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Tomonori Nagayama

Tomonori Nagayama

D-Index & Metrics

Engineering and Technology

D-Index
30
Citations
3082
World Ranking
9790
National Ranking
232

Overview

Tomonori Nagayama is affiliated with the University of Tokyo in Japan and has a research focus predominantly in the field of engineering, with extensive work in civil and structural engineering, mechanical engineering, control and systems engineering, automotive engineering, and geophysics.

Their research encompasses several main topics including:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Railway Engineering and Dynamics
  • Structural Engineering and Vibration Analysis
  • Seismic Performance and Analysis
  • Concrete Corrosion and Durability
  • Vibration and Dynamic Analysis

Nagayama has contributed to various frequent publication venues, highlighting a broad engagement with both specialized and interdisciplinary audiences. These venues include:

  • Report
  • Engineering Structures
  • Japanese Journal of JSCE
  • Structural Control and Health Monitoring
  • Mechanical Systems and Signal Processing

Notable recent papers authored by Nagayama or their collaborators cover a range of topics, showing application of engineering principles and advanced analytical techniques such as machine learning and signal processing. These publications are:

  • "Road profile estimation and half-car model identification through the automated processing of smartphone data" (2020) published in Mechanical Systems and Signal Processing
  • "Mapping Subsurface Utility Pipes by 3-D Convolutional Neural Network and Kirchhoff Migration Using GPR Images" (2020) published in IEEE Transactions on Geoscience and Remote Sensing
  • "The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem" (2021) published in Structural Health Monitoring
  • "Structure system estimation under seismic excitation with an adaptive extended kalman filter" (2020) published in Journal of Sound and Vibration
  • "Static and dynamic vehicle load identification with lane detection from measured bridge acceleration and inclination responses" (2021) published in Structural Control and Health Monitoring

The scientist's collaborations include frequent work with colleagues Di Su, Yaohua Yang, Kai Xue, Masaru Kitahara, and Boyu Zhao, indicating an active network in their research community.

Tomonori Nagayama has also contributed to academic literature through book publication, notably with Springer Nature. The work titled "Experimental Vibration Analysis for Civil Engineering Structures" was published in 2022 and has been cited in the field.

Best Publications

  • Flexible smart sensor framework for autonomous structural health monitoring

    Jennifer A. Rice;Kirill Mechitov;Sung Han Sim;Tomonori Nagayama

  • Structural Health Monitoring Using Smart Sensors

    T. Nagayama;Jr F. Spencer;Y. Fujino

  • Smart Wireless Sensor Technology for Structural Health Monitoring of Civil Structures

    Cho, Soojin;Chung Bang Yun;Jerome P. Lynch;Andrew T. Zimmerman

  • Issues in structural health monitoring employing smart sensors

    T. Nagayama;S.H. Sim;Y. Miyamori;B.F. Spencer

  • Research and Implementations of Structural Monitoring for Bridges and Buildings in Japan

    Yozo Fujino;Dionysius M. Siringoringo;Yoshiki Ikeda;Tomonori Nagayama

  • Structural identification of a nonproportionally damped system and its application to a full-scale suspension bridge

    Tomonori Nagayama;Masato Abe;Yozo Fujino;Kenji Ikeda

  • Bridge natural frequency estimation by extracting the common vibration component from the responses of two vehicles

    T. Nagayama;A.P. Reksowardojo;D. Su;T. Mizutani

  • Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification

    Hongki Jo;Sung Han Sim;Tomonori Nagayama;B. F. Spencer

  • Reliable multi-hop communication for structural health monitoring

    Tomonori Nagayama;Parya Moinzadeh;Kirill Mechitov;Mitsushi Ushita

  • Extraction of bridge fundamental frequency from estimated vehicle excitation through a particle filter approach

    Haoqi Wang;Tomonori Nagayama;Junki Nakasuka;Boyu Zhao

  • Autonomous decentralized structural health monitoring using smart sensors

    T. Nagayama;B. F. Spencer;Jennifer A. Rice

  • Mapping Subsurface Utility Pipes by 3-D Convolutional Neural Network and Kirchhoff Migration Using GPR Images

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  • Road profile estimation, and its numerical and experimental validation, by smartphone measurement of the dynamic responses of an ordinary vehicle

    Boyu Zhao;Tomonori Nagayama;Kai Xue

  • Multimetric Sensing for Structural Damage Detection

    S H Sim;S H Sim;B F Spencer Jr;B F Spencer Jr;Tomonori Nagayama;Tomonori Nagayama

  • Road profile estimation and half-car model identification through the automated processing of smartphone data

    Kai Xue;Tomonori Nagayama;Boyu Zhao

  • SENSOR DEVELOPMENT USING BERKELEY MOTE PLATFORM

    Manuel Ruiz-Sandoval;Tomonori Nagayama;B. F. Spencer

  • Decentralized damage identification using wavelet signal analysis embedded on wireless smart sensors

    Gun Jin Yun;Soon-Gie Lee;Joan Carletta;Tomonori Nagayama

  • Identification of moving vehicle parameters using bridge responses and estimated bridge pavement roughness

    Haoqi Wang;Tomonori Nagayama;Boyu Zhao;Di Su

  • The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem:

    Yuequan Bao;Jian Li;Tomonori Nagayama;Yang Xu

  • Hybrid wireless smart sensor network for full-scale structural health monitoring of a cable-stayed bridge

    Hongki Jo;Sung Han Sim;Kirill A. Mechitov;Robin Kim

  • Middleware services for structural health monitoring using smart sensors

    T. Nagayama;B.F. Spencer;K.A. Mechitov;G.A. Agha

  • Estimation of dynamic tire force by measurement of vehicle body responses with numerical and experimental validation

    Haoqi Wang;Tomonori Nagayama;Di Su

Frequent Co-Authors

Yozo Fujino
Yozo Fujino Yokohama National University
Billie F. Spencer
Billie F. Spencer University of Illinois at Urbana-Champaign
Chung Bang Yun
Chung Bang Yun Korea Advanced Institute of Science and Technology
Hyung-Jo Jung
Hyung-Jo Jung Korea Advanced Institute of Science and Technology
Gul Agha
Gul Agha University of Illinois at Urbana-Champaign
Gun Jin Yun
Gun Jin Yun Seoul National University
Chenyang Lu
Chenyang Lu Washington University in St. Louis
Hoon Sohn
Hoon Sohn Korea Advanced Institute of Science and Technology
Jerome P. Lynch
Jerome P. Lynch University of Michigan–Ann Arbor
Hiroshi Matsuda
Hiroshi Matsuda Tokyo University of Agriculture and Technology

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