Extended reality (XR) for condition assessment of civil engineering structures: A literature review
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 …
to growing concerns over the safety of aged as well as new civil structures. Utilization of …
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 …
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification
In this paper, the transient dynamic response of shear type multi-storey buildings subjected
to earthquake ground motion is generated via adversarial learning technique under different …
to earthquake ground motion is generated via adversarial learning technique under different …
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 …
A vibration-based 1DCNN-BiLSTM model for structural state recognition of RC beams
The vibration signal analysis-based structural health monitoring (SHM) system has been
widely used for bridge condition identification. With the development of artificial intelligence …
widely used for bridge condition identification. With the development of artificial intelligence …
[HTML][HTML] Domain adaptation for structural health monitoring via physics-informed and self-attention-enhanced generative adversarial learning
Health monitoring technologies, empowered by sensor-driven information and model
updating, play an important role in assessing the status of civil structures and detecting …
updating, play an important role in assessing the status of civil structures and detecting …
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 …
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers
N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …
usually performed or supported by human domain experts. However, the manual visual …