Vehicle-induced fatigue damage prognosis of orthotropic steel decks of cable-stayed bridges

2020 ◽  
Vol 212 ◽  
pp. 110509
Author(s):  
Chuang Cui ◽  
You-Lin Xu ◽  
Qing-Hua Zhang ◽  
Feng-Yang Wang
Keyword(s):  
Fatigue Damage ◽  
Damage Prognosis ◽  
Orthotropic Steel Decks ◽  
Cable Stayed Bridges

Probabilistic fatigue damage prognosis using maximum entropy approach

2009 ◽  
Vol 23 (2) ◽  
pp. 163-171 ◽  
Author(s):  
Xuefei Guan ◽  
Ratneshwar Jha ◽  
Yongming Liu
Keyword(s):  
Maximum Entropy ◽  
Fatigue Damage ◽  
Damage Prognosis

A multidisciplinary approach to structural health monitoring and damage prognosis of aerospace hotspots

2009 ◽  
Vol 113 (1150) ◽  
pp. 799-810 ◽  
Author(s):  
A. Chattopadhyay ◽  
P. Peralta ◽  
A. Papandreou-Suppappola ◽  
N. Kovvali
Keyword(s):  
Real Time ◽  
Fatigue Damage ◽  
Health Monitoring ◽  
Stochastic Modelling ◽  
Guided Wave ◽  
Model Complexity ◽  
Damage Classification ◽  
Element Analysis ◽  
Time Frequency ◽  
Damage Prognosis

Abstract The health monitoring and damage prognosis of aerospace hotspots is important for reducing maintenance costs and increasing in-service capacity of aging aircraft. One of the leading causes of structural failure in aerospace vehicles is fatigue damage. Based on the physical mechanism of damage nucleation and growth, a physics-based multiscale model is considered for fatigue damage assessment in metallic aircraft structures. A guided-wave based sensing approach is utilised to enable effective damage detection in a common structural hotspot: a lug joint. Finite element analysis is carried out with piezoelectric wafers bonded to the host structure and the simulated sensor signals are analysed. A damage classification strategy is developed, which integrates physically motivated time-frequency approaches with advanced stochastic modelling techniques. In particular, a variational Bayesian learning scheme is used to estimate the optimal model complexity automatically from the data, adapting the classifier for real-time use. Classification performance is studied as a function of signal-to-noise ratio and results are reported for the detection of fatigue crack damage in the lug joint. An adaptive hybrid prognosis model is proposed, which estimates the residual useful life of structural hotspots using damage condition information obtained in real-time.

A Stochastic Collocation Method for Uncertainty Analysis of Fatigue Damage Prognosis

2013 ◽  
Vol 459 ◽  
pp. 479-484
Author(s):  
Li Jun Xie ◽  
He Sheng Tang ◽  
Song Tao Xue
Keyword(s):  
Monte Carlo ◽  
Collocation Method ◽  
Fatigue Damage ◽  
Collocation Point ◽  
Galerkin Approximation ◽  
Remaining Useful Life ◽  
Stochastic Collocation ◽  
Small Range ◽  
Stochastic Collocation Method ◽  
Damage Prognosis

This article proposes a stochastic collocation method to investigate the uncertainty quantification in fatigue damage prognosis where experimental data are limited and only interval bounds on uncertain parameters are given. The method derived from tensor-products or sparse grids consists in a Galerkin approximation in random space, requires the use of structured collocation point sets and naturally leads to the solution of uncoupled deterministic problems as in the Monte Carlo approach. The distribution of remaining useful life can be acquired by dividing each interval into several small parts and assuming the corresponding random variable obeys uniform distribution in the small range. Compared with Monte Carlo method and interval arithmetic, this approach is much more efficient, time-saving and gets more accurate predictions. An experimental investigation of fatigue life prediction of a metallic plate with a central crack is presented to demonstrate the efficiency and effectiveness of the proposed method.

Fatigue damage prognosis of steel bridges under traffic loading using a time-based crack growth method

2021 ◽  
Vol 237 ◽  
pp. 112162
Author(s):  
Yang Yu ◽  
Bianca Kurian ◽  
Wei Zhang ◽  
C.S. Cai ◽  
Yongming Liu
Keyword(s):  
Crack Growth ◽  
Fatigue Damage ◽  
Steel Bridges ◽  
Traffic Loading ◽  
Damage Prognosis ◽  
Growth Method

Probabilistic fatigue damage prognosis of lap joint using Bayesian updating

2014 ◽  
Vol 26 (8) ◽  
pp. 965-979 ◽  
Author(s):  
Tishun Peng ◽  
Jingjing He ◽  
Yibing Xiang ◽  
Yongming Liu ◽  
Abhinav Saxena ◽  
...  
Keyword(s):  
Fatigue Damage ◽  
Bayesian Updating ◽  
Lap Joint ◽  
Damage Prognosis
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