Engineers have used the laws of classical physics for centuries to calculate the stresses of the materials they deal with. These calculations can be very difficult, especially in complex materials such as fluids, and now researchers at Umayyad University have been able to Invent a method In which the properties of materials such as pressure and stress can be easily calculated using artificial intelligence.
In this way, artificial intelligence can achieve these characteristics just by looking at the image and internal structure of materials, and can one day eliminate the need for heavy and complex physical calculations.
Scientists spend a lot of time calculating the pressure and stress inside materials, which can be used to predict the breakage and deformation of materials and prevent such events from happening. Many mathematicians from previous generations have put these calculations on paper and calculated over and over again until they could finally solve them with computers, but these calculations can be tedious even with computers.
Using machine learning, the researchers were able to create a network of thousands of paired images that, by combining images and game theory rules, could calculate the relationship between the geometric structure of a material and the pressure exerted on it. These pairs of samples are used to show the internal structure of materials to calculate mechanical forces and to show the color codes of material stress.
The calculation of these properties at the atomic scale is quite different from the macroscopic scale, but this tool can calculate the pressure and stress of both scales. In addition to saving engineers time, this method can also help designers and architects in designing and ensuring the performance of various projects. Once completed, the program can also run on mid-level computers, assisting mechanics and inspectors in investigating potential project problems by simply photographing the material.