Jiyoung Min
- Development of Bayesian regularized artificial neural network for airborne chlorides estimation. In: Construction and Building Materials, v. 383 (June 2023). (2023):
- Initial freeze–thaw damage detection in concrete using two-dimensional non-contact ultrasonic sensors. In: Construction and Building Materials, v. 364 (January 2023). (2023):
- Assessment of degradation index in freeze-thaw damaged concrete using multi-channel contactless ultrasound. In: Construction and Building Materials, v. 349 (September 2022). (2022):
- An electromechanical impedance-based method for tensile force estimation and damage diagnosis of post-tensioning systems. In: Smart Structures and Systems, v. 17, n. 1 (January 2016). (2016):
- Development of a low-cost multifunctional wireless impedance sensor node. In: Smart Structures and Systems, v. 6, n. 5-6 (July 2010). (2010):
- Electromechanical impedance-based long-term SHM for jacket-type tidal current power plant structure. In: Smart Structures and Systems, v. 15, n. 2 (February 2015). (2015):
- Recent R&D activities on structural health monitoring in Korea). In: Structural Monitoring and Maintenance, v. 3, n. 1 (March 2016). (2016):
- Predicting airborne chloride deposition in marine bridge structures using an artificial neural network model. In: Construction and Building Materials, v. 337 (June 2022). (2022):
- Effect of Concrete Compositions in Energy Transmission of Surface Waves for Nondestructive Crack Depth Evaluation. In: Journal of Materials in Civil Engineering (ASCE), v. 22, n. 7 (July 2010). (2010):
- Evaluation of physical characteristics and microscopic structure of mortar containing synthetic resin. In: Construction and Building Materials, v. 114 (July 2016). (2016):
- Development of synthetic resin-based mortar for low-activation and neutron shields. In: Construction and Building Materials, v. 124 (October 2016). (2016):
- Smart sensing, monitoring, and damage detection for civil infrastructures. In: KSCE Journal of Civil Engineering, v. 15, n. 1 (December 2010). (2010):
- Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity. In: Engineering Structures, v. 39 (June 2012). (2012):
- Impedance-based structural health monitoring using neural networks for autonomous frequency range selection. In: Smart Materials and Structures, v. 19, n. 12 (December 2010). (2010):
- Smart wireless sensing and assessment for civil infrastructure. In: Structure and Infrastructure Engineering, v. 10, n. 4 (March 2014). (2014):