CHM Obras e Infraestructuras, in collaboration with the Construction Technology Centre of the Region of Murcia (CTCON) and Novadep Scientific Instruments, leads the VAXAMA Project, an initiative focused on developing advanced methodologies for the characterization of Asphalt mixtures using cutting-edge technologies.
The project focuses on the combined application of X-ray microtomography e Artificial Intelligence, with the goal of transforming traditional quality control processes in asphalt pavement production.
Limitations of Traditional Methods in Bituminous Mixtures
Currently, the analysis of Asphalt mixtures it is based on conventional procedures that require the extraction of the binder using solvents, followed by the characterization of the aggregates through sieve analysis.
These methods present several limitations:
- Long analysis times.
- Significant operating costs.
- Risks associated with the use of chemicals.
- Manual processes with limited potential for automation.
These restrictions make it difficult to achieve agile results and limit the ability to optimize production processes.
VAXAMA: Towards Non-Destructive and Automated Analysis
Faced with this scenario, the VAXAMA project proposes a paradigm shift through the incorporation of non-destructive X-ray inspection techniques.
The X-ray microtomography allows analysis of the internal structure of bituminous mixtures without altering the sample, which is a key advantage over traditional methods.
Thanks to this technology, it is possible to:
- Obtain high-precision three-dimensional reconstructions.
- Analyze the distribution of aggregates and internal voids.
- Improve the structural characterization of the mixture.
- Advance in the estimation of bitumen content.
The integration of these capabilities with Artificial Intelligence algorithms allows for automated analysis and improved reliability of results.
Application of computer vision in quality control
One of the pillars of the project is the incorporation of techniques computer vision for the interpretation of data obtained through microtomography.
These systems allow:
- Automatically separate the different components of the mix.
- Identify internal structural patterns.
- Reduce the need for manual intervention in the analysis.
- Increase the speed and accuracy of quality control.
This approach represents a significant step forward in the digitization of laboratory and production processes.
Impact on Infrastructure Quality and Sustainability
The advancements made in the VAXAMA project have a direct impact on improving the quality of asphalt pavements.
Optimizing the analysis of Asphalt mixtures allows:
- Improve the durability of infrastructure.
- Reduce rework and waste.
- Optimize the use of materials.
- Reduce the environmental impact associated with production.
In addition, reducing the use of solvents helps improve laboratory safety and minimize environmental risks.
Innovation and Digitalization in the Construction Industry
The VAXAMA project is part of the digital transformation strategy for the construction sector, in which automation and advanced data analysis play a key role.
This initiative reinforces CHM's commitment to:
- The development of proprietary technological solutions.
- The digitalization of construction processes.
- Continuous improvement of operational efficiency.
- The incorporation of disruptive technologies in construction.
In this context, applied innovation becomes a differentiating factor for improving the competitiveness of the sector.
Project Collaboration and Funding
The VAXAMA project involves specialized entities that contribute technical knowledge and advanced research capabilities:
- Construction Technology Center of the Region of Murcia (CTCON).
- Novadep Scientific Instruments.
Additionally, the project is funded by the Center for the Development of Industrial Technology (CDTI) and the European Regional Development Fund (ERDF), which reinforces its strategic character within the innovation promotion programs.
A step forward in materials innovation
With the development of the VAXAMA project, CHM Obras e Infraestructuras consolidates its positioning as a leading company in innovation within the construction sector.
The application of advanced technologies to the analysis of Asphalt mixtures represents a significant advance towards automation, efficiency, and sustainability in pavement production.
This project marks a decisive step in the evolution of quality control, bringing the sector closer to more digital, precise, and continuous improvement-oriented models.
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