Vibration feature extraction using signal processing techniques for structural health monitoring: A review
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 …
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
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 …
recent technological advancements in sensors, as well as high-speed internet and cloud …
A lightweight encoder–decoder network for automatic pavement crack detection
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 …
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
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 …
laboratory tests. Traditional contact type sensors are usually required to be attached to the …
Multiattribute multitask transformer framework for vision‐based structural health monitoring
Using deep learning (DL) to recognize building and infrastructure damage via images is
becoming popular in vision‐based structural health monitoring (SHM). However, many …
becoming popular in vision‐based structural health monitoring (SHM). However, many …
Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks
Intelligent structural design using generative adversarial networks (GANs) is a revolutionary
design approach for building structures. Despite its far‐reaching capability, the data quantity …
design approach for building structures. Despite its far‐reaching capability, the data quantity …
Real‐time automatic crack detection method based on drone
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 …
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
Like the way engineers designing buildings, competent generative design methods try to
understand the prescriptive requirement in text and architectural sketches, apply …
understand the prescriptive requirement in text and architectural sketches, apply …
Integrating structural control, health monitoring, and energy harvesting for smart cities
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 …
efficiency are considered smart cities. With the increased attention on smart cities with self …
Automatic railroad track components inspection using real‐time instance segmentation
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 …
regular track inspections on track component defects are required by the Federal Railroad …