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Understanding fireproof vs. fire-retardant cladding is essential for architectural design, impacting safety, compliance, and ...
The study highlights second-quality concrete paving block waste as a sustainable aggregate substitute, improving mechanical ...
An enhanced particle swarm optimization method for wind resistance in high-rise buildings is introduced, focusing on weight ...
KAIST's smart window technology dynamically regulates light and heat, cutting costs and glare while promoting urban ...
A new multiscale model predicts how concrete’s stiffness and thermal-expansion change at high temperatures, offering insights ...
A novel cement alternative using alum sludge enhances resistance to microbiologically influenced corrosion, improving ...
Proposed new planning rules will require new residential buildings, large commercial buildings and hotels in the City of ...
Explore how forensic material testing is used to identify construction failures, prevent risk, and improve long-term ...
Global Drain Technologies (GDT), a leader in the manufacturing of high-quality drainage systems, highlights its ...
A recent study published in Scientific Reports highlights the potential of PyCaret, an automated machine learning (ML) platform, in developing and evaluating predictive models for the compressive ...
Image Credit: Toa55/Shutterstock.com. The new model, developed by a research team at Peking University and introduced in Nano-Micro Letters, has dual electro-thermal collaborative control for ...