Translation. Region: Russian Federation –
Source: Peter the Great St. Petersburg Polytechnic University –
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Scientists from Peter the Great St. Petersburg Polytechnic University have created a new computer program for selecting frost-resistant building materials. The algorithm selects the most durable compounds for equipment design and building construction. RIA Novosti.
Some regions have special requirements for construction materials. The Arctic region, for example, is one such example. What works well in the temperate zone can quickly fail in the Far North, explained Igor Ilyin, Director of the Higher School of Business Engineering at the Institute of Industrial Management, Economics, and Trade at St. Petersburg Polytechnic University.
There are tens of thousands of materials, each with its own advantage. For example, materials for locks must be corrosion-resistant, while drill bits must be highly hard. However, a single superior characteristic often means that the other material parameters will be average or lower.
Polytechnic University scientists have created a computer program that will help select the most suitable frost-resistant materials for Arctic equipment. According to them, the algorithm is not a reference book, but an intelligent add-on that identifies which specific parts and components require specific materials in Arctic conditions.
The program's operating principle can be compared to the work of an experienced materials scientist, who not only stores the characteristics of numerous polymers but also knows precisely which one is optimal for a specific task in extreme cold conditions. The system analyzes the component's requirements and suggests a solution that ensures maximum reliability and durability, explained Nina Trifonova, assistant professor at the IPMEIT Graduate School of Business Engineering.
The specialist added that the algorithm focused primarily on polymeric materials. Using a "smart cookbook," the Polytechnic researchers were able to translate the complex physical and chemical properties of polymers into language understandable to design engineers.
Let's say a plastic plug fails on an Arctic oil and gas platform. Normally, it would take weeks to get a new part, the material for which is developed by chemists. With our program, an on-site engineer can consult the database, instantly select the correct polymer composition, and 3D print the part right there on the platform. This significantly reduces repair time," explained Nina Trifonova.
In the future, scientists plan to incorporate "images"—digital twins—of materials into the program so that it can predict how a specific part will behave during long-term use.
The study was supported by grant No. 23-78-10190 from the Russian Science Foundation.
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