Project description
Building a virtual structural engineer
Your house may look like a static structure, but it is constantly affected by even the slight vibration of a moving car or a strong wind. It is important for engineers to be able to record the movement of buildings using structural risk assessment tools. The EU-funded FORSEES project is taking this analysis to a new level. It is laying the foundation for artificial intelligence (AI) to diagnose the real-time health of living architectures. The project is developing a computer vision device to help engineers develop a sixth sense for real-time structural analyses, building risk perception and architectures’ performance investigation.
Objective
Many of today’s world challenges cover the domain of safety and civil society. In a world like this the need for doctors and diagnosticians of the complex building and infrastructures organisms is imperative and high-priority. The number of variables have exponentially risen and the expert point of view is becoming more and more out of reach. The gap that just some decades ago would have required some years of work experience can be closed nowadays only with the help of new technologies. Artificial Intelligence (AI) is displaying all its power for diagnosing pathologies and diseases in Human Medicine. Imagine to apply the same framework for buildings in order to have the real-time health of the living architectures. Computer science and data analytics are capable of extracting patterns from these data and of producing a knowledge graph of the external reality. The project integrates digital pattern perception with human percepetion models. This models are object of studies for cognitive neurosciences, and by monitoring neurofunctional activity it could be possible to grasp and interpret where a structural intuition resides when a human performs related simple tasks. This structural intuition, in form of a mathematical structure (algorithmic relations), would create an AI tool as structural assistant to see the forces alive by a Computer Vision device. It would represent the growth of a sixth sense for real time structural analyses, building risk perception and architectures performance investigation. The chosen research institutions to carry out in the project are: Structural Engineering Department (DISEG) of Politecnico di Torino, MIT Senseable City Lab and BioRobotic Institute of Scuola Superiore Sant’Anna di Pisa as Secondment. The intelligent structural assistant that represents the research goal will rise up the knowledge to the level of extensive prediction, opening humans to a knowledge based on imaging and exploring more than focus and execution.
Fields of science
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- engineering and technologycivil engineeringstructural engineering
- natural sciencescomputer and information sciencesknowledge engineering
- social sciencespolitical sciencespolitical policiescivil society
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
10129 Torino
Italy