AIMC Topic: Compressive Strength

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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...
Compressive Strength Neural Networks, Computer Construction Materials Machine Learning Recycling
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Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm.

PloS one Mar 5, 2024
The compressive strength (CS) of the hollow concrete masonry prism is known as an important parameter for designing masonry structures. In general, the CS is determined using laboratory tests, however, laboratory tests are time-consuming and high-cos...
Neural Networks, Computer Knowledge Compressive Strength Algorithms Databases, Factual
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Advanced machine learning algorithms to evaluate the effects of the raw ingredients on flowability and compressive strength of ultra-high-performance concrete.

PloS one Dec 22, 2022
The estimation of concrete characteristics through artificial intelligence techniques is come out to be an effective way in the construction sector in terms of time and cost conservation. The manufacturing of Ultra-High-Performance Concrete (UHPC) is...
Pharmaceutical Vehicles Compressive Strength Algorithms Data Compression Artificial Intelligence Machine Learning
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Intelligent prediction of rockburst in tunnels based on back propagation neural network integrated beetle antennae search algorithm.

Environmental science and pollution research international Dec 11, 2022
Rockburst is one of the major engineering geological disasters of underground engineering. Accurate rockburst intensity level prediction is vital for disaster control during underground tunnel construction. In this work, a hybrid model integrating th...
Neural Networks, Computer Algorithms Compressive Strength Disasters Engineering
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Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks.

Scientific reports Dec 5, 2022
In engineering practices, it is critical and necessary to either measure or estimate the uniaxial compressive strength (UCS) of the rock. Measuring the UCS of rocks requires comprehensive studies in the field and in the laboratory for the rock block ...
Machine Learning Least-Squares Analysis Compressive Strength Linear Models Fuzzy Logic Carbonates
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Jellyfish Search-Optimized Deep Learning for Compressive Strength Prediction in Images of Ready-Mixed Concrete.

Computational intelligence and neuroscience Aug 1, 2022
Most building structures that are built today are built from concrete, owing to its various favorable properties. Compressive strength is one of the mechanical properties of concrete that is directly related to the safety of the structures. Therefore...
Deep Learning Neural Networks, Computer Compressive Strength Reproducibility of Results Algorithms
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Stability Risk Assessment of Underground Rock Pillars Using Logistic Model Trees.

International journal of environmental research and public health Feb 14, 2022
Pillars are important structural elements that provide temporary or permanent support in underground spaces. Unstable pillars can result in rock sloughing leading to roof collapse, and they can also cause rock burst. Hence, the prediction of undergro...
Compressive Strength Machine Learning Risk Assessment Logistic Models Coal
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Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS.

PloS one Dec 3, 2021
An extensive simulation program is used in this study to discover the best ANN model for predicting the compressive strength of concrete containing Ground Granulated Blast Furnace Slag (GGBFS). To accomplish this purpose, an experimental database of ...
Compressive Strength Industrial Waste Humans Neural Networks, Computer Construction Materials Monte Carlo Method Reproducibility of Results Materials Testing
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Soft robotic constrictor for in vitro modeling of dynamic tissue compression.

Scientific reports Aug 13, 2021
Here we present a microengineered soft-robotic in vitro platform developed by integrating a pneumatically regulated novel elastomeric actuator with primary culture of human cells. This system is capable of generating dynamic bending motion akin to th...
Tissue Engineering Myocytes, Smooth Muscle Endothelial Cells Compressive Strength Fibroblasts Robotics Neoplasm Invasiveness Humans In Vitro Techniques
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Developing a boosted decision tree regression prediction model as a sustainable tool for compressive strength of environmentally friendly concrete.

Environmental science and pollution research international Jul 29, 2021
One of the most significant parameters in concrete design is compressive strength. Time and money could be saved if the compressive strength of concrete is accurately measured. In this study, two machine learning models, namely, boosted decision tree...
Machine Learning Support Vector Machine Decision Trees Compressive Strength
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