Construction is a vast and diverse industry, with different sectors and project types requiring different applications of the same technology. Below you’ll find some of the main use cases of our technology and how it applies to you.
Whether it be for suspended slabs, walls, or cores - ConcreteDNA is a powerful, non-destructive tool for accurately measuring in-situ compressive strength with precision.
By tracking the thermal history of pours using sensors, ConcreteDNA calculates maturity and accurately estimates strength.
Using embedded sensors and AI-powered software, ConcreteDNA automates early-age concrete testing; eliminating delays and waste inherent to destructive testing methods.
AI predicted and real-time strength development updates enable you to precisely plan and execute key activities - such as striking formwork and props - at the earliest possible opportunity.
The superior strength of post-tensioned (PT) concrete yields many advantages such as earlier removal of formwork, increased spans, reduced cracking, thinner slabs, and reduction of material costs.
The challenge of PT projects is in the timing of the tensions. If stresses are performed too early, the tendons could snap and cause dangerous accidents. On the other hand, if stresses are performed too late, the concrete will already be too stiff.
ConcreteDNA accurately measures in-situ concrete strength in real-time and predicts the future strength gain using AI technology that accounts for varying temperature and weather conditions. This allows you to begin tensions at the optimal moment, typically reducing PT pour cycles by approximately 24hrs.
Deep or thick concrete pours such as mass concrete, rafts, and thick walls are susceptible to ”thermal cracking” due to uneven internal temperature development during the hydration of cement.
To confirm that the thermal differentials are kept within limits during concrete curing, continuous measurements throughout the curing process are necessary.
Typically, this process is laborious and costly, with repeated data collection from numerous thermocouples, transfers of that data between devices, and many calculations. Additionally, the number of interventions required leaves the process prone to human error.
ConcreteDNA uses wireless technology to automatically collect temperature data from sensors embedded at various points in a pour. Temperature differentials are calculated and presented graphically and in real-time on the platform. Users can also download temperature reports and CSVs at the push of a button, streamlining documentation.
In the event of temperature differentials trending to critical limits, rather than confirming non-compliance after the fact, real-time insight empowers teams to take preventative measures.
Underground tunnels and shafts are typically formed by sequentially pouring, or placing, a series of identical concrete rings until the full length of the tunnel or shaft is complete.
In order to progress, each concrete pour must achieve a minimum compressive strength before the formwork can be struck and moved to the next pour.
ConcreteDNA provides tunnelling teams with a real-time understanding of concrete strength development. This allows the formwork to be struck at the earliest opportunity and reduces the cycle for every concrete segment.
ConcreteDNA’s sensor system maintains wireless network connectivity deep underground so that concrete strength data can be continuously monitored remotely by engineers. This enables project leaders to issue striking permits easily and without delay.
Major civil engineering projects can be characterised by the need to manage many work fronts simultaneously over sprawling landscapes within a tight programme. No easy task.
ConcreteDNA centralises and organises concrete strength data from all pours, so that project leads can easily manage concreting activities such as pouring, striking and loading, across the entire development. All of the concrete curing data can be contextualised on a macro level by integrating it within BIM models, creating a real-time digital twin of concreting activity. This provides greater spatial insight and enhances the ability to coordinate and plan ahead.
Real-time strength data and >95% accurate AI-based curing time predictions empower project teams to begin strength-reliant activities at the soonest possibility, improving efficiency and reducing the risk of delay.
Finally, thanks to advanced analytics, concrete mix performance data can be fed back into mix designs to optimise them and reduce embodied carbon.
