Quality That Travels from Plant to Pour
Devices for Measuring Rebar Corrosion, Permeability, and Resistivity of Concrete
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The construction industry is undergoing a tech-driven transformation as artificial intelligence (AI) becomes an integral part of how we build. Long-standing challenges, from skilled labour shortages to safety risks and slim profit margins, are driving firms to adopt AI solutions to gain a competitive edge. In fact, 92% of contractors report difficulty filling open positions, contributing to project delays. Meanwhile, AI adoption is surging; 74% of AEC leaders now use AI in at least one phase of construction projects. The market for AI in construction is projected to grow from $3.99 billion in 2024 to $11.85 billion by 2029, a clear sign that AI’s impact is accelerating. In this blog, we’ll explore the key challenges AI addresses that make building projects smarter and safer, and how these innovations lead to more profitable outcomes. From intelligent concrete sensors and robotic assistants to predictive software and AI-driven project dashboards, today’s construction professionals can leverage AI for tangible benefits. Smarter Projects Through AI-Driven Insights and Analytics Modern construction projects generate massive amounts of data: blueprints, schedules, weather logs, sensor readings, and more. AI turns this data into actionable intelligence to plan and build smarter than ever before. Digital Twins and Generative Design One major advance…
At Giatec’s Concrete Tech Summit in May 2025, Mark Masotti, CEO, and Alex Hanmore, Manager of Concrete Technologies at AlterBiota made a compelling case for transforming how the industry approaches aggregate testing and the huge potential it poses for optimizing the fresh and hardened performance of concrete. Their message: it’s time to digitize aggregate testing. When paired with platforms like Giatec’s SmartMix™ and MixPilot™, digitalAggregate™ becomes a critical piece in a much bigger picture, one where optimization starts at the source and extends all the way to the pour, supporting consistent concrete workability. Concrete’s Blind Spot Traditional aggregate testing is time-consuming, low frequency, and limited in what it can measure. Most labs focus on aggregate size, using outdated but standardized methods like sieve analysis that only determine one of three dimensions. As shared by Mark, “With the sieve analysis, it would work perfectly if concrete aggregates were spheres. However, they are anything but […]. It’s the same idea that a marble and a pencil would be retained on the same sieve”. This disconnect between lab testing and field performance isn’t just theoretical, it has real cost implications. Cement overuse, rejected loads, slump variability, and water mismanagement, all stem, in part,…
When it comes to concrete measurement, specifically concrete field strength monitoring, it is important for project managers to consider the impact that each technique will have on their schedule. While some testing processes can be done directly onsite, others require extra time in external facilities that deliver strength data. Time is not the only factor that contributes to project managers’ decisions. The accuracy of the testing process is just as important as it directly affects the concrete quality of the structure. Understanding Concrete Strength Concrete strength is a critical measure of how well a concrete mix can withstand external forces without breaking or failing. It’s typically measured in terms of compressive strength, which refers to the material’s ability to resist crushing forces. The strength of concrete depends on several factors, including the quality of the raw materials, the water-to-cement ratio, the curing process, and environmental conditions during and after the pour. Accurately determining concrete strength is essential for ensuring the structural integrity and safety of buildings, bridges, and other concrete infrastructure. With modern advancements like wireless sensors, construction professionals can now monitor this vital parameter in real-time. These innovations provide more precise data and reduce the risk of premature failures….
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