Advanced statistical optimization and performance evaluation of self‐compacting geopolymer concrete utilizing industrial by‐products DOI
Naresh Thatikonda, Mainak Mallik, Venkateswara Rao Sarella

и другие.

Structural Concrete, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract This study optimizes self‐compacting geopolymer concrete (SCGC) by incorporating industrial by‐products, such as fly ash, ground‐granulated blast furnace slag, and rice husk ash (RHA), sustainable alternatives to conventional binders. The SCGC mixtures were designed with varying binder compositions activator solutions, their fresh hardened properties systematically evaluated. Workability tests, including slump flow, J‐ring, V‐funnel conducted assess the flowability stability, while compressive, tensile, flexural strength tests performed at 3, 7, 28 days evaluate mechanical performance. Advanced statistical tools, response surface methodology analysis of variance, employed identify key influencing factors develop predictive models. results indicate that an optimal RHA replacement 5%–10% combined a silica‐rich solution significantly enhances SCGC, achieving 28‐day compressive 55.6 MPa maintaining excellent workability. models demonstrated high accuracy in predicting performance trends, validating experimental findings. provides robust framework for optimizing mix designs advancing high‐performance construction materials.

Язык: Английский

Advanced statistical optimization and performance evaluation of self‐compacting geopolymer concrete utilizing industrial by‐products DOI
Naresh Thatikonda, Mainak Mallik, Venkateswara Rao Sarella

и другие.

Structural Concrete, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract This study optimizes self‐compacting geopolymer concrete (SCGC) by incorporating industrial by‐products, such as fly ash, ground‐granulated blast furnace slag, and rice husk ash (RHA), sustainable alternatives to conventional binders. The SCGC mixtures were designed with varying binder compositions activator solutions, their fresh hardened properties systematically evaluated. Workability tests, including slump flow, J‐ring, V‐funnel conducted assess the flowability stability, while compressive, tensile, flexural strength tests performed at 3, 7, 28 days evaluate mechanical performance. Advanced statistical tools, response surface methodology analysis of variance, employed identify key influencing factors develop predictive models. results indicate that an optimal RHA replacement 5%–10% combined a silica‐rich solution significantly enhances SCGC, achieving 28‐day compressive 55.6 MPa maintaining excellent workability. models demonstrated high accuracy in predicting performance trends, validating experimental findings. provides robust framework for optimizing mix designs advancing high‐performance construction materials.

Язык: Английский

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