Thanh‐Canh Huynh
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View article: From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning
From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning Open
This study introduces an innovative machine learning method to model the spatial variation of land surface temperature (LST) with a focus on the urban center of Da Nang, Vietnam. Light Gradient Boosting Machine (LightGBM), support vector m…
View article: A Proof-of-Concept Study of Stability Monitoring of Implant Structure by Deep Learning of Local Vibrational Characteristics
A Proof-of-Concept Study of Stability Monitoring of Implant Structure by Deep Learning of Local Vibrational Characteristics Open
This study develops a structural stability monitoring method for an implant structure (i.e., a single-tooth dental implant) through deep learning of local vibrational modes. Firstly, the local vibrations of the implant structure are identi…
View article: Structural Condition Assessment of Steel Anchorage Using Convolutional Neural Networks and Admittance Response
Structural Condition Assessment of Steel Anchorage Using Convolutional Neural Networks and Admittance Response Open
Structural damage in the steel bridge anchorage, if not diagnosed early, could pose a severe risk of structural collapse. Previous studies have mainly focused on diagnosing prestress loss as a specific type of damage. This study is among t…
View article: Smart Aggregate‐Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals
Smart Aggregate‐Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals Open
A 1‐dimensional convolutional neural network (1D CNN) model is developed to process deep learning of raw impedance signals for smart aggregate (SA)‐based concrete stress monitoring. First, the framework of the SA‐based stress monitoring us…
View article: Identification of Simulated Damage in Prestressed Anchorage Using Admittance-Based Active Sensing Technique
Identification of Simulated Damage in Prestressed Anchorage Using Admittance-Based Active Sensing Technique Open
This study examined the feasibility of the admittance-based method for detecting simulated damage in the bearing plate of a prestressed anchorage. The proposed method utilized the PZT (lead zirconate titanate) interface technique to acquir…
View article: Crack Detection in Bearing Plate of Prestressed Anchorage Using Electromechanical Impedance Technique: A Numerical Investigation
Crack Detection in Bearing Plate of Prestressed Anchorage Using Electromechanical Impedance Technique: A Numerical Investigation Open
The bearing plate is an important part of a tendon–anchorage subsystem; however, its function and safety can be compromised by factors such as fatigue and corrosion. This paper explores the feasibility of the electromechanical impedance (E…
View article: A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning
A method for automated bolt-loosening monitoring and assessment using impedance technique and deep learning Open
Traditional impedance-based bolt-looseness monitoring approaches using hand-crafted impedance features can lead to difficulties in quantitative damage severity estimation. In this study, a novel method for bolt-looseness assessment with au…
View article: Fault Assessment in Piezoelectric-Based Smart Strand Using 1D Convolutional Neural Network
Fault Assessment in Piezoelectric-Based Smart Strand Using 1D Convolutional Neural Network Open
The smart strand technique has been recently developed as a cost-effective prestress load monitoring solution for post-tensioned engineering systems. Nonetheless, during its lifetime under various operational and environmental conditions, …
View article: Electromechanical impedance-based prestress force prediction method using resonant frequency shifts and finite element modelling
Electromechanical impedance-based prestress force prediction method using resonant frequency shifts and finite element modelling Open
View article: Piezoelectric Impedance-Based Structural Health Monitoring of Wind Turbine Structures: Current Status and Future Perspectives
Piezoelectric Impedance-Based Structural Health Monitoring of Wind Turbine Structures: Current Status and Future Perspectives Open
As an innovative technology, the impedance-based technique has been extensively studied for the structural health monitoring (SHM) of various civil structures. The technique’s advantages include cost-effectiveness, ease of implementation o…
View article: Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data
Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data Open
The performance of a neural network depends on the availability of datasets, and most deep learning techniques lack accuracy and generalization when they are trained using limited datasets. Using synthesized training data is one of the eff…
View article: Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method
Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method Open
This paper presents an improvement to the modal strain energy (MSE) method for identifying structural damages in plate‐type structures. A two‐step MSE‐based damage localization procedure, including a global step and a local step, is newly …
View article: Prediction of Pile Bearing Capacity Using Opposition‐Based Differential Flower Pollination‐Optimized Least Squares Support Vector Regression (ODFP‐LSSVR)
Prediction of Pile Bearing Capacity Using Opposition‐Based Differential Flower Pollination‐Optimized Least Squares Support Vector Regression (ODFP‐LSSVR) Open
Pile foundations are widely used for high‐rise structures constructed in soft ground. The bearing capacity of pile is a crucial parameter required during the design and construction phase of pile foundation engineering projects. In practic…
View article: A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning Open
During the phase of periodic survey, sealed crack and crack in asphalt pavement surface should be detected accurately. Moreover, the capability of identifying these two defects can help reduce the false‐positive rate for pavement crack det…
View article: Numerical Simulation of Single-Point Mount PZT-Interface for Admittance-Based Anchor Force Monitoring
Numerical Simulation of Single-Point Mount PZT-Interface for Admittance-Based Anchor Force Monitoring Open
