Vibration feature extraction using signal processing techniques for structural health monitoring: A review

C Zhang, AA Mousavi, SF Masri, G Gholipour… - … Systems and Signal …, 2022 - Elsevier
Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …

Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review

M Azimi, AD Eslamlou, G Pekcan - Sensors, 2020 - mdpi.com
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

A lightweight encoder–decoder network for automatic pavement crack detection

G Zhu, J Liu, Z Fan, D Yuan, P Ma… - … ‐Aided Civil and …, 2024 - Wiley Online Library
Cracks are the most common damage type on the pavement surface. Usually, pavement
cracks, especially small cracks, are difficult to be accurately identified due to background …

Vision-based real-time structural vibration measurement through deep-learning-based detection and tracking methods

X Pan, TY Yang, Y **ao, H Yao, H Adeli - Engineering Structures, 2023 - Elsevier
Structural vibration measurement is crucial in structural health monitoring and structural
laboratory tests. Traditional contact type sensors are usually required to be attached to the …

Multiattribute multitask transformer framework for vision‐based structural health monitoring

Y Gao, J Yang, H Qian… - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Using deep learning (DL) to recognize building and infrastructure damage via images is
becoming popular in vision‐based structural health monitoring (SHM). However, many …

Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks

X Lu, W Liao, Y Zhang, Y Huang - Earthquake Engineering & …, 2022 - Wiley Online Library
Intelligent structural design using generative adversarial networks (GANs) is a revolutionary
design approach for building structures. Despite its far‐reaching capability, the data quantity …

Real‐time automatic crack detection method based on drone

S Meng, Z Gao, Y Zhou, B He… - Computer‐Aided Civil …, 2023 - Wiley Online Library
Real‐time automated drone‐based crack detection can be used for efficient building
damage assessment. This paper proposes an automated real‐time crack detection method …

Intelligent generative structural design method for shear wall building based on “fused-text-image-to-image” generative adversarial networks

W Liao, Y Huang, Z Zheng, X Lu - Expert Systems with Applications, 2022 - Elsevier
Like the way engineers designing buildings, competent generative design methods try to
understand the prescriptive requirement in text and architectural sketches, apply …

Integrating structural control, health monitoring, and energy harvesting for smart cities

S Javadinasab Hormozabad, M Gutierrez Soto… - Expert …, 2021 - Wiley Online Library
Cities that are adopting innovative and technology‐driven solutions to improve the city's
efficiency are considered smart cities. With the increased attention on smart cities with self …

Automatic railroad track components inspection using real‐time instance segmentation

F Guo, Y Qian, Y Wu, Z Leng… - Computer‐Aided Civil and …, 2021 - Wiley Online Library
Abstract In the United States, to ensure railroad safety and keep its efficient operation,
regular track inspections on track component defects are required by the Federal Railroad …