Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling

Experimental characterisation of random field models for CFRP composite panels

“…A common feature of most of these studies is the treatment of the primary uncertain parameters as random variables with assumed probabilistic characteristics. Experimental studies to investigate the appropriateness of the assumed probability distributions of the material parameters have been undertaken for different composite materials; see [8][9][10][11][12][13].…”

Natural frequency optimization of braided bistable carbon/epoxy tubes: Analysis of braid angles and stacking sequences

“…The sensitivity of bistable laminates has also been examined [19]. The main sources of uncertainty in composite materials [20,21,22,23] include variability in material properties due to indeterminate fiber and matrix properties, geometric aspects at macroscopic level, and the manufacturing process itself [24]. The dynamic response of structures with uncertainties in the composite material was studied using a parametric probabilistic approach by assigning random variables to certain parameters [25].…”

A Numerical-Experimental Method for Drop Impact Analysis of Composite Landing Gear

“…This usually involves minimizing an error function between the experimental and numerical outputs [13]. Constructing of predictive computational models for analysis and design of many complex engineering systems requires not only a fine representation of the relevant physics and their interactions but also a quantitative assessment of underlying uncertainties and their impact on design performance objectives [20]. Hence, a thorough characterization of the mechanical properties of these structures is needed to establish reliable designs.…”