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RESEARCH PAPER · Cement and Concrete Composites · 2022

Machine learning algorithms in the environmental corrosion evaluation of reinforced concrete structures - A review

Hanxi Jia, Guofu Qiao, Peng Han

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Machine learning algorithms in the environmental corrosion evaluation of reinforced concrete structures - A reviewOriginalEvaluation of residual flexural strength of corroded reinforced concrete beams using convolutional long short-term memory neural networks24Design of concrete incorporating microencapsulated phase change materials for clean energy: A ternary machine learning approach based on generative adversarial networks63Advances in artificial intelligence applications in corroded reinforced concrete structures0Machine learning in coastal bridge hydrodynamics: A state-of-the-art review38Intelligent design and manufacturing of ultra-high performance concrete (UHPC) – A review183Influence of corrosion rate on rust penetration in concrete0Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0103Corrosion resistance optimization of Sn-additional low-alloy high strength steel by data-driven identification and field exposure verification22Enhancing corrosion-resistant alloy design through natural language processing and deep learning77Prediction and detection of localised corrosion attack of stainless steel in biogas production: Machine Learning Classification Approach0Response of Reinforced Concrete Beams under the Combined Effect of Cyclic Loading and Carbonation1Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners10Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review90Development of compressive strength prediction platform for concrete materials based on machine learning techniques54Structural, Morphological and Mechanical Properties of Concrete Slab in Traditional Buildings in Casablanca, Morocco0Machine learning-based modeling and analysis of perfluoroalkyl and polyfluoroalkyl substances controlling systems in protecting water resources19Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review108Effectiveness of the Methods for Detection and Evaluation of Corrosion on the Reinforcement Steel of RC Structures – A State-of-Practice Review0Research on time-varying degradation of RC buildings coupled environmental effects and corrosion-induced damage from multi-scale5APPLICATION OF MACHINE LEARNING FOR THE PREDICTION OF ATMOSPHERIC CORROSION IN THE METROPOLITAN AREA OF MEXICO CITY0Deep Learning Algorithms in Industry 5.0: A Comprehensive Experimental Study3Online monitoring of reinforced concrete corrosion using sensors1Repair and Protection Materials from Alkali Activation of Metallurgical Slags0A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models69Supervised data-driven approach to predict split tensile and flexural strength of concrete with marble waste powder19Prediction of durability of reinforced concrete based on hybrid-Bp neural network30Environmental Impact Assessment in Asset Integrity Management: Sustainable Practices in Oil and Gas Facilities1Comparison of Predictive Modeling Concrete Compressive Strength with Machine Learning Approaches7Probabilistic deep learning prediction of natural carbonation of low-carbon concrete incorporating SCMs27Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review41Inspection method of the corrosion rate for underwater grouting sleeves by integrating ultrasonic data augmentation and interpretable ensemble learning13Experimental testing and predictive machine learning to determine the mechanical characteristics of corroded reinforcing steel12A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete58Bayesian-Network-Based Evaluation for Corrosion State of Reinforcements Embedded in Concrete by Multiple Electrochemical Indicators2Predictive Analysis of Corrosion Dynamics in Prestressed Concrete Exposed to Chloride Environments1Database and optimized machine learning prediction of the deteriorated response of corroded reinforced concrete beams8Performance evaluation of hybrid fiber-reinforced concrete based on electrical resistivity: Experimental and data-driven method30Data-Driven Interpretable Machine Learning Prediction Method for the Bond Strength of Near-Surface-Mounted FRP-Concrete11Comparative study of corrosion-based service life prediction of reinforced concrete structures using traditional and machine learning approach18Multi-Scale Integrated Corrosion-Adjusted Seismic Fragility Framework for Critical Infrastructure Resilience9Enhancing the predictive accuracy of recycled aggregate concrete’s strength using machine learning and statistical approaches: a review6Calculation and Modeling of Two Variants of a Monolithic Reinforced Concrete Frame for a Laboratory Building0Adapting Machine Learning Models for Indoor Temperature Prediction from Kuwait to the French Riviera Climate1Study on corrosion monitoring and assessment method of reinforced concrete based on multi-sensor fusion2Unveiling the synergistic effects of stray current and high