ConcreteAI sensor provides real-time monitoring of concrete compressive strength, temperature and also temperature differential within the structures.

ConcreteAI sensor provides real-time monitoring of concrete compressive strength, temperature and also temperature differential within the structures.

ConcreteAI sensor provides real-time monitoring of concrete compressive strength, temperature and also temperature differential within the structures.

Concrete’s compressive strength is determined using the internally accepted maturity method in accordance with ASTM C 1074 and EN 13670. Maturity is the relationship between concrete temperature, time and strength gain. It is a way to measure the concrete’s in situ strength to expedite schedule, increase level of confidence and improve construction methods. Every concrete mix design has its own strength – maturity relationship. Thus, for every unique mix design, a 28-day calibration period is required to find the relationship. We recommend this step could be done together with the trial mix.

Concrete’s compressive strength is determined using the internally accepted maturity method in accordance with ASTM C 1074 and EN 13670. Maturity is the relationship between concrete temperature, time and strength gain. It is a way to measure the concrete’s in situ strength to expedite schedule, increase level of confidence and improve construction methods. Every concrete mix design has its own strength – maturity relationship. Thus, for every unique mix design, a 28-day calibration period is required to find the relationship. We recommend this step could be done together with the trial mix.

Concrete’s compressive strength is determined using the internally accepted maturity method in accordance with ASTM C 1074 and EN 13670. Maturity is the relationship between concrete temperature, time and strength gain. It is a way to measure the concrete’s in situ strength to expedite schedule, increase level of confidence and improve construction methods. Every concrete mix design has its own strength – maturity relationship. Thus, for every unique mix design, a 28-day calibration period is required to find the relationship. We recommend this step could be done together with the trial mix.

ConcreteAI sensors can be used for all types of concrete structures, for example wall, slab, column, beam, viaduct, hollow-core, pile cap and etc. ConcreteAI solution can also be applied to all common mix designs, including concrete with fly ash, GGBS and others. Feel free to contact us via email or phone if you would to clarify further.

ConcreteAI sensors can be used for all types of concrete structures, for example wall, slab, column, beam, viaduct, hollow-core, pile cap and etc. ConcreteAI solution can also be applied to all common mix designs, including concrete with fly ash, GGBS and others. Feel free to contact us via email or phone if you would to clarify further.

ConcreteAI sensors can be used for all types of concrete structures, for example wall, slab, column, beam, viaduct, hollow-core, pile cap and etc. ConcreteAI solution can also be applied to all common mix designs, including concrete with fly ash, GGBS and others. Feel free to contact us via email or phone if you would to clarify further.

Traditionally, we would recommend to install at least 2 data points inside a structure or an area of casting: one datapoint at the center and the other datapoint near the surface. This setup allows us to capture the maximum and minimum strength development of the structure, therefore representing the profile of strength development. For each monitoring task, we will also schedule a session with the team to confirm the monitoring location, depth and number of data points at the beginning. If you would like to clarify further with a specific type of structure of casting item, feel free to contact us via email or phone.

Traditionally, we would recommend to install at least 2 data points inside a structure or an area of casting: one datapoint at the center and the other datapoint near the surface. This setup allows us to capture the maximum and minimum strength development of the structure, therefore representing the profile of strength development. For each monitoring task, we will also schedule a session with the team to confirm the monitoring location, depth and number of data points at the beginning. If you would like to clarify further with a specific type of structure of casting item, feel free to contact us via email or phone.

Traditionally, we would recommend to install at least 2 data points inside a structure or an area of casting: one datapoint at the center and the other datapoint near the surface. This setup allows us to capture the maximum and minimum strength development of the structure, therefore representing the profile of strength development. For each monitoring task, we will also schedule a session with the team to confirm the monitoring location, depth and number of data points at the beginning. If you would like to clarify further with a specific type of structure of casting item, feel free to contact us via email or phone.