| Autor: |
Raphael T. Haftka, Sriram Pattabhiraman, Nam Kim |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 18th AIAA/ASME/AHS Adaptive Structures Conference 12th. |
| DOI: |
10.2514/6.2010-2677 |
| Popis: |
In aircrafts, fuselage inspections are performed regularly to remove large damages that threaten the safety of the structure. Traditionally preventive inspections have been scheduled and performed leading to high costs over the lifecycle of an airplane. Recently, structural health monitoring techniques have been developed that uses sensors and actuators to detect damages on structures paving way for progressive inspection. In this paper, the cost effectiveness of progressive inspection over scheduled inspection is analyzed. The lifecycle of an airplane was modeled as blocks of damage propagation interspersed with inspection. The Paris model with random parameters is used to model damage growth, and detection probability during inspections is modeled by Palmberg expression. Monte Carlo Simulations delineate the process. SHM based progressive inspection are found to be 50% more cost effective than schedule-based preventive inspections. The sensitivity of the lifecycle cost to the inspection parameters has been studied. To accommodate critical panels which must be manually inspected, a hybrid model of inspection is also proposed. The hybrid model is found to have sufficient cost savings over scheduled inspection model. Nomenclature a = Half damage size p = Pressure differential t = Thickness of the fuselage r = Fuselage radius m = Paris Law exponent C = Paris Law constant ah-man = Palmberg parameter for manual inspection w man |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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