Incorporating defect specific condition indicators in a bridge life cycle analysis

Bridges are critical assets for the safe, reliable and functional operation of transportation networks. Infrastructure asset managers responsible ensuring that these bridges adhere to rigorous safety standards using finite resources available agencies. To facilitate strategy development present decisions stakeholders, a life cycle analysis is commonly performed. Many bridge owners use stochastic models calibrated condition records from visual examinations, however, typically report on single scale. In this study, defect specific scales utilised implement multiple indicators in modelling deterioration. These additional enable interactions between defects during Moreover, used different maintenance interventions providing scope quantitatively assess effects strategies favour early intervention. A deterioration model presented as dynamic Bayesian network, which metallic girders railway United Kingdom. Petri net then perform analysis, incorporates novel conditional approach utilise indicators.