Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis

Singh, Rajwinder; Tipu, Rupesh Kumar; Mir, Ajaz Ahmad; Patel, Mahesh

doi:10.1007/s40996-024-01502-w

Iran J Sci Technol Trans Civ Eng

2024

DOI: 10.1007/s40996-024-01502-w

|View full text |Cite

Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis

Rajwinder Singh,

Rupesh Kumar Tipu,

Ajaz Ahmad Mir

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Golden jackal optimization-based regression analysis application on volume expansion estimation of cement pastes with MgO expansive additive

Tian,

Zhang,

Wang

2024

Multiscale and Multidiscip. Model. Exp. and Des.

View full text Add to dashboard Cite

Golden jackal optimization-based regression analysis application on volume expansion estimation of cement pastes with MgO expansive additive

Tian,

Zhang,

Wang

2024

Multiscale and Multidiscip. Model. Exp. and Des.

View full text Add to dashboard Cite

Machine learning based prediction of compressive and flexural strength of recycled plastic waste aggregate concrete

Yılmaz,

Nayır

2024

Structures

View full text Add to dashboard Cite

Municipal solid waste management in Ethiopia – Physical and chemical compositions and generation rate: Systematic review

Gebrekidan,

Gebremedhin,

Weldemariam

et al. 2024

Journal of the Air & Waste Management Association

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis

Cited by 4 publications

References 74 publications

Golden jackal optimization-based regression analysis application on volume expansion estimation of cement pastes with MgO expansive additive

Golden jackal optimization-based regression analysis application on volume expansion estimation of cement pastes with MgO expansive additive

Machine learning based prediction of compressive and flexural strength of recycled plastic waste aggregate concrete

Municipal solid waste management in Ethiopia – Physical and chemical compositions and generation rate: Systematic review

Contact Info

Product

Resources

About