Analysis of Nonproportional Multiaxial Fatigue Test Data of Various Aluminum Alloys Using a New Damage Parameter

2017 ◽  
pp. 278-298 ◽  
Author(s):  
Jifa Mei ◽  
Pingsha Dong
Keyword(s):  
Aluminum Alloys ◽  
Fatigue Test ◽  
Test Data ◽  
Damage Parameter ◽  
Multiaxial Fatigue

scholarly journals Influence of different loading paths on the multiaxial fatigue behavior of 2024 aluminum alloy under the same amplitude values of the second invariant of the stress deviator tensor

2020 ◽  
Vol 15 (55) ◽  
pp. 327-335
Author(s):  
Andrey Yankin ◽  
A.I. Mugatarov ◽  
V.E. Wildemann
Keyword(s):  
Experimental Data ◽  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Test Data ◽  
Fatigue Behavior ◽  
Fatigue Tests ◽  
Multiaxial Fatigue ◽  
Stress Deviator ◽  
Behavior Prediction ◽  
2024 Aluminum Alloy

2024 aluminum alloy is a common aeronautic material. During operations, construction elements made of aluminum alloys undertake complex cyclic loadings. Therefore, it is important to estimate the influence of these loadings on the durability of the material. Hereby, multiaxial fatigue tests with the same amplitude values of the second invariant of the stress deviator tensor are conducted, and test data are analyzed. The modified Sines method is utilized to predict fatigue experimental data. Results show that the model is accurate enough to fatigue behavior prediction of 2024 aluminum alloy. 

Structure of aluminum alloys and scattering of fatigue test data

1975 ◽  
Vol 17 (5) ◽  
pp. 428-431 ◽  
Author(s):  
A. A. Gol'denberg ◽  
L. N. Ekimenkov ◽  
L. A. Metashop
Keyword(s):  
Aluminum Alloys ◽  
Fatigue Test ◽  
Test Data

Fatigue Capacity of Stiffener to Web Frame Connections

2009 ◽  
Author(s):  
Torbjo̸rn Lindemark ◽  
Inge Lotsberg ◽  
Joong-Kyoo Kang ◽  
Kwang-Seok Kim ◽  
Narve Oma
Keyword(s):  
Fatigue Test ◽  
Test Data ◽  
Large Scale ◽  
Fatigue Tests ◽  
Life Assessment ◽  
Shear Stresses ◽  
Test Model ◽  
The Difference ◽  
Marine Engineering ◽  
Plate Connections

Daewoo Shipbuilding & Marine Engineering Co., Ltd. (DSME), StatoilHydro and DNV established a common project to investigate the reason for the difference between calculated fatigue lives and the in-service experience and to assess the fatigue capacity of stiffener web connections subjected mainly to web frame shear stresses. The main objective of the work was to establish fatigue test data and perform numerical analysis of collar plate connections in order to provide improved confidence in analysis methodology for fatigue life assessment. Large scale fatigue tests of different types of connections were carried out to obtain fatigue test data of collar plate connections. Finite element analyses were carried out for comparison with fatigue test data and with measured stresses on the test model. Based on this work recommendations on fatigue design analysis of connections between stiffeners and web frames have been derived. The background for this is presented in this paper.

Fitting fatigue test data with a novel S-N curve using frequentist and Bayesian inference

2017 ◽  
Vol 105 ◽  
pp. 128-143 ◽  
Author(s):  
Davide Leonetti ◽  
Johan Maljaars ◽  
H.H. (Bert) Snijder
Keyword(s):  
Bayesian Inference ◽  
Fatigue Test ◽  
Test Data

Very High Cycle Fatigue Testing under Spectrum Loading for Endurance Limit Structural Design

2020 ◽  
Vol 65 (1) ◽  
pp. 1-7
Author(s):  
David T. Rusk ◽  
Robert E. Taylor ◽  
Bruce A. Pregger ◽  
Luis J. Sanchez
Keyword(s):  
Fatigue Test ◽  
Test Data ◽  
High Cycle Fatigue ◽  
Fatigue Testing ◽  
Crack Nucleation ◽  
Peak Stress ◽  
Material Behavior ◽  
Cycle Fatigue ◽  
Very High Cycle Fatigue ◽  
Very High

A program has recently concluded that generated fatigue test data for the influence of a rotorcraft main rotor blade root bending spectrum (Helix) on the crack nucleation mechanisms in 7075-T651 aluminum. High-frequency tests were performed that generated spectrum fatigue failures out to nearly 109 cycles. Fractographic examination showed a distinct change in crack nucleation from slip initiated to inclusion-initiated cracking as the spectrum peak stress level was increased. Spectrum life predictions were made using three different baseline constant-amplitude S-N curves, one using a traditional rotorcraft original equipment manufacturer fitting methodology, one using the high-cycle fatigue (HCF) portion of a strainlife curve, and one that was fitted to S-N data with test lives out to 3×108 cycles. The spectrum life prediction using the S-N curve that properly modeled material behavior in the very high cycle fatigue regime provided a good correlation to the spectrum fatigue test data. Predictions using the other S-N curves were highly conservative.

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