نشریه علمی سازه و فولاد

نشریه علمی سازه و فولاد

بهینه‌سازی ظرفیت برشی تیرهای ساخته‌شده از مقاطع دوبل ناودانی فولادی سردنوردشده با بازشو در جان

نوع مقاله : مقاله پژوهشی

نویسندگان
1 عضو هیئت علمی گروه فنی و مهندسی، واحد آستارا، دانشگاه آزاد اسلامی، آستارا، ایران
2 دانشگاه علم و فرهنگ
چکیده
تمایل به استفاده از اعضای سرد نوردشدۀ سبک با کاربرد‌های متعدد درحال افزایش است. اجرای بازشوها در جان برای عبور تأسیسات ساختمانی به‌ویژه در نواحی تکیه‌گاهی، از اهمیت ویژه‌ای برخوردار است. هدف از این پژوهش ارزیابی ظرفیت برشی نهایی تیرهای با فولاد سرد نوردشده با بازشدگی در جان است. تیرهایی به طول ۱۰۰۰ میلی‌متر به‌صورت مقاطع Iشکل، متشکل از دوبل Cشکل تحت بارگذاری سه‌نقطه‌ای در یک تحلیل غیرخطی با پارامترهای مختلف و رفتار غیرالاستیک مصالح با استفاده از نرم‌افزار المان محدود مدل‌‌‌سازی شد. صحت‌سنجی مدل المان محدود با تکیه بر نتایج آزمایشگاهی موجود در مراجع معتبر، انجام پذیرفت. پارامترهای ‌‌مورد نظر در این مدل‌سازی و قیود طراحی در فرآیند بهینه‌سازی ابعاد و شکل سوراخ، ضخامت مقطع، حضور لبه و بدون لبه در مقاطع و فاصلۀ بازشدگی‌ها از تکیه‌گاه است. در این تحقیق، از روش ترکیبی شبکۀ عصبی-الگوریتم ژنتیک (NSGA-II) که یک الگوریتم بهینه‌سازی چندهدفه است، برای بهینه‌سازی دو هدف بار ماکزیمم و جرم مینیممم به‌کار برده شده است. خروجی مدل‌های اجزای محدود (بار ماکزیمم) به‌عنوان ورودی در شبکۀ عصبی برای آموزش و طراحی و خروجی‌های شبکۀ عصبی به‌عنوان تابع هدف انتخاب شدند. نتایج نشان می‌دهد اختلاف بار نهایی حاصل از آنالیز المان محدود و الگوریتم ژنتیک، حداکثر ۴/۱۸٪ است. در این تحقیق، چارچوب ترکیبی ارائه‌شده (FEM-ANN-GA)، امکان انتخاب بهینه‌ترین مشخصات سوراخ جان را از میان جواب‌های پارتو، با درنظرگیری هم‌زمان مقاومت و وزن، فراهم می‌کند. بررسی مقاومت برشی، نشان می‌دهد سوراخ مستطیل‌شکل حدود ۴% و سوراخ دایره‌ای حدود ۷٪ بهتر از سوراخ مربع عمل می‌کنند.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Optimization of Shear Capacity in Cold-Formed Steel Double Channel Beams with Web Openings

نویسندگان English

Nastaran Hosseinjani 1
Hossein Parastesh 2
1 Department of Civil Engineering, As.C. Islamic Azad University, Astara, Iran
2 Associate Professor, Civil Engineering Department, University of Science and Culture, Tehran, Iran
چکیده English

The use of lightweight cold-formed steel members with versatile applications is increasing. Implementing web openings for building services passage, especially in support zones, is particularly important. This research aims to evaluate the ultimate shear capacity of cold-formed steel beams with web openings. I-shaped beams, 1000 mm in length, composed of back-to-back C-sections were modeled for nonlinear analysis under three-point loading using finite element software, considering various parameters and material non-elastic behavior. The finite element model was validated based on existing experimental results from reliable sources. Key parameters in this modeling and design constraints for optimizing hole dimensions and shape included section thickness, the presence or absence of lips on the sections, and the distance of the openings from the support. This study employed a hybrid Neural Network-Genetic Algorithm (NSGA-II), a multi-objective optimization algorithm, to optimize the two objectives of maximum load and minimum mass. The outputs from the finite element models (maximum load) served as input for neural network training and design, and the neural network outputs were selected as the objective function. Results show a maximum difference of 4.18% between the ultimate load from finite element analysis and the genetic algorithm. In this research presented hybrid framework (FEM-ANN-GA) enables the selection of the optimal web opening specifications from the Pareto solutions, while simultaneously considering both strength and weight. The shear resistance investigation reveals that rectangular openings perform approximately 4% better, and circular openings about 7% better than square openings.

کلیدواژه‌ها English

Cold-Formed Steel
Optimization
Genetic Algorithm
Pareto Front
Artificial Neural Network
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  • تاریخ دریافت 25 آبان 1404
  • تاریخ بازنگری 05 دی 1404
  • تاریخ پذیرش 17 دی 1404
  • تاریخ اولین انتشار 18 دی 1404
  • تاریخ انتشار 18 دی 1404