Design of a Corrosion Detection System for a Shelter Structure.

摘要

The location of sensors on a structure has a large impact on the success of any damage detection method. Heuristically placing many sensors on a structure does not guarantee damage will be detected. By design, optimally placed sensors specific to the structure, the number of sensors needed to detect damage can be limited [1]. This has many benefits including reducing data confusion, as well as minimizing the weight added to the structure. The US Army has stated technology gaps in monitoring items in both short and long term storage; this paper will focus on monitoring of the S-280 shelter. Since the US Army Aviation and Missile Research, Development, and Engineering Center (AMRDEC) Diagnostic Prognostic Lab (DPL) has a track record of applying optimal-sensor-placement-strategy to structures [2], the laboratory was tasked with designing a structural health monitoring (SHM) system to monitor a S-280 shelter. Optimal-sensor-placement-strategy, Optimized SHM has demonstrated 6-7 times the sensitivity with 50 percent fewer sensor than heuristically designed systems with the same design goals. The optimal-sensor-placement-strategy of the SHM was demonstrated to correlate with corrosion damage and corrosion damage growth; hence, corrosion detection addressing the storage monitoring gap by giving insight into the structural conditions of the shelter while in storage. Shelter maintainers claim that, if they know exactly where the corrosion is present, they would save ~30% during the reset process. The goal of this report is to show the process of optimally placing actuators and sensors to detect damage due to corrosion. While the original effort was to include field testing, the field testing did not occur due to a change in tasking; instead the effort implemented simulated damage in the Finite Element Model (FEM).