Genda Chen
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View article: Class-wise histogram matching-based domain adaptation in deep learning-based bridge element segmentation
Class-wise histogram matching-based domain adaptation in deep learning-based bridge element segmentation Open
This study focused on the problem of domain shift in deep learning-based bridge element segmentation. The impracticability of accounting for all possible variabilities vis-à-vis structural shape, size, color, texture, illumination, and oth…
View article: SCSHM benchmark study on bridge in-service structural monitoring
SCSHM benchmark study on bridge in-service structural monitoring Open
The mission of the Society of Civil Structural Health Monitoring (SCSHM, previously known as ISHMII) is to advance the understanding and application of structural monitoring methodologies for the management of civil infrastructure systems.…
View article: Experimental Study on the Detection of the Existence and Location of Mimicked and Unexpected Interface Debonding Defects in an Existing Rectangular CFST Column with PZT Materials
Experimental Study on the Detection of the Existence and Location of Mimicked and Unexpected Interface Debonding Defects in an Existing Rectangular CFST Column with PZT Materials Open
Interface bonding conditions between concrete and steel materials play key roles in ensuring the composite effect and load-carrying capacity of concrete–steel composite structures such as concrete-filled steel tube (CFST) members in practi…
View article: Multifunctional Models in Digital and Physical Twinning of the Built Environment—A University Campus Case Study
Multifunctional Models in Digital and Physical Twinning of the Built Environment—A University Campus Case Study Open
The digital twin (DT) concept has been developed for a single function in previous studies. This study aims to empower DTs with a layered integration of multifunctional models in the built environment. It develops a framework of DT modules…
View article: Utilizing ensemble learning in the classifications of ductile and brittle failure modes of UHPC strengthened RC members
Utilizing ensemble learning in the classifications of ductile and brittle failure modes of UHPC strengthened RC members Open
This study aims to achieve the swift and precise classification of ductile and brittle failure modes in flexural reinforced concrete (RC) members, specifically those with tension sides strengthened by ultrahigh performance concrete (UHPC).…
View article: Natural Gas Induced Vegetation Stress Identification and Discrimination from Hyperspectral Imaging for Pipeline Leakage Detection
Natural Gas Induced Vegetation Stress Identification and Discrimination from Hyperspectral Imaging for Pipeline Leakage Detection Open
Remote sensing detection of natural gas leaks remains challenging when using ground vegetation stress to detect underground pipeline leaks. Other natural stressors may co-present and complicate gas leak detection. This study explores the f…
View article: AUGMENTED REALITY WITH LIVE VIDEO STREAMING FOR BEYOND VISUAL LINE OF SIGHT INSPECTION FOR A STEEL BRIDGE
AUGMENTED REALITY WITH LIVE VIDEO STREAMING FOR BEYOND VISUAL LINE OF SIGHT INSPECTION FOR A STEEL BRIDGE Open
A Bridge inspection is routinely conducted to enhance its useful life and ensure user safety within prescribed standards. In this paper, an automated inspection of steel bridges beyond the visual line of sight (BVLOS) is explored with the …
View article: Development and Characterization of Coal-Based Thermoplastic Composite Material for Sustainable Construction
Development and Characterization of Coal-Based Thermoplastic Composite Material for Sustainable Construction Open
The exploitation of coal and the disposal of waste plastic present significant environmental and economic challenges that require sustainable and profitable solutions. In response, we propose a renewable construction composite material of …
View article: Effect of type and quantity of inherent alkali cations on alkali-silica reaction
Effect of type and quantity of inherent alkali cations on alkali-silica reaction Open
In this study, the macroscopical expansion induced by alkali-silica reaction (ASR) and its corresponding ASR products are investigated using ordinary Portland cement (OPC) mortar specimens with a gradient of boosted alkalis. Experimental r…
View article: Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging
Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging Open
The organic coating of bridge steel girders is subjected to physical scratches, corrosion, and aging in natural weathering. The breakdown of the coating may cause serviceability and safety problems if left unnoticed. Conventional coating i…
View article: Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging
Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging Open
The organic coating of bridge steel girders is subjected to physical scratches, corrosion, and aging in natural weathering. The breakdown of the coating may cause serviceability and safety problems if left unnoticed. A hyperspectral imagin…
