AIMC Topic: Construction Materials
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Protocol for developing an explosion-propeller hybrid driving underwater robot for AI-based concrete overhaul in real marine environments.
STAR protocols
Sep 23, 2024
We recently developed an explosion-propeller hybrid driving underwater robot combined with an AI-based concrete damage detection technique for concrete overhaul in real marine environments. Here, we describe steps for establishing a detection dataset...
Evaluating the influence of Nano-GO concrete pavement mechanical properties on road performance and traffic safety using ANN-GA and PSO techniques.
Environmental research
Sep 5, 2024
The burgeoning demand for durable and eco-friendly road infrastructure necessitates the exploration of innovative materials and methodologies. This study investigates the potential of Graphene Oxide (GO), a nano-material known for its exceptional dis...
From expansion to efficiency: Machine learning-based forecasting of Japan's building material stocks under demographic declines.
The Science of the total environment
Aug 19, 2024
Japan's unique demographic trajectory, marked by population decline and aging, coupled with continued urbanization, presents distinct challenges for aligning built environment capacity with resource efficiency. This study aims to investigate the hist...
Data modeling analysis of GFRP tubular filled concrete column based on small sample deep meta learning method.
PloS one
Jul 10, 2024
The meta-learning method proposed in this paper addresses the issue of small-sample regression in the application of engineering data analysis, which is a highly promising direction for research. By integrating traditional regression models with opti...
Deep learning-based prediction of compressive strength of eco-friendly geopolymer concrete.
Environmental science and pollution research international
Jun 7, 2024
The greenhouse gases cause global warming on Earth. The cement production industry is one of the largest sectors producing greenhouse gases. The geopolymer is produced with synthesized by the reaction of an alkaline solution and the waste materials s...
Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors.
Environmental research
May 31, 2024
To ensure the structural integrity of concrete and prevent unanticipated fracturing, real-time monitoring of early-age concrete's strength development is essential, mainly through advanced techniques such as nano-enhanced sensors. The piezoelectric-b...
Improved U-net network asphalt pavement crack detection method.
PloS one
May 31, 2024
Road crack detection is one of the important parts of road safety detection. Aiming at the problems such as weak segmentation effect of basic U-Net on pavement crack, insufficient precision of crack contour segmentation, difficult to identify narrow ...
Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete.
PloS one
May 13, 2024
This research study aims to understand the application of Artificial Neural Networks (ANNs) to forecast the Self-Compacting Recycled Coarse Aggregate Concrete (SCRCAC) compressive strength. From different literature, 602 available data sets from SCRC...
Study on design optimization of GFRP tubular column composite structure based on machine learning method.
PloS one
Apr 26, 2024
Circular reinforced concrete wound glass fiber reinforced polymer (GFRP) columns and reinforced concrete filled GFRP columns are extensively utilized in civil engineering practice. Various factors influence the performance of these two types of GFRP ...
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