Changgil Lee 
- (2024): Validating Railway Infrastructure Deformation Monitoring: A Comparative Analysis of Field Data and TerraSAR-X PS-InSAR Results. In: KSCE Journal of Civil Engineering, v. 28, n. 5 (Februar 2024).
- (2024): Thermal stress estimation of a constrained metallic plate using symmetric and antisymmetric Lamb wave group velocities. In: Smart Materials and Structures, v. 33, n. 5 (5 April 2024).
- (2015): Damage visualization of pipeline structures using laser-induced ultrasonic waves. In: Structural Health Monitoring, v. 14, n. 5 (März 2015).
- (2020): Bolt looseness detection based on ultrasonic wavefield energy analysis using an Nd:YAG pulsed laser scanning system. In: Structural Control and Health Monitoring, v. 27, n. 9 (Juni 2020).
- (2018): Monitoring the hardening process of ultra high performance concrete using decomposed modes of guided waves. In: Construction and Building Materials, v. 163 (Februar 2018).
- (2014): Concrete Strength Development Monitoring Technique for Automatic Construction Management of Nuclear Power plants. Vorgetragen bei: IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014.
- (2013): Real-time strength development monitoring for concrete structures using wired and wireless electro-mechanical impedance techniques. In: KSCE Journal of Civil Engineering, v. 17, n. 6 (August 2013).
- (2017): Nondestructive Concrete Strength Estimation based on Electro-Mechanical Impedance with Artificial Neural Network. In: Journal of Advanced Concrete Technology, v. 15, n. 3 ( 2017).
- (2012): Development of piezoelectric energy harvesting modules for impedance-based wireless structural health monitoring system. In: KSCE Journal of Civil Engineering, v. 17, n. 4 (Dezember 2012).
- (2012): De-Bonding Detection on a CFRP Laminated Concrete Beam Using Self Sensing-Based Multi-Scale Actuated Sensing with Statistical Pattern Recognition. In: Advances in Structural Engineering, v. 15, n. 6 (Juni 2012).
- (2012): Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity. In: Engineering Structures, v. 39 (Juni 2012).
- (2011): Damage classification of pipelines under water flow operation using multi-mode actuated sensing technology. In: Smart Materials and Structures, v. 20, n. 11 (November 2011).
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