Kitahara, M., Kitahara, T.
Sequential and adaptive probabilistic integration for Bayesian model updating
Mechanical Systems and Signal Processing, 223, 111825, 2025. https://doi.org/10.1016/j.ymssp.2024.111825
Kitahara, M., Masuda, D., Xue, K., Nagayama, T., Su, D., Tanaka, H.
Track Geometry Estimation and Hanging Sleeper Detection Using Vehicle Dynamic Responses with Unknown System Parameters
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10(3), 04024044, 2024.. https://doi.org/10.1061/AJRUA6.RUENG-1259
Robert Jirasek, Thomas Schauer, Di Su, Tomonori Nagayama, Achim Bleicher
Experimental linear parameter-varying model identification of an elastic kinetic roof structure
Engineering Structures, 297, 2023. https://doi.org/10.1016/j.engstruct.2023.116986
Youqi Zhang, Zhenkun Li, Rui Hao, Weiwei Lin, Lingfang Li, Di Su
High-fidelity time-series data synthesis based on finite element simulation and data space mapping, Mechanical Systems and Signal Processing, 200, 110630, 2023. https://doi.org/10.1016/j.ymssp.2023.110630
Zhen Sun, De-Cheng Feng, Sujith Mangalathu, Wen-Jie Wang, Di Su
Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques, ASCE Journal of Performance of Constructed Facilities, 36(5), 04022036, 2022. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001746
Kitahara, M., Kakiuchi, Y., Yang, Y., Nagayama, T.
Adaptive Bayesian filter with data-driven sparse state space model for seismic response estimation
Mechanical Systems and Signal Processing, 208, 111048, 2024.
Kitahara, M., Dang, C., Beer, M.
Bayesian updating with two-step parallel Bayesian optimization and quadrature
Computer Methods in Applied Mechanics and Engineering, 403, 115735, 2023. https://doi.org/10.1016/j.cma.2022.115735
H Wang, T Nagayama.
Response spectrum model of vehicle dynamic load for the prediction of bridge vibration level due to single vehicle-passage
Engineering Structures, 260, 2022. https://doi.org/10.1016/j.engstruct.2022.114180
Yang, Y., Nagayama, T., Xue, K., Su, D.
Displacement Estimation of a Nonlinear SDOF System under Seismic Excitation Using an Adaptive Kalman Filter. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(1), 04021084. https://doi.org/10.1061/AJRUA6.0001213
Wang, H, Nagayama, T, Su, D.
Static and dynamic vehicle load identification with lane detection from measured bridge acceleration and inclination responses. Struct Control Health Monit. 2021; 28( 11):e2823. https://doi.org/10.1002/stc.2823
Bao Y, Li J, Nagayama T, Xu Y, Spencer BF, Li H.
The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem. Structural Health Monitoring. April 2021. https://doi.org/10.1177/14759217211006485
Yang, Y., Nagayama, T.
Structural system identification under seismic excitation via Markov chain Monte Carlo method.
AI・データサイエンス論文集, 2(2), 34–45. 2021. https://doi.org/10.11532/jsceiii.2.2_34
Yang, Y., Nagayama, T., Xue, K.
Structure system estimation under seismic excitation with an adaptive extended Kalman filter Journal of Sound and Vibration, 2020 https://doi.org/10.1016/j.jsv.2020.115690
Yamaguchi, T., Mizutani, T., Nagayama, T.
Mapping subsurface utility pipes by 3-D convolutional neural network and Kirchhoff migration using GPR images
IEEE Transactions on Geoscience and Remote Sensing https://doi.org/10.1109/TGRS.2020.3030079
Yang, Y., NAGAYAMA, T., SU, D.
Displacement estimation of nonlinear SDOF system under seismic excitation using Kalman filter for state-parameter estimation Intelligence, Informatics and Infrastructure, 1(1) pp.1-10, 2020 https://doi.org/10.11532/jsceiii.1.1_1
Xue, K., Nagayama, T., Zhao, B.
Road profile estimation and half-car model identification through the automated processing of smartphone data, Mech. Syst. Signal Process. 142, 2020. https://doi.org/10.1016/j.ymssp.2020.106722
Wang, H., Nagayama, T., and Su, D.
