Optimization of high-performance asphalts for a durable physical platform of a cyber-physical system
The subproject is concerned with the research and development of a functionalizable and thus sensitive high-performance asphalt, which is to serve as an optimized physical platform for the sensitive road surface layer to be developed in SP A03.
In this context, both conventional materials by adapting and optimizing the properties and completely new, innovative bitumen-based road construction materials (e.g. by adding special fillers, fibers and high-performance additives) are to be developed in order to create the prerequisites for the long-term inclusion of a sensitive partitioned road surface layer with high-quality and durable road pavements. In this subproject, the synthesis of the materials and thus the optimal design of the high-performance asphalt starting from the bitumen through the mastic to the asphalt mixture will be researched. The effects from traffic and climate on the thermo-mechanical properties of the high performance asphalt will be investigated using experimental methods developed in FOR 2089 and those developed in SP A04. In parallel, Artificial Intelligence (AI) approaches will be used to generate synthetic data, which will also be used to optimize the material design and allow a reduction in the number of laboratory experiments.
In addition, the mechanical interaction between the sensitive road surface layer developed in SP A03 and the underlying layer of high performance asphalt will be investigated with the objective of maintaining sufficient durability using the Dresden Dynamic Shear Tester (DDST).
Finally, the material design of a sensitive high performance asphalt will be investigated. Functionalization of the high performance asphalt can succeed by adding conductive and thus sensitive additives (e.g. carbon nanotubes (CNTs)). The investigation of the piezoresistive properties of the sensitive high-performance asphalt while maintaining durability is carried out by measuring the electrical resistance as a function of the damage state in close cooperation with SP A03 and SP A08.
Project Participants
Publications of the Subprojects
- A04A06
Mechanistic investigation of grid-reinforced asphalt pavements with measured interface properties
- Journal
- Road materials and Pavement design ·
- Publisher
- Taylor & Francis ·
- Year
- 2024
- Keyword
- asphalt, interlayer bond, testing
- A04A06
Quantification of viscous and damage dissipationof bituminous binder and mastic using White-Metzner model
- Journal
- International Journal of Pavement Engineering ·
- Publisher
- Taylor & Francis ·
- Year
- 2023
- Keyword
- Fatigue; bitumen; mastic;non-linear viscoelasticity;White-Metzner model;viscous dissipation; damagedissipation; large amplitudeoscillatory shear; harmonicanalysis
- A04A06
A stochastic neural network based approach for metamodelling of mechanical asphalt concrete properties
- Journal
- International Journal of Pavement Engineering ·
- Volume
- 24 ·
- Pages
- 2177650 ·
- Publisher
- Taylor & Francis ·
- Year
- 2023
- Keyword
- Convolutional neural networks; machine learning; asphalt concrete; stochastic modeling
- A06A04
Fatigue testing on bitumen binder using different specimen shapes
- Journal
- Road materials and Pavement design ·
- Pages
- 1-18 ·
- Publisher
- Taylor & Francis ·
- Year
- 2023
- Keyword
- Bitumen; fatigue; specimen; shape; notch; finite elements analysis; DSR
- A03A06
Atomic insight into the nano-cracking behaviour of bitumen: considering oxidative aging effects
- Journal
- Road Materials and Pavement Design ·
- Publisher
- Taylor & Francis ·
- Year
- 2023
- Keyword
- Bitumen; Nano-cracking; Oxidative aging; Molecular dynamics simulation
- A02A06A03
Multiscale modelling and simulation for asphalt pavements under moving tire footprint loads
- Journal
- International Journal of Pavement Engineering ·
- Volume
- 24 ·
- Pages
- 2154349 ·
- Publisher
- Taylor & Francis ·
- Year
- 2023
- Keyword
- Tire contact stress; Mechanical property; Asphalt pavement; Asphalt mixtures; Multiscale finite element simulation
- A04A06
Blending efficiency of reclaimed asphalt rubber pavement mixture and its correlation with cracking resistance
- Journal
- Resources, Conservation and Recycling ·
- Volume
- 185 ·
- Pages
- 106506 ·
- Publisher
- Elsevier ·
- Year
- 2022
- Keyword
- asphalt; pavement; cracking