scholarly journals Risk based bridge data collection and asset management and the role of structural health monitoring

2011 ◽  
Author(s):  
Piotr Omenzetter ◽  
Simon Bush ◽  
Theunis Henning ◽  
Peter McCarten
Keyword(s):  
Structural Health Monitoring ◽  
Data Collection ◽  
Health Monitoring ◽  
Asset Management ◽  
Structural Health

scholarly journals Value of Information of Structural Health Monitoring in Asset Management of Flood Defences

2019 ◽  
Vol 4 (3) ◽  
pp. 56 ◽  
Author(s):  
Wouter Jan Klerk ◽  
Timo Schweckendiek ◽  
Frank den Heijer ◽  
Matthijs Kok
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Asset Management ◽  
Value Of Information ◽  
Relative Magnitude ◽  
Practical Implementation ◽  
Structural Health ◽  
Monitoring Strategies ◽  
Efficient Measure ◽  
Flood Defence

One of the most rapidly emerging measures in infrastructure asset management is Structural Health Monitoring (SHM), which aims at reducing uncertainty in structural performance by using monitoring equipment. As earthen flood defence structures typically have large strength uncertainties, such techniques can be particularly promising. However, insight in the key characteristics for successful SHM for flood defences is lacking, which hampers the practical implementation. In this study, we explore the benefits of pore pressure monitoring, one of the most promising SHM techniques for earthen flood defences. The approach is based on a Bayesian pre-posterior analysis, and results are evaluated based on the Value of Information (VoI) obtained from different monitoring strategies. We specifically investigate the effect on long-term reinforcement decisions. The results show that, next to the relative magnitude of reducible uncertainty, the combination of the probability of having a useful observation and the duration of a SHM effort determine the VoI. As it is likely that increasing loads due to climate change will result in more frequent future reinforcements, the influence of scenarios of different rates of increase in future loads is also investigated. It was found that, in all considered possible scenarios, monitoring yields a positive Value of Information, hence it is an economically efficient measure for flood defence asset management both now and in the future.

scholarly journals The role of dynamic response parameters in damage prediction

2019 ◽  
Vol 233 (13) ◽  
pp. 4620-4636 ◽  
Author(s):  
Behzad Ahmed Zai ◽  
MA Khan ◽  
Kamran A Khan ◽  
Asif Mansoor ◽  
Aqueel Shah ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Dynamic Response ◽  
Health Monitoring ◽  
Structural Damage ◽  
Mode Shapes ◽  
Future Research ◽  
Modal Parameter ◽  
Structural Health ◽  
Structural Applications

This article presents a literature review of published methods for damage identification and prediction in mechanical structures. It discusses ways which can identify and predict structural damage from dynamic response parameters such as natural frequencies, mode shapes, and vibration amplitudes. There are many structural applications in which dynamic loads are coupled with thermal loads. Hence, a review on those methods, which have discussed structural damage under coupled loads, is also presented. Structural health monitoring with other techniques such as elastic wave propagation, wavelet transform, modal parameter, and artificial intelligence are also discussed. The published research is critically analyzed and the role of dynamic response parameters in structural health monitoring is discussed. The conclusion highlights the research gaps and future research direction.

Elevator-Assisted Sensor Data Collection for Structural Health Monitoring

2012 ◽  
Vol 11 (10) ◽  
pp. 1555-1568 ◽  
Author(s):  
Tao Zhang ◽  
Dan Wang ◽  
Jiannong Cao ◽  
Yi Qing Ni ◽  
Li-Jun Chen ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Data Collection ◽  
Health Monitoring ◽  
Sensor Data ◽  
Structural Health

Structural Health Monitoring System for The Queensferry Crossing

2018 ◽  
Author(s):  
Torben B. Bangsgaard ◽  
Henrik Gjelstrup ◽  
Andrew Scullion ◽  
Paul Faulkner
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Asset Management ◽  
Data Warehousing ◽  
Data Driven ◽  
Health Monitoring System ◽  
Structural Health ◽  
Cable Stayed Bridge ◽  
Structural Health Monitoring System

The Structural Health Monitoring System (SHMS) for the new Queensferry Crossing cable stayed bridge, Scotland include more than 1500 sensors combined to yield a world leading SHMS for data driven asset management making use of the latests technologies in data processesing and data warehousing.

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