Geopolymer and alkali-activated permeable concrete pavements: Bibliometrics and systematic current state of the art review, applications, and perspectives

Construction and Building Materials, Год журнала: 2024, Номер 421, С. 135586 - 135586

Опубликована: Март 1, 2024

Язык: Английский

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Research on the frost resistance performance of fully recycled pervious concrete reinforced with fly ash and basalt fiber

Journal of Building Engineering, Год журнала: 2024, Номер 86, С. 108792 - 108792

Опубликована: Фев. 17, 2024

Язык: Английский

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Recycled aggregates from construction and demolition waste in pervious concrete

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 11 - 34

Опубликована: Янв. 1, 2025

Язык: Английский

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Optimization and Prediction of Colored Pervious Concrete Properties: Enhancing Performance through Augmented Grey Wolf Optimizer and Artificial Neural Networks

Materials Today Communications, Год журнала: 2025, Номер unknown, С. 112069 - 112069

Опубликована: Фев. 1, 2025

Язык: Английский

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Construction and demolition waste circulation and its sustainability performance in the building sector: current trend and future directions

Engineering Construction & Architectural Management, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Purpose The building industry generates around ten billion tons of construction and demolition waste (CDW) annually worldwide, posing both financial burdens on contractors significant environmental hazards. Embracing a circular economy (CE) approach emerges as promising strategy for sustainably managing the vast volumes CDW. However, sustainable performance many attempts in CDW circulation is still questioned need to be justified. This study transcends traditional reviews by adopting systematic literature review, focusing central question: “What’s contribution 3R principle its sustainability performance?” Design/methodology/approach methodological framework encompasses searching, screening quality assessment, culminating selection 177 articles bibliometric integrative analysis. Comparative assessments were conducted major reduction strategies, reuse materials, recycling rates other strategies. process was also discussed well modern advanced tools used design such information model (BIM), AI geographic systems (GIS). Findings analysis reveals evolution selected publications year, country research hotspots. Through analysis, explored principles adopted circulation, including reduction, recycling, methods across key global economies. There notable disparity volume addressing compared recycling. In comparison economic circulations, social has received less attention. Moreover, ventured into prospective trajectories, exploring future themes adoption “zero-waste” industry, promotion higher-level material circularity, institutional network among stakeholders practice, new holistic Originality/value Few this field have focused circulation. comprehensive not only contributes valuable insights current state within CE paradigm but directs attention toward critical avenues area.

Язык: Английский

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Sustainable building materials-recycled aggregate and concrete: a systematic review of properties, modification techniques, and environmental impacts

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(14), С. 20814 - 20852

Опубликована: Фев. 24, 2024

Язык: Английский

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The Prediction of Pervious Concrete Compressive Strength Based on a Convolutional Neural Network

Buildings, Год журнала: 2024, Номер 14(4), С. 907 - 907

Опубликована: Март 27, 2024

To overcome limitations inherent in existing mechanical performance prediction models for pervious concrete, including material constraints, limited applicability, and inadequate accuracy, this study employs a deep learning approach to construct Convolutional Neural Network (CNN) model with three convolutional modules. The primary objective of the is precisely predict 28-day compressive strength concrete. Eight input variables, encompassing coarse fine aggregate content, water admixture cement fly ash silica fume were selected model. dataset utilized both training testing consists 111 sample sets. ensure model’s coverage within practical range concrete enhance its robustness real-world applications, an additional 12 sets experimental data incorporated testing. research findings indicate that, comparison conventional machine method Backpropagation (BP) neural networks, developed CNN paper demonstrates higher coefficient determination, reaching 0.938, on test dataset. mean absolute percentage error 9.13%, signifying that proposed exhibits notable accuracy universality predicting regardless materials used preparation.

Язык: Английский

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Microscopic Factors Affecting the Performance of Pervious Concrete

Materials, Год журнала: 2024, Номер 17(7), С. 1479 - 1479

Опубликована: Март 24, 2024

The impacts of various aggregate particle sizes and cement contents on the internal structure pervious concrete were investigated. Accordingly, test blocks with different dissected photographed. Subsequently, captured images processed using ImageJ software (1.53i) to analyze profiles identify mesoscopic parameters concrete. This study discusses relationship between microscopic macroscopic factors based experimental results. It also fits functional equations linking permeability coefficient pore parameters, matrix compressive strength. results indicated that, as size increased, diameter whereas total area width decreased. resulted in a low high strength block. Increasing content reduced porosity increased matrix. Consequently, decreased, block increased.

Язык: Английский

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Experimental study on the fly ash-basalt fiber reinforced recycled coarse aggregate pervious concrete

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 135, С. 103652 - 103652

Опубликована: Июнь 5, 2024

Язык: Английский

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Enhancing circularity of wood waste through deconstruction in building sector

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144382 - 144382

Опубликована: Дек. 1, 2024

Язык: Английский

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