توسعه یک مدل عصبی
خودبازگشتی برای تحلیل تاریخچه زمانی سیستم سد قوسی و مخزن
8 صفحه PDF به زبان انگلیسی
عنوان:Development
of a Neural-Autoregressive Model for Time History Analysis of an Arch Dam-Reservoir
System
ارائه شده در دهمین
کنفرانس بین المللی مهندسی عمران
نویسندگان: دکتر رضا تاری
نژاد، مهندس حامد محجوب، مهندس آرمان روشن روان - زبان مقاله: انگلیسی
چکیده مقاله:
Time history analysis of
arch dams using numerical methods such as finite element analysis is a
complicated and time consuming procedure. Such analysis can be more complicated
when it is needed to take the effect of reservoir interaction into account. In
this study a nonlinear autoregressive with exogenous inputs (NARX) neural network
(NN) which is called “NARX-NN” is used for modeling the seismic behavior of an
arch dam. The Karun IV arch dam-reservoir system is selected for numerical and
neural modeling. To
develop a proper NARX-NN model, first, the arch dam-reservoir system is numerically
analyzed under a special excitation by finite element analysis for collecting
the required data to be used in the training phase of the neural modeling. Then
the trained neural model is used to verify with new inputs i.e. real
accelerations. The verification outputs of the neural model which are the
responses of the arch dam body are compared with those obtained from the
numerical analysis. The obtained results indicate good agreement between
proposed model and finite element model outputs. The main advantages of the
proposed method are the time of the analysis which can be significantly reduced
and the acceptable precision in the
modeling results
برچسب ها:
توسعه یک مدل عصبی خودبازگشتی تحلیل تاریخچه زمانی سیستم سد قوسی و مخزن سیستم سد قوسی و مخزن سیستم سد قوسی سد مخزنی تحلیل تاریخچه زمانی شبکه عصبی NARX سیستم سد مخزن سد قوسی ANN