Thesis
Impact identification on concrete panels using a surface-bonded smart piezoelectric module (SPM) system
Washington State University
Master of Science (MS), Washington State University
12/2019
DOI:
https://doi.org/10.7273/000004136
Handle:
https://hdl.handle.net/2376/125302
Abstract
This study investigates the effectiveness of using a surface-bonded smart piezoelectric module (SPM) system to determine the impact location, impact force, and projectile properties (mass and velocity) of low-velocity impacts on concrete panels. Further, the study investigates the experimental relationship between the impact force/energy and the amplitude/energy of the propagating waves. The impact source localization algorithm was effective, with a maximum error of 6.4%, and numerical simulation was used to verify the experimental results. A drop weight test with varying masses and varying heights were conducted to determine the projectile properties at the impact point. A special SPM was introduced to determine the contact force at the impact location. The maximum force and contact duration values were in good agreement with Reed's contact model. A simplified formula was derived to obtain the mass of the projectile when the impact velocity is known, and to determine the impact velocity when the mass of the projectile is known, using an SPM located at the impact location. Finally, a relationship between the impact force/energy with the amplitude/energy from the distributed SPM system was established experimentally.
Metrics
Details
- Title
- Impact identification on concrete panels using a surface-bonded smart piezoelectric module (SPM) system
- Creators
- Ayumi Kalpana Manawadu - Washington State University, Civil and Environmental Engineering, Department of
- Contributors
- PIZHONG QIAO (Advisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Civil and Environmental Engineering, Department of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Identifiers
- 99900890781201842
- Language
- English
- Resource Type
- Thesis