hydraulic pressure on chloride transport in ultra-high-performance concrete22Prediction and Detection of Localised Corrosion Attack of Stainless Steel in Biogas Production: A Machine Learning Classification Approach7Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method16Machine Learning as an Innovative Engineering Tool for Controlling Concrete Performance: A Comprehensive Review14Incorporating machine learning in shot peening and laser peening: A review and beyond17Strength monitoring and prediction of blended concrete systems from very early to delayed curing age using embedded piezo sensor data: An experimental and machine learning approach4Data-driven approaches in concrete science: applications, challenges and future prospects1A state-of-the-art review on monitoring technology and characterization of reinforcement corrosion in concrete6Artificial intelligence in the design, optimization, and performance prediction of concrete materials: a comprehensive review37Predicting compressive strength of concrete composites with marble waste powder as a supplementary cementitious material using supervised data-driven models5Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study14Hybrid data-driven machine learning approach for evaluating steel corrosion in concrete using electrical resistivity and documented concrete performance indicators17Corrosion big-data driven continuous observation of low alloy steel rust layer evolution and mining of influence rules of atmospheric environment interaction10Predicting interfacial bonding performance of CRTS III slab ballastless track structure via interfacial defects using the PSO-BP algorithm10Dose–Response Functions for Assessing Corrosion Risks to Urban Heritage Materials from Air Pollution Under Climate Change: Insights from Europe and China3Computational Approaches0Visual, Surface, and Non-destructive Techniques0The Effect of Corrosion on Reinforced Cement Concrete (RCC) Structure for Long Exposure to Acidic Environment: A Deep Learning-Based Approach2Deterioration mechanism and stochastic damage modeling of tunnel lining concrete in hydrothermal corrosive environments5Machine learning and FEA-based optimization of reinforced concrete strength and durability4Enhancing M30 concrete performance using tamarind seed polysaccharide and GGBFS with experimental validation, COMSOL Multiphysics simulation and machine learning prediction3A systematic review of machine learning applications in carbonation depth prediction for reinforced concrete structures6AI-Driven Optimization of Plastic-Based Mortars Incorporating Industrial Waste for Modern Construction1Chloride durability and CO₂ footprint in marine-grade concrete via intelligent AI-based multi-objective modeling2Smart material design via accelerated corrosion evaluation: convergence of high-throughput characterization and AI-driven prediction in marine engineering11The Future of Concrete Structures’ Assessment: a Review of AI Applications for Aging Structures0The Use of Artificial Intelligence in Corrosion Management (State of the Art)0Effects of dynamic loading on response of reinforced concrete components using machine learning0Bayesian-optimized hierarchical mixture of experts for steel corrosion-rate prediction in cementitious mortars0Machine learning-based assessment of corrosion-related damages in low-rise reinforced concrete buildings0Predicting fracture energy and durability parameters of concrete through hybrid machine learning models2Probabilistic Corrosion Detection of Reinforced Concrete Structures via Magnetic Flux Leakage Signal and Bayesian Neural Network0Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams6Machine learning models for predicting carbonation depth in fly ash concrete: performance and interpretability insights4Advancements in Machine Learning for the Development of Cementitious Composites Toward an Intelligent and Green Lifecycle: A State-of-the-Art Review7Advanced Sensing and Digital Monitoring Technologies for Structural Health Assessment of Civil Infrastructure5Unveiling the rebar/concrete interface of reinforced concrete members with two triethanolamine derivatives under the condition of non-uniform corrosion0From molecules to structures: Role of artificial intelligence in fatigue fracture characterization of concrete1Behaviour of high grade concrete with recycled refractory brick aggregates and alccofine: an experimental and machine leaning based evaluation0Physics-Informed Hybrid Machine Learning Model for Carbonation Depth Prediction in Concrete through Residual Correction and Variogram Analysis of Response Surfaces0Integrating artificial intelligence and generative AI in structural engineering: A survey of methods and applications0

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  5. Intelligent design and manufacturing of ultra-high performance concrete (UHPC) – A review

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  11. Response of Reinforced Concrete Beams under the Combined Effect of Cyclic Loading and Carbonation

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