A5047960213- Probabilistic and Robust Engineering Design
- Structural Health Monitoring Techniques
- Advanced Multi-Objective Optimization Algorithms
- Fatigue and fracture mechanics
- ZnO doping and properties
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Organic Light-Emitting Diodes Research
- Organic Electronics and Photovoltaics
- Reliability and Maintenance Optimization
- Non-Destructive Testing Techniques
- Ga2O3 and related materials
- Numerical methods in engineering
- Optimal Experimental Design Methods
- Mechanical stress and fatigue analysis
- Risk and Safety Analysis
- Gas Sensing Nanomaterials and Sensors
- Topology Optimization in Engineering
- Mechanical Behavior of Composites
- Conducting polymers and applications
- Gear and Bearing Dynamics Analysis
- Ultrasonics and Acoustic Wave Propagation
- Infrastructure Maintenance and Monitoring
- Combustion and Detonation Processes
- Wind and Air Flow Studies
University of Florida
2016-2025
Honam University
2017-2024
Sepuluh Nopember Institute of Technology
2023
Autodesk (United States)
2023
Korea Polytechnic University
2020-2022
Korea University of Technology and Education
2007-2022
Michigan Technological University
2020
Korea Institute of Industrial Technology
2016-2018
Korea Aerospace University
2018
Korea Automotive Technology Institute
2018
Multifidelity surrogates are essential in cases where it is not affordable to have more than a few high-fidelity samples, but as many low-fidelity samples needed. In these cases, given good correlation between the models, performance of multifidelity models can be outstanding. The first objective this paper discuss progress creating accurate when they essential. A ambiguous situation exists may possible afford enough construct an surrogate model. that case, question whether will substantial...
Multifidelity surrogates (MFS) combine low-fidelity models with few high-fidelity samples to infer the response of model for design optimization or uncertainty quantification. Most publications in MFS focus on Bayesian frameworks based Gaussian process. Other types might be preferred some applications. In this paper, a simple and yet powerful single linear regression is proposed, termed as multifidelity surrogate (LR-MFS), especially fitting data noise. The LR-MFS considers basis function...
Multi-cell structures have been widely utilized in energy-absorbing applications for their lightweight and superior mechanical properties. However, they may produce high peak forces that are harmful to occupant safety during a vehicle collision. In addition, the naturally formed folding global bending modes under axial loads can significantly restrict capability. this study, novel origami multi-cell structure is proposed avoid excessive at same time guide deformation mode improve Four...
Although structural health monitoring (SHM) technologies using sensors have dramatically been developed recently, their capability should be evaluated from the perspective of maintenance industry. As a first step toward utilizing sensors, objective paper is to investigate possibility for inspecting entire fuselage during C-check. First, we reviewed various detection range, detectable damage size, and installed weight, which revealed that piezoelectric wafer active sensor (PWAS) most...
Falls are a serious medical and social problem among the elderly. This has led to development of automatic fall-detection systems. To detect falls, algorithm that combines simple threshold method hidden Markov model (HMM) using 3-axis acceleration is proposed. apply proposed wearable device been designed produced. Several fall-feature parameters introduced applied method. Possible falls chosen through two types HMM distinguish between fall an activity daily living (ADL). The results...
Extensive prior studies aimed at the development of diagnostic methods for planetary gearboxes have mainly examined acceleration and acoustic emission signals. Recently, due to relationship between gear mesh stiffness transmission error (TE), TE-based techniques emerged as a promising way analyze dynamic behavior spur helical gears. However, date, TE has not been used measure detect faults in In this paper, we propose new methodology model-based fault diagnostics gears using A lumped...
Autoencoder reconstruction-based unsupervised anomaly detection is widely used in structural health monitoring. However, these methods typically require training on historical data from healthy structures, collected under environmental conditions similar to the test data. This limits their practical use, as it demands a comprehensive dataset of guided waves gathered across various and operational conditions. Additionally, fail when contain significant portion damage-induced waves,...