Stochastic optimization and modeling of high-velocity impact tests on high-temperature carbon–carbon composites

Abstract In this study, it is intended to optimize a high-velocity impact case of composite plate. The selected from literature focused on the failure response advanced carbon–carbon (C/C) composites under impacts. Based stochastic optimization method, three unique models are introduced within present study's scope as dimensionless damage areas front and back sides energy response. difference between equations found in study base number variables. Obtained prediction consist only tests' input variables; thus, these can be considered essential functions C/C high temperatures. Multiple nonlinear regression method used for objective problem. Since determination coefficient values have been quite similar ones literature, presented successful predicting results. By utilizing novel damaged minimized. Without necessity experimental research, further predictions made by operating study.