Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-2 of 2
Keywords: machine learning
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Journal:
Magazine of Concrete Research
Magazine of Concrete Research (2026) 78 (7-8): 433–452.
Published: 14 April 2026
.... This study provides original experimental data and reliable machine learning models to aid fibre selection and efficient design of experiments for FRCs. Corresponding author Mohd Ataullah Khan (mohdataullah.khan@mahindrauniversity.edu.in) Conflicts of interest The authors declare...
Includes: Supplementary data
Journal Articles
Journal:
Magazine of Concrete Research
Magazine of Concrete Research (2026) 78 (1-2): 18–44.
Published: 11 December 2025
... (FRP-RC) beams, particularly those without shear reinforcement, remains challenging owing to the involvement of multiple design variables. Existing models often rely on semi-empirical approaches, which can produce inconsistent results. An approach based on machine learning ( ML ) to enhance...
