Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
The development of structural health monitoring (SHM) techniques is of great importance to
improve the structural efficiency and safety. With advantages of long propagation distances …
improve the structural efficiency and safety. With advantages of long propagation distances …
[HTML][HTML] Automated ultrasonic-based diagnosis of concrete compressive damage amidst temperature variations utilizing deep learning
Ultrasonic-based non-destructive testing technologies have been extensively applied for
detection of internal damage in concrete. However, it is vulnerable to environmental …
detection of internal damage in concrete. However, it is vulnerable to environmental …
[HTML][HTML] Guided waves in long range nondestructive testing and structural health monitoring: Principles, history of applications and prospects
The early work on long range guided wave nondestructive testing (NDT) was largely done in
industry, and multiple applications were developed before a surge in academic interest …
industry, and multiple applications were developed before a surge in academic interest …
Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …
reached their design lifetime. While contact-based measurement techniques are challenging …
Two-step detection of concrete internal condition using array ultrasound and deep learning
Y Wu, Y Wang, D Li, J Zhang - NDT & E International, 2023 - Elsevier
Internal defects in concrete structures pose a great risk and potential hazard to the safety
and durability of civil structure. Reliable and accurate detection of the internal conditions of …
and durability of civil structure. Reliable and accurate detection of the internal conditions of …
[HTML][HTML] A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation
Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent
years, promoting higher-level automation and decision-making in flaw detection and …
years, promoting higher-level automation and decision-making in flaw detection and …
[HTML][HTML] Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results
Performances are a key concern in aerospace vehicles, requiring safer structures with as
little consumption as possible. Composite materials replaced aluminum alloys even in …
little consumption as possible. Composite materials replaced aluminum alloys even in …
[HTML][HTML] A comparison of methods for generating synthetic training data for domain adaption of deep learning models in ultrasonic non-destructive evaluation
This work provides a solution to the challenge of small amounts of training data in Non-
Destructive Ultrasonic Testing for composite components. It was demonstrated that direct …
Destructive Ultrasonic Testing for composite components. It was demonstrated that direct …
Advances in thermal barrier coatings modeling, simulation, and analysis: A review
This review presents an approach to traditional and advanced modeling, simulation, and
analysis techniques in the context of thermal barrier coatings (TBCs), augmented by AI …
analysis techniques in the context of thermal barrier coatings (TBCs), augmented by AI …