Regular Article

Probability prediction of tensile strength with acoustic emission count of a glass fiber reinforced polyamide

Laboratoire de Mécanique de Sousse, Ecole Nationale d'Ingénieurs de Sousse Université de Sousse, Bp.264 Erriadh, 4023 Sousse, Tunisie

^* e-mail: mhallamaki@yahoo.fr

Received: 21 June 2016
Accepted: 10 February 2018

Abstract

The aim of this paper is to develop a probabilistic approach for predicting the tensile strength behavior of a glass fiber reinforced polyamide. In the present study, the reliability of tensile strength is proposed based on the developed mathematical models, in which three factors with three levels are implemented. Glass fiber content, temperature and strain rate are chosen as the main input parameters in this study. The tensile strength is considered as output response which is evaluated through experimental tests. The “Strength-Load” method with Monte Carlo simulation is implemented for computing the tensile strength reliability. The proposed approach leads to predict useful the tensile strength behavior for different parameters. In addition, a sensitivity analysis of some input parameters on the reliability is discussed. This method has been also used to analyze and discuss the influence of the dispersions of the glass fiber content and the temperature of a glass fiber reinforced polyamide.