{'fraction_non_alphanumeric': 0.012298232129131437, 'fraction_numerical': 0.0, 'mean_word_length': 5.027777777777778, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Monitoring of fatigue damage in marine composites using image analysis

A primary goal of structural health monitoring is to provide information for prognosis i.e. to predict the time remaining before the structure needs servicing or replacement given the operational conditions. Materials such as woven glass-vinyl ester composites that are beginning to see use in large structural applications such as widebody aircraft and naval ships, can still withstand large loads and exhibit long fatigue lives after initial damage features are detectable in the material. Post et al. have shown that the Case-Riefsnider model has the ability to predict the life of these composites subjected to several fatigue loading scenarios. More accurate predictions of such material’s residual life or strength after damage may be possible if the current damage state is taken into account. In addition, the evolution of damage may indicate why in some cases the model does not provide conservative estimates of fatigue life. Specimens subjected to a variety of loading levels and R ratios are continuously monitored using digital video. The video is analyzed to objectively quantify the damage state. It is anticipated that this damage state can be used to further inform the model in order to update life predictions.