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Deep Learning Detects Concrete Damage for Safer Bridges

This study employs a YOLOv8 Dynamic Plus deep learning model to detect surface diseases in concrete bridges. By analyzing image data from drones, the model improves accuracy in identifying defects like cracks, corrosion, and spalling, ensuring timely maintenance and enhancing structural safety.

1 Oct 2024

AI Transforms Smart Building Integration in Cities

Researchers have developed an AI-based framework utilizing OpenAI's ChatGPT and Google's Bard to assess the integration of smart building services across five key domains in smart cities.

26 Sep 2024

Collaborative Robots Streamline Curtain Wall Installation

A study proposed a human-robot collaboration system for handling building curtain walls.

19 Sep 2024

Robots Optimize Sustainable Concrete Prefabrication

A study proposes automating concrete prefabrication with robots and reusable shuttering systems to increase efficiency and sustainability.

18 Sep 2024

Deep Learning Enhances Building Risk Assessment

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.

16 Sep 2024

Enhancing Concrete with Biomimicry: Fish Scale-Inspired Double-Bouligand Structure for Tougher Concrete

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.

12 Sep 2024

Optimizing Sustainable Construction with Smart Tools

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.

11 Sep 2024

Machine Learning Enhances Green Building Efficiency

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.

9 Sep 2024

Reducing Energy in Green Buildings with AI Models

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...

3 Sep 2024

Analyzing Building Features with Deep Learning Datasets

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.

2 Sep 2024

Construction Trends