An Austrian company offering mathematical modelling and optimization for complex energy, finance and logistic business challenges developed a new tool for improved development of advantageous concrete mixtures.
Concrete mixtures and its properties (strength, appearance, chemical resistance, frost resistance,...) have to be adapted to specific applications and local legislations. Consequently there is an ongoing research for optimized mixtures. Furthermore it is aimed to use alternative constituents (e.g. waste materials as plastics or wood fibres) and to use less cement to save costs and to optimize the environmental impact of concrete since cement is relevant cost driver of concrete and the concrete industry is creating up to 10% of worldwide man-made emissions of CO2.
State of the art:
When creating a concrete mixture different constituents (sand, cement, additives, ...) can be used and different procedures can be applied.
Currently new mixtures have to be tested in lab scale. Therefore concrete is produced and has to harden for weeks. Subsequently the derived properties can be tested.
Numerous iterations may be necessary to find a proper mixture. This is time and cost intensive and may not lead to a perfect result. Via this iteration process concretes can be produced with optimized properties regarding its application for e.g. 3D printing, its long-term mechanical properties, its long life in severe environments, its strength, its permeability, its density, its toughness, its volume stability, etc..
AI for the design of concrete mixtures:
The Austrian company developed a software program based on AI. Mixture procedures, mixture constituents and the properties of the resuting concrete are simulated prior to the implementation of lab tests. In this way new concrete mixtures can be designed and optimized for special use cases. This invention helps companies to find better mixtures - faster and cheaper.
- Development of new mixtures special purposes as e.g. bridges, damns, etc. .
- Optimization of concrete mixtures for 3D printing
- Establishment of a digital governmental test standard for concretes
- Optimization of mixtures on-site (calculating the needed cement based on the current humidity of the materials on site)
- The algorithm can also be applied for the developement of polymer mixtures. Therefore approximately 2 years of research are needed to optimize the algorithm for this purpose.
The company is looking for construction companies, cement manufacturing companies, R&D institutes and companies with a focus on concrete mixtures and polymer mixtures. Beside technical cooperations the company is also open for investments to enhace its own research capabilites.
These kind of partners are invited to cooperate (i) to further optimize their own processes (license agreement), (ii) to share the gained knowledge in their existing network (license agreement or joint venture) and (iii) to further adapt the existing AI for various applications (technical cooperation or research cooperation). Furthermore the company is open for (iv) investments to establish an extensive (inter)national sales network and an own laboratory.