AIMC Topic: Construction Materials

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A new application of radioactive particle tracking using MCNPX code and artificial neural network.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Stirrers and mixers are highly used in chemical, food, pharmaceutical, cosmetic, concrete industries and others. During the fabrication process, the equipment may fail to appropriately stir or mix the solution. Besides that, it is also important to d...

Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion.

Journal of environmental management
Concrete corrosion is one of the most significant failure mechanisms of sewer pipes, and can reduce the sewer service life significantly. To facilitate the management and maintenance of sewers, it is essential to obtain reliable prediction of the exp...

Modelling the thermal behaviour of a building facade using deep learning.

PloS one
This article aims to model the thermal behaviour of a wall using deep learning techniques. The Fourier theoretical model which is traditionally used to model such enclosures is not capable of considering several factors that affect a prediction that ...

Quantitative computed tomography imaging classification of cement dust-exposed patients-based Kolmogorov-Arnold networks.

Artificial intelligence in medicine
BACKGROUND: Occupational health assessment is critical for detecting respiratory issues caused by harmful exposures, such as cement dust. Quantitative computed tomography (QCT) imaging provides detailed insights into lung structure and function, enha...

Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

Environmental research
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainable concrete mixtures that incorporate waste-derived materials. The primary objectives are to reduce global warming potential (GWP) and promote a circul...

Brick Kiln Dataset for Pakistan's IGP Region Using AI.

Scientific data
Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited air quality monitoring and lack of transparent data on pollution source...

Self-tuning trajectory tracking control for concrete pouring construction robots based on PID-NFTSMC and CPO algorithm.

PloS one
This paper presented a self-tuning trajectory tracking control strategy for concrete pouring construction robots operating under external disturbances and system uncertainties. To enhance operational stability and robustness, the study integrated pro...

Inverting the structure-property map of truss metamaterials by deep learning.

Proceedings of the National Academy of Sciences of the United States of America
Inspired by crystallography, the periodic assembly of trusses into architected materials has enjoyed popularity for more than a decade and produced countless cellular structures with beneficial mechanical properties. Despite the successful and steady...