طراحی بهینه شبکه‌های جمع‌آوری فاضلاب ثقلی با روش اتوماتای سلولی انعطاف‌پذیر

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران

2 دانشجوی دکترای مهندسی آب، دانشگاه علم و صنعت ایران، تهران

چکیده

تحقیق حاضر مبتنی بر ارائه روش بهینه‌سازی با الگوریتم اتوماتای سلولی انعطاف‌پذیر برای طراحی شبکه‌های فاضلاب است. به‌منظور طراحی بهینه شبکه فاضلاب لازم است که مقادیر قطر و عمق کارگذاری دو سر لوله‌ها به گونه‌ای تعیین شود که هزینه ساخت شبکه با توجه به قیود و محدودیتهای مربوطه حداقل شود. در این تحقیق، گره‌های شبکه به‌عنوان سلول و عمق کارگذاری دو سر هر لوله به‌عنوان حالت سلول در نظر گرفته شد و منظور از همسایگی نیز لوله‌های اطراف هر سلول است. با در نظر گرفتن عمق کارگذاری دو سر هر لوله به‌عنوان متغیر تصمیم، روش پیشنهادی به‌صورت یک روش عمومی و انعطاف‌پذیر، امکان طراحی بهینه شبکه فاضلاب را هم به‌صورت ثقلی و هم پمپدار فراهم می‌کند. قابلیت‌های مدل ارائه شده برای طراحی شبکه فاضلاب ثقلی در دو مسئله نمونه بررسی و نتایج حاصل از آن با روشهای دیگری مانند الگوریتم‌های ژنتیک، اتوماتای سلولی، جامعه مورچگان و هوش تجمعی ذرات مقایسه شد و نتایج خوب و قابل قبولی حاصل شد.

کلیدواژه‌ها


عنوان مقاله [English]

Optimal Design of Gravitational Sewer Networks with General Cellular Automata

نویسندگان [English]

  • Mohammad Hadi Afshar 1
  • Maryam Rohani 2
1 Assoc. Prof., Dept. of Civil Eng., Iran University of Science and Tech., Tehran
2 Ph.D. Student of Water Eng., Iran University of Science and Tech., Tehran
چکیده [English]

In this paper, a Cellular Automata method is applied for the optimal design of sewer networks. The solution of sewer network optimization problems requires the determination of pipe diameters and average pipe cover depths, minimizing the total cost of the sewer network subject to operational constraints. In this paper, the network nodes and upstream and downstream pipe cover depths are considered as CA cells and cell states, respectively, and the links around each cell are taken into account as neighborhood. The proposed method is a general and flexible method for the optimization of sewer networks as it can be used to optimally design both gravity and pumped network due to the use of pipe nodal cover depths as the decision variables. The proposed method is tested against two  gravitational sewer networks and the  comparison of results with other methods such as  Genetic algorithm, Cellular Automata, Ant Colony Optimization Algorithm and Particle Swarm Optimization show the efficiency and effectiveness of the proposed method.

کلیدواژه‌ها [English]

  • Cellular Automata Algorithm
  • Sewer Network Design
  • optimization methods
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