Probabilistic Stress Intensity Factor Prediction of Surface Crack Using Bootstrap Sampling Method

Fatigue cracks commonly occur for in-service engineering structures. The main parameter fatigue crack is the stress intensity factor (SIF). SIF an indicator of growth and remaining life a structure. Nonetheless, problem was raised when determining since could not be presented in physical phenomena. Thus, technique required to predict range SIF. Maximum minimum bounds help estimate life. This paper aims structure's safe failure region during fracture process based on SIFs.The primary tool S-version Finite Element Model (S-FEM). Yet, S-FEM unable compute random variables analysis. Bootstrap developed embedded into S-FEMfor computing areutilised SIFs. SIFs are generated one hundred samples. samples arerandomly distribution material properties. A lognormal used generate sampling computed bootstrap method. introduced as BootsrapS-FEM. When exceedthe toughness 29 MPa.√m, indicated at angle 2φ/π = 0.627 1 with 6% saferegion observed 0 0.626 94% essential this analysis prevent unstable growth.