Research database

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.