A brief introductory review to deep generative models for civil structural health monitoring
The use of deep generative models (DGMs) such as variational autoencoders,
autoregressive models, flow-based models, energy-based models, generative adversarial …
autoregressive models, flow-based models, energy-based models, generative adversarial …
CycleGAN for undamaged-to-damaged domain translation for structural health monitoring and damage detection
The advances in data science in the last few decades have benefitted many other fields,
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …
Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring
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 …
graphics. Recently, the authors of this paper took a similar approach and translated the …
On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure
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 …
structures with incomplete documentation and plans. LiDAR technology is utilized to obtain …
Condition transfer between prestressed bridges using structural state translation for structural health monitoring
F Luleci, F Necati Catbas - AI in Civil Engineering, 2023 - Springer
Abstract Implementing Structural Health Monitoring (SHM) systems with extensive sensing
layouts on all civil structures is obviously expensive and unfeasible. Thus, estimating the …
layouts on all civil structures is obviously expensive and unfeasible. Thus, estimating the …