Detection of changes in dynamic characteristics of composite structures using Kriging metamodeling procedure: Experimental and computational analysis

Abstract

To ensure the quality, safety, and long-term durability of fiber-reinforced composite components, it is necessary to explore approaches for monitoring and detecting defects or damage. Nondestructive detection techniques based on dynamic properties and structural response, such as natural frequency, damping, and modal shape. This study presents a numerical-experimental methodology based on dynamic analysis of structures made of composite materials. The methodology utilizes a surrogate model to establish a design envelope through a Kriging metamodel and to assess a damage index for structures affected by impact damage. The Latin Hypercube method is employed to generate values for the input variables, while the finite element method is utilized to calculate the natural frequencies. The Kriging metamodel is then employed to generate a numerical model, which is optimized using the Efficient Global Optimization algorithm and the expected improvement metric to minimize computational costs. The methodology yields a frequency range and determines a design envelope to evaluate the manufacturing quality of the structure. A damage index is used to identify structures with defects or impact damage, allowing for the assessment of severity. Additionally, the study evaluates the impact of incorporating metrics into the Latin Hypercube method to further reduce computational costs. Finally, this proposed approach contributes to the development of monitoring systems for assessing the manufacturing quality of composite structures and detecting impact damage through dynamic analysis. By utilizing this methodology, it becomes possible to effectively identify and evaluate the severity of defects and damage in composite structures, thus enhancing quality evaluation processes.

Keywords:

• Low-frequency dynamics
• composite plates
• manufacturing defects
• finite element analysis
• design of experiments

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors received the financial support from the Santa Catarina State Research and Innovation Foundation (FAPESC number: 2017TR1747, 2019TR779, 2021TR843, and 2023TR563) as well as Sao Paulo State Research Foundation (FAPESP number: 2012/01047-8 and 2015/15221-8), Coordination for the Improvement of Higher Level Personnel (CAPES number: 011214/2013-09 and Finance Code 001), PROMOP (Programa de Bolsas de Monitoria de Pós-Graduação) of the Santa Catarina State University. Ricardo De Medeiros received the financial support from the National Council for Scientific and Technological Development (CNPq process number: 304795/2022-4). Volnei Tita received the financial support from the National Council for Scientific and Technological Development (CNPq number: 310159/2022-9 and 407531/2022-0).