Uncertainty analysis of honeycomb sandwich composite radome under imprecise probability
Source abstract
Abstract
Uncertainty is widely present in composite structures, and the probabilistic model is one of the most common ways to describe uncertainty. In some engineering problems, incomplete knowledge leads to uncertainty in the distribution parameters of probabilistic models. In this paper, the uncertainty of the distribution parameters is described by intervals, and the uncertainty analysis of a radome made by honeycomb sandwich composite is performed under imprecise probability. To reduce computational costs, a back propagation analysis neural network (BPA-NN) based on data from finite element analysis (FEA) is constructed. A variance-based global sensitivity analysis (GSA) is conducted to identify input variables that have a large influence on the output characteristics of the composite structure. A buckling failure model is established to evaluate the safety of the composite structure, and then GSA based on failure probability is carried out to identify input variables that have a large influence on the failure probability of the structure. The uncertainty analysis under imprecise probability in this paper provides a framework for the reliability assessment and design of composites.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Probabilistic and Robust Engineering Design · Concrete Corrosion and Durability · Structural Behavior of Reinforced Concrete
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (51)
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