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Journal article
Sensitivity of embedded channel for self-healing agent delivery on splitting tensile strength of concrete
Journal of Building Engineering, v 102, 111838
01 Feb 2025
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
In self-healing concrete, one of the approaches to deliver healing agents to crack locations is by implementing vascularized channels. However, it is crucial to ensure that these channels do not significantly decrease the mechanical strength of the concrete structure. In this paper, the impact of channel size on the tensile strength of the cementitious material was investigated, both experimentally and numerically. The experiments utilized the Brazilian test, also known as the splitting tensile test, to determine the tensile strength of the material. For numerical simulations, Finite Element Analysis with the phase-field method was employed to simulate the mechanical response and crack propagation of the cementitious material under splitting tensile test. It was found that by bringing the consideration of aggregate distribution, voids ratio, and interfacial transition zone to the numerical model, the prediction accuracy of the model increases significantly when compared with experiments (i.e.,
value of 0.96). Additionally, both experimental and numerical results observed negligible (i.e., less than 10%) splitting tensile strength reduction when the diameter of (micro) drilling channels are much smaller than the maximum aggregate size of the material. These findings are crucial not only for the design of vascularized self-healing concrete but also for the building and construction of concrete structure in general.
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Details
- Title
- Sensitivity of embedded channel for self-healing agent delivery on splitting tensile strength of concrete
- Creators
- Hsiao Wei Lee - Drexel University, Mechanical Engineering and MechanicsLi Meng - Drexel University, Mechanical Engineering and MechanicsAlireza Ashkpour - Drexel University, Mechanical Engineering and MechanicsAmir Sadighi - Drexel UniversityMohammad Irfan Iqbal - Drexel University, Civil, Architectural, and Environmental EngineeringMohammad Pour-Ghaz - North Carolina State UniversityMija H. Hubler - University of Colorado BoulderChristopher Sales - Drexel University, C. and J. Nyheim Plasma InstituteYaghoob “Amir” Farnam - Drexel University, Civil, Architectural, and Environmental EngineeringAhmad Raeisi Najafi (Corresponding Author) - Drexel University, Mechanical Engineering and Mechanics
- Publication Details
- Journal of Building Engineering, v 102, 111838
- Publisher
- Elsevier
- Number of pages
- 27
- Grant note
- Drexel University, United StatesUniversity of Colorado Boulder, United StatesDARPA, United States: D23AC00043-00 U.S. Government
The authors acknowledge support from Drexel University, United States and the University of Colorado Boulder, United States. The work was also supported by DARPA, United States (Award Instrument Number: D23AC00043-00) and was performed at Drexel University in the Multiscale Computational Mechanics and Biomechanics (MCMB) Lab. Special thanks to Dr. Matthew Pava, Dr. Jayan Rammohan from the DARPA/Biological Technologies Office, and Dr. Claretta Sullivan from Air Force Research Laboratories. All simulations were performed on Picotte, Drexel University's main high-performance computing cluster, as well as on the clusters and PCs in the MCMB lab. This research was, in part, funded by the U.S. Government. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Government.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- C. and J. Nyheim Plasma Institute; Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:001418163700001
- Scopus ID
- 2-s2.0-85216568901
- Other Identifier
- 991022019918004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil