VoI-Based Optimization of Structural Assessment for Spatially Degrading RC Structures

Before implementing a bridge monitoring strategy, manager would like to know the return on investment. Moreover, in order spend available budget as efficiently possible, strategy should be optimized, i.e., type of measurements but also time and locations at which these are performed. For this purpose, Value Information (VoI) can used. The VoI represents an estimate benefit that gained from before it is actually implemented. By comparing different alternative strategies, one with highest selected. As such, tool for objective decision-making. calculation based pre-posterior analyses, including Bayesian updating model parameters yet unknown outcomes. When calculating actual case, some challenges arise. First, requires number assumptions input parameters. Second, computed by evaluating life-cycle costs possible outcomes leading high computational cost. However, practical implementations, results preferably within acceptable span robust respect chosen In work, implementation approach optimization strategies investigated problem statement case study where reinforced concrete girder considered. To perform optimization, compared. required data limited using Maximum A Posteriori (MAP) estimates approximate posterior distribution. used both optimize or comparison strategies. limit (computationally expensive) evaluations VoI, itself simplified determining optimal sensor beforehand, metric than VoI. information entropy used, expresses difference between prior uncertainty Finally, sensitivity investigated.