Shear behavior of steel fiber reinforced concrete using full-field displacements from digital image correlation
MATEC Web Conf., 120 (2017) 04003
Published online: 2017-08-09
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Improved shear strength prediction model for SFRC beams without stirrups
Shoaib Ahmad and Liusheng HeEngineering Computations 42 (2) 518 (2025)
https://doi.org/10.1108/EC-02-2024-0130
Shear strength predicting models for steel fiber-reinforced concrete beams without stirrups: a review
Bichitra Singh Negi and Kranti JainJournal of Structural Integrity and Maintenance 9 (4) (2024)
https://doi.org/10.1080/24705314.2024.2431462
Assessment of flexural response of RC beams and unrestrained shrinkage of fiber-reinforced high-volume fly ash-based no-aggregate concrete and self-compacting concrete
Laxman Kudva P., Gopinatha Nayak, Kiran K. Shetty and Sugandhini H.K.Construction and Building Materials 431 136527 (2024)
https://doi.org/10.1016/j.conbuildmat.2024.136527
Evaluation of the replacement of minimum shear reinforcement by steel fibers in reinforced concrete beams
Giuliana Furtado Franca Bono, Gustavo Bono and Marinaldo dos Santos JúniorRevista IBRACON de Estruturas e Materiais 17 (4) (2024)
https://doi.org/10.1590/s1983-41952024000400005
A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS
Odey Alshboul, Ghassan Almasabha, Ali Shehadeh and Khaled Al-ShboulStructures 61 106009 (2024)
https://doi.org/10.1016/j.istruc.2024.106009
A Digital Image Correlation Technique for Laboratory Structural Tests and Applications: A Systematic Literature Review
Mohammed Abbas Mousa, Mustafasanie M. Yussof, Thulfiqar S. Hussein, Lateef N. Assi and SeyedAli GhahariSensors 23 (23) 9362 (2023)
https://doi.org/10.3390/s23239362
Improved Shear Strength Prediction Model of Steel Fiber Reinforced Concrete Beams by Adopting Gene Expression Programming
Moiz Tariq, Azam Khan, Asad Ullah, Javad Shayanfar and Momina NiazMaterials 15 (11) 3758 (2022)
https://doi.org/10.3390/ma15113758
Shear slip post-cracking behaviour of polyolefin and steel fibre reinforced concrete
A. Picazo, M.G. Alberti, J.C. Gálvez and A. EnfedaqueConstruction and Building Materials 290 123187 (2021)
https://doi.org/10.1016/j.conbuildmat.2021.123187
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach
Jesika Rahman, Khondaker Sakil Ahmed, Nafiz Imtiaz Khan, Kamrul Islam and Sujith MangalathuEngineering Structures 233 111743 (2021)
https://doi.org/10.1016/j.engstruct.2020.111743
ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups
Miguel Abambres and Eva O.L. LantsoghtFibers 7 (10) 88 (2019)
https://doi.org/10.3390/fib7100088
Database of Shear Experiments on Steel Fiber Reinforced Concrete Beams without Stirrups
Eva LantsoghtMaterials 12 (6) 917 (2019)
https://doi.org/10.3390/ma12060917
How do steel fibers improve the shear capacity of reinforced concrete beams without stirrups?
Eva O.L. LantsoghtComposites Part B: Engineering 175 107079 (2019)
https://doi.org/10.1016/j.compositesb.2019.107079
Assessment of the shear behaviour of polyolefin fibre reinforced concrete and verification by means of digital image correlation
A. Picazo, J.C. Gálvez, M.G. Alberti and A. EnfedaqueConstruction and Building Materials 181 565 (2018)
https://doi.org/10.1016/j.conbuildmat.2018.05.235