Properties of waste brick powder-based artificial fine aggregate and its application in concrete DOI
Jun Zhao,

Yuxiang Li,

Xiaopeng Li

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111466 - 111466

Published: Dec. 1, 2024

Language: Английский

Geopolymer and alkali-activated permeable concrete pavements: Bibliometrics and systematic current state of the art review, applications, and perspectives DOI
Shriram Marathe, Łukasz Sadowski, Nidhi Shree

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 421, P. 135586 - 135586

Published: March 1, 2024

Language: Английский

Citations

18

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

Shucheng Yuan,

Kunpeng Li, Jiale Luo

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 86, P. 108792 - 108792

Published: Feb. 17, 2024

Language: Английский

Citations

16

The Prediction of Pervious Concrete Compressive Strength Based on a Convolutional Neural Network DOI Creative Commons
Gaoming Yu, Senlai Zhu, Ziru Xiang

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(4), P. 907 - 907

Published: March 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.

Language: Английский

Citations

3

Recycled aggregates from construction and demolition waste in pervious concrete DOI
Hilal El-Hassan

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 11 - 34

Published: Jan. 1, 2025

Language: Английский

Citations

0

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

Ahmet Tugrul Koc,

Sadık Alper Yıldızel

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 112069 - 112069

Published: Feb. 1, 2025

Language: Английский

Citations

0

Construction and demolition waste circulation and its sustainability performance in the building sector: current trend and future directions DOI
Shi‐Yao Zhu, Haibo Feng

Engineering Construction & Architectural Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 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.

Language: Английский

Citations

0

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

Yadong Bian,

Jihui Zhao

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(14), P. 20814 - 20852

Published: Feb. 24, 2024

Language: Английский

Citations

3

Microscopic Factors Affecting the Performance of Pervious Concrete DOI Open Access
Qin Liu,

Hu Li,

Qianli Cao

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(7), P. 1479 - 1479

Published: March 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.

Language: Английский

Citations

1

Experimental study on the fly ash-basalt fiber reinforced recycled coarse aggregate pervious concrete DOI
Kunpeng Li, Jiale Luo, Fengyu Zhang

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 135, P. 103652 - 103652

Published: June 5, 2024

Language: Английский

Citations

1

Enhancing circularity of wood waste through deconstruction in building sector DOI
Shi‐Yao Zhu, Haibo Feng

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144382 - 144382

Published: Dec. 1, 2024

Language: Английский

Citations

1