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Sebastião Simões da Cunha

Bio: Sebastião Simões da Cunha is an academic researcher from Universidade Federal de Itajubá. The author has contributed to research in topics: Finite element method & Structural health monitoring. The author has an hindex of 13, co-authored 36 publications receiving 676 citations. Previous affiliations of Sebastião Simões da Cunha include Federal University of Uberlandia.

Papers
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Journal ArticleDOI
TL;DR: The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems that employs terms as root velocity and pollination providing robustness.
Abstract: The need for global damage detection methods that can be applied in complex structures has led to the development of methods that examine the structural dynamic behavior. The damage detection problem can be considered as a inverse problem with minimization of a objective function. For those reasons, a new nature-inspired optimization method based on sunflowers’ motion is introduced. The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems. Compared to traditional algorithms, SFO employs terms as root velocity and pollination providing robustness. The new method is then applied in an inverse problem of structural damage detection in composite laminated plates.

225 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compared the performance of response surface methodology (RSM) and genetic algorithm (GA) in the optimization of a GMAW welding process with a relatively small number of experiments.

162 citations

Journal ArticleDOI
TL;DR: The use of computational and intelligent techniques for structural monitoring in the form of a review with emphasis on composite materials is discussed, to help engineers and researchers find a starting point in developing a better solution to their specific structural monitoring problems.

97 citations

Journal ArticleDOI
TL;DR: In this article, the authors discuss the use of optimization algorithms and Artificial Neural Networks (ANN) for structural monitoring in the form of a brief review, which aims to help engineers and researchers find a better alternative to their specific structural monitoring problems.
Abstract: The Structural Health Monitoring (SHM) technique is today the principle approach to manage the discovery and recognizable proof of damage in the most various designing areas. The need to monitor structural behavior is increasing every day but due to the development of new materials and increasingly complex structures. This leads to the development of increasingly robust and sensitive SHM methodologies and techniques. Damage Identification by means of intelligent signal processing and optimization algorithms based in vibration metrics are particularly emphasized in this paper. The methods discussed here are mainly elaborated by the evaluation of vibrational and modal data due to the great potential (and relatively easy to apply) of application. This article discusses the use of optimization algorithms and Artificial Neural Networks (ANN) for structural monitoring in the form of a brief review. This paper can be seen as a starting point of developing SHM systems and data analysis. The content of this paper aims to help engineers and researchers find a better alternative to their specific structural monitoring problems.

78 citations

Journal ArticleDOI
TL;DR: An unprecedented metaheuristic algorithm was created inspired by the physical phenomenon of radial intra-cloud lightning and Lichtenberg figures, successfully exploiting the fractal power and it is different from many in the literature as it is a hybrid algorithm composed of methods of search based on population and trajectory.
Abstract: This paper proposes a novel global optimization algorithm called Lichtenberg Algorithm (LA), inspired by the Lichtenberg figures patterns. Optimization is an essential tool to minimize or maximize functions, obtaining optimal results on costs, mass, energy, gains, among others. Actual problems may be multimodal, nonlinear, and discontinuous and may not be minimized by classical analytical methods that depend on the gradient. In this context there are metaheuristics algorithms inspired by natural phenomena to optimize real problems. There is no algorithm that is the worst or the best, but more efficient for a given type of problem. Thus, an unprecedented metaheuristic algorithm was created inspired by the physical phenomenon of radial intra-cloud lightning and Lichtenberg figures, successfully exploiting the fractal power and it is different from many in the literature as it is a hybrid algorithm composed of methods of search based on population and trajectory. Several test functions, including a design problem in a welded beam, were used to verify the robustness and to validate the Lichtenberg Algorithm. In all cases, the results were satisfactory when compared to those in the literature. LA shown to be a powerful optimization tool for both unconstraint optimizations and real problems with linear and nonlinear constraints.

73 citations


Cited by
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Journal Article
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

13,333 citations

Journal ArticleDOI
TL;DR: A review of the research carried out so far in determining and optimizing the process parameters of the FDM process can be found in this paper, where several statistical designs of experiments and optimization techniques used for the determination of optimum process parameters have been examined.
Abstract: Fused deposition modeling (FDM) is one of the most popular additive manufacturing technologies for various engineering applications. FDM process has been introduced commercially in early 1990s by Stratasys Inc., USA. The quality of FDM processed parts mainly depends on careful selection of process variables. Thus, identification of the FDM process parameters that significantly affect the quality of FDM processed parts is important. In recent years, researchers have explored a number of ways to improve the mechanical properties and part quality using various experimental design techniques and concepts. This article aims to review the research carried out so far in determining and optimizing the process parameters of the FDM process. Several statistical designs of experiments and optimization techniques used for the determination of optimum process parameters have been examined. The trends for future FDM research in this area are described.

925 citations

Journal ArticleDOI
TL;DR: A comprehensive literature review of the application of evolutionary algorithms, evolutionary algorithms and computational network in the area of welding has been introduced herein and was classified according to the output features of the welding, i.e. bead geometry and mechanical properties of the welds.

411 citations

BookDOI
02 Nov 2005
TL;DR: In this article, the authors presented a comprehensive analysis of the four Elastic Moduli coefficients of a Unidirectional Lamina Coefficients of Thermal Expansion and Moisture Expansion.
Abstract: INTRODUCTION TO COMPOSITE MATERIALS Chapter Objectives Introduction Classi?cation Recycling Fiber-Reinforced Composites Mechanics Terminology Summary Key Terms Exercise Set References MACROMECHANICAL ANALYSIS OF A LAMINA Chapter Objectives Introduction Review of De?nitions Hooke's Law for Different Types of Materials Hooke's Law for a Two-Dimensional Unidirectional Lamina Hooke's Law for a Two-Dimensional Angle Lamina Engineering Constants of an Angle Lamina Invariant Form of Stiffness and Compliance Matrices for an Angle Lamina Strength Failure Theories of an Angle Lamina Hygrothermal Stresses and Strains