Applied Soft Computing, Год журнала: 2024, Номер 159, С. 111661 - 111661
Опубликована: Апрель 23, 2024
This study addresses the enhanced prevalence of carbonation, a process accelerating steel reinforcement corrosion, in recycled aggregate concrete (RAC) compared to natural concrete. Traditional carbonation depth assessment methods RAC are noted for being labor-intensive, costly, and requiring specialized expertise. There's deficiency application machine learning techniques accurately predicting RAC, gap this aims fill. Utilizing extreme gradient boosting (XGBoost) technique, recognized its efficacy ensemble learning, innovates modeling RAC. It emphasizes criticality hyperparameter optimization XGBoost algorithm maximizing model accuracy. To achieve this, three novel metaheuristic algorithms, including reptile search (RSA), Aquila optimizer (AO), arithmetic (AOA), were introduced as global optimizers tunning hyperparameters. The was underpinned by comprehensive database compiled from extensive literature, facilitating development an accurate model. Through rigorous evaluations, sensitivity analyses, Wilcoxon signed-rank test, runtime comparisons, synthesized models demonstrated exceptional accuracy, with coefficients determination exceeding 0.95. XGBoost-AO algorithm, particular, showcased superior performance, XGBoost-RSA providing efficient predictions considering runtime. SHapley Additive exPlanations (SHAP) interpretation highlighted environmental conditions significant influencers. A user-friendly graphical user interface developed, enhancing practical utility findings progression over time. research significantly advances predictive accuracy contributing sustainable management infrastructures emphasizing integration advanced structural engineering advancements.
Язык: Английский
Процитировано
20Understanding relationships between aging induced variation of asphaltene aggregation morphology and asphalt properties through molecular dynamics simulation
Construction and Building Materials, Год журнала: 2024, Номер 420, С. 135610 - 135610
Опубликована: Март 1, 2024
Язык: Английский
Процитировано
12Investigation of the fracture behavior of cemented waste rock-tailing backfill by digital image correlation technique and discrete element modeling
Construction and Building Materials, Год журнала: 2024, Номер 428, С. 136367 - 136367
Опубликована: Апрель 24, 2024
Язык: Английский
Процитировано
10The influence of different water glass moduli on the chemical corrosion resistance of alkali-activated porous concrete
Construction and Building Materials, Год журнала: 2024, Номер 415, С. 134971 - 134971
Опубликована: Янв. 23, 2024
Язык: Английский
Процитировано
8Evaluating Recycled PET as an Alternative Material for the Construction Sector Towards Sustainability
Civil Engineering Journal, Год журнала: 2024, Номер 10(4), С. 1336 - 1353
Опубликована: Апрель 1, 2024
Addressing the environmental threat of Polyethylene Terephthalate (PET) waste is critical for sustainable development. Despite PET's prevalence in everyday products, its improper disposal endangers health. This study targets a pivotal gap current research. PET waste's potential as building material will be thoroughly evaluated, focusing on whether recycling feasible. In construction industry, it can substitute natural sand and an additive cement. contributes to dual-purpose solution: mitigating pollution innovating science. The systematic literature review (SLR) delves into existing studies, impact concrete properties when substituting at ratios 5% 20% cement 0.5% 2% by weight. findings revealed that up 10% replacement enhances compressive strength, highlighting pathway practices. However, replacements above show reduction indicating optimal substitution threshold. Moreover, incorporating additives 1% weight optimizes flexural underscoring material's viability enhancing structural integrity. sheds light application reducing proposes viable, eco-friendly alternative materials. recommendation further research underscores necessity refine construction, aiming bridge knowledge encourage future innovations. Doi: 10.28991/CEJ-2024-010-04-020 Full Text: PDF
Язык: Английский
Процитировано
8Improving mechanism for recycling efficiency of ceramic construction solid waste and properties of composite backfill based on aggregate particle size distribution
Construction and Building Materials, Год журнала: 2024, Номер 436, С. 136826 - 136826
Опубликована: Июнь 7, 2024
Язык: Английский
Процитировано
8Dynamic viscoelastic properties of ultra-large particle size asphalt mixture based on fractional derivative constitutive model
Construction and Building Materials, Год журнала: 2024, Номер 445, С. 137893 - 137893
Опубликована: Авг. 17, 2024
Язык: Английский
Процитировано
8Machine learning modeling of pavement performance and IRI prediction in flexible pavement
Innovative Infrastructure Solutions, Год журнала: 2024, Номер 9(10)
Опубликована: Сен. 14, 2024
Язык: Английский
Процитировано
8Transforming Waste to Wealth: Harnessing Carbon Dioxide for Sustainable Solutions
Results in Surfaces and Interfaces, Год журнала: 2024, Номер unknown, С. 100321 - 100321
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
8Sustainable pavement design: A comprehensive study on incorporating 100 % recycled asphalt pavement and utilizing 100 % industrial solid waste
Construction and Building Materials, Год журнала: 2025, Номер 462, С. 139972 - 139972
Опубликована: Янв. 18, 2025
Язык: Английский
Процитировано
1