Active Engineering Materials & Manufacturing

Innovative Sustainable Connections: Advancing High-Rise Prefabricated Modular Steel Structures through AI and Circular Economy Principles

Summary

Original abstract (not yet simplified)

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...

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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.

Related Research

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Multi-objective Optimisation for Sustainable Steel Structures Employing Artificial Intelligence
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Re-usable net-zero carbon structures

Original classification

HORIZON

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