The Finite Element Research of Fatigue Properties of Steel Q345 Butt Welded Joint

2014 ◽  
Vol 670-671 ◽  
pp. 1087-1090
Author(s):  
Wei Ping Ouyang ◽  
Liang Sheng Chen ◽  
Xiu Dong Xu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Fatigue Life ◽  
Stress Distribution ◽  
Welded Joint ◽  
Fatigue Tests ◽  
Fatigue Properties ◽  
Structural Stress ◽  
Design Development ◽  
Stress Theory

The research of fatigue properties of the butt welded joint, though a large number of fatigue tests are need to be carried out, has significant influence to hoisting equipment’s design, development and using safety. This paper conducted a study on simulating the fatigue properties of widely used steel Q345 butt welded joint’s by finite element method based on the improved linear equivalent structural stress theory. The originally massive amount of fatigue tests and data processing could be saved. In order to ensure the accuracy of the fatigue modeling, a batch of Q345 butt welded joints were prepared for the fatigue tests which is used to contrast with the modeling result. The stress distribution under different load situation and the fatigue life of the joints, which have profound reference significance to hoisting machinery industry, can be acquired through modeling.

The Research of Fatigue Properties of Steel Q235 Butt Welded Joint

2014 ◽  
Vol 937 ◽  
pp. 158-161 ◽  
Author(s):  
Wei Ping Ouyang ◽  
Jin Zhang ◽  
Xiu Dong Xu
Keyword(s):  
Fatigue Life ◽  
Stress Distribution ◽  
Weld Joint ◽  
Welded Joint ◽  
Fatigue Properties ◽  
Structural Stress ◽  
Design Development ◽  
Finite Element Software ◽  
Stress Environment ◽  
Important Significance

The research on the fatigue life of butt welded joint has important significance to hoisting equipment’s design, development and using safety. This paper conducted a study on fatigue properties of the most widely used joint at hoisting equipment-steel Q235 butt welded joint’s, based on the improved linear equivalent structural stress method, the stress of the weld joint can be obtained, and the master S-N curve of Q235 weld joint be acquired through fatigue test, thus the joints stress distribution under different stress environment can be gained through improved linear equivalent structural stress calculation and the fatigue life of the joint can be realized at the master S-N curve. The stress distribution situation and the fatigue life of butt welded joint can be calculated by integrated finite element software, this have profound reference significance to hoisting machinery industry.

The Fatigue Property Research of Steel Q345 Butt Welded Joint

2014 ◽  
Vol 692 ◽  
pp. 424-427
Author(s):  
Wei Ping Ouyang ◽  
Liang Sheng Chen ◽  
Xiu Dong Xu
Keyword(s):  
Finite Element ◽  
Stress Distribution ◽  
Finite Element Modeling ◽  
Significant Influence ◽  
Welded Joints ◽  
Welded Joint ◽  
Fatigue Property ◽  
Fracture Analysis ◽  
Fatigue Tests ◽  
Fatigue Properties

The fatigue property of the butt welded joint has significant influence to hoisting equipment’s design, manufacture and using safety for its extensive application. This paper conducted a study on the fatigue properties of a series of the most commonly used thickness steel Q345 butt welded joints. Through fatigue tests and fracture analysis, the fatigue pattern and fracture law of the joints were revealed. Combining with the finite element modeling, the all field stress distribution situation was obtained. This has profound reference significance to hoisting machinery research.

The Influence of HAZ on Fatigue Life of 16Mn Steel

2008 ◽  
Vol 44-46 ◽  
pp. 323-328
Author(s):  
Gang Chen ◽  
Xue Mei Luo ◽  
Xu Chen ◽  
Wei Hua Zhang
Keyword(s):  
Fatigue Life ◽  
Base Metal ◽  
Damage Evolution ◽  
Welded Joint ◽  
Peak Stress ◽  
Cyclic Fatigue ◽  
Fatigue Tests ◽  
Fatigue Properties ◽  
Decline Curves ◽  
16Mn Steel

In order to understand the influence of Heat-Affected Zone (HAZ) on fatigue properties of 16Mn steel, a series of cyclic torsional tests were conducted on 16Mn weld metal, the base metal, and the HAZ metal. The specimens of 2mm diameter were uniformly-spaced taken from a bulk 16Mn plate, which included a V-style welded joint in the center, and the space for each specimen was 4mm. From cyclic fatigue tests performed on specimens at different positions, one can observe that the fatigue damage evolution in the HAZ is faster than those in the weld and the base metal, i.e., HAZ has a significant effect on fatigue life of 16Mn. In addition, the peak stress decline curves of HAZ specimens in different rows are considerably diversified, but the damage evolution and fatigue properties of HAZ metal are similar in spite of their locations.

Thermal Stress and Thermal Cycling Analyses of Microgyroscope Chip Models

2011 ◽  
Vol 462-463 ◽  
pp. 622-627 ◽  
Author(s):  
Meng Kao Yeh ◽  
Chun Lin Lu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Thermal Stress ◽  
Fatigue Life ◽  
Stress Distribution ◽  
Thermal Fatigue ◽  
Simplified Model ◽  
The Finite Element Method ◽  
Nonlinear Analyses ◽  
Thermal Fatigue Life

The thermal stress and thermal fatigue life for three different microgyroscope chip models were investigated in this paper. The deformation and stress distribution in chip, at interface between microgyroscope and chip, and in the spring of microgyroscope were obtained for three different microgyroscope chip models by the finite element method. The results show that for the simplified model, no obvious differences from linear or nonlinear analyses are obtained and the fatigue life of microgyroscope chip can be predicted with the properly simplified model. Also, the model having the same process in fabricating microgyroscope and carrier has better reliability. This paper provides an effective method for the reliability analysis of microgyroscope chip.

