Project description
The construction sector’s approach to sustainability
The construction sector is critical to the economy and underpins continued efforts across various industries and infrastructure, highlighting its essential role in the transition to more sustainable practices and methodologies. Funded by the Marie Skłodowska-Curie Actions programme, the ADAPT4CE project aims to revolutionise the construction sector’s approach to sustainability and resource efficiency by focusing on sustainable deconstruction and material reuse. To achieve this, the project will leverage a variety of technologies, including AI, machine learning, and additive manufacturing, to develop solutions and methodologies that simplify the implementation of sustainable practices.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesinternet
- natural sciencescomputer and information sciencesdatabases
- natural sciencescomputer and information sciencescomputer securitycryptography
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinator
10561 Athina
Greece