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Artificial Intelligence in Ground Modelling: A Revolution in Engineering

Updated: Feb 13


Ground Modelling

Ground modeling is a discipline that involves the digital representation of the surface and subsurface. It is used in a wide range of applications, from civil engineering to urban planning and ecology.


Traditional ground modeling methods are labor-intensive and require a large amount of data and calculations. Engineers must take field measurements or analyze satellite images, which can be time-consuming and costly.


Artificial Intelligence (AI) is revolutionizing ground modeling. AI techniques allow for the automation of many processes involved in modeling, making the process faster, more accurate, and cost-effective.


One of the most commonly used AI techniques in ground modeling is machine learning. Machine learning enables machines to learn from data without being explicitly programmed. This allows machines to identify patterns in data that humans may not see.


For example, machine learning can be used to automatically identify ground conditions that closely match reality. It can also be used to predict how the ground will behave when affected by human actions or natural forces.


SAALG is a leading company in the development of artificial intelligence solutions for ground model analysis, resulting in the application of technologies like Daarwin.


Daarwin is a tool that centralizes and connects all geotechnical information, making it available to engineers. This unique technology leads to significant time savings, reduced material consumption, and lower CO2 emissions.


Would you like to learn more about how SAALG & Daarwin can assist you with your ground modeling projects? Contact us today. geotechnical, software engineer, geotechnical engineering software, construction AI, civil engineering software

civil engineering, geotechnical, software engineer, geotechnical engineering, borehole

European Innovation Council
CDTI
Enisa
Mott Macdonald
Cemex Ventures
Creand  Scalelab
mw capital
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