Machine Learning and Regression Models for Evaluating Ultimate Performance of Cotton Rope-Confined Recycled Aggregate Concrete DOI Creative Commons

Kittipoom Rodsin,

Ali Ejaz, Huaping Wang

и другие.

Buildings, Год журнала: 2024, Номер 15(1), С. 64 - 64

Опубликована: Дек. 28, 2024

This study investigates the use of cotton ropes (CRs) as a sustainable and cost-effective substitute for synthetic fiber-reinforced polymers concrete confinement, offering significant environmental benefits such lower CO2 emissions reduced energy consumption. The work evaluates effectiveness CR strips confining concrete, including scenarios with recycled aggregates (ReCA). Compressive strength improvements varied among specimens, Specimen I-3F showing 140.52% increase II-3F achieving 46.67% improvement. Strip configurations Type I aggregate (RAC) outperformed full wraps on II RAC, exemplified by I-3S’s 84.51% Ultimate strain enhancements ranged from 915% to 4490.91%, driven rupture rope confinement. For complete wrapping significantly strip 56%, 50%, 32% in ultimate improvement 1, 2, 3 layers, respectively. confinement ratio, varying 0.10 0.70, greatly influenced compressive behavior, normalized unconfined increasing consistently ratio. A minimum ratio roughly 0.40 is required achieve an second part behavior. initial parabolic branch was modeled using Popovics’ formulation, revealing elastic modulus approximately 20% than ACI 318-19 predictions. described linear approximation, nonlinear regression analysis produced expressions key points idealized curve, enhancing model accuracy CR-confined RAC. R2 values performed experimental results were greater 0.90. highlights neural network predict concrete. reduction (ratio wrap height CRs) factor 0.67 proposed used strip-wrapped specimens. It seen that models also predicted partially wrapped specimens reasonable factor.

Язык: Английский

Lifecycle Assessment and Lifecycle Cost Analysis of Sustainable Concrete Incorporating Recycled Aggregates DOI Open Access

Yi Zheng,

Quan Li, Ling Zhou

и другие.

Sustainability, Год журнала: 2025, Номер 17(5), С. 1779 - 1779

Опубликована: Фев. 20, 2025

In recent decades, the construction industry in China has experienced significant growth, leading to substantial consumption of non-renewable natural resources and a large amount demolition waste (CDW). As result, effective utilization CDW become critically important China. This study focuses on processing produce recycled fine aggregates (RFAs) coarse (RCAs), which were subsequently used aggregate concrete (RAC). A total 12 RAC composites incorporating RFAs RCAs prepared, their compressive strength was evaluated detail. The life cycle assessment (LCA) methodology employed assess environmental impact 1 m3 within “cradle-to-gate” system boundary. Furthermore, cost analysis (LCCA) method applied evaluate economic benefits RAC. contributions analyzed Lastly, multi-criteria decision (MCDA) using Data Envelopment Analysis (DEA) approach proposed comprehensively compare impacts ordinary concrete. results LCA LCCA indicate that inclusion composite mixtures leads benefits. MCDA identified optimized mixture as one containing 70% RCA 100% RFA, demonstrated best performance terms mechanical properties, impact, cost. addition RFA production can significantly reduce both costs, thereby enhancing sustainability industry.

Язык: Английский

Процитировано

0

Machine Learning and Regression Models for Evaluating Ultimate Performance of Cotton Rope-Confined Recycled Aggregate Concrete DOI Creative Commons

Kittipoom Rodsin,

Ali Ejaz, Huaping Wang

и другие.

Buildings, Год журнала: 2024, Номер 15(1), С. 64 - 64

Опубликована: Дек. 28, 2024

This study investigates the use of cotton ropes (CRs) as a sustainable and cost-effective substitute for synthetic fiber-reinforced polymers concrete confinement, offering significant environmental benefits such lower CO2 emissions reduced energy consumption. The work evaluates effectiveness CR strips confining concrete, including scenarios with recycled aggregates (ReCA). Compressive strength improvements varied among specimens, Specimen I-3F showing 140.52% increase II-3F achieving 46.67% improvement. Strip configurations Type I aggregate (RAC) outperformed full wraps on II RAC, exemplified by I-3S’s 84.51% Ultimate strain enhancements ranged from 915% to 4490.91%, driven rupture rope confinement. For complete wrapping significantly strip 56%, 50%, 32% in ultimate improvement 1, 2, 3 layers, respectively. confinement ratio, varying 0.10 0.70, greatly influenced compressive behavior, normalized unconfined increasing consistently ratio. A minimum ratio roughly 0.40 is required achieve an second part behavior. initial parabolic branch was modeled using Popovics’ formulation, revealing elastic modulus approximately 20% than ACI 318-19 predictions. described linear approximation, nonlinear regression analysis produced expressions key points idealized curve, enhancing model accuracy CR-confined RAC. R2 values performed experimental results were greater 0.90. highlights neural network predict concrete. reduction (ratio wrap height CRs) factor 0.67 proposed used strip-wrapped specimens. It seen that models also predicted partially wrapped specimens reasonable factor.

Язык: Английский

Процитировано

1