Composites structural modelling with uncertain data

TL;DR: In this article, an approach on predicting the statistical characteristics of elastic modulus of braided composites using vibration test data is proposed, which consists of two main steps, firstly estimate the initial mean values of the orthotropic elastic parameters by adopting the homogenization method, and then identify the variability of the elastic constants using a stochastic model updating algorithm with the first-order perturbation approach, the uncertain parameters are assumed as the summation of mean value and a deviation term with zero mean.

TL;DR: In this article, the natural frequency of cantilevered bistable carbon/epoxy reeled composite (BRC) slit tubes constructed from combinations of braided and unidirectional (UD) plies is optimized with respect to fiber orientation angles and laminate stacking sequences.

TL;DR: In this paper, a two scale analysis is considered and the mathematical theory of asymptotic homogenization is applied to model the problem of failure envelopes of unidirectional fiber reinforced composites.

TL;DR: In this article, an approach based on the optimal design of composite structures to achieve a target reliability level is proposed using the Uniform Design Method (UDM), a set of design points is generated over a design domain centred at mean values of random variables, aimed at studying the space variability.

TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.

TL;DR: In this article, a generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription, and examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.

TL;DR: In this article, a representation of stochastic processes and response statistics are represented by finite element method and response representation, respectively, and numerical examples are provided for each of them.

TL;DR: A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription.