A literature review: Generative adversarial networks for civil structural health monitoring
Structural Health Monitoring (SHM) of civil structures has been constantly evolving with
novel methods, advancements in data science, and more accessible technology to address …
novel methods, advancements in data science, and more accessible technology to address …
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 …
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 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 …
Post-earthquake rapid assessment for loop system in substation using ground motion signals
W Zhu, Q Xie - Mechanical Systems and Signal Processing, 2024 - Elsevier
This study proposes a rapid assessment framework for loop systems in substations after
earthquakes, in which multiple one-to-one machine learning (ML) models are established …
earthquakes, in which multiple one-to-one machine learning (ML) models are established …
[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 …
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 …
Semi-supervised structural damage assessment via autoregressive models and evolutionary optimization
Abstract Strategies based on Structural Health Monitoring (SHM) allow identifying the
occurrence of damage in sensitive structures, such as bridges, tall buildings, dams …
occurrence of damage in sensitive structures, such as bridges, tall buildings, dams …
Zero-Shot Generative AI for Rotating Machinery Fault Diagnosis: Synthesizing Highly Realistic Training Data via Cycle-Consistent Adversarial Networks
The Intelligent Fault Diagnosis of rotating machinery calls for a substantial amount of training
data, posing challenges in acquiring such data for damaged industrial machinery. This …
data, posing challenges in acquiring such data for damaged industrial machinery. This …