A5020699178- Structural Health Monitoring Techniques
- Geotechnical Engineering and Analysis
- Infrastructure Maintenance and Monitoring
- Probabilistic and Robust Engineering Design
- Landslides and related hazards
- Concrete Corrosion and Durability
- Dam Engineering and Safety
- Soil Geostatistics and Mapping
- Geotechnical Engineering and Underground Structures
- Railway Engineering and Dynamics
- Structural Behavior of Reinforced Concrete
- Geotechnical Engineering and Soil Stabilization
- Seismic Performance and Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Structural Engineering and Vibration Analysis
- Advanced Multi-Objective Optimization Algorithms
- Ultrasonics and Acoustic Wave Propagation
- Soil and Unsaturated Flow
- Geophysical Methods and Applications
- Geological Modeling and Analysis
- Image Processing and 3D Reconstruction
- Advanced Statistical Process Monitoring
- Soil, Finite Element Methods
- Gaussian Processes and Bayesian Inference
- BIM and Construction Integration
Tokyo City University
2014-2024
Tohoku University
2023
Ritsumeikan University
2016
City University of Hong Kong
2012
Health Sciences University of Hokkaido
1999-2007
TEPCO (Japan)
1995-2003
Kyoto University
2003
Japan Society of Civil Engineers
1994-1995
Japan Society
1994
Modeling only constitutes one aspect of decision making. The prevailing limitation applying modeling to practice is the absence explicit consideration uncertainties. This review paper covers uncertainty quantification (soil properties, stratification, and model performance) calculation with a focus on how it enhances role in making (reliability analysis, reliability-based design, inverse analysis). key output from reliability analysis probability failure, where "failure" defined as any...
This paper elucidates the challenges and opportunities inherent in integrating data-driven methodologies into geotechnics, drawing inspiration from success of materials informatics. Highlighting intricacies soil complexity, heterogeneity, lack comprehensive data, discussion underscores pressing need for community-driven database initiatives open science movements. By leveraging transformative power deep learning, particularly feature extraction high-dimensional data potential transfer we...
This study proposes a practical fragility estimation equation for Japanese standard models of railway embankments using the peak ground acceleration, velocity, and Arias intensity. The analytical were implemented as unreinforced geosynthetic-reinforced embankment models. A sensitivity analysis seismic was conducted on various heights, average values friction angles in backfill soil, tensile strengths primary reinforcement. Consequently, unique formula function presence different intensities...
Decision making in geotechnical engineering is always related to a project carried out at specific site. It natural for data-driven site characterization (DDSC) attract the most attention data-centric geotechnics. This paper proposed eight benchmark examples and benchmarking procedure support unbiased competitive evaluation of emerging ML methods. The primary goal DDSC bring value "data first" agenda practice, specifically produce 3D stratigraphic map subsurface volume below full-scale...
In the context of sampling, monitoring, and sensing in infrastructures, there is an interest algorithms to produce observation plan that cost effective, while maximizing benefits new observations. This paper proposes a method obtain optimal sampling terms number placement additional points based on value information (VoI). VoI can be computed easily through updating Gaussian random field, i.e., kriging, which probabilistic interpolation method. Particle swarm optimization introduced optimize...
A general formulation is presented based on the maximum likelihood method to identify best estimator of a stochastic Gaussian field when observation made at discrete spatial points. The uncertainty in terms and noise are discussed, updating estimator's mechanism by clarified. Two methodologies, that is, simple kriging an extended Kalman filtering procedure derived as special solutions formulation. developed here may be applied finite-element (FEM) system observation, where consists elastic...
The purpose of this study was to investigate the orthopedic effects combined maxillary protraction appliance (MPA) and chincap therapy on growing Japanese girls posttreatment changes after growth is complete. To estimate actual treatment changes, we used a series templates that had been constructed from semilongitudinal data with normal occlusion. During treatment, forward movement maxilla counterclockwise rotation, backward downward mandible clockwise rotation retardation were observed....
Data assimilation with a particle filter (PF) has attracted attention for use in Bayesian updating. However, PFs have problem known as degeneracy, where weights tend to concentrate into only few particles after iterations (all other degenerate), which causes poor computational performance. This study discusses the applicability of PF updating model parameters and probabilistic prediction updated proposes method that uses limit degeneracy. The proposed method, called iterative importance...
Several cephalometric studies and case reports have described the effects of treatment with a maxillary protraction appliance (MPA) chincap appliance. The purpose this investigation was to identify differences in response combined MPA skeletal Class III patients different vertical morphologies: short- (low mandibular plane angle) long- (high face types. cephalograms used study were 42 Japanese girls at beginning (T0, mean age 10.1 years) removal (T1, 11.5 years). subjects divided into two...
An automatic vehicle monitoring system can provide supports not only for intelligent transportation systems, but also bridge weigh-in-motion (BWIM) which use structural response to identify weights. In this paper, we a solution acceleration-based BWIM system, utilizing deep learning and wavelet transform methods. The task is divided into three subtasks, including valid sequence detection, axle location, driving lane identification. first procedure, shallow convolutional neural network...
The application of data science technologies in geotechnical and earthquake engineering is a hot topic. This study aimed to identify the macroscopic dynamic properties soil from previous records seismic motions observed at ground surface utilizing mode decomposition (DMD). key our ingenuity was replace layer composition with single-degree-of-freedom (SDOF) vibration model based on observation records. In validation process, first, comparison made between proposed method analytical solution...