Game theory-based maximum likelihood method for finite-element-model updating of civil engineering structures

Finite element modelling is performed to numerically predict the behaviour of civil engineering structures. Due different assumptions adopted during phase, this initial model does not always reflect adequately actual structural behaviour. In context, results experimental dynamic properties can be used improve numerical via implementation so-called finite updating method. After process, updated better reflects its simplicity, for practical applications, process usually considering maximum likelihood According approach, problem may formulated as combination two sub-problems: (i) a bi-objective optimization sub-problem; and (ii) decision-making sub-problem. The function defined in terms residuals between modal properties. As method, nature-inspired computational algorithms have been considered due their high efficiency cope with non-linear problems. Despite extensive use, method presents main limitations: simulation time required compute Pareto optimal front; necessity solving subsequent decision making (the selection best solution among elements front). order overcome these limitations, paper game theory has tool performance process. For purpose, re-formulated three models: non-cooperative; cooperative; (iii) evolutionary. Finally, proposal assessed when it implemented laboratory footbridge. result study, shown up efficient under since allows direct estimation reducing without compromising accuracy result.