On dependencies in value of information analysis for structural integrity management

Author(s):  
K. Ali ◽  
J. Qin ◽  
M.H. Faber
Author(s):  
Wei-Heng Zhang ◽  
Da-Gang Lu ◽  
Jianjun Qin ◽  
Sebastian Thöns ◽  
Michael Havbro Faber

AbstractThe concept of Value of Information (VoI) has attracted significant attentions within the civil engineering community over especially the last decade. Triggered by the increasing focus on structural health monitoring, availability of data and emerging techniques of Big Data analysis and Artificial Intelligence, important insights on how to take benefit from VoI in structural integrity management have been gained. This literature review starts out with a summary of the historical developments and contains (1) a summary of two different VoI analysis origins, (2) a compilation of existing VoI analyses research and (3) current engineering interpretations and applications of VoI in the field of civil and infrastructure engineering. VoI analysis has roots in communication theory and Bayesian decision analysis in conjunction with utility theory. Starting point is thus taken in brief introduction of these theoretical foundations, followed by a discussion on the relevant modelling aspects such as information, probability and utility modelling. A detailed review of relevant existing research is presented, divided into the following main areas: computational methods, optimal sensor placement and engineering risk management. Finally, by way of conclusion and outlook, challenges and some promising directions for VoI analysis in the field of civil and infrastructure engineering are identified.


2021 ◽  
Vol 38 (1) ◽  
pp. 36-58
Author(s):  
Domenic Di Francesco ◽  
Marios Chryssanthopoulos ◽  
Michael Havbro Faber ◽  
Ujjwal Bharadwaj

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Gert J. van der Wilt ◽  
Janneke P. C. Grutters ◽  
Angela H. E. M. Maas ◽  
Herbert J. A. Rolden

Author(s):  
Dominik Skokandić ◽  
Ana Mandić Ivanković ◽  
Aleš Žnidarič ◽  
Sebastian Thöns

<p>Implementation of Bridge weigh-in-motion (B-WIM) measurements and probabilistic approaches in bridge assessment may reveal hidden bridge reserves and changes in reliability levels over their projected service life, providing a key input for optimized bridge management. But, as scientists and engineers and at the same time vendors of our own ideas, we need to be in position to present the results of our sophisticated methods and algorithms, expressed mostly in terms of safety or reliability indexes, probabilities of failures and similar indicators, with expected monetary savings which are decisive for an owner or an investor.</p><p>In previous research, as presented at the COST TU1402 special session in Nantes 2018, in order to define the optimal management bridge strategy, a decision tree encompassing three B-WIM strategies (no B-WIM, short term B-WIM, long term B-WIM), two possible activities (no action, bridge repair/strengthening) and two possible outcomes (bridge is safe, bridge may experience failure) have been formulated.</p><p>In this paper, a further development of the decision and Value of B-WIM Information analysis in the context of assessing road bridges are discussed.</p><p>The focus in the present paper is directed on a detailed assessment and modelling of costs, benefits and associated indicators related to the probability of bridge failure. Costs required for the Value of Information analysis encompass: (i) the initial cost of the new bridge CBV, (ii) direct costs of bridge repair/strengthening <i>C</i>rep, (iii) indirect costs of bridge non-availability due to repair measures <i>C</i>N/A, and costs of B-WIM measurements (iv) <i>C</i>B-WIM,1 and (v) <i>C</i>B-WIM 2, applying short- or long-term monitoring respectively.</p>


2019 ◽  
Vol 252 ◽  
pp. 113436 ◽  
Author(s):  
Geetartha Dutta ◽  
Tapan Mukerji ◽  
Jo Eidsvik

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