Name SEKIYA Hidehiko
Official Title Associate Professor
Affiliation Department of Urban and Civil Engineering & Advanced Retrofit Technology International Center
Profile Hidehiko Sekiya is an associate professor in the department of Urban and Civil Engineering & Advanced Retrofit Technology International Center at Tokyo City University in Tokyo. He obtained his BEng and MEng from Tokyo Institute of Technology in Tokyo and Dr. Eng. from Tokyo City University. He started his research work in Tokyo Institute of Technology where he investigated the bending performance of HYBRID steel girder. After he obtained Master degree, he have been working in design department of the liquified natural gas for 2 years. His current research activities include structural health monitoring using variou lates sensing technology.
Research Field(Keyword & Summary)
  1. Structural Health Monitoring, Maintenance, Sensing, Steel Structures

    He is studying structural health monitoring using variou lates sensing technology. For example, in the maintenance of steel bridges, it is important to know the magnitude and the number of live loads. Therefore, he is studying Bridge Weigh-In-Motion using MEMS accelerometers. Furthermore, he is trying to identify the deformation of steel bridges using sensing technology. The identified deformation is useful for the maintenace of fatigue damage.

Representative Papers
  1. 1. Sekiya, H., O. Maruyama and C. Miki, “Identification of Cause of Displacement-Induced Fatigue in Steel Bridge Based on Displacement Measurements Using High-Performance Microelectromechanical Systems Sensor,” Sensors and Materials, February 2017, Vol.29, No.2, pp.117-pp.140.
  2. 2. Sekiya, H., O. Maruyama and C. Miki, “Visualization system for bridge deformations under live load based on multipoint simultaneous measurements of displacement and rotational response using MEMS sensors,” Engineering Structures, May 2017, Vol.146, No.1, pp.43-pp.53.
  3. 3. Sekiya, H., K. Kubota and C. Miki, “Simplified Portable Bridge Weigh-in-Motion System Using Accelerometers,” Bridge Engineering(ASCE), November 2017, Vol.23, No.1, pp.04017124.
  4. 4. Dung, C., H. Sekiya, S. Hirano, T. Okatani and C. Miki, “A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks,” Automation in Construction, June 2019, Vol.102, pp.217-pp.229.
  5. 5. Sekiya, H., “Field Verification over One Year of a Portable Bridge Weigh-in-Motion System for Steel Bridges,” Bridge Engineering(ASCE), July 2019, Vol.24, No.7, pp.04019063.
  6. 6. Luo, L., H. Sekiya and K. Soga, “Dynamic Distributed Fiber Optic Strain Sensing on Movement Detection,” IEEE Sensors Journal, July 2019, Vol.19, No.14, pp.5639-pp.5644.
  7. 7. Mustafa, S., H. Sekiya, M. Hayama and C. Miki, “Effects of Redecking from RC Deck to Orthotropic Steel Deck on Seismic Resistance of Elevated Girder Bridges,” International Journal of Steel Structures, June 2020, Vol.20, pp.1393-pp.1404.
  8. 8. Hayama, M., H. Sekiya and S. Hirano, “Visualization of deformation of trough rib of orthotropic steel deck under live load using MEMS IMUs and contact displacement gauges,” Bridge Engineering (ASCE), July 2020, Vol.25, No.10, pp.04020073.
Award Excellent Award, Infrastructure Technology Development Award, 2020.
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS)
Recruitment of research assistant(s) Yes (2 people)
Affiliated academic society (Membership type) JSCE member
Education Field (Undergraduate level) Structural mechanics, RC structure, Maintenance Engineering
Education Field (Graduate level) Maintenance Engineering