A study proposes automating concrete prefabrication with robots and reusable shuttering systems to increase efficiency and sustainability.
By Nidhi Dhull
18 Sep 2024
Princeton University engineers have created a cement-based material that is 5.6 times more damage-resistant than conventional counterparts, drawing inspiration from the structure of the hard outer layer of human bone.
A study in Discover Applied Sciences demonstrated the use of deep learning models, specifically convolutional neural networks (CNNs), to automatically classify building characteristics for exposure modeling in risk assessment.
By Nidhi Dhull
16 Sep 2024
A novel double-bouligand architecture, inspired by fish scales and created using robotic additive manufacturing, significantly improves concrete's fracture toughness. This innovation offers a pathway to non-brittle construction materials without adding fibers or reinforcement.
By Nidhi Dhull
12 Sep 2024
Exploring various optimization tools and experimental methods to enhance sustainability in construction, such as multi-criteria analysis, genetic algorithms, and life cycle assessments, promoting efficient resource use, reducing environmental impact, and improving structural safety.
By Nidhi Dhull
11 Sep 2024
A sustainable, recyclable support material was developed for 3D-printed concrete structures, enhancing design flexibility and reducing waste in construction.
By Nidhi Dhull
10 Sep 2024
This article discusses integrating machine learning and deep learning techniques to optimize green building design for energy efficiency and sustainability. The study highlights various predictive models that maximize resource usage and minimize environmental impact, showcasing promising advancements in green building technology.
By Nidhi Dhull
9 Sep 2024
A study on Shahid Beheshti University's building explores using phase-change materials (PCMs) and photovoltaic (PV) solar panels to reduce energy consumption and carbon emissions. Findings indicate that PCMs, especially on ceilings, and PV panels together can reduce CO2 emissions by up to 50%.
By Nidhi Dhull
5 Sep 2024
This study integrates Multilayer Perceptron (MLP) and Generative Adversarial Network (GAN) to predict concrete's thermal conductivity. By using synthetic data for training, the model achieves high accuracy, enhancing energy efficiency in building materials and reducing experimental costs.
By Nidhi Dhull
4 Sep 2024
A recent article in Scientific Reports introduces an innovative predictive machine learning (ML) model, using active learning to design green buildings (GBs) with optimized energy efficiency and improved indoor sustainab...
By Nidhi Dhull
3 Sep 2024
Researchers developed a deep-learning-based dataset to analyze building facade characteristics from street view images. This dataset aims to enhance automated analysis of building typologies, stories, and materials, improving construction management and architectural design processes.
By Nidhi Dhull
2 Sep 2024
WorldGBC plays a key role in the Buildings Breakthrough initiative, launched at COP26, to achieve near-zero emissions and resilient buildings by 2030. The initiative fosters international cooperation to decarbonize the building sector and promote sustainable construction practices globally.
By Nidhi Dhull
29 Aug 2024
The World Green Building Council's Leadership Summit 2024 emphasized the importance of financial incentives in promoting sustainable construction. The article explores the current state of investments, challenges in valuation, and the need for peer-to-peer cooperation to drive a rapid transition to net-zero emissions in the construction industry.
By Nidhi Dhull
27 Aug 2024
Incorporating nano-alumina (NA) into ultra-high-performance cement (UHPC) improves its compressive strength and durability by reducing porosity.
By Nidhi Dhull
26 Aug 2024
Despite advancements in 3D printing, modular construction, robotics, and digitization, the construction industry remains largely unchanged.
By Nidhi Dhull
22 Aug 2024