Time Reverse Modeling of Damage Detection in Underwater Concrete Beams Using Piezoelectric Intelligent Modules
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Title
Time Reverse Modeling of Damage Detection in Underwater Concrete Beams Using Piezoelectric Intelligent Modules
Authors
Keywords
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Journal
SENSORS
Volume 20, Issue 24, Pages 7318
Publisher
MDPI AG
Online
2020-12-21
DOI
10.3390/s20247318
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Note: Only part of the references are listed.- A Novel Embeddable Tubular Piezoceramics-Based Smart Aggregate for Damage Detection in Two-Dimensional Concrete Structures
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- In-situ crack propagation monitoring in mortar embedded with cement-based piezoelectric ceramic sensors
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- An Overview of Underwater Time-Reversal Communication
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- Crack status analysis for concrete dams based on measured entropy
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- Time reverse modeling of acoustic emissions in a reinforced concrete beam
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- Numerical modeling of damage detection in concrete beams using piezoelectric patches
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- Crack detection and leakage monitoring on reinforced concrete pipe
- (2015) Qian Feng et al. Smart Materials and Structures
- Crack Depth Estimation in Concrete Using Energy Transmission of Surface Waves
- (2014) ACI MATERIALS JOURNAL
- Feasibility of water seepage monitoring in concrete with embedded smart aggregates by P-wave travel time measurement
- (2014) Dujian Zou et al. Smart Materials and Structures
- Experimental evaluation of crack effects on the dynamic characteristics of a prototype arch dam using ambient vibration tests
- (2013) Baris Sevim et al. Computers and Concrete
- Imaging of Compact Objects Buried in Underwater Sediments Using Electrical Impedance Tomography
- (2013) Gail Bouchette et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Structural identification of concrete arch dams by ambient vibration tests
- (2013) Baris Sevim et al. Advances in Concrete Construction
- Numerical and Experimental Study of Crack Depth Measurement in Concrete Using Diffuse Ultrasound
- (2012) Matthias Seher et al. JOURNAL OF NONDESTRUCTIVE EVALUATION
- Comprehensive evaluation methods for dam service status
- (2012) ZhongRu Wu et al. Science China-Technological Sciences
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