scholarly journals Virtual structural health monitoring and remaining life prediction of steel bridges

2017 ◽  
Vol 44 (4) ◽  
pp. 264-273 ◽  
Author(s):  
D. Hajializadeh ◽  
E.J. OBrien ◽  
A.J. O’Connor
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Life Prediction ◽  
Steel Bridges ◽  
Remaining Life ◽  
Structural Health

scholarly journals Incorporation of Structural Health Monitoring Coupled Data in Dynamic Extreme Stress Prediction of Steel Bridges Using Dynamic Coupled Linear Models

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xueping Fan ◽  
Zhipeng Shang ◽  
Guanghong Yang ◽  
Xiaoxiong Zhao ◽  
Yuefei Liu
Keyword(s):  
Time Series ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Linear Models ◽  
Steel Bridges ◽  
Steel Bridge ◽  
Structural Health ◽  
Extreme Stress ◽  
Stress Prediction ◽  
Bridge Reliability

In this article, an approach for using structural health monitoring coupled extreme stress data in dynamic extreme stress prediction of steel bridges is presented, where the coupled extreme stress data means the extreme stress data with dynamicity, randomness, and trend. Firstly, the modeling processes about dynamic coupled linear models (DCLM) are provided based on a supposed coupled time series; furthermore, the dynamic probabilistic recursion processes about DCLM are given with Bayes method; secondly, the monitoring dynamic coupled extreme stress data is taken as a time series, historical monitoring coupled extreme stress data-based DCLM and the corresponding Bayesian probabilistic recursion processes are given for predicting bridge extreme stresses; furthermore, the monitoring mechanism is provided for monitoring the prediction precision of DCLM; finally, the monitoring coupled extreme stress data of a steel bridge is used to illustrate the proposed approach which can provide the foundations for bridge reliability prediction and assessment.

scholarly journals Fatigue Life Prediction Using Hybrid Prognosis for Structural Health Monitoring

2014 ◽  
Vol 11 (4) ◽  
pp. 211-232 ◽  
Author(s):  
Rajesh Kumar Neerukatti ◽  
Kuang C. Liu ◽  
Narayan Kovvali ◽  
Aditi Chattopadhyay
Keyword(s):  
Fatigue Life ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Structural Health

Analysis of Aircraft Composite Structural Health Monitoring and Life Prediction Technology

2011 ◽  
Vol 88-89 ◽  
pp. 515-523
Author(s):  
Xiao Chuang Tao ◽  
Chen Lu
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Life Prediction ◽  
Health Management ◽  
Structure Design ◽  
Prognostics And Health Management ◽  
Aircraft Structure ◽  
Reliability Design ◽  
Structural Health ◽  
Critical Issues

Along with the constantly updated aircraft structure design, higher performance and reliability design indexes as well as usage of a large portion of new materials especially lightweight composite materials put forward higher requirements for aircraft structure safety. The damage detection, diagnosis, forecast and management become an important part of aircraft Prognostics and Health Management(PHM).In order to better build the Structural Prognostics and Health Management system of a new generation aircraft for the improvement of security, task reliability and economy, this paper introduced the development situation of aircraft composite structural health monitoring and life prediction technologies, classified the existing technologies, and then discussed the principle, quality point, applicability and application situation, finally, pointed out several critical issues which still need further study.

Long-term gage reliability for structural health monitoring of steel bridges

2012 ◽  
Author(s):  
Vasilis A. Samaras ◽  
Jeremiah Fasl ◽  
Matt Reichenbach ◽  
Todd Helwig ◽  
Sharon Wood ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Steel Bridges ◽  
Structural Health
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