These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 28772873)

  • 1. A New Energy-Critical Plane Damage Parameter for Multiaxial Fatigue Life Prediction of Turbine Blades.
    Yu ZY; Zhu SP; Liu Q; Liu Y
    Materials (Basel); 2017 May; 10(5):. PubMed ID: 28772873
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiaxial Fatigue Damage Parameter and Life Prediction without Any Additional Material Constants.
    Yu ZY; Zhu SP; Liu Q; Liu Y
    Materials (Basel); 2017 Aug; 10(8):. PubMed ID: 28792487
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades.
    Zhu SP; Yue P; Yu ZY; Wang Q
    Materials (Basel); 2017 Jun; 10(7):. PubMed ID: 28773064
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiaxial fatigue modeling for Nitinol shape memory alloys under in-phase loading.
    Mahtabi MJ; Shamsaei N
    J Mech Behav Biomed Mater; 2015 Mar; 55():236-249. PubMed ID: 26594783
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Numerical and Experimental Analysis of Horizontal-Axis Wind Turbine Blade Fatigue Life.
    Shah I; Khan A; Ali M; Shahab S; Aziz S; Noon MAA; Tipu JAK
    Materials (Basel); 2023 Jul; 16(13):. PubMed ID: 37445118
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Fatigue Crack Growth in Gas Turbine Engine Blades Using Acoustic Emission.
    Zhang Z; Yang G; Hu K
    Sensors (Basel); 2018 Apr; 18(5):. PubMed ID: 29693556
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel model for low-cycle multiaxial fatigue life prediction based on the critical plane-damage parameter.
    Liu J; Lv X; Wei Y; Pan X; Jin Y; Wang Y
    Sci Prog; 2020; 103(3):36850420936220. PubMed ID: 32757872
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiaxial Fatigue Analysis of Jacket-Type Offshore Wind Turbine Based on Multi-Scale Finite Element Model.
    Peng M; Liu M; Gu S; Nie S
    Materials (Basel); 2023 Jun; 16(12):. PubMed ID: 37374566
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PSO-BP Neural Network-Based Strain Prediction of Wind Turbine Blades.
    Liu X; Liu Z; Liang Z; Zhu SP; Correia JAFO; De Jesus AMP
    Materials (Basel); 2019 Jun; 12(12):. PubMed ID: 31212753
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Acoustic-Signal-Based Damage Detection of Wind Turbine Blades-A Review.
    Ding S; Yang C; Zhang S
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299714
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using the Smith-Watson-Topper Parameter and Its Modifications to Calculate the Fatigue Life of Metals: The State-of-the-Art.
    Łagoda T; Vantadori S; Głowacka K; Kurek M; Kluger K
    Materials (Basel); 2022 May; 15(10):. PubMed ID: 35629509
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Vibration-Based Fatigue Analysis of Octet-Truss Lattice Infill Blades for Utilization in Turbine Rotors.
    Hussain S; Ghopa WAW; Singh SSK; Azman AH; Abdullah S; Harun Z; Hishamuddin H
    Materials (Basel); 2022 Jul; 15(14):. PubMed ID: 35888355
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Structural Testing by Torsion of Scalable Wind Turbine Blades.
    Morăraș CI; Goanță V; Istrate B; Munteanu C; Dobrescu GS
    Polymers (Basel); 2022 Sep; 14(19):. PubMed ID: 36235885
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extremely-Low-Cycle Fatigue Damage for Beam-to-Column Welded Joints Using Structural Details.
    Huang L; Qu W; Zhao E
    Materials (Basel); 2020 Apr; 13(7):. PubMed ID: 32283852
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Manufacture of High-Performance Tidal Turbine Blades Using Advanced Composite Manufacturing Technologies.
    Finnegan W; Allen R; Glennon C; Maguire J; Flanagan M; Flanagan T
    Appl Compos Mater (Dordr); 2021; 28(6):2061-2086. PubMed ID: 35035103
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Full-Scale Fatigue Testing of a Wind Turbine Blade in Flapwise Direction and Examining the Effect of Crack Propagation on the Blade Performance.
    Al-Khudairi O; Hadavinia H; Little C; Gillmore G; Greaves P; Dyer K
    Materials (Basel); 2017 Oct; 10(10):. PubMed ID: 28972548
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Numerical and Experimental Assessment of the Effect of Residual Stresses on the Fatigue Strength of an Aircraft Blade.
    Bednarz A; Misiolek WZ
    Materials (Basel); 2021 Sep; 14(18):. PubMed ID: 34576502
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Structural analysis of a fibre-reinforced composite blade for a 1 MW tidal turbine rotor under degradation of seawater.
    Jiang Y; Finnegan W; Wallace F; Flanagan M; Flanagan T; Goggins J
    J Ocean Eng Mar Energy; 2023 Mar; 9(3):1-18. PubMed ID: 37361141
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fatigue Life Prediction of Notched Details Using SWT Model and LEFM-Based Approach.
    Hao R; Wen Z; Xin H; Lin W
    Materials (Basel); 2023 Feb; 16(5):. PubMed ID: 36903056
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Springer Model for Lifetime Prediction of Wind Turbine Blade Leading Edge Protection Systems: A Review and Sensitivity Study.
    Hoksbergen N; Akkerman R; Baran I
    Materials (Basel); 2022 Feb; 15(3):. PubMed ID: 35161114
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.