Applied Soft Computing, Journal Year: 2024, Volume and Issue: 159, P. 111661 - 111661
Published: April 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.
Language: Английский
Citations
20Understanding relationships between aging induced variation of asphaltene aggregation morphology and asphalt properties through molecular dynamics simulation
Construction and Building Materials, Journal Year: 2024, Volume and Issue: 420, P. 135610 - 135610
Published: March 1, 2024
Language: Английский
Citations
12Investigation of the fracture behavior of cemented waste rock-tailing backfill by digital image correlation technique and discrete element modeling
Construction and Building Materials, Journal Year: 2024, Volume and Issue: 428, P. 136367 - 136367
Published: April 24, 2024
Language: Английский
Citations
10The influence of different water glass moduli on the chemical corrosion resistance of alkali-activated porous concrete
Construction and Building Materials, Journal Year: 2024, Volume and Issue: 415, P. 134971 - 134971
Published: Jan. 23, 2024
Language: Английский
Citations
8Evaluating Recycled PET as an Alternative Material for the Construction Sector Towards Sustainability
Civil Engineering Journal, Journal Year: 2024, Volume and Issue: 10(4), P. 1336 - 1353
Published: April 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
Language: Английский
Citations
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, Journal Year: 2024, Volume and Issue: 436, P. 136826 - 136826
Published: June 7, 2024
Language: Английский
Citations
8Dynamic viscoelastic properties of ultra-large particle size asphalt mixture based on fractional derivative constitutive model
Construction and Building Materials, Journal Year: 2024, Volume and Issue: 445, P. 137893 - 137893
Published: Aug. 17, 2024
Language: Английский
Citations
8Machine learning modeling of pavement performance and IRI prediction in flexible pavement
Innovative Infrastructure Solutions, Journal Year: 2024, Volume and Issue: 9(10)
Published: Sept. 14, 2024
Language: Английский
Citations
8Transforming Waste to Wealth: Harnessing Carbon Dioxide for Sustainable Solutions
Results in Surfaces and Interfaces, Journal Year: 2024, Volume and Issue: unknown, P. 100321 - 100321
Published: Oct. 1, 2024
Language: Английский
Citations
8Sustainable pavement design: A comprehensive study on incorporating 100 % recycled asphalt pavement and utilizing 100 % industrial solid waste
Construction and Building Materials, Journal Year: 2025, Volume and Issue: 462, P. 139972 - 139972
Published: Jan. 18, 2025
Language: Английский
Citations
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