Estimation of dynamic tire force by measurement of vehicle body responses with numerical and experimental validation Mechanical Systems and Signal Processing, 123, pp.369-385. 2019. https://doi.org/10.1016/j.ymssp.2019.01.017
Rana, S., Nagayama, T., Hisazumi, K., Tominaga, T.
Damage identification of a belt conveyor support structure based on cross‐sectional vibration characteristics Structural Control and Health Monitoring, 2019. e2349. https://doi.org/10.1002/stc.2349
Wang, H., Chen, J., Nagayama, T.
Parameter identification of spring-mass-damper model for bouncing people Journal of Sound and Vibration, pp.13-29, 2019. https://doi.org/10.1016/j.jsv.2019.05.034
Zhao, B., Nagayama, T., Xue, K.
Road profile estimation, and its numerical and experimental validation, by smartphone measurement of the dynamic responses of an ordinary vehicle Journal of Sound and Vibration, 2019. https://doi.org/10.1016/j.jsv.2019.05.015
Fujino, Y., Siringoringo, D.M., Ikeda, Y., Nagayama, T., Mizutani, T.
Research and implementations of structural monitoring for bridges and buildings in Japan—a review Engineering, 2019. https://doi.org/10.1016/j.eng.2019.09.006
Wang, H., Nagayama, T.
Two-step method for bridge modal mass identification using synchronously measured bridge and vehicle dynamic responses International Journal of Lifecycle Performance Engineering, Vol.3 No.3/4, pp.233 - 256, 2019. https://dx.doi.org/10.1504/IJLCPE.2019.103692
Kuleli M, Nagayama T.
A robust structural parameter estimation method using seismic response measurements Struct Control Health Monit, 2019;e2475. https://doi.org/10.1002/stc.2475
Wang, H., Nagayama, T., Nakasuka, J., Zhao, B., and Su, D.
Extraction of bridge fundamental frequency from estimated vehicle excitation through a particle filter approach Journal of Sound and Vibration, 428, pp.44–58. 2018. https://doi.org/10.1016/j.jsv.2018.04.030
Takeda, T., Mizutani, T., Nagayama, T., and Fujino, Y.
Reproduction of Cable-Stayed Bridge Seismic Responses Involving Tower–Girder Pounding and Damage Process Estimation for Large Earthquakes
Journal of Bridge Engineering, 24 (2), 2018, https://doi.org/10.1061/(ASCE)BE.1943-5592.0001336
Sun, Z., Nagayama,T., Nishio,M., and Fujino,Y.
Investigation on a curvature‐based damage detection method using displacement under moving vehicle Structural Control and Health Monitoring, 2017, e2044. https://doi.org/10.1002/stc.2044
Nagayama, T, and Zhang C.
A numerical study on bridge deflection estimation using multi-channel acceleration measurement
構造工学論文集A 63, pp. 209-215, 2017. 土木学会構造工学論文集(2017.3) (jst.go.jp)
Nagayama, T., Reksowardojo, A.P., Su, D., and Mizutani, T.
Bridge natural frequency estimation by extracting the common vibration component from the responses of two vehicles Engineering Structures, 150, pp. 821-829, 2017. https://doi.org/10.1016/j.engstruct.2017.07.040
Wang, H., Nagayama, T., Zhao, B.Y., and Su, D.
Identification of moving vehicle parameters using bridge responses and estimated bridge pavement roughness Engineering Structures, 153, pp.57-70, 2017. https://doi.org/10.1016/j.engstruct.2017.10.006
Zhao, B.Y., and Nagayama,T.
IRI Estimation by the Frequency Domain Analysis of Vehicle Dynamic Responses Procedia Engineering 188, pp.9-16, 2017. https://doi.org/10.1016/j.proeng.2017.04.451
Wang,H., Nagayama,T., and Su,D.
Vehicle Parameter Identification through Particle Filter using Bridge Responses and Estimated Profile Procedia Engineering 188, pp.64-71, 2017. https://doi.org/10.1016/j.proeng.2017.04.458
Haoqi Wang, Tomonori Nagayama, and Di Su
Identification of moving vehicle parameters by bridge response data analysis through a particle filter from estimated profile
Procedia Engineering, 188, pp. 64-71, 2016. https://www.sciencedirect.com/science/article/pii/S0141029617307289
Sun, Z., Nagayama,T., and Fujino,Y.
