F. Necati Çatbaş
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View article: Digital twin-oriented generation of structural data and models with LiDAR scan point clouds
Digital twin-oriented generation of structural data and models with LiDAR scan point clouds Open
Accurate geometric and structural data are essential for the development of digital twins for existing infrastructure systems, particularly in the context of building resilience. Many older or poorly documented structures either lack as-bu…
View article: AI-Integrated Bridge Deck Inspection Using Infrared Imaging and Ultrasonic Tomography
AI-Integrated Bridge Deck Inspection Using Infrared Imaging and Ultrasonic Tomography Open
Ensuring the safety and longevity of bridge decks demands effective inspection techniques, yet traditional methods often rely on manual analysis and time-intensive procedures. This paper introduces a streamlined, AI-driven approach that co…
View article: Comparative Evaluation of Robot and Portable SHM Platforms for Drive-By Bridge Modal Identification
Comparative Evaluation of Robot and Portable SHM Platforms for Drive-By Bridge Modal Identification Open
Bridge infrastructures lack affordable network-wide monitoring, as fixed S HM is typically limited to landmark spans. Drive-by monitoring with mobile robots offers scalable coverage using vehicles as moving sensor platforms. This paper exp…
View article: Human-Structure Interaction in Stadiums: Statistical Analysis of Vibration Comfort Levels Variability
Human-Structure Interaction in Stadiums: Statistical Analysis of Vibration Comfort Levels Variability Open
Crowd-induced vibrations in stadiums pose challenges to structural integrity, human comfort, and long-term reliability. This paper presents a methodology that integrates ISO-weighted filtering, modal analysis, and statistical distribution …
View article: Ultrasonic tomography with deep learning for detecting embedded components and internal damage of concrete structures
Ultrasonic tomography with deep learning for detecting embedded components and internal damage of concrete structures Open
Ultrasonic tomography is a powerful nondestructive technique for evaluating internal defects in concrete structures. This study presents a deep learning–enhanced approach utilizing a nanoscale object detection model to automate the localiz…
View article: Advancing disaster resilience using community digital twin
Advancing disaster resilience using community digital twin Open
View article: Conceptual Advancements in Infrastructure Maintenance and Management Using Smart Contracts: Reducing Costs and Improving Resilience
Conceptual Advancements in Infrastructure Maintenance and Management Using Smart Contracts: Reducing Costs and Improving Resilience Open
The civil engineering sector operates within a complex ecosystem of stakeholders, requiring efficient management and maintenance of structural and infrastructural assets. In this context, there is an increasing need for robust tools to tra…
View article: Remote Sensing in Bridge Digitalization: A Review
Remote Sensing in Bridge Digitalization: A Review Open
A review of the application of remote sensing technologies in the SHM and management of existing bridges is presented, showing their capabilities and advantages, as well as the main drawbacks when specifically applied to bridge assets. The…
View article: Community Twin Ecosystem for Disaster Resilient Communities
Community Twin Ecosystem for Disaster Resilient Communities Open
This paper presents COWINE (Community Twin Ecosystem), an ecosystem that harnesses Digital Twin (DT) to elevate and transform community resilience strategies. COWINE aims to enhance the disaster resilience of communities by fostering colla…
View article: Monitoring the changes in the dynamic properties of an RC building experiencing column loss
Monitoring the changes in the dynamic properties of an RC building experiencing column loss Open
In this study, an existing six-storey reinforced concrete building with an asymmetric structural plan and soft storey irregularity was used as a test specimen and subjected to three-step progressive structural damages to detect the variati…
View article: On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure
On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure Open
This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two differe…
View article: Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey
Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey Open
Structural displacement monitoring is one of the major tasks of structural health monitoring and it is a significant challenge for research and engineering practices relating to large-scale civil structures. While computer vision-based str…
View article: A brief introductory review to deep generative models for civil structural health monitoring
A brief introductory review to deep generative models for civil structural health monitoring Open
The use of deep generative models (DGMs) such as variational autoencoders, autoregressive models, flow-based models, energy-based models, generative adversarial networks, and diffusion models has been advantageous in various disciplines du…
View article: Condition transfer between prestressed bridges using structural state translation for structural health monitoring
Condition transfer between prestressed bridges using structural state translation for structural health monitoring Open
Implementing Structural Health Monitoring (SHM) systems with extensive sensing layouts on all civil structures is obviously expensive and unfeasible. Thus, estimating the state (condition) of dissimilar civil structures based on the inform…
View article: Effect of structural repairs on the load rating and reliability of a prestressed concrete bridge
Effect of structural repairs on the load rating and reliability of a prestressed concrete bridge Open
