Carbonation depth assessment of recycled aggregate concrete: An application of conformal prediction intervals DOI
Parisa Hajibabaee, Ali Behnood, Tuan Ngo

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 126231 - 126231

Published: Dec. 1, 2024

Language: Английский

Determination of carbonation depth and pH in concrete containing crystalline waterproofing agents using the endoscopic method DOI
Tayfun Uygunoğlu, Uğur Fidan, Barış Şimşek

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 94, P. 110041 - 110041

Published: June 25, 2024

Language: Английский

Citations

0

Mixed-Curve Model for Evaluating the Carbonation Depth of Concrete at Different Ages DOI Open Access
Xinhao Wang, Qiuwei Yang,

Hongfei Cao

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(19), P. 4710 - 4710

Published: Sept. 25, 2024

To accurately quantify the variation in concrete carbonation depth, selecting an appropriate mathematical curve model is crucial. Currently prevalent models, such as Fick and exponential confront limitations prediction accuracy range of application. Given that a single struggles to precisely describe pattern carbonation, this work introduces mixed-curve-based for effectively integrating with hyperbolic model. Compared model, additional term mixed-curve can be viewed reasonable correction better adapt complex varied conditions carbonation. This hybrid transcends individual enhancing fitting precision broadening scope applicability. The new boasts concise structure only two parameters, facilitating ease validate its superiority, rigorous comparisons were conducted between proposed existing ones, leveraging experimental data from 10 distinct scenarios. By comparing average error, standard deviation, coefficient determination across these cases, demonstrates clear advantage over In terms errors, error deviation are notably lower than those other models. determination, values achieved by all examples closer 1 both underscoring model’s superior quality remarkable stability. research indicates combined presented paper holds promising prospects widespread application predicting depth.

Language: Английский

Citations

0

Interpretable reduced-order optimization research for improving indoor environmental quality in buildings based on dimensional analysis and surrogate-based optimization DOI
Qianhao Xiao,

Yougen Huang,

Jun Wang

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 98, P. 111083 - 111083

Published: Oct. 18, 2024

Language: Английский

Citations

0

Prediction of Depth of Carbonation Using Electro–Mechanical Impedance DOI

Maheshwari Sonker,

Rama Shanker

Lecture notes in civil engineering, Journal Year: 2024, Volume and Issue: unknown, P. 369 - 379

Published: Nov. 23, 2024

Language: Английский

Citations

0

Carbonation depth assessment of recycled aggregate concrete: An application of conformal prediction intervals DOI
Parisa Hajibabaee, Ali Behnood, Tuan Ngo

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 126231 - 126231

Published: Dec. 1, 2024

Language: Английский

Citations

0