A Damage Detection Algorithm Utilizing Dynamic Displacement of Bridge under Moving Vehicle Shock and Vibration 2016, 2016. https://doi.org/10.1155/2016/8454567
Kim, RE., Li, J., Spencer, Jr., B. F., Nagayama, and T., Mechitov, K.
Synchronized sensing for wireless monitoring of large structures SMART STRUCTURES AND SYSTEMS 18 (5), pp.885-909, 2016. https://koreascience.kr/article/JAKO201634347320668.page
Honarbakhsh, A., Nagayama, T., Rana, S., Tominaga, T. Hisazumi, K., and Kanno, R.
Damage identification of belt conveyor support structure using periodic and isolated local vibration modes Smart Structures and Systems, 15(3), pp.787-806, 2015. https://koreascience.kr/article/JAKO201510534324231.page
Sung, S., Park, J., Nagayama, T., and Jung ,HJ.
A multi-scale sensing and diagnosis system combining accelerometers and gyroscopes for bridge health monitoring Smart Materials and Structures 23 (1), 015005, 2014. https://iopscience.iop.org/article/10.1088/0964-1726/23/1/015005/pdf
Zou, Z., Nagayama, T., and Fujino, Y.
Efficient multi-hop communication for static wireless sensor networks in the application to civil infrastructure monitoring Structural Control and Health Monitoring 21 (4), pp.603-619,2014. https://onlinelibrary.wiley.com/doi/full/10.1002/stc.1588
Dinh, H.M., Nagayama, T., and Fujino, Y.
Structural parameter identification by use of additional known masses and its experimental application Structural Control and Health Monitoring, 19(3), pp.436-450, 2012. https://onlinelibrary.wiley.com/doi/full/10.1002/stc.444
Jo, H., Sim, S.-H., Nagayama, T., and Spencer, Jr., B. F.
Development and application of high sensitivity wireless smart sensors for decentralized stochastic modal identification Journal of Engineering Mechanics, 138(6), pp.683–694, 2012. https://ascelibrary.org/doi/full/10.1061/%28ASCE%29EM.1943-7889.0000352
Nagayama, T., Moinzadeh, P., Mechitov, K., Ushita, M., Makihata, N., Ieiri, M., Agha, G., Spencer, Jr., B. F., Fujino, Y., and Seo, J.-W.
Reliable multi-hop communication for structural health monitoring Smart Structures and Systems, Int'l Journal Vol. 6 No. 5, pp.481-504, 2010. http://sstl.cee.illinois.edu/papers/Nagayama2010SSS.pdf
Rice, J., Mechitov, K., Sim, S.-H., Nagayama, T., Jang, S., Kim, R., Spencer, Jr., B. F., Agha, G., and Fujino, Y.
Flexible smart sensor framework for autonomous structural health monitoring Smart Structures and Systems, Int'l Journal Vol. 6 No. 5, 2010. http://dx.doi.org/10.12989/sss.2010.6.5_6.423
Nagayama, T., Spencer, Jr., B. F., and Rice, J. A.
Autonomous decentralized structural health monitoring using smart sensors Structural Control and Health Monitoring, 16, pp.842-859, 2009. https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.352
Su, D., Fujino, Y., Nagayama, T., Hernandez, J., and Seki, M.
Vibration of reinforced concrete viaducts under high-speed train passage: measurement and prediction including train-viaduct interaction. Structure and Infrastructure Engineering: Maintenance, Management, Life-Cycle Design and Performance, 1744-8980, 2009. https://doi.org/10.1080/15732470903068888
Cho, S., Yun, C. B., Lynch, J. P., Zimmerman, A.T., Spencer, Jr., B.F., and Nagayama, T.
Smart wireless sensor technology for structural health monitoring of civil structures International Journal of Steel Structures, 8(3), pp.267-275, 2008. https://www.kssc.or.kr/wonmun/KSSC_3_2008_8_4_267(C).pdf
Yongjiu Shi, Di Su, and Yuanqing Wang
Study on restoring force models of steel beam-column connections with composite action
World Earthquake Engineering, 24(2), pp.15–20, 2008 (in Chinese). https://en.cnki.com.cn/Article_en/CJFDTOTAL-SJDC200802002.htm
