کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8061759 | 1520625 | 2018 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fatigue assessment method of marine structures subjected to two Gaussian random loads
ترجمه فارسی عنوان
روش اندازه گیری خستگی از سازه های دریایی تحت دو بار تصادفی گاوسی است
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
چکیده انگلیسی
Fatigue assessment is a critical issue for marine structures which usually encounter a combination load of a low frequency and a high frequency component. Furthermore, two components are commonly analyzed separately. In a strict sense, each of two components cannot be considered as narrowband processes. Recently, the authors proposed a combination of fatigue damage method (Han-Ma method) for predicting fatigue damage on the assumption of two well-separated and narrowband Gaussian components. The method is extended to non-narrowband and frequency overlapped cases in this paper. In addition, the application of existing combined spectrum method with dual narrow-banded correction factor (such as Jiao-Moan method, Low's bimodal method, Low-2014 method) and combination of fatigue damage method (such as DNV method, Huang-Moan method) is also investigated. These methods are also compared with some general wide-band spectral methods such as Dirlik method, single-moment method, Benasciutti-Tovo method and Park method. The results show that Jiao-Moan method, Low's bimodal method, Low-2014 method and Han-Ma method can still provide very accurate fatigue damage estimation when two Gaussian processes are separately non-narrowband and have overlapped frequencies. In particular, the accuracy of Low-2014 method and Han-Ma method is very close to that from some general spectral methods in the case that two Gaussian components have overlapped frequencies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Engineering - Volume 165, 1 October 2018, Pages 107-122
Journal: Ocean Engineering - Volume 165, 1 October 2018, Pages 107-122
نویسندگان
Yongliang Ma, Chaoshuai Han, Xianqiang Qu,