کاربرد برنامه‌ریزی بیان ژن و رگرسیون غیرخطی در تعیین هندسه شکافت و جریان بیشینه حاصل از شکست سدخاکی به‌کمک داده‌های آزمایشگاهی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه مهندسی عمران، واحد ورزقان، دانشگاه آزاد اسلامی، ورزقان، ایران.

2 استاد، گروه مهندسی آب، قطب علمی هیدروانفورماتیک، دانشکده مهندسی عمران، دانشگاه تبریز، تبریز، ایران و استاد، مهندسین مشاور فرازآب، تبریز، ایران

3 استاد، گروه مهندسی آب، دانشگاه صنعتی اصفهان، اصفهان، ایران.

4 دانشیار، دانشکده مهندسی عمران، دانشگاه تبریز، تبریز، ایران.

5 استادیار، گروه مهندسی عمران، دانشگاه بناب، بناب، ایران.

چکیده

شکست یک سد خاکی می‌تواند موجب بروز بحرآن‌های شدید در ناحیه‌ سیلاب‌زده پایین‌دست گردد. لذا تعیین دقیق ویژگی‌های شکافت و جریان در ارزیابی خطرهای حاصل از خرابی سد از اهمیت به‌سزایی برخوردار است. در این تحقیق از مدل‌های آزمایشگاهی با مصالح دآنهای در اندازه و خصوصیت‌های مکانیکی مختلف برای مطالعه فرسایش و نقش آن در گسترش هندسی شکافت استفاده شده است. از رگرسیون چندمتغیره در توسعه رابطه جدید برای تعیین دبی اوج (Qp) بهره‌گیری شده که در آن پراسنجه‌های بدنه سد در کنار پراسنجه‌های هیدرولیکی به‌کار رفته‌اند. نتیجه‌ها نشان می‌دهد مشارکت این ویژگی‌ها توانسته کارآیی را در تعیین Qp حاصل از شکست سد خاکی ارتقا دهد. از آنجائی‌که نرخ تکامل عرض متوسط شکافت (Bave) و عمق آن (Hb) نقش اثرگذاری بر آب‌نمود خروجی دارد، علاوه بر ارائه رابطه‌های جدید برای این دو پراسنجه، با مشارکت منابع مختلف داده‌ای و استفاده از برنامه‌ریزی بیان ژن (GEP) در تعیین آن، محدوده تغییرات جدیدی برای نسبت‌های بی‌بعد Hb بر ارتفاع سد (Hd) و نیز Bave بر عرض بالایی (Bt) و پایینی آن (Bb) معرفی و خروجی آن به سدهای لغزشی نیز بسط داده شده است. بر مبنای شاخص‌های عملکردی و آماری در رابطه‌ها، مقدارهای ضریب R2 برای Qp معادل با 91/0، برای Bave معادل با 99/0 و برای Hb برابر با 97/0 به‌دست آمده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Application of Gene Expression Programming and Nonlinear Regression in Determining Breach Geometry and Peak Discharge Resulting from Embankment Failure Using Laboratory Data

نویسندگان [English]

  • Kamran Kouzehgar 1
  • Yousef Hassanzadeh 2
  • Saeid Eslamian 3
  • Mikaeil Yousefzadeh Fard 4
  • Alireza Babaeian Amini 5
1 Assistant Professor, Department of Civil Engineering, Varzeghan Branch, Islamic Azad University, Varzeghan, Iran
2 Professor, Department of Water Engineering, Center of Excellence in Hydroinformatics, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran. & Professor, Farazab Consulting Engineers Co., Tabriz, Iran
3 Professor, Department of Water Engineering, Isfahan University of Technology, Isfahan, Iran .
4 Associate Professor, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
5 Assistant Professor, Faculty of Civil Engineering, University of Bonab, Bonab, Iran.
چکیده [English]

Accurate prediction of dam breach parameters in embankment dams is an essential step in the risk management plan. Overtopping and piping are the leading causes of embankment failure in the world. The failure of this type of dam is typically proposed by hydrological and hydraulic computational models of the dam (Wahl, 1998). The relationships for assessing the breach and flow characteristics are generally obtained by artificial intelligence and regression analysis from case studies of historical dam failure. These models relate the input parameters such as the dam height (Hw) and the flow volume through the breach (Vw) to the observed breach parameters resulting from the actual failures. Several relationships have been proposed to calculate Qp as a function of Hw and Vw (De Lorenzo & Macchione, 2014; Hagen, 1982; Kirkpatrick, 1977; Singh & Snorrason, 1984; Hakimzadeh et al., 2014). Downstream sediment transport studies show that breach geometry directly affects the output hydrograph. Investigations on historical records for Qp determination show that Hw and Vw could provide more accurate results than El and Ew. Moreover, the combination of these parameters significantly increases computational accuracy (Thornton et al., 2011; Wang et al., 2018). Several laboratory and field studies have been performed to investigate the hydraulic properties of the breach and the output hydrograph in overtopping failure cases (Dhiman & Patra, 2017; Sadeghi et al., 2020; Vaskinn et al., 2004). Determination of the average breach width (Bave) is an essential factor in determining progressive erosion (Von Thun & Gillette, 1990; Froehlich, 1995) as well as the height of breach (Hb). The range of variation in Bave as a function of the dam height (Hd) is an important issue in the breach lateral evolution process (Johnson & Illes, 1976; Singh & Snorrason, 1984).

کلیدواژه‌ها [English]

  • Mathematical model
  • Experimental Relations
  • Evolutionary algorithm
  • Nonlinear Regression
  • Breach characteristics
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