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Methodology Approach for Prediction of the Thermal Conductivity of Concrete Using Neural Networks

https://doi.org/10.2139/ssrn.4885451
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method
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Investigation of thermal conductivity of rubberized concrete as an energy-efficient building material and modeling by artificial intelligence
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The impact of concrete structure on the thermal performance of the dual-media thermocline thermal storage tank using concrete as the solid medium
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Thermal conductivity and compressive strength of concrete incorporation with mineral admixtures
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Modeling slump flow of concrete using second-order regressions and artificial neural networks
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Development of thermal energy storage concrete
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A concrete mix proportion design algorithm based on artificial neural networks
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Evaluation of chloride penetration in high performance concrete using neural network algorithm and micro pore structure
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Computational design optimization of concrete mixtures: A review
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Prediction of surface chloride concentration of marine concrete using ensemble machine learning
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Thermal Energy Storage in Concrete: Review, Testing, and Simulation of Thermal Properties at Relevant Ranges of Elevated Temperature
inferredcites →https://doi.org/10.1016/j.conbuildmat.2015.07.058openalex-extracted
Study on thermal properties of recycled aggregate concrete and recycled concrete blocks
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Machine learning study of the mechanical properties of concretes containing waste foundry sand
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An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete
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Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm
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Four-layer perceptron approach for strength prediction of UHPC
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Physico-mechanical, durability and thermal properties of basalt fiber reinforced foamed concrete containing waste marble powder and slag
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Optimization of foam concrete characteristics using response surface methodology and artificial neural networks
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Predicting thermal performance of a mass concrete foundation – A field monitoring case study
inferredcites →https://doi.org/10.1016/j.enbuild.2014.01.008openalex-extracted
Evaluation of the thermal performance of a Thermally Activated Building System (TABS) according to the thermal load in a residential building
inferredcites →https://doi.org/10.1016/j.jobe.2018.01.007openalex-extracted
Compressive strength prediction of environmentally friendly concrete using artificial neural networks
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Machine learning based prediction model for thermal conductivity of concrete
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An integrated building energy performance evaluation method: From parametric modeling to GA-NN based energy consumption prediction modeling
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Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach
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Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
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Experimental study and machine learning algorithms for evaluating the performance of U-shaped ultra-high performance reinforced fiber concrete under static and impact loads
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Predicting carbonation depth of concrete using a hybrid ensemble model
inferredcites →https://doi.org/10.1016/s0008-8846(02)00965-1openalex-extracted
An experimental study on thermal conductivity of concrete
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Modeling of strength of high-performance concrete using artificial neural networks
inferredcites →https://doi.org/10.1061/(asce)mt.1943-5533.0003026openalex-extracted
Effects of Modern Concrete Materials on Thermal Conductivity
inferredcites →https://doi.org/10.1080/08916152.2012.669810openalex-extracted
Modeling of Thermal Conductivity of Concrete with Vermiculite by Using Artificial Neural Networks Approaches
inferredcites →https://doi.org/10.1080/19648189.2020.1762749openalex-extracted
Properties prediction of environmentally friendly ultra-high-performance concrete using artificial neural networks
inferredcites →https://doi.org/10.1080/21650373.2019.1692093openalex-extracted
Characterization of RCAs and their concrete using simple test methods
inferredcites →https://doi.org/10.1155/2019/3831813openalex-extracted
An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions
inferredcites →https://doi.org/10.14359/51701003openalex-extracted
Impact of Lightweight Aggregate on Concrete Thermal Properties
inferredcites →https://doi.org/10.2139/ssrn.4024187openalex-extracted
Thermal Energy Storage in Concrete: Review, Testing, and Simulation of Thermal Properties at Relevant Ranges of Elevated Temperature
inferredcites →https://doi.org/10.22075/jrce.2020.19043.1358openalex-extracted
Compressive Strength Assessment of Concrete Containing Metakaolin Using ANN
inferredcites →https://doi.org/10.3390/app112210544openalex-extracted
Application of Artificial Neural Networks to Predict Insulation Properties of Lightweight Concrete
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GAN-Based Approaches for Generating Structured Data in the Medical Domain
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Application of Artificial Neural Networks in Construction Management: A Scientometric Review
inferredcites →https://doi.org/10.3390/ma14061351openalex-extracted
Measurements of Thermal Conductivity of LWC Cement Composites Using Simplified Laboratory Scale Method
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Mechanical and Thermal Properties of Moderate-Strength Concrete with Ceramic Powder Used as Supplementary Cementitious Material

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inferred← citeshttps://doi.org/10.3390/app15137125openalex-snapshot
Machine Learning Modeling of Foam Concrete Performance: Predicting Mechanical Strength and Thermal Conductivity from Material Compositions
inferred← citeshttps://doi.org/10.3390/constrmater6050057openalex-snapshot
Sustainable Construction of Building Envelopes Using Basalt Fiber-Reinforced Rubberized Concrete: The Case of Jordan
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