basecourse products included two RCA materials and a local virgin aggregate (quartzite). The resilient modulus and permanent deformation behaviour of RCA mixtures were investigated at different levels of moisture contents (90, 80, and 60% of optimum moisture content), subjected to a simplified stress regime suited to Australian construction. In terms of both resilient modulus and accumulation of permanent deformation, the RCA material performed be...

Properties of Recycled Concrete Aggregate for Unbound Pavement Construction

Evaluation of Asphalt Binders Modified with Nanoclay and Nanosilica

Investigation of waste oils as rejuvenators of aged bitumen for sustainable pavement

Stabilized base/subbase materials provide more structural support and durability to both flexible and rigid pavements than conventional base/subbase materials. For the design of stabilized base/subbase layers in flexible pavements, good performance in terms of resilient modulus (Mr) under wet-dry cycle conditions is required. This study focuses on the development of a Particle Swarm Optimization-based Extreme Learning Machine (PSO-ELM) to predict the performance of stabilized aggregate bases subjected to wet-dry cycles. Furthermore, the performance of the developed PSO-ELM model was compared with the Particle Swarm Optimization-based Artificial Neural Network (PSO-ANN) and Kernel ELM (KELM). The results showed that the PSO-ELM model significantly yielded higher prediction accuracy in terms of the Root Mean Square Error (RMSE), the Mean Absolute Error (MAE), and the coefficient of determination (r2) compared with the other two investigated models, PSO-ANN and KELM. The PSO-ELM was unique in that the predicted Mr values generally yielded the same distribution and trend as the observed Mr data.

Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

This paper focuses on the feasibility of using construction and demolition (C&D) waste materials, particularly blends of recycled concrete aggregate (RCA) with recycled clay masonry (RCM), ...

Alaa R. Gabr

Papers

Properties of Recycled Concrete Aggregate for Unbound Pavement Construction

Evaluation of Asphalt Binders Modified with Nanoclay and Nanosilica

Investigation of waste oils as rejuvenators of aged bitumen for sustainable pavement

Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

Performance Evaluation of Construction and Demolition Waste Materials for Pavement Construction in Egypt