Mayuko Nishio

University of Tsukuba — Japan

Engineering · Physical Sciences

15h-index670citations117works1.82yr avg
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Research Topics

Structural Health Monitoring Techniques(53), Infrastructure Maintenance and Monitoring(34), Structural Engineering and Vibration Analysis(17), Seismic Performance and Analysis(14), Optical measurement and interference techniques(13)

Publications117 total

Energy-based fragility assessment of reinforced concrete bridges considering cumulative seismic demand under mainshock-aftershock sequences
Bulletin of Earthquake Engineering·2025
Structural anomaly detection and nonlinearity assessment by integrating phase angle and video-based analysis via a shaking table test
Journal of Sound and Vibration·2025Open Access
ExSRNet: Explainable deep learning model for seismic response prediction with frequency attention mechanism
Engineering Structures·2025· 1 citedOpen Access
Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges
Sensors·2025Open Access
Uncertainty quantification using digital-image-correlation data for load-carrying capacity analysis of structural members with local damages
Structures·2025Open Access
Optimal intensity measure-based seismic fragility surfaces for curved bridges considering their sensitivity to seismic excitation direction
Earthquake Engineering and Engineering Vibration·2025· 3 citedOpen Access
Advancing Parametric Physics-Informed Neural Networks Efficient Learning Strategies for Solid Mechanics
SSRN Electronic Journal·2025Open Access
Seismic Energy Distribution in Multi-span Reinforced Concrete Bridges
Report·2025
Construction of Shell Element FE Models of Steel Girder Bridge from Point Clouds for Efficient Structural Dynamic Analysis
Lecture notes in civil engineering·2025
Optical Flow‐Based Structural Anomaly Detection in Seismic Events From Video Data Combined With Computational Cost Reduction Through Deep Learning
Structural Control and Health Monitoring·2025· 3 citedOpen Access
Real-Time Simulation and Data Assimilation of Time-History Dynamic Structural Responses Using Physics-Informed Neural Networks and AR Visualization
Lecture notes in civil engineering·2025
Seismic energy dissipation and system fragility analysis of continuous reinforced concrete highway bridges
2025Open Access
Seismic Fragility Assessment using Explainable Deep Kernel Learning Surrogate Model considering Structural and Seismic Uncertainties
Report·2025
Recognition of Vehicle Statistics of Random Traffic Flow by Deep- Learning for Live-load Performance Evaluation of Existing Bridges
Report·2025
Flight Path Optimization for UAV Bridge Inspection Considering Required Functions of Structural Members by Viewpoint Importance and Verification with 3D Model in Virtual Space
Lecture notes in civil engineering·2025
Shell Model Reconstruction from Point Clouds for Efficient Analysis of Steel Bridges
Report·2025
Mainshock–aftershock seismic fragility assessment of civil structures: A state‐of‐the‐art review
Earthquake Engineering and Resilience·2024· 6 citedOpen Access
System fragility analysis of highway bridge using multi-output Gaussian process regression surrogate model
Advances in Structural Engineering·2024· 8 citedOpen Access
Correlation analysis of InSAR displacement data and inspection data towards multiple bridge monitoring in transportation network
e-Journal of Nondestructive Testing·2024Open Access
Corrigendum to “Anomaly detection in structural dynamic systems via nonlinearity occurrence analysis using video data” [Mech. Syst. Signal Process 216 (2024) 111506]
Mechanical Systems and Signal Processing·2024
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Frequent Co-authors

Hiroshi Katsuchi(9), Hitoshi Yamada(8), Md. Naimul Haque(6), Tadahito Mizutani(4), Taisei Saida(4), Muhammad Rashid(4), N. Takeda(3), Pang‐jo Chun(3), Yozo Fujino(3), Muhammad Rashid(3), Nobuo Takeda(3), Hien Van Le(2), Tomonori Nagayama(2), Xianfeng Li(2), Kentaro Sugawara(2), S. Iwanaga(2), Hoai Ho(2), Kaiwan Wattana(2), T. Jothi Saravanan(2), François Hemez(2)