About Us
We are committed to providing cutting-edge technology solutions that empower the construction industry.
Meeting the Dynamic Challenges in Construction
The construction industry is currently one of the main engines of the economy. The requirements and levels of responsibility for buildings and structures are increasing; new cities and districts are growing, and densely populated regions continue to develop their urbanized territories. In this regard, the processes of production of building materials, products and structures should be singled out separately. The fact is that the production of building materials is at the junction between the manufacturing and construction industries. In particular, a concept such as concrete: concrete mixture refers simultaneously to the concept of the construction industry, that is, to the factory sector, and to the concept of construction technology, for example, in monolithic concreting. Owing to the fact that concrete is the main building material throughout the world, but at the same time is one of the most complex artificial composites created by man, the prediction of its properties is not always fully possible. There are a huge number of factors and criteria that affect the final quality of concrete, and ultimately, the safety of products, structures, buildings and structures created from it. Thus, one of the main tasks of process engineers and scientists in the field of materials science is the search for the most effective prescription and technological methods aimed at achieving the goals of controlling the structure and regulating the properties of concrete and products based on them. The Canadian Standards Association’s (CSA) Standard A23.1-14 Concrete Materials and Methods of Concrete Construction and Standard A23.2-14 Test Methods and Standard Practices for Concrete describes the standards and test methods respectively.
Currently, the construction industry is on the verge of digitalization, which is destroying traditional ideas about the construction process, and also opens up many opportunities. Companies that do not think about using big data, data analysis and the use of artificial intelligence methods in their work after the crisis are at risk of leaving the market during the next crisis. Prospects for improving the quality of manufactured products, services provided, and the formation of a positive image of modern companies lie in the use of artificial intelligence methods for digitalization, systematization of accumulated and incoming information, and forecasting cost, time and technological parameters in construction. Artificial intelligence solutions, which are already successfully used in other industries, are gradually being introduced into the construction process at all stages, including quality control in the production of building materials. Smart Civil Inc. aims to develop an accurate AI-based digital model for predicting the compressive strength of concrete using the accumulated empirical databases, and ultimately, improvement of production processes in the construction industry.
What We Do
The construction industry serves as a cornerstone of economic growth, witnessing an escalation in demands and standards for buildings and structures. Emerging cities and burgeoning districts, alongside the continual development of urbanized regions, underscore the escalating responsibilities and requirements in construction practices.
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The Building Materials Industry outperformed the growth rate of the Canadian economy over the past 5 years. If you take a look around your neighborhood right now, chances are you’ll see more new construction than ever before. Whether it’s the construction of new buildings, additions or any other home project, it’s obvious that the building materials industry is experiencing a boost in activity. Just as the COVID-19 pandemic led to a spike in e-commerce, it’s also kick-started people’s plans for building and expanding current homes or investing in new ones. But with rapidly increasing prices and demand for building materials, supply chains are out of whack and hurting in a good way, as growth has thrown new challenges at supply chain operations. In addition, the business should be able to provide excellent customer service, and given the tight supply chains and increasing prices, they need to save time. In this situation the expertise supply chain leaders will identify and allocate the materials that are reliable and will shave off time and costs, and here is where, Smart Civil Inc.’s accurate AI-based digital model which is cost-effective, reliable and economical in terms of time, can help the leaders in the way of concrete production.
The Smart Civil team collects a significant amount of data on different concrete mixtures and their resulting compressive strength. They would then use this data to train an AI algorithm to recognize patterns and correlations between mixture proportions and compressive strength.
Once the algorithm is trained, it could be used to predict the compressive strength of a new concrete mixture by inputting the specific mixture proportions and design. This would allow Smart Civil to optimize the mixture and design to achieve the desired compressive strength and other required properties.
The digital model could be continually refined and improved as new data is collected and analyzed, allowing for even greater accuracy and efficiency in concrete production.
What We Change
The design and development of an accurate AI-based digital model for predicting concrete compressive strength by extracting optimized mixture proportions and mixed designs could offer several benefits to the construction industry:
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Improved efficiency: By accurately predicting the compressive strength of a new concrete mixture, Smart Civil's digital model could help to reduce the time and resources required for trial and error in the concrete production process.
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Increased accuracy: With the help of AI technology, Smart Civil's digital model could significantly improve the accuracy of concrete mixture designs, reducing the risk of mistakes and ensuring consistency in the quality of the finished product.
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Enhanced sustainability: By optimizing concrete mixture designs, Smart Civil's digital model could reduce the amount of cement and other materials required in concrete production, leading to a more sustainable and environmentally friendly process.
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Cost savings: By reducing waste and improving the efficiency of the concrete production process, Smart Civil's digital model could help to lower costs for construction projects.