Fuzzy sets : fatigue tests

In this study, the results of fatigue tests using fuzzy set methodology are considered. Cyclic loading causes damage, reducing the strength until the material can no longer sustain even service loading. The experiments demonstrate the scatter of results. Fuzzy set analysis has been proposed in order to estimate the uncertainty in the evaluation of stiffness and critical number of cycles corresponding to final fatigue damage. The results of fatigue-life tests using fuzzy set methodology are also considered when the experimental results are given in the form of a histogram. The fuzzy set and vertex method in conjunction with finite element (FE) computations are introduced to evaluate buckling loads.

[1]  M. A. Jarrah,et al.  Neuro-Fuzzy Modeling of Fatigue Life Prediction of Unidirectional Glass Fiber/Epoxy Composite Laminates , 2002 .

[2]  J. N. Yang,et al.  Modulus reduction and fatigue damage of matrix dominated composite laminates , 1992 .

[3]  Qingguo Fei,et al.  Prediction of uncertain elastic parameters of a braided composite , 2015 .

[4]  Anastasios P. Vassilopoulos,et al.  Adaptive neuro-fuzzy inference system in modelling fatigue life of multidirectional composite laminates , 2008 .

[5]  S. Raßbach,et al.  Modelling of the deformation behaviour of FGM by fuzzy-logic , 1999 .

[6]  P Kędziora,et al.  Optimal design of composite structures subjected to fatigue loading in a fuzzy environment , 2014 .

[7]  Jacob Fish,et al.  On calibration and validation of eigendeformation-based multiscale models for failure analysis of heterogeneous systems , 2008 .

[8]  I. Turksen,et al.  A model for the measurement of membership and the consequences of its empirical implementation , 1984 .

[9]  A. Muc,et al.  DESIGN PROCEDURES OF COMPOSITE STRUCTURES VIA FUZZY SET APPROACH , 2001 .

[10]  T. Rajmohan,et al.  Grey-fuzzy algorithm to optimise machining parameters in drilling of hybrid metal matrix composites , 2013 .

[11]  Ramesh Talreja,et al.  Fatigue of composite materials , 1987 .

[12]  A. Muc,et al.  Limit load carrying capacity for spherical laminated shells under external pressure , 1993 .

[13]  Mohammad Mehdi Kaykha,et al.  Experimental investigations and fuzzy logic modeling of compressive strength of geopolymers with seeded fly ash and rice husk bark ash , 2012 .

[14]  A. Muc,et al.  Application of fuzzy set theory in mechanics of composite materials , 2003 .

[15]  Aleksander Muc,et al.  The application of fuzzy logic in fatigue damage analysis , 2014 .

[16]  Rosma Mohd Dom,et al.  Role of Input Selection Prediction of Physical Properties of Degradable Composites Using ANFIS , .

[17]  Ranjan Ganguli,et al.  Damage assessment of composite plate structures with material and measurement uncertainty , 2016 .

[18]  M. Hanss,et al.  Review: Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances , 2011 .

[19]  A. Muc,et al.  A fuzzy set analysis for a fracture and fatigue damage response of composite materials , 2001 .

[20]  Ghulam Mustafa,et al.  Fatigue life prediction of laminated composites using a multi-scale M-LaF and Bayesian inference , 2016 .

[21]  A. Muc,et al.  Failure analysis of FRP panels with a cut-out under static and cyclic load , 2001 .

[22]  J. Dombi.  Membership function as an evaluation , 1990 .

[23]  Matthias Stein,et al.  Fuzzy logic based approach to FRP retrofit of columns , 2007 .

[24]  Michael Kaliske,et al.  A fuzzy-probabilistic durability concept for strain-hardening cement-based composites (SHCCs) exposed to chlorides: Part 1: Concept development , 2012 .