About ArtIStE - ArtIStE - Artificial Intelligence In Structural Engineering

Artificial Intelligence for Structural Engineering

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI wants to see if the answer to Alan Turing’s question is a resounding yes. We use AI in our daily lives, though we may not always be aware of it. Asking Siri or Alexa to look something up for us, chatting with chatbots to address our inquiries, searching things on Google, and even something as simple as the pesky ads we get bombarded by online are all thanks to artificial intelligence. Even using knowledge bases like Slab, Asana, or Dropbox still requires the use of artificial intelligence to make results more accurate for its target audience.
Although the increase in knowledge has shown in numerous branches in recent decades, structural engineering was born before the development of many modern sciences. Modern structural engineering was conducted over two centuries ago and used the first mathematical physics applications to analyze structures. The development of specific analysis and calculation methods for a wide range of structural problems has allowed over the last two hundred years to revolutionize the world of construction, be it tall buildings, bridges, or towers. What the community currently perceives as a "mature" technology is, in fact, the result of a development in the methods of designing and using materials that have revolutionized our cities and all infrastructural systems. The long history and the development of well-established analysis methods for design have made civil engineering hardly permeable to new approaches different from those based on traditional physics-mathematical formulations. Over the decades, techniques have been defined that allow us to analyze a wide range of problems, although approximate.
Artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in Structural Engineering. This website is to his paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in Structural Engineering, including evolutionary and metaheuristic computation, neural networks, fuzzy systems, expert systems, classification, regression, and learning, as well as others. This website provides an overview of the advances of artificial intelligence applied in structural engineering collecting and sharing papers, and researches as well as promoting events and collaborations between different colleagues worldwide.

ArtIStE is the official webpage of the Research Group working on Machine Learning for Structural Engineering guided by Professor Giuseppe Carlo Marano from Politecnico di Torino technical university (Turin, Italy), DISEG, Department of Structural, Geotechnical and Building Engineering.