دانلود گزارش کارورزی و کار آموزی

چکیده : 

This study proposes a new robust multi-objective maintenance planning approach of the deteriorating

bridges against uncertainty in performance degradation model. The main focus is to guarantee the performance

requirements of the bridge by the scheduled maintenance interventions even in the presence of

uncertainty in time-dependent performance degradation model. The uncertainties are modeled as the

perturbation of the system parameters. These are simulated by a sampling method, and incorporated into

the GA-based multi-objective optimization framework which produces a set of optimal preventive maintenance

scenarios. In order to focus the searching on the most preferable region, the performance models

of the bridge components are all integrated into single overall performance measure by using the preference-

based objective-space reduction method. Numerical example of a typical prestressed concrete girder

bridge is provided to demonstrate the new robust maintenance scheduling approach. For comparison

purpose, non-robust multi-objective maintenance planning without considering uncertainty of the

bridge performance is also provided. It is verified that the proposed approach can produce successfully-

performing maintenance scenarios under the perturbation of bridge condition grades while maintaining

well-balanced maintenance strategy both in terms of bridge performance and maintenance cost.