Prediction of Deflection and Stresses of Laminated Composite Plate with Artificial Neural Network Aid
نویسندگان
چکیده
منابع مشابه
Large amplitude vibration prediction of rectangular plates by an optimal artificial neural network (ANN)
In this paper, nonlinear equations of motion for laminated composite rectangular plates based on the first order shear deformation theory were derived. Using a perturbation method, the nonlinear equation of motion was solved and analytical relations were obtained for natural and nonlinear frequencies. After proving the validity of the obtained analytical relations, as an alternative and simple ...
متن کاملPREDICTION OF LOAD DEFLECTION BEHAVIOUR OF TWO WAY RC SLAB USING NEURAL NETWORK APPROACH
Reinforced concrete (RC) slabs exhibit complexities in their structural behavior under load due to the composite nature of the material and the multitude and variety of factors that affect such behavior. Current methods for determining the load-deflection behavior of reinforced concrete slabs are limited in scope and are mostly dependable on the results of experimental tests. In this study, an ...
متن کاملApplication of design of experiments and artificial neural networks for stacking sequence optimizations of laminated composite plates
This paper discusses the use of Distance based optimal designs in the design of experiments (DOE) and artificial neural networks (ANN) in optimizing the stacking sequence for simply supported laminated composite plate under uniformly distributed load (UDL) for minimizing the deflections and stresses. A number of finite element analyses have been carried out using Distance-based optimal design, ...
متن کاملPREDICTION OF BIAXIAL BENDING BEHAVIOR OF STEEL-CONCRETE COMPOSITE BEAM-COLUMNS BY ARTIFICIAL NEURAL NETWORK
In this study, the complex behavior of steel encased reinforced concrete (SRC) composite beam–columns in biaxial bending is predicted by multilayer perceptron neural network. For this purpose, the previously proposed nonlinear analysis model, mixed beam-column formulation, is verified with biaxial bending test results. Then a large set of benchmark frames is provided and P-Mx-My triaxial ...
متن کاملArtificial Neural Network Based Prediction Hardness of Al2024-Multiwall Carbon Nanotube Composite Prepared by Mechanical Alloying
In this study, artificial neural network was used to predict the microhardness of Al2024-multiwall carbon nanotube(MWCNT) composite prepared by mechanical alloying. Accordingly, the operational condition, i.e., the amount of reinforcement, ball to powder weight ratio, compaction pressure, milling time, time and temperature of sintering as well as vial speed were selected as independent input an...
متن کامل