Exploring the potential of neural network in assessing mechanical properties of geopolymer concrete incorporating fly ash and phosphogypsum in pavement applications

Pratap, Bheem; Shubham, Kumar; Mondal, Somenath; Rao, Bendadi Hanumantha

doi:10.1007/s42107-023-00735-w

Record: found
Abstract: not found
Article: not found

Exploring the potential of neural network in assessing mechanical properties of geopolymer concrete incorporating fly ash and phosphogypsum in pavement applications

Author(s): Bheem Pratap , Kumar Shubham , Somenath Mondal , Bendadi Hanumantha Rao

Publication date (Electronic): May 30 2023

Journal: Asian Journal of Civil Engineering

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 37

Record: found
Abstract: not found
Article: not found

Mechanism of geopolymerization and factors influencing its development: a review

Divya Khale, Rubina Chaudhary (2007)

0 comments Cited 215 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Fly ash-based eco-friendly geopolymer concrete: A critical review of the long-term durability properties

Mugahed Amran, Solomon Debbarma, Togay Ozbakkaloglu (2021)

0 comments Cited 73 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

Mulusew Getahun, Stanley Shitote, Zachary Abiero Gariy (2018)

0 comments Cited 66 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Title: Asian Journal of Civil Engineering

Abbreviated Title: Asian J Civ Eng

ISSN (Print): 1563-0854

ISSN (Electronic): 2522-011X

Publication date Created: December 2023

Publication date (Electronic): May 30 2023

Publication date (Print): December 2023

Volume: 24

Issue: 8

Pages: 3575-3589

Article

DOI: 10.1007/s42107-023-00735-w

SO-VID: 9e2afa5d-21cf-407b-9fe0-118d684698cc

License:

https://www.springernature.com/gp/researchers/text-and-data-mining

History

Data availability:

Exploring the potential of neural network in assessing mechanical properties of geopolymer concrete incorporating fly ash and phosphogypsum in pavement applications

Read this article at

Related collections

Electrospinning for biomedical applications

Most cited references 37

Mechanism of geopolymerization and factors influencing its development: a review

Fly ash-based eco-friendly geopolymer concrete: A critical review of the long-term durability properties

Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 2,267

Cited by 3

Most referenced authors 236