This study investigates the dynamic characteristics of a smart PZT interface mounted on a prestressed anchorage to verify the numerical feasibility of the admittance-based anchor force monitoring technique. Firstly, the admittance-based an…
View article: A Low-Cost Prestress Monitoring Method for Post-Tensioned RC Beam Using Piezoelectric-Based Smart Strand
A Low-Cost Prestress Monitoring Method for Post-Tensioned RC Beam Using Piezoelectric-Based Smart Strand Open
This study proposes a cost-effective prestress monitoring method for post-tensioned reinforced concrete (RC) beams using a smart strand. Firstly, the concept of a piezoelectric-based smart strand and its implementation for prestress force …
View article: An Image-Based Algorithm for the Automatic Detection of Loosened Bolts
An Image-Based Algorithm for the Automatic Detection of Loosened Bolts Open
The bolted joint has been widely used to connect load-bearing elements in aerospace, civil, and mechanical engineering systems. During its service life, particularly under external dynamical loads, a bolted joint may undergo self-loosening…
View article: Anchor Force Monitoring Using Impedance Technique with Single-Point Mount Lead-Zirconate-Titanate Interface: A Feasibility Study
Anchor Force Monitoring Using Impedance Technique with Single-Point Mount Lead-Zirconate-Titanate Interface: A Feasibility Study Open
As a key load-bearing element in a prestressed structure, the anchor should be appropriately monitored to secure its as-built prestressing force. In previous studies, the impedance-based prestress force monitoring technique through a mount…
View article: Correction: Pham et al. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model. Sensors 2020, 20, 3382
Correction: Pham et al. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model. Sensors 2020, 20, 3382 Open
The authors wish to make the following correction to this paper [...]
View article: Roles of Chitosan in Green Synthesis of Metal Nanoparticles for Biomedical Applications
Roles of Chitosan in Green Synthesis of Metal Nanoparticles for Biomedical Applications Open
Chitosan (CS) is a well-known stabilizer for metal nanoparticles in biomedical engineering. However, very few studies have explored other important roles of CS including reducing, shape-directing, and size-controlling. This review aims to …
View article: Crack Detection in Plate‐Like Structures Using Modal Strain Energy Method considering Various Boundary Conditions
Crack Detection in Plate‐Like Structures Using Modal Strain Energy Method considering Various Boundary Conditions Open
Among vibration‐based damage detection methods, one of the effective approaches for damage localization is the modal strain energy method. In this paper, the modal strain energy method is developed for damage detection in plate‐like struct…
View article: Understanding Impedance Response Characteristics of a Piezoelectric‐Based Smart Interface Subjected to Functional Degradations
Understanding Impedance Response Characteristics of a Piezoelectric‐Based Smart Interface Subjected to Functional Degradations Open
The functionality of piezoelectric devices is of significant importance in the electromechanical impedance (EMI)‐based structural health monitoring (SHM) and damage detection. Despite the previous work, the EMI response characteristics of …
View article: Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach
Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach Open
During the phase of building survey, spalling and its severity should be detected as earlier as possible to provide timely information on structural heath to building maintenance agency. Correct detection of spall severity can significantl…
View article: Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic
Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic Open
During the phase of periodic asphalt pavement survey, patched and unpatched potholes need to be accurately detected. This study proposes and verifies a computer vision‐based approach for automatically distinguishing patched and unpatched p…
View article: Vision-based inspection of bolted joints: Field evaluation on a historical truss bridge in Vietnam
Vision-based inspection of bolted joints: Field evaluation on a historical truss bridge in Vietnam Open
Vision-based inspection has received significant interests from structural health monitoring and maintenance academia. The vision-based approach has unique advantages over the traditional sensor-based inspection, including non-contact sens…
View article: Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model
Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model Open
In this study, we investigate a novel idea of using synthetic images of bolts which are generated from a graphical model to train a deep learning model for loosened bolt detection. Firstly, a framework for bolt-loosening detection using im…
View article: Structural parameter identification of a bolted connection embedded with a piezoelectric interface
Structural parameter identification of a bolted connection embedded with a piezoelectric interface Open
As the impedance-based technique has been commonly accepted as an innovative structural health monitoring tool, structural identification of a piezoelectric-driven system is of significant interest for damage identification and quantificat…
View article: Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique
Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique Open
For a structural health monitoring (SHM) system, the operational functionality of sensors is critical for successful implementation of a damage identification process. This study presents experimental and analytical investigations on senso…
View article: An Up-To-Date Review on Biomedical Applications of Palladium Nanoparticles
An Up-To-Date Review on Biomedical Applications of Palladium Nanoparticles Open
Palladium nanoparticles (PdNPs) have intrinsic features, such as brilliant catalytic, electronic, physical, mechanical, and optical properties, as well as diversity in shape and size. The initial researches proved that PdNPs have impressiv…
View article: Photothermal Responsive Porous Membrane for Treatment of Infected Wound
Photothermal Responsive Porous Membrane for Treatment of Infected Wound Open
Wound infection is a big issue of modern medicine because of multi-drug resistance bacteria; thus, developing an advanced therapy is curial. Photothermal therapy (PTT) is a newly noninvasive strategy that employs PTT agents to transfer nea…