Damage identification in plate structures based on the topological derivative method

Silva, A. A. M. da; Novotny, Antônio André

doi:10.1007/s00158-021-03145-1

Cited by 5 publications

(2 citation statements)

References 53 publications

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“…A method based on the multi-frequency D T was developed as an alternative to standard guided-waves-based Structural Health Monitoring (SHM) methods and used for locating the presence of flaws in thin plates (Martinez Dominguez et al [2018]). The damage identification based on the D T method was addressed in (da Silva and Novotny [2022]) for problems governed by the elastodynamic Kirchhoff and Reissner-Mindlin plate bending models in the frequency domain. According to this brief review, the reader can have an idea about the wide range of the use of D T in physical phenomena modeled by partial differential equations.…”

Section: Discussionmentioning

confidence: 99%

Model-based and Signal-Based Inverse Methods

2022

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The engineering sector drives and enables the development of a country. The formation of an engineer allows a technical capacity to evaluate, plan, design, suggest and apply all possible techniques in search of the best construction of a technological equipment. Currently, the engineer must be more and more prepared to solve existing problems in various sectors of society. It is through it that societies grow in search of progress. The recognition of engineering and the training of new professionals increases every year in Brazil. In the 2000s, the University of Brasília (UnB) went through an expansion process, resulting in the implementation of the new UnB Engineering Campus in the city of Gama (UnB-Gama, FGA). Five new undergraduate courses were created: Aerospace Engineering, Automotive Engineering, Electronic Engineering, Energy Engineering and Software Engineering. The UnB Gama Campus project converges to increase the education level of the Brazilian population, especially in the five areas of engineering activity, all in line with current national public policies, aimed at expanding the population's access to quality higher education in the country. Following the high quality teaching line, the UnB-Gama campus has the Graduate Program in Integrity of Engineering Materials (PPG-Integridade). The program has the following lines of research: Dynamics and Vibrations, Fatigue, Structural Materials, Biomaterials, Structure Fluid Interaction and Numerical Simulation of the Mechanical Behavior of Materials. This book series is an initiative of PPG-Integridade -UnB, organized as a collaborative work involving researchers, engineers, scholars, from several institutions, universities, industry, recognized both nationally and internationally.Beside the high technical quality and relevance of the topics covered in the books, this series will enable an essential internationalization of the research currently developed within the University of Brasília. Several authors from different countries also contributed to these books, enabling greater interaction between national and international research groups. This internationalization raises the level of academic education for new professionals in the field of engineering, in addition to more advanced scientific research and technological development. Additionally, this book series features a strong contribution from the industrial sector. Several professionals from different companies collaborated with the writing of some chapters in the three volumes that make up this series. These initiatives are of great strategic importance, as they allow the grouping of different technical capabilities. On the part of companies in the sector, with knowledge of market demands, and on the part of universities, by adding the technical-scientific knowledge of their team of researchers to the improvement of innovative products and services. This book should be appreciated by anyone in need of knowledge of Materials Integrity. The completeness of Discrete Modeling and Inverse Methods theory c...

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Section: Discussionmentioning

confidence: 99%

Model-based and Signal-Based Inverse Methods

2022

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“…Xue et al [28] applied the contingent probability method to track sources of pollutants in open air with a constant emission. Da Silva et al [29] proposed a new approach to the problem of damage identification in plate structures based on the method of topological derivatives. Three inclusions were identified with 32% confidence.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Identifying an Arbitrary Number of Inclusions, Their Geometry and Location in the Structure Using Topological Optimization

et al. 2022

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In the present paper, a new approach to identifying an arbitrary number of inclusions, their geometry and their location in 2D and 3D structures using topological optimization was proposed. The new approach was based on the lack of initial information about the geometry of the inclusions and their location in the structure. The numerical solutions were obtained by the finite element method in combination with the method of moving asymptotes. The convergence of the finite element method at the coincidence of functions and their derivatives was analyzed. Results with an error of no more than 0.5%, i.e., almost exact solutions, were obtained. Identification at impact on the plate temperature and heat flux by solving the inverse problem of heat conduction was produced. Topological optimization for identifying an arbitrary number of inclusions, their geometry and their location in 2D problems was investigated.

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Optimal sensor placement based on dynamic condensation using multi-objective optimization algorithm

Yang

Xia

2022

Struct Multidisc Optim

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Damage identification in plate structures based on the topological derivative method

Cited by 5 publications

References 53 publications

Model-based and Signal-Based Inverse Methods

Model-based and Signal-Based Inverse Methods

A New Approach to Identifying an Arbitrary Number of Inclusions, Their Geometry and Location in the Structure Using Topological Optimization

Optimal sensor placement based on dynamic condensation using multi-objective optimization algorithm

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