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