[HTML][HTML] A literature review: Generative adversarial networks for civil structural health monitoring

F Luleci, FN Catbas, O Avci - Frontiers in Built Environment, 2022 - frontiersin.org
Structural Health Monitoring (SHM) of civil structures has been constantly evolving with
novel methods, advancements in data science, and more accessible technology to address …

[HTML][HTML] Extended reality (XR) for condition assessment of civil engineering structures: A literature review

FN Catbas, F Luleci, M Zakaria, U Bagci, JJ LaViola Jr… - Sensors, 2022 - mdpi.com
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 …

Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring

F Luleci, O Avci, FN Catbas - Engineering Applications of Artificial …, 2023 - Elsevier
Unpaired image-to-image translation is a popular research topic in computer vision and
graphics. Recently, the authors of this paper took a similar approach and translated the …

[HTML][HTML] Microstructural image based convolutional neural networks for efficient prediction of full-field stress maps in short fiber polymer composites

S Gupta, T Mukhopadhyay, V Kushvaha - Defence Technology, 2023 - Elsevier
The increased demand for superior materials has highlighted the need of investigating the
mechanical properties of composites to achieve enhanced constitutive relationships. Fiber …

A review of latest trends in bridge health monitoring

N Catbas, O Avci - Proceedings of the Institution of Civil …, 2022 - icevirtuallibrary.com
Structural damage is inherent in civil engineering structures, and bridges are no exception. It
is vital to monitor and keep track of damage in bridge structures as a result of multiple …

Structural state translation: Condition transfer between civil structures using domain-generalization for structural health monitoring

F Luleci, FN Catbas - arXiv preprint arXiv:2212.14048, 2022 - arxiv.org
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 …

[HTML][HTML] Monitoring the misalignment of machine tools with autoencoders after they are trained with transfer learning data

M Demetgul, Q Zheng, IN Tansel, J Fleischer - The International Journal of …, 2023 - Springer
CNC machines have revolutionized manufacturing by enabling high-quality and high-
productivity production. Monitoring the condition of these machines during production would …

Hierarchical Neural Network and Simulation Based Structural Defect Identification and Classification

DS Singh, GBL Chowdary… - Structural Control and …, 2023 - Wiley Online Library
A vibration data‐driven structural defect identification and classification technique is
developed using frequency response under random excitation and a hierarchical neural …

Investigating Emerging Technologies In Civil Structural Health Monitoring: Generative Artificial Intelligence And Virtual Reality

F Luleci - 2024 - stars.library.ucf.edu
Condition assessment of civil engineering infrastructure systems is of growing importance as
they face aging and degradation due to both human-made activities and environmental …

[HTML][HTML] Generative adversarial network for predicting visible deterioration and NDE condition maps in highway bridge decks

A Najafi, J Braley, N Gucunski, A Maher - Journal of Infrastructure …, 2023 - Elsevier
Bridge decks tend to degrade faster than other bridge components due to environment
exposure and vehicular loading. Periodic degradation monitoring is needed for timely …