An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Architecture,Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s11709-017-0440-8/fulltext.html
Reference32 articles.
1. Khaji N, Zakian P. Uncertainty analysis of elastostatic problems incorporating a new hybrid stochastic-spectral finite element method. Mechanics of Advanced Materials and Structures, 2017, 24(12): 1030–1042
2. Zakian P, Khaji N, Kaveh A. Graph theoretical methods for efficient stochastic finite element analysis of structures. Computers & Structures, 2017, 178: 29–46
3. Salavati M. Approximation of structural damping and input excitation force. Front. Struct. Civ. Eng., 2017, 11(2): 244–254
4. Clouteau D, Savin E, Aubry D. Stochastic Simulations in Dynamic Soil–Structure Interaction. Meccanica, 2001, 36(4): 379–399
5. Ghiocel D, Ghanem R. Stochastic Finite-Element Analysis of Seismic Soil–Structure Interaction. Journal of Engineering Mechanics, 2002, 128(1): 66–77
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