Multigene Genetic Programming Based Prediction of Concrete Fracture Parameters of Unnotched Specimens
- Title
- Multigene Genetic Programming Based Prediction of Concrete Fracture Parameters of Unnotched Specimens
- Creator
- Sudhir M.R.; Beulah M.
- Description
- This study explores the fracture energy of notched and unnotched concrete specimens subjected to the classical three-point bend test, instantiating a gradational step in the continued development of concrete fracture mechanics. An experimental campaign involving 18 notched test specimens and nine unnotched specimens of three different grades of concrete, an examination of the existing literature models for unnotched specimens, and a novel Multigene Genetic programming (MGGP) based concrete fracture energy model for unnotched specimens are integral to this study. As a salient result, the multiple approaches to quasi-brittle materials adopted in the study, highlighted the criticality of the determination of fracture energy, tensile strength and characteristic length for the crack width study. The failure modes of notched and unnotched specimens were found to be similar. The reported literature has mainly focused on a limited number of fracture energy influencing parameters. Therefore, six impact parameters have been chosen and incorporated into the present study to provide a more acceptable explanation of concrete fracture behaviour. A sensitivity analysis of the parameters and an error analysis of the model undertaken have established the accuracy and robustness of the developed MGGP model. 2023 by the authors. Licensee C.E.J, Tehran, Iran.
- Source
- Civil Engineering Journal (Iran), Vol-9, No. 2, pp. 393-410.
- Date
- 2023-01-01
- Publisher
- Salehan Institute of Higher Education
- Subject
- Concrete; Fracture Parameters; Multigene Genetic Programming; Notched and Unnotched Specimens
- Coverage
- Sudhir M.R., Department of Civil Engineering, School of Engineering & Technology, CHRIST (Deemed to be University), Bangalore, India; Beulah M., Department of Civil Engineering, School of Engineering & Technology, CHRIST (Deemed to be University), Bangalore, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 26766957
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Sudhir M.R.; Beulah M., “Multigene Genetic Programming Based Prediction of Concrete Fracture Parameters of Unnotched Specimens,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/14420.