Novel Fatigue-Damage Sensor for Prediction of Remaining Fatigue Lifetime of Mechanical Components and Structures-Reference-Cited by-同舟云学术

Novel Fatigue-Damage Sensor for Prediction of Remaining Fatigue Lifetime of Mechanical Components and Structures

Published:2021-10 Issue:10 Volume:147 Page:04021158
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Kaplan Halit¹^ORCID

Affiliation:

1. Director, Formerly Assistant Professor, Dept. of Mechatronics Engineering, Univ. of Turkish Aeronautical Association, Ankara 06815, Turkey. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003109

Reference14 articles.

1. Structural health monitoring – What is the prescription?

2. Designing and modeling U-notch fatigue sensor to predict the fatigue life of structural components;Alshahbouni T.;Eng. Sci. Tech., Int. J.,2019

3. Boller C. and N. Meyendorf. 2008. “State-of-the-art in structural health monitoring for aeronautics.” In Proc. of the Int. Symp. on NDT (Non Destructive Testing) in Aerospace. Saarbrücken Germany: Fraunhofer Institute for Nondestructive Testing.

4. A generalization of the fatigue Kohout-Věchet model for several fatigue damage parameters

5. Goldfine N. V. Zilberstein A. Washabaugh D. Schlicker I. Shay and D. Grundy. 2006. “Fatigue and stress monitoring with magnetic sensor arrays.” In Proc. Annual Society for Experimental Mechanics (SEM) Conf. Bethel CT: Society for Experimental Mechanics.

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