Innovative Sustainable Connections: Advancing High-Rise Prefabricated Modular Steel Structures through AI and Circular Economy Principles
Sector: Commercial • Location: United Kingdom
Source: EU Funding & Tenders Portal
The construction industry is at a crossroads where the demand for sustainable and efficient building methods is rapidly increasing. Low-rise prefabricated volumetric modular steel (PFVMS) structures effectively handle vertical and lateral loads through inter-modular connections (IMCs). However, high-rise PFVMS structures face limitations due to their reliance on concrete core structures for latera
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | forthcoming |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The construction industry is at a crossroads where the demand for sustainable and efficient building methods is rapidly increasing. Low-rise prefabricated volumetric modular steel (PFVMS) structures effectively handle vertical and lateral loads through inter-modular connections (IMCs). However, high-rise PFVMS structures face limitations due to their reliance on concrete core structures for lateral load resistance, highlighting a gap in connecting modular units with concrete 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) will be used to develop a comprehensive model addressing material and geometric nonlinearities, resulting in accurate design methodologies for the connection's bearing capacity and stiffness. MODULARIZATION is intended to contribute to the circular economy substantially, sustainability in the construction industry, and revolutionize modular construction practices. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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