Master S-N Curve-Based Fatigue Life Assessment of Steel Bridges Using Finite Element Model and Field Monitoring Data

2018 ◽  
Vol 19 (01) ◽  
pp. 1940013 ◽  
Author(s):  
X. W. Ye ◽  
Y. H. Su ◽  
T. Jin ◽  
B. Chen ◽  
J. P. Han
Keyword(s):  
Finite Element ◽  
Fatigue Life ◽  
Welded Joint ◽  
Element Model ◽  
Field Monitoring ◽  
Life Assessment ◽  
Monitoring Data ◽  
Steel Bridge ◽  
Structural Stress ◽  
Fatigue Life Assessment

The accuracy of fatigue life assessment for the welded joint in a steel bridge is largely dependent on an appropriate [Formula: see text]-[Formula: see text] curve. In this paper, a master [Formula: see text]-[Formula: see text] curve-based fatigue life assessment approach for the welded joint with an open-rib in orthotropic steel bridge deck is proposed based on the finite element model (FEM) and field monitoring data from structural health monitoring (SHM) system. The case studies on fatigue life assessment by use of finite element analysis (FEA) for constant-amplitude cyclic loading mode and field monitoring data under variable-amplitude cyclic loading mode are addressed. In the case of FEA, the distribution of structural stress at fatigue-prone weld toe is achieved using 4-node shell element model and then transformed into equivalent structural stress by fracture mechanics theory. The fatigue life of the welded joint is estimated with a single master [Formula: see text]-[Formula: see text] curve in the form of equivalent structural stress range versus the cycles to failure. In the case of monitoring data-based fatigue life assessment, the daily history of structural stress at diaphragm to U-rib is derived from the raw strain data measured by the instrumented fiber Bragg grating (FBG) sensors and transformed into equivalent structural stress. The fatigue life of the investigated welded joint is calculated by cyclic counting method and Palmgren–Miner linear damage cumulative rule. The master [Formula: see text]-[Formula: see text] curve method provides an effective fatigue life assessment process, especially when the nominal stress is hard to be defined. A single master [Formula: see text]-[Formula: see text] curve will facilitate to solve the difficulty in choosing a proper [Formula: see text]-[Formula: see text] curve which is required in the traditional fatigue life assessment methods.

Local Fatigue Properties of Al-Zn-Mg Alloy Welded Joint

2012 ◽  
Vol 468-471 ◽  
pp. 2010-2013
Author(s):  
Liang Zhang ◽  
Xue Song Liu ◽  
Lin Sen Wang ◽  
Zi Qi Ma ◽  
Hong Yuan Fang
Keyword(s):  
Fatigue Life ◽  
Yield Strength ◽  
Aluminium Alloy ◽  
Welded Joint ◽  
Fatigue Tests ◽  
Mg Alloy ◽  
Fatigue Properties ◽  
Notched Specimens ◽  
The Difference ◽  
Mechanical Performances

Local tensile properties and fatigue properties of Al-Zn-Mg alloy welded joint were investigated. Experiment results show that A7N01 aluminium alloy welded joint is highly inhomogenous both in microstructure and mechanical performances. Ultimate tensile strength and yield strength of base metal are superior compared to HAZ and weld metal. U-shape notched specimens were used in fatigue tests to study local fatigue properties of the joint. Fatigue tests results demonstrate that the difference of local fatigue life is conspicuous in the three regions. The difference of yield strength is believed to result from the diversity of fatigue life for each region in A7N01 aluminium alloy welded joint.

A Hybrid Supervised Deep Learning and Nonlinear Finite Element Framework for Efficient Fatigue Life Predictions of Rotary Shouldered Threaded Connections

2020 ◽  
Author(s):  
Fei Song ◽  
Ke Li
Keyword(s):  
Finite Element ◽  
Deep Learning ◽  
Fatigue Life ◽  
Learning Algorithm ◽  
Fatigue Tests ◽  
Full Scale ◽  
Remaining Useful Life ◽  
Nonlinear Finite Element ◽  
Threaded Connections ◽  
Life Predictions

Abstract In this paper, a hybrid computational framework that combines the state-of-the art machine learning algorithm (i.e., deep neural network) and nonlinear finite element analysis for efficient and accurate fatigue life prediction of rotary shouldered threaded connections is presented. Specifically, a large set of simulation data from nonlinear FEA, along with a small set of experimental data from full-scale fatigue tests, constitutes the dataset required for training and testing of a fast-loop predictive model that could cover most commonly used rotary shouldered connections. Feature engineering was first performed to explore the compressed feature space to be used to represent the data. An ensemble deep learning algorithm was then developed to learn the underlying pattern, and hyperparameter tuning techniques were employed to select the learning model that provides the best mapping, between the features and the fatigue strength of the connections. The resulting fatigue life predictions were found to agree favorably well with the experimental results from full-scale bending fatigue tests and field operational data. This newly developed hybrid modeling framework paves a new way to realtime predicting the remaining useful life of rotary shouldered threaded connections for prognostic health management of the drilling equipment.

Sign in / Sign up

Export Citation Format

Share Document