منابع مشابه
MULTI-OBJECTIVE OPTIMIZATION OF ARCH DAMS USING DIFFERENTIAL EVOLUTION METHODS
For optimization of real-world arch dams, it is unavoidable to consider two or more conflicting objectives. This paper employs two multi-objective differential evolution algorithms (MoDE) in combination of a parallel working MATLAB-APDL code to obtain a set of Pareto solutions for optimal shape of arch dams. Full dam-reservoir interaction subjected to seismic loading is considered. A benchmark ...
متن کاملOPTIMUM DESIGN OF ARCH DAMS FOR FREQUENCY LIMITATIONS
An efficient methodology is proposed to find optimal shape of arch dams on the basis of constrained natural frequencies. The optimization is carried out by virtual sub population (VSP) evolutionary algorithm employing real values of design variables. In order to reduce the computational cost of the optimization process, the arch dam natural frequencies are predicted by properly trained back pro...
متن کاملMulti-objective Optimization of Arch Dams Using Differential Evolution Methods
For optimization of real-world arch dams, it is unavoidable to consider two or more conflicting objectives. This paper employs two multi-objective differential evolution algorithms (MoDE) in combination of a parallel working MATLAB-APDL code to obtain a set of Pareto solutions for optimal shape of arch dams. Full dam-reservoir interaction subjected to seismic loading is considered. A benchmark ...
متن کاملOptimum Design Program for Shape of Arch Dams
This paper presents an applicable and practical computer program(ODPSAD) and suggests a new algorithm for geometry of concrete arch dams. In this program shape optimization of arch dams for static and dynamic loads and enhancement of its seismic behaviour is carried out. abutment excavation and dam body volumes have been considered as the objective function and in order to increase the consiste...
متن کاملOptimum Design of Arch Dams for Frequency Limitations
An efficient methodology is proposed to find optimal shape of arch dams on the basis of constrained natural frequencies. The optimization is carried out by virtual sub population (VSP) evolutionary algorithm employing real values of design variables. In order to reduce the computational cost of the optimization process, the arch dam natural frequencies are predicted by properly trained back pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Japan Society of Civil Engineers
سال: 1972
ISSN: 1884-4936,0385-5392
DOI: 10.2208/jscej1969.1972.207_37