construction materials

In a world making strides towards decarbonization, minimising the carbon footprint of linear transportation infrastructure - such as roads and railways - stands as a primary objective towards low carbon mobility. Although.

In the realm of infrastructure planning, Artificial Intelligence (AI) is catalyzing a transformative shift. In infrastructure projects, decision-makers, designers and civil engineers handle extensive data on construction.

Artificial intelligence, machine learning, digital twins, etc. are making their way into the construction industry. For what benefits and application? Find out through the example of ORIS Materials Intelligence.

The first step in tackling today's climate challenges is to measure a construction product's environmental footprint, in particular its carbon footprint. Using a life cycle assessment (LCA) offers an in-depth analysis to target.

The challenge of designing sustainable roads lies in the multitude of factors that need to be considered and overcome. One of the crucial aspects is the selection of construction materials, as they play a vital role in the.

When it comes to infrastructure construction, carbon accounting might seem intangible and even unnecessary. But thinking about the future, it is a fundamental variable when planning infrastructure construction work. Let’s take a.

Delivery of construction materials on project sites is time sensitive. The fastest delivery allows for the best quality of materials. The shortest delivery time ensures an overall lower cost and carbon footprint. Increased fuel.

ORIS Materials Intelligence has introduced an exciting and innovative addition to its logistics tool. With this new feature, users can now easily compare various transport options for their projects, taking into account.