AIMC Topic: Compressive Strength

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Rockburst grade evaluation and parameter sensitivity analysis based on SSA-PNN framework: Considering rock mass strength.

PloS one Jun 24, 2025
The occurrence of rockburst is closely related to the strength and stress conditions of rock mass. The Lalin Railway tunnel in China was taken as an example, the strength and stress parameters of rock mass at 22 rockburst locations were obtained by u...
Neural Networks, Computer Algorithms Railroads Compressive Strength Stress, Mechanical China
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Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach.

PloS one Apr 29, 2025
Deep learning has significantly advanced in predicting stress-strain curves. However, due to the complex mechanical properties of rock materials, existing deep learning methods have the problem of insufficient accuracy in predicting the stress-strain...
Compressive Strength Neural Networks, Computer Stress, Mechanical Deep Learning
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Machine learning-based prediction of unconfined compressive strength and contaminant leachability in dredged contaminated sediments for land reclamation projects.

Environmental science and pollution research international Mar 8, 2025
This research investigates the application of machine learning techniques for predicting unconfined compressive strength (UCS) and contaminant leachability in dredged contaminated sediments (DCS) with implications for land reclamation projects. Tradi...
Machine Learning Compressive Strength Geologic Sediments
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Explainable artificial intelligence-based compressive strength optimization and Life-Cycle Assessment of eco-friendly sugarcane bagasse ash concrete.

Environmental science and pollution research international Mar 1, 2025
Investigations on the potential use of sustainable sugarcane bagasse ash (SCBA) as a supplementary cementitious material (SCM) in concrete production have been carried out. The paper employs model agnostic eXplainable Artificial Intelligence (XAI) to...
Compressive Strength Cellulose Artificial Intelligence Saccharum Construction Materials
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Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength.

Scientific reports Jan 15, 2025
Concrete compressive strength is a critical parameter in construction and structural engineering. Destructive experimental methods that offer a reliable approach to obtaining this property involve time-consuming procedures. Recent advancements in art...
Humans Neural Networks, Computer Compressive Strength Construction Materials Brain
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Precision assessment of the machine learning tools for the strength optimization of environmental-friendly lightweight foam concrete.

Journal of environmental management Nov 29, 2024
Foamed concrete (FC) is increasingly used in modern construction due to its lightweight nature, superior thermal insulation, and sustainable properties. However, accurately predicting its compressive strength remains a challenge due to the complex in...
Construction Materials Compressive Strength Machine Learning
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Modelling and evaluation of mechanical performance and environmental impacts of sustainable concretes using a multi-objective optimization based innovative interpretable artificial intelligence method.

Journal of environmental management Nov 16, 2024
This study focuses on modelling sustainable concretes' mechanical and environmental properties with interpretable artificial intelligence-based automated rule extraction, management of waste materials, and meeting future prospects. In this context, 2...
Artificial Intelligence Compressive Strength Environment Construction Materials Models, Theoretical Recycling
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Improved prediction accuracy for compressive strength of recycled aggregate concrete using optimization-based algorithms and cascade forward neural network.

Journal of environmental management Oct 30, 2024
This study proposed a data driven approach to predict the compressive strength (CS) of recycled aggregate concrete (RAC) for sustainable construction using an elite single genetic optimization algorithm-based cascade forward neural network (ESGA-CFNN...
Recycling Compressive Strength Construction Materials Algorithms Neural Networks, Computer
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Machine learning reveals correlations between brain age and mechanics.

Acta biomaterialia Oct 28, 2024
Our brain undergoes significant micro- and macroscopic changes throughout its life cycle. It is therefore crucial to understand the effect of aging on the mechanical properties of the brain in order to develop accurate personalized simulations and di...
Compressive Strength Anisotropy Animals Aging Biomechanical Phenomena Bayes Theorem Brain Machine Learning Swine Stress, Mechanical
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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...
Coal Ash Deep Learning Compressive Strength Construction Materials
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