SOURCE-LINKED INTELLIGENCE
Innovative Sustainable Connections: Advancing High-Rise Prefabricated Modular Steel Structures through AI and Circular Economy Principles
ete core tubes while maintaining the sustainable nature of PFVMS structures. MODULARIZATION addresses this gap by advancing PFVMS construction through sustainability principles, circular economy, and artificial intelligence. While PFVMS buildings are recognized for their efficiency, existing assembly methods struggle with structural stability, sustainability, flexibility, and waste management challenges. MODULARIZATION proposes a groundbreaking, fully bolted, size-flexible connection system that allows for disassembly and reuse, thereby reducing the need for on-site welding and minimizing construction waste. MODULARIZATION includes experimental studies and finite element simulations to investigate the load transfer mechanisms, seismic performance, and failure modes of modular connections. Advanced artificial intelligence techniques, including Convolutional Neural Networks (CNNs), Support Vector Machines (SVMs), and Recurrent Neural Networks (RNNs), will be employed for enhanced data analysis and parametric research. Additionally, Cellular Automata (CA) and Genetic Algorithms (GA) wil
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 260347.92
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.