Weighted Regression-Based Extremum Response Surface Method for Structural Dynamic Fuzzy Reliability Analysis
نویسندگان
چکیده
منابع مشابه
ENHANCING WEIGHTED UNIFORM SIMULATION FOR STRUCTURAL RELIABILITY ANALYSIS
Weighted Uniform Simulation (WUS) is recently presented as one of the efficient simulation methods to obtain structural failure probability and most probable point (MPP). This method requires initial assumptions of failure probability to obtain results. Besides, it has the problem of variation in results when it conducted with few samples. In the present study three strategies have been present...
متن کاملReliability analysis of turbine blades based on fuzzy response surface method
To improve the precision of reliability analysis on turbine blades, the fuzzy response surface method of reliability analysis is proposed by considering the fuzziness of the input variables and the vagueness of the limit state variables. Initially, the fuzzy basic variables were converted into equivalent random variables according to the method of equivalent transformation. Additionally, the ma...
متن کاملReliability analysis of response surface based damage identification method
Non-destructive structural damage identification (SDI) and quantification of damage is an important issue for Civil, Mechanical and Aerospace engineering structures.Recently,response surface based damage identification methods have been successfully applied for this purpose.In this paper,the reliability of response surface based damage identification methodology has been studied.
متن کاملA WEIGHTED LINEAR REGRESSION MODEL FOR IMPERCISE RESPONSE
A weighted linear regression model with impercise response and p-real explanatory variables is analyzed. The LR fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. A least square solution for estimating the parameters of the model is derived. The result are illustrated by the means of some case studies.
متن کاملFuzzy Robust Regression Analysis with Fuzzy Response Variable and Fuzzy Parameters Based on the Ranking of Fuzzy Sets
Robust regression is an appropriate alternative for ordinal regression when outliers exist in a given data set. If we have fuzzy observations, using ordinal regression methods can't model them; In this case, using fuzzy regression is a good method. When observations are fuzzy and there are outliers in the data sets, using robust fuzzy regression methods are appropriate alternatives....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2019
ISSN: 1996-1073
DOI: 10.3390/en12091588