PROBABILISTIC ANALYSIS OF GLASS EPOXY COMPOSITE BEAMS FOR DAMAGE INITIATION DUE TO HIGH VELOCITY IMPACT

S. Patel, S. Ahmad, P. Mahajan
2012 The International Conference on Applied Mechanics and Mechanical Engineering  
A numerical 3D dynamic finite element approach was adopted to study damage in composite beam subjected to high velocity impact. The contact force between the impactor and the target depends on the impactor mass, velocity and the elastic properties and other characteristic of composite beams. Fiber reinforced composite beams are susceptible to damage due to impact by foreign objects and in plane loading. In order to assess the safe load carrying capacity and the probability of failure under
more » ... t, dynamic analysis of composite beam subjected to high velocity impact is carried out. Finite element method is used to study the impact. During high velocity impact the out-of-plane damage modes such as matrix cracking and fiber failure are modeled using a failure criterion. The limit state functions for the composite beam under impact are derived from Chang-Chang [9] failure model. The uncertainties associated with the properties and their inherent scatter in the geometric and material properties and input load are modeled in a probabilistic fashion. Random parameters represent various characteristics appearing in the limit state function. The probabilistic analysis and reliability prediction of the system is carried out using the first order reliability method (FORM) and validity of method is established using Monte Carlo simulation (MCS) procedure .The results show that for the given system and respective scatter, first order reliability method yields satisfactory level of accuracy. Sensitivity analysis of probability of failure with respect to random parameters considered is an important study for design optimization. The safety level quantification is achieved in terms of reliability level targeted. The mean and standard deviations of random variables show an appreciable influence on the probabilistic failure. Systematic changes in the input parameters are governed by probabilistic sensitivity tools to achieve target reliability.
doi:10.21608/amme.2012.37274 fatcat:emdr5acvgbg3bmorgzc4zzsy6i