Projet ADAPT4CE (Horizon Europe, appel à projets 2023)
Action : Staff Exchanges
Panel : Information Science and Engineering
Statut du projet : SIGNED

ADAPT4CE is an innovative initiative aimed at revolutionizing the construction sector's approach to sustainability and resource efficiency. The project focuses on sustainable deconstruction and material reuse through advanced digital technologies such as artificial intelligence, machine learning, augmented reality, additive manufacturing (AM), blockchain, and the Internet of Things. A primary goal of ADAPT4CE is to create expert systems for precise material characterization, to improve traceability with RFID technology, and to establish localized material banks for effective resource reuse. By developing digital tools for informed deconstruction decision-making, the project seeks to implement circular economy principles, optimize the use of resources, and ensure environmental sustainability in construction practices. Key activities include the development of computational algorithms for structural optimization, integration of Design for Disassembly principles into Building Information Modeling tools, and the conduction of life cycle assessments for construction materials to promote sustainable design practices and reduce environmental impacts. The project exploits advanced AM techniques to enhance the adaptability, durability, and sustainability of construction materials. By identifying smart materials with self-healing properties and furthering the capabilities of 3D/4D printing technologies, ADAPT4CE aims to transform the industry standards and benchmark new manufacturing methods against traditional practices. A centralized digital platform is being developed to integrate BIM, databases, and digital tools to support the entire lifecycle management of construction projects. This platform will facilitate predictive maintenance through digital twin technology, ensure dynamic adaptation to changing conditions, and enable stakeholder engagement with advanced data management and analysis tools.

Mots clés : computational design, artificial intelligence, machine learning, additive manufacturing, building information modeling, iot, blockchain, lifecycle assessment, digital twins, construction

Participants :
- Université de Chypre (Chypre) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 64400.0 €
- Inovasfera ood (Bulgarie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 225400.0 €
- Associacao built colab - colaborative laboratory for the future builtenvironment (Portugal) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 92000.0 €
- Université Nationale Technique d'Athènes (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 312800.0 €
- Université nationale et capodistrienne d'Athènes (Grèce) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 303600.0 €
- Ahram Canadian University (Égypte) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Naps lab societa a responsabilita limitata (Italie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 110400.0 €
- Tsakalis kai sia oe (Grèce) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 193200.0 €
- Université de Stuttgart (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 82800.0 €
- École polytechnique de Turin (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 92000.0 €
- Aidigits ltd (Chypre) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 110400.0 €
- Université des Sciences et technologies de Jordanie (Jordanie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Prisma Electronics (Greece) (Grèce) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 69000.0 €