View article: Preliminary bond capacity exploration between monolayer graphene and cementitious composites
Preliminary bond capacity exploration between monolayer graphene and cementitious composites Open
This study aims to explore bond capacity between monolayer graphene and cementitious composites for the first time through a pullout test. The low-pressure chemical vapor deposition method was used to synthesize monolayer graphene on the c…
View article: Spiral Deployment of Optical Fiber Sensors for Distributed Strain Measurement in Seven-Wire Twisted Steel Cables, Post-Tensioned against Precast Concrete Bars
Spiral Deployment of Optical Fiber Sensors for Distributed Strain Measurement in Seven-Wire Twisted Steel Cables, Post-Tensioned against Precast Concrete Bars Open
On-time monitoring and condition assessments of steel cables provide mission-critical data for informed decision making, ensuring the structural safety of post-tensioned concrete structures. This study aimed to develop a spiral deployment …
View article: Artificial intelligence in civil infrastructure health monitoring—Historical perspectives, current trends, and future visions
Artificial intelligence in civil infrastructure health monitoring—Historical perspectives, current trends, and future visions Open
Over the past 2 decades, the use of artificial intelligence (AI) has exponentially increased toward complete automation of structural inspection and assessment tasks. This trend will continue to rise in image processing as unmanned aerial …
View article: Rayleigh scattering based, thermal-induced displacement measurement along a steel plate at high temperature
Rayleigh scattering based, thermal-induced displacement measurement along a steel plate at high temperature Open
This study aims to quantify Rayleigh scattering based measurement accuracy of distributed fiber optic sensors under a heating-holding load protocol and characterize the effect of polymer coating on the sensors as the polymer softens and me…
View article: Investigation into corrosion-induced bond degradation between concrete and steel rebar with acoustic emission and 3D laser scan techniques
Investigation into corrosion-induced bond degradation between concrete and steel rebar with acoustic emission and 3D laser scan techniques Open
Corrosion-induced bond degradation of deformed steel rebar in concrete is experimentally investigated with acoustic emission (AE) and 3D laser scan technique. Concrete specimens were fabricated and subjected to direct pullout test after be…
View article: Quantifying thermal strain of steel plate subjected to constant temperature by distributed fiber optic sensors
Quantifying thermal strain of steel plate subjected to constant temperature by distributed fiber optic sensors Open
Effective strain measurement tools for steel structure at high temperature are limited due to a significant gap in measurement science. This study aims to experimentally and numerically investigate the effectiveness and limitation of Rayle…
View article: Faster Post-Earthquake Damage Assessment Based on 1D Convolutional Neural Networks
Faster Post-Earthquake Damage Assessment Based on 1D Convolutional Neural Networks Open
Contemporary deep learning approaches for post-earthquake damage assessments based on 2D convolutional neural networks (CNNs) require encoding of ground motion records to transform their inherent 1D time series to 2D images, thus requiring…
View article: A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos Open
Bridge inspection is an important step in preserving and rehabilitating transportation infrastructure for extending their service lives. The advancement of mobile robotic technology allows the rapid collection of a large amount of inspecti…
View article: Encoding Time-Series Ground Motions as Images for Convolutional Neural Networks-Based Seismic Damage Evaluation
Encoding Time-Series Ground Motions as Images for Convolutional Neural Networks-Based Seismic Damage Evaluation Open
Traditional methods for seismic damage evaluation require manual extractions of intensity measures (IMs) to properly represent the record-to-record variation of ground motions. Contemporary methods such as convolutional neural networks (CN…
View article: Detection of Corrosion-Indicating Oxidation Product Colors in Steel Bridges under Varying Illuminations, Shadows, and Wetting Conditions
Detection of Corrosion-Indicating Oxidation Product Colors in Steel Bridges under Varying Illuminations, Shadows, and Wetting Conditions Open
Early detection of corrosion in steel bridges is essential for strategizing the mitigation of further corrosion damage. Although various image-based approaches are available in the literature for corrosion detection, most of these approach…
View article: Micrometer-accuracy 2D displacement interferometer with plasmonic metasurface resonators
Micrometer-accuracy 2D displacement interferometer with plasmonic metasurface resonators Open
In this Letter, a high-accuracy, two-dimensional displacement sensor is proposed, designed, and demonstrated based on the concept of an extrinsic Fabry–Perot Interferometer. The sensor is composed of two bundled single-mode optic fibers in…