The Evaluation and Characterization of Asphalt and Concrete
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 1833
Special Issue Editors
Interests: concrete; reinforced concrete; damage mechanics; FEM; numerical simulations of concrete and reinforced structures; structural engineering
Special Issue Information
Dear Colleagues,
Asphalt and concrete have been the most widely used construction materials all over the world for decades. The continuous development of asphalt (e.g., polymer-modified bitumen; additives that improve the properties of asphalt) and concrete technology (e.g., high-strength concretes and fibre-reinforced concrete) creates new possibilities for the design and utilization of structural members. Moreover, nowadays, the increasing challenge in the construction materials industry is to reduce its environmental impact, which can be achieved by reducing the cement content in mixtures by using warm-mix asphalt and secondary raw materials such as recycled aggregates or alternative binders. Since the knowledge of new possibilities, but also of limitations, is required, there is now an unabated interest in the investigation of asphalt and concrete materials. For these reasons, the aim of this Special Issue is to gather the latest findings from researchers to show the latest advances and trends in characterisation and evaluation of asphalt and concrete materials.
Topics of this Special Issue, entitled "The Evaluation and Characterization of Asphalt and Concrete" include, but are not limited to, the following:
- The design of new asphalt and concrete materials (in particular with innovative materials and techniques);
- The characterisation of newly design asphalt and concrete mixes/materials;
- The evaluation of newly designed concrete and asphalt (application/comparison/critical assessment);
- Advances in the characterisation of materials (in particular in the context of durability, long-term behaviour and environmental aspects);
- The application of new predictive tools or machine learning techniques (MLT) for the evaluation of newly designed mixes/materials.
Prof. Dr. Ireneusz Marzec
Prof. Dr. Marek Pszczola
Guest Editors
Manuscript Submission Information
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