Permeability measurement and prediction of pervious concrete pavements DOI
Ricardo Pieralisi, Fábio Cunha Lofrano, Rafael Jansen Mikami

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 271 - 298

Published: Jan. 1, 2025

Language: Английский

Study on the use of CO2 to strengthen recycled aggregates and pervious concrete DOI
Yongsheng Ma,

Qiming You,

Jinjun Li

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 418, P. 135372 - 135372

Published: Feb. 16, 2024

Language: Английский

Citations

22
Investigation of impact of aggregate shape on pervious concrete using machine learning classification methods DOI
Sathushka Heshan Bandara Wijekoon, Navakulan Ahilash,

Varatharaja Pravinjan

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 110008 - 110008

Published: Jan. 7, 2025

Language: Английский

Citations

2
Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks DOI Creative Commons
Yinglong Wu, Ricardo Pieralisi,

F. Gersson B. Sandoval

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 443, P. 137619 - 137619

Published: Aug. 7, 2024

This study makes a significant contribution to the field of pervious concrete by using machine learning innovatively predict both mechanical and hydraulic performance. Unlike existing methods that rely on labor-intensive trial-and-error experiments, our proposed approach leverages multilayer perceptron network. To develop this approach, we compiled comprehensive dataset comprising 271 sets 3,252 experimental data points. Our methodology involved evaluating 22,246 network configurations, employing Monte Carlo cross-validation over 20 iterations, 4 training algorithms, resulting in total 1,779,680 iterations. results an optimized model integrates diverse mix design parameters, enabling accurate predictions permeability compressive strength even absence data, achieving R² values 0.97 0.98, respectively. Sensitivity analyses validate model's alignment with established principles behavior. By demonstrating efficacy as complementary tool for optimizing designs, research not only addresses current methodological limitations but also lays groundwork more efficient effective approaches field.

Language: Английский

Citations

11
Abrasion and Maintenance of High-Strength Fiber-Reinforced Pervious Concrete DOI Creative Commons
Ho Woo Lee, Yung-Chih Wang, Wei-Chien Wang

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(1), P. 127 - 127

Published: Jan. 3, 2024

This study examines the properties of ordinary and high-strength fiber-reinforced pervious concrete, aiming for a 28-day compressive strength exceeding 40 MPa with target porosity close to 15%. Utilizing glass fiber (at 0.25% 0.5% volume ratios) steel 1% 2%), conducts mechanical abrasion resistance testing on concrete specimens. Sand dust clogging experimental simulations assess permeability coefficients both application maintenance purposes, revealing optimized maintenance, including vacuum cleaning high-pressure washing, can restore water over 60%. The specific mix designs demonstrate achieves ranging from 52 MPa, corresponding porosities 7% 16%. Results highlight significant impact ASTM C1747 test, where exhibits cumulative rate reaching 60%, contrasting approximately 20% other

Language: Английский

Citations

9
Investigation of mechanical strength, permeability, durability and environmental effects of pervious concrete from travertine waste material DOI
Tianzhen Li, Xiaonan Tang, Jun Xia

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 426, P. 136175 - 136175

Published: April 9, 2024

Language: Английский

Citations

9
Porous concrete modification with silica fume and ground granulated blast furnace slag: Hydraulic and mechanical properties before and after freeze-thaw exposure DOI
Demet Yavuz, Zehra Funda Akbulut, Soner Güler

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 447, P. 138099 - 138099

Published: Aug. 31, 2024

Language: Английский

Citations

9
Influence of different aggregate characteristics on pervious concrete DOI

Bobo Xiong,

Xuan Wu, Wei Liu

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 460, P. 139789 - 139789

Published: Jan. 1, 2025

Language: Английский

Citations

1
Permeable pavement blocks as a sustainable solution for managing microplastic pollution in urban stormwater DOI
J. D. Kong, Seongeom Jeong, Jieun Lee

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 966, P. 178649 - 178649

Published: Feb. 1, 2025

Language: Английский

Citations

1
Influence mechanism of brick-concrete ratio on the mechanical properties and water permeability of recycled aggregate pervious concrete: Macroscopic and mesoscopic insights DOI
Peichen Cai, Xuesong Mao,

Xiaoyong Lai

et al.

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 467, P. 140379 - 140379

Published: Feb. 13, 2025

Language: Английский

Citations

1
Effect of mineral admixtures on the calcium leaching resistance of porous cement stabilized macadam DOI
Junlin Liang,

Haoyun Liao,

Liunan Wang

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 421, P. 135712 - 135712

Published: March 1, 2024

Language: Английский

Citations

8