طراحی بهینه شبکه‌های جمع‌آوری سیلاب شهری با استفاده از الگوریتم ژنتیک تطبیقی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 عضو هیئت علمی/ دانشگاه گیلان - گروه مهندسی آب

2 استاد، گروه مهندسی عمران، دانشکده مهندسی، دانشگاه شهید چمران اهواز

3 دانشیار، گروه مهندسی عمران، دانشکده مهندسی، دانشگاه شهید چمران اهواز

چکیده

در این پژوهش برای طراحی بهینه شبکه­های جمع­آوری سیلاب شهری که از زیرساخت­های مهم و ضروری شهرها محسوب می­شوند، یک الگوریتم ژنتیک تطبیقی توسعه داده شد. برای بهره­گیری از ظرفیت ذخیره­سازی ذاتی شبکه، قید جریان با سطح آزاد با قید عدم سیل­گیری جایگزین و برای شبیه­سازی هیدرولیکی شبکه، از مدل SWMM 5.1 بهره­گیری شد. رویکرد پیشنهادی، یک روش طراحی بهینه مبتنی بر هیدروگراف است که در آن برای روندیابی جریان در مجاری شبکه از مدل موج کامل دینامیکی استفاده می­شود. روش پیشنهادی برای طراحی بهینه شبکه جمع­آوری سیلاب در منطقه کیانپارس شهر اهواز مورد استفاده قرار گرفت و نتایج آن با نتایج روش مرسوم )طراحی بهینه­ با قید جریان با سطح آزاد(، مقایسه شد. نتایج نشان داد که الگوریتم توسعه­داده شده از سرعت و راندمان بالایی برخوردار است. به­علاوه بهره­گیری از ظرفیت ذخیره­سازی ذاتی شبکه باعث شد تا هزینه ساخت جواب بهینه رویکرد پیشنهادی (885/474 میلیارد ریال) نسبت به هزینه جواب بهینه روش مرسوم (686/968 میلیارد ریال) به کمتر از نصف تقلیل یابد.

کلیدواژه‌ها

عنوان مقاله [English]

Optimal Design of Storm Sewer Networks Using Adaptive Genetic Algorithm

نویسندگان [English]

  • Sayyed Ali Moussavi 1
  • Hossein Mohammad Vali Samani 2
  • Ali Haghighi 3
1 Faculty member/University of guilan- Water engineering group
2 Professor, Civil Engineering Department, Faculty of Engineering, Shahid Chamran University of Ahvaz
3 Assistant Professor, Civil Engineering Department, Faculty of Engineering, Shahid Chamran University of Ahvaz
چکیده [English]

In this study for optimal design of storm sewer networks, as an essential urban infrastructure, an adaptive genetic algorithm was developed. In order to utilize the intrinsic storage capacity of the sewer network, the free surface flow constraint was replaced with a new constraint in which no surface flooding was allowed. Furthermore, for the hydraulic simulation of the candidate sewer network, the Storm Water Management Model (SWMM 5.1) was used. The proposed framework was a hydrograph-based optimal design method in which the full dynamic wave model was used for flow routing in the network conduits. The proposed approach was applied for the optimal design of Kianpars storm sewer network, a suburb of Ahvaz city, in Iran. The results were compared with those obtained by the conventional optimal design method (with free surface flow constraint). The comparison showed that the developed algorithm had a high speed and efficiency. Furthermore, the proposed framework (with optimal solution’s construction cost of 474.885 Billion Rials) by utilizing the intrinsic storage capacity of the network could reduce the network construction cost to less than a half of the conventional method cost (with optimal solution’s construction cost of 968.686 Billion Rials).

کلیدواژه‌ها [English]

  • Adaptive genetic algorithm
  • Constraint handling
  • Optimal design
  • optimization
  • Storm sewer network

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دانش آب و خاک
دوره 27، شماره 2
مرداد 1396
صفحه 171-183

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