Probability-Based Approach for Inverse Stochastic Structural Problems

Autor:	Rossella Laudani, Giovanni Falsone
Rok vydání:	2023
Předmět:	Mechanics of Materials Mechanical Engineering General Materials Science
Zdroj:	International Journal of Applied Mechanics.
ISSN:	1758-826X 1758-8251
DOI:	10.1142/s1758825123500412
Popis:	The topic of this paper is related to the inverse stochastic mechanic problems, in which it is necessary to estimate the unknown mechanical and geometrical random quantities of the structures once the external loads and displacement responses are probabilistically known. In particular, in this work, a probability-based approach for inverse stochastic problems, working directly in terms of probability density functions (PDFs), is presented. This approach has been possible thanks to the application of the probability transformation method (PTM), which has been recently introduced for the solution of many stochastic analysis problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c220f797caec163e7ee8aa64dcc82a02 https://doi.org/10.1142/s1758825123500412 Zobrazit plný text záznamu