Prestressed girders often deteriorate over time due to environmental and man-made stressors, lowering the strength and serviceability of bridge structures. Although structural repairs are implemented to improve the load carrying capacity o…
View article: Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring Open
Using Structural Health Monitoring (SHM) systems with extensive sensing arrangements on every civil structure can be costly and impractical. Various concepts have been introduced to alleviate such difficulties, such as Population-based SHM…
View article: Advanced bridge visual inspection using real-time machine learning in edge devices
Advanced bridge visual inspection using real-time machine learning in edge devices Open
Conventional methods for bridge inspection are labor intensive and highly subjective. This study introduces an optimized approach using real-time learning-based computer vision algorithms on edge devices to assist inspectors in localizing …
View article: Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review
Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review Open
Condition assessment of civil engineering structures has been an active research area due to growing concerns over the safety of aged as well as new civil structures. Utilization of emerging immersive visualization technologies such as Vir…
View article: A literature review: Generative adversarial networks for civil structural health monitoring
A literature review: Generative adversarial networks for civil structural health monitoring Open
Structural Health Monitoring (SHM) of civil structures has been constantly evolving with novel methods, advancements in data science, and more accessible technology to address issues related to structural safety, operations, and resiliency…
View article: CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection Open
The recent advances in the data science field in the last few decades have benefitted many other fields including Structural Health Monitoring (SHM). Particularly, Artificial Intelligence (AI) such as Machine Learning (ML) and Deep Learnin…
View article: Generative Adversarial Networks for Data Generation in Structural Health Monitoring
Generative Adversarial Networks for Data Generation in Structural Health Monitoring Open
Structural Health Monitoring (SHM) has been continuously benefiting from the advancements in the field of data science. Various types of Artificial Intelligence (AI) methods have been utilized to assess and evaluate civil structures. In AI…
View article: Editorial: Human-Induced Excitations and Vibrations Serviceability of Civil Engineering Structures
Editorial: Human-Induced Excitations and Vibrations Serviceability of Civil Engineering Structures Open
EDITORIAL article Front. Built Environ., 09 February 2022 | https://doi.org/10.3389/fbuil.2022.846351
View article: Structural Health Monitoring of a Foot bridge in Virtual Reality Environment
Structural Health Monitoring of a Foot bridge in Virtual Reality Environment Open
Ageing civil infrastructure systems require imminent attention before any failure mechanism becomes critical. Structural Health Monitoring (SHM) is employed to track inputs and/or responses of structural systems for decision support. Inspe…
View article: Structural Health Monitoring of a Foot Bridge in Virtual Reality Environment
Structural Health Monitoring of a Foot Bridge in Virtual Reality Environment Open
Ageing civil infrastructure systems require imminent attention before any\nfailure mechanism becomes critical. Structural Health Monitoring (SHM) is\nemployed to track inputs and/or responses of structural systems for decision\nsupport. In…
View article: Generative Adversarial Networks for Labelled Vibration Data Generation
Generative Adversarial Networks for Labelled Vibration Data Generation Open
As Structural Health Monitoring (SHM) being implemented more over the years, the use of operational modal analysis of civil structures has become more significant for the assessment and evaluation of engineering structures. Machine Learnin…
View article: Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection Open
There has been a major advance in the field of Data Science in the last few decades, and these have been utilized for different engineering disciplines and applications. Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning…
View article: A Novel Decision Support System for Long-Term Management of Bridge Networks
A Novel Decision Support System for Long-Term Management of Bridge Networks Open
Developing a bridge management strategy at the network level with efficient use of capital is very important for optimal infrastructure remediation. This paper introduces a novel decision support system that considers many aspects of bridg…
View article: Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder–Decoder Network
Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder–Decoder Network Open
Fatigue cracks are critical types of damage in steel structures due to repeated loads and distortion effects. Fatigue crack growth may lead to further structural failure and even induce collapse. Efficient and timely fatigue crack detectio…
View article: Bridge Damage Detection Approach Using a Roving Camera Technique
Bridge Damage Detection Approach Using a Roving Camera Technique Open
Increasing extreme climate events, intensifying traffic patterns and long-term underinvestment have led to the escalated deterioration of bridges within our road and rail transport networks. Structural Health Monitoring (SHM) systems provi…
View article: Identifying Critical Clusters of Traffic-Loading Events in Recurrent Congested Conditions on a Long-Span Road Bridge
Identifying Critical Clusters of Traffic-Loading Events in Recurrent Congested Conditions on a Long-Span Road Bridge Open
This paper examines the nature of traffic loading in recurrent congested traffic conditions on a long-span suspension bridge. Traffic flow and percentage of trucks are extracted from image data and a cluster analysis performed to classify …