Polynomial Correlated Function Expansion for Nonlinear Stochastic Dynamic Analysis
Author:
Affiliation:
1. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India (corresponding author).
2. Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0000855
Reference55 articles.
1. Alibrandi U. (2011). “A response surface method for nonlinear stochastic dynamic analysis.” Proc. 11th Int. Conf. on Applications of Statistics and Probability in Civil Engineering ETH Zurich Switzerland 1–7.
2. A gradient-free method for determining the design point in nonlinear stochastic dynamic analysis
3. Alibrandi U. Di Paola M. and Ricciardi G. (2007). “Path integral solution solved by the kernel density maximum entropy approach.” Proc. Int. Symp. on Recent Advances in Mechanics Dynamical Systems and Probability Theory Patron Editore Granarolo Italy.
4. A neural network approach for simulating stationary stochastic processes
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