عنوان مقاله :
تعيين ابعاد بهينه جام پرتابي سدها با رويكرد شبيهسازي -بهينه سازي مطالعه موردي: سد جره
عنوان به زبان ديگر :
Determination of optimal dimensions of flip buckets by the simulationoptimization approach
Case Study: The Jareh Dam
پديد آورندگان :
عرب، موسي نويسنده دانشگاه شيراز,ايران , , نيكو، محمدرضا نويسنده دانشگاه شيراز,ايران , , افضلي، حسين نويسنده دانشكده مهندسي,دانشگاه شيراز,ايران ,
اطلاعات موجودي :
فصلنامه سال 1395
كليدواژه :
FLOW-3D , , جام پرتابي , شبكه عصبي مصنوعي , FLOW3D , استهلاك انرژي , الگوريتم ژنتيك
چكيده فارسي :
يكي از موضوعات مهم در مورد جامهاي پرتابي، تعيين ابعاد بهينه آنها در راستاي افزايش استهلاك انرژي جريان همراه با كاهش فشار ماكزيمم جريان برروي كف جام پرتابي ميباشد. در اين تحقيق، با تدوين يك متدولوژي جديد شبيهسازيبهينهسازي بر مبناي مدل بهينهسازي الگوريتم ژنتيك، مدل FLOW3D و مدل شبكه عصبي مصنوعي، ابعاد بهينه جام پرتابي مورد استفاده در انتهاي سرريز سدها تعيين گرديده است. هدف از تعيين ابعاد بهينه، محاسبه شعاع انحنا و همچنين زاويه انحراف جام پرتابي ميباشد، بهگونهاي كه حداكثر فشار هيدروديناميكي برروي جام، كمينه و ميزان استهلاك انرژي جت پرتابي بيشينه شود. برمبناي اين متدولوژي، پس از شبيهسازي مدل فيزيكي با نرمافزار FLOW3D و كاليبراسيون آن، برمبناي نتايج حاصل از مدل آزمايشگاهي جام پرتابي سد جره، جريان براي شعاعها و زواياي انحراف گوناگون شبيهسازي گرديده است. سپس بر اساس نتايج بدست آمده، يك فرامدل با استفاده از مدل شبكه عصبي مصنوعي، آموزش داده شده و صحت آن توسط بخشي از دادههايي كه در مرحله آموزش از آنها استفاده نشده بود، مورد ارزيابي قرار گرفته است. پس از تدوين فرامدل و اتصال آن به مدل بهينهسازي الگوريتم ژنتيك، ابعاد بهينه پرتابكننده تعيين گرديده است. نتايج بهدست آمده نشان داد كه ميزان استهلاك انرژي در جام پرتابي با ابعاد بهينه، پس از برخورد جت حدود 14 درصد افزايش يافته است.
چكيده لاتين :
Energy dissipation downstream of large dams is one of the most important concerns in the design procedure of dams. Flip buckets are employed whenever the velocity of flow at the downstream of the spillway is in excess of typically 20 m/s because of problems with stilling basins in terms of cavitation, abrasion and uplift. One of the most important issues in flip buckets is determining their optimal dimensions in order to increase the energy dissipation and reduce the maximum pressure on the surface of the flip bucket, simultaneously. Nowadays, the increasing computational power of computers to analyze complex problems, development of numerical modeling techniques and artificial intelligence models have caused them popular, in contrast with physical models which are often very time consuming and expensive. Hence, most of the researchers use these methods to analyze the complex engineering problems. In this research, by developing a new simulationoptimization methodology, the optimum dimensions of the flip bucket were determined based on the FLOW3D model, artificial neural network (ANN) model and Genetic Algorithm (GA) models. The aim of determining the optimum dimensions is to calculate the radius of curvature and also the deflection angle of the flip bucket such that the maximum pressure on the surface of the bucket be minimum and the relative energy dissipation be maximum. Based on this methodology, in the first, the flip bucket of the Jareh dam was simulated for different radii and deflection angles using Flow3D software. The calibration process was done in the basis of the experimental results which were obtained from the laboratory model. This laboratory model was built in the Water Research Institute of Tehran. Then, an artificial neural network (ANN) as a metamodel was trained using the maximum pressure on the surface of the bucket and the amount of energy dissipation after the impact of trajectory jet with the downstream channel bed. Then it was evaluated by the data that were not used during the training phase. The ability of this metamodel is to predict the values of the maximum pressure on the surface of the flip bucket and the amount of energy dissipation after the impact of trajectory jet with the downstream channel bed for different dimensions of flip bucket. Then by combining this neural network metamodel, with the genetic algorithm (GA) optimization model, the optimum dimensions of the mentioned flip bucket were determined. The optimum dimensions of flip bucket based on the mentioned objectives were found to be equal to the radius of 14 meters (0.28 m at physical model) and angle of 44.5 degrees. The results showed that despite the reduction of dimensions compared to the original size of flip bucket, the rate of energy dissipation has been increased (about 14% for the PMF flow).
عنوان نشريه :
مهندسي عمران مدرس
عنوان نشريه :
مهندسي عمران مدرس
اطلاعات موجودي :
فصلنامه با شماره پیاپی سال 1395
كلمات كليدي :
#تست#آزمون###امتحان