[HTML][HTML] A brief introductory review to deep generative models for civil structural health monitoring

F Luleci, FN Catbas - AI in Civil Engineering, 2023 - Springer
The use of deep generative models (DGMs) such as variational autoencoders,
autoregressive models, flow-based models, energy-based models, generative adversarial …

[HTML][HTML] Domain adaptation for structural health monitoring via physics-informed and self-attention-enhanced generative adversarial learning

L Ge, A Sadhu - Mechanical Systems and Signal Processing, 2024 - Elsevier
Health monitoring technologies, empowered by sensor-driven information and model
updating, play an important role in assessing the status of civil structures and detecting …

[HTML][HTML] On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure

FN Catbas, JA Cano, F Luleci, LC Walters… - Infrastructures, 2023 - mdpi.com
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 …

Investigating the Increase in Load Rating and Reliability of a Prestressed Concrete Bridge When Utilizing Field-Derived Distribution and Impact Factors

M Debees, F Luleci, CZ Dong… - Journal of Bridge …, 2024 - ascelibrary.org
When the load rating of a bridge is less than 1.0 for AASHTO HL-93 live load and state-
specific legal trucks, the bridge is posted. Posting a bridge causes an inconvenience to the …

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 …

Where is the end of a Bridge (model)?

A Bunce, D Hester, DS Brennan - Journal of Physics: Conference …, 2024 - iopscience.iop.org
Bridge SHM solutions have been developed to assist with the assessment and monitoring of
bridges. State of the art bridge SHM solutions tend to be data based, where machine …