A probability transformation method (PTM) for the dynamic stochastic response of structures with non-Gaussian excitations. Issue 5 (2nd July 2018)

• Record Type: Journal Article
• Authors: Falsone, Giovanni; Laudani, Rossella
• Is Part Of: Engineering computations. Volume 35:Issue 5(2018)
• Page Start: 1978
• Page End: 1997
• Publication Date: 2018-07-02
• Subjects: Non-Gaussian response process -- Probability transformation method; Computer-aided engineering -- Periodicals; Computer graphics -- Periodicals; 620.00285
• DOI: 10.1108/EC-12-2017-0518
• Languages: English
• ISSNs: 0264-4401

Abstract

Abstract : Purpose: This paper aims to present an approach for the probabilistic characterization of the response of linear structural systems subjected to random time-dependent non-Gaussian actions. Design/methodology/approach: Its fundamental property is working directly on the probability density functions of the actions and responses. This avoids passing through the evaluation of the response statistical moments or cumulants, reducing the computational effort in a consistent measure. Findings: It is an efficient method, for both its computational effort and its accuracy, above all when the input and output processes are strongly non-Gaussian. Originality/value: This approach can be considered as a dynamic generalization of the probability transformation method recently used for static applications.