Results 11 to 20 of about 83,305 (186)

Using Support Vector Machine to Improve Ultrasonic Pulse Velocity Test for Concrete [PDF]

open access: yesMATEC Web of Conferences, 2018
In the construction industry, to evaluate the compressive strength of concrete, destructive and non-destructive testing methods are used. Non-destructive testing methods are preferable due to the fact that those methods do not destroy concrete samples ...
Loan Ngo Tu Quynh, Wang Yu-Ren
doaj   +2 more sources

Improving Ultrasonic Testing by Using Machine Learning Framework Based on Model Interpretation Strategy

open access: yesChinese Journal of Mechanical Engineering, 2023
Ultrasonic testing (UT) is increasingly combined with machine learning (ML) techniques for intelligently identifying damage. Extracting significant features from UT data is essential for efficient defect characterization.
Siqi Shi   +5 more
doaj   +2 more sources

Fatigue lifetime of AlBC(3) alloy by ultrasonic fatigue testing machine in cavitation regime

open access: yesThe Journal of Engineering, 2015
In this study, the influence of ultrasonic nanocrystalline surface modification (UNSM) technique on the cavitation fatigue properties of AlBC(3) alloy was investigated.
I.S. Cho, A. Amanov, I.G. Park
doaj   +2 more sources

Advances of Machine Learning in Phased Array Ultrasonic Non-Destructive Testing: A Review

open access: yesAI
Recent advancements in machine learning (ML) have led to state-of-the-art performance in various domain-specific tasks, driving increasing interest in its application to non-destructive testing (NDT). Among NDT techniques, phased array ultrasonic testing
Yiming Na   +6 more
doaj   +2 more sources

Predicting Intrahepatic Cholestasis of Pregnancy: A Retrospective Cohort Study of a Comprehensive Clinical Prediction Model [PDF]

open access: yesInternational Journal of General Medicine
Huan Liang,1 Ye Tian,2 Jie Gao,3 Jing Teng4 1Department of Gynecology,The Central Hospital of Enshi Tujia and Miao Autonomous Prefectrue, Enshi, Hubei, 445000, People’s Republic of China; 2School of Medicine,Hubei Minzu University, Enshi, Hubei, 445000 ...
Liang H, Tian Y, Gao J, Teng J
doaj   +2 more sources

Machine learning-based prediction of unconfined compressive strength of organic-rich clay shales using hybrid destructive and non-destructive inputs [PDF]

open access: yesScientific Reports
The unconfined compressive strength of organic-rich clay shale is a fundamental parameter in geotechnical and energy applications, influencing drilling efficiency, wellbore stability, and excavation design.
Muhammad Ali   +3 more
doaj   +2 more sources

The Influence of the Hardness of the Tested Material and the Surface Preparation Method on the Results of Ultrasonic Testing

open access: yesApplied Sciences, 2023
Non-destructive ultrasonic testing can be used to assess the properties and condition of real machine elements during their operation, with limited (one-sided) access to these elements.
Jakub Kowalczyk   +4 more
doaj   +1 more source

Research progress in ultrasonic testing for friction stir welding of aluminum alloy

open access: yesCailiao gongcheng, 2022
The defects in friction stir welding (FSW) of aluminum alloy, e.g., tunnel defect, lack of penetration (LOP) and kissing bond, are with complex shape and narrow gap by inappropriate welding parameters.
JIN Shijie, TIAN Xin, LIN Li
doaj   +1 more source

Classification of ultrasonic signals of thermally aged cast austenitic stainless steel (CASS) using machine learning (ML) models

open access: yesNuclear Engineering and Technology, 2022
Cast austenitic stainless steels (CASSs) are widely used as structural materials in the nuclear industry. The main drawback of CASSs is the reduction in fracture toughness due to long-term exposure to operating environment.
Jin-Gyum Kim   +2 more
doaj   +1 more source

ML-Enabled Piezoelectric-Driven Internal Defect Assessment in Metal Structures

open access: yesMachines, 2023
With the growth of 3D printing in the production space, it is inevitable that quality assurance will be needed to keep final products within the constraints of requirements.
Daniel Adeleye   +4 more
doaj   +1 more source

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