An Ultrasonic-AI Hybrid Approach for Predicting Void Defects in Concrete-Filled Steel Tubes via Enhanced XGBoost with Bayesian Optimization

Case Studies in Construction Materials, Год журнала: 2025, Номер unknown, С. e04359 - e04359

Опубликована: Фев. 1, 2025

Язык: Английский

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A predictive model for the freeze-thaw concrete durability index utilizing the deeplabv3+ model with machine learning

Construction and Building Materials, Год журнала: 2025, Номер 459, С. 139788 - 139788

Опубликована: Янв. 1, 2025

Язык: Английский

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A review on properties and multi-objective performance predictions of concrete based on machine learning models

Materials Today Communications, Год журнала: 2025, Номер unknown, С. 112017 - 112017

Опубликована: Фев. 1, 2025

Язык: Английский

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Explainable hybridized ensemble machine learning for the prognosis of the compressive strength of recycled plastic-based sustainable concrete with experimental validation

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 7(6), С. 6073 - 6096

Опубликована: Авг. 21, 2024

Язык: Английский

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A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation

Case Studies in Construction Materials, Год журнала: 2024, Номер 20, С. e03037 - e03037

Опубликована: Март 6, 2024

To maintain pavement in good condition while considering financial costs and sustainability, it is necessary to develop a comprehensive management plan. Pavement Maintenance Rehabilitation (M&R) consists of two essential components: firstly, predicting the within specified timeframe, secondly, employing an appropriate optimization algorithm. This study utilized three ensemble learning techniques including extreme gradient boosting, categorical light boosting machine accurate predictions about condition. Subsequently, most prediction technique, which was combined with non-dominated sorting genetic algorithm III multi-objective metaheuristic algorithm, resulting hybrid technique that offers highly maintenance rehabilitation planning. Although previous studies neglected important criteria such as road closure process, this takes into account four objective functions greenhouse gas emission, M&R cost, condition, be minimized over 5-year program. process generated 52 optimal solutions known Pareto front. compare rank various plans, grey relational analysis employed. The results suggested there direct correlation between GHG emissions. Minimizing only conditions planning can significantly increase emissions, costs, closure. Implementing preventive actions reduce overall medium are recommended optimize pavements.

Язык: Английский

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Innovative Approaches, Challenges, and Future Directions for Utilizing Carbon Dioxide in Sustainable Concrete Production

Journal of Building Engineering, Год журнала: 2024, Номер unknown, С. 110904 - 110904

Опубликована: Сен. 1, 2024

Язык: Английский

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Prediction of split tensile strength of recycled aggregate concrete leveraging explainable hybrid XGB with optimization algorithm

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 7(4), С. 4343 - 4359

Опубликована: Май 31, 2024

Язык: Английский

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Finite-Element-Based Time-Dependent Service Life Prediction for Carbonated Reinforced Concrete Aqueducts

Applied Sciences, Год журнала: 2025, Номер 15(1), С. 463 - 463

Опубликована: Янв. 6, 2025

This study proposes a time-dependent reliability analysis method for aqueduct structures based on concrete carbonation and finite element analysis. The primary goal of this is to improve the assessment reinforced aqueducts by incorporating environmental factors such as over time. First, three-dimensional model established using Midas 2022 Civil software, time-varying function derived from predictive depth. Point estimation then integrated with structural calculate first four moments random variables functions carbonation. Additionally, original performance transformed into normal distribution dual power transformation Jarque–Bera test. high-order unscented (HUT) subsequently employed estimate function, facilitating calculation indices carbonated aqueduct. Based index data, corresponding different time points fitted applied service life prediction. results demonstrate that proposed effectively reduces large errors associated fourth-moment in calculating indices. Furthermore, comparison Monte Carlo simulation (MCS) validates high efficiency accuracy method, offering valuable tool addressing challenges exposed other

Язык: Английский

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Study of Entropy Weight-Grey theory-BP Network life prediction Model of unit silica fume concrete lining under the influence of carbonation-sulfate freeze-thaw cycle erosion

Research in Cold and Arid Regions, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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Research on carbonation percentage of carbonated recycled concrete fine aggregate: experimental investigation and machine learning prediction

Journal of Sustainable Cement-Based Materials, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Янв. 19, 2025

Язык: Английский

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