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1- دانشگاه دریانوردی و علوم دریایی چابهار
2- دانشگاه صنعتی امیر کبیر
چکیده:   (174 مشاهده)
ارزیابی استحکام نهایی ورق‌های تقویت شده تشکیل‌دهنده سازه کشتی، اولین مرحله در ارزیابی استحکام نهایی آن است. باگذشت زمان و افزایش عمر سازه، خرابی‌هایی نظیر ایجاد ترک سبب کاهش ظرفیت باربری سازه کشتی می‌شوند. هدف اصلی این مقاله ارائه روشی مبتنی بر یادگیری ماشین با استفاده از الگوریتم برای محاسبه استحکام نهایی فشاری ورق‌های تقویت‌شده با خرابی ترک با استفاده از نتایج تحلیل‌های متعدد المان محدود است. برای دستیابی به بهترین نتایج ممکن از الگوریتم XGBoost، بخشی هایپرپارامترهای موجود در این الگوریتم با استفاده از روش بهینه‌سازی بیزین، بهینه شده است. نتایج حاصل از این روش نشان می‌دهد که دقت استفاده از الگوریتم بهینه شده XGBoostبسیار بالاتر از روش‌های متداول بر مبنای رگرسیون خطی است.
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نوع مطالعه: مقاله پژوهشي | موضوع مقاله: سازه کشتی
دریافت: 1401/2/30 | پذیرش: 1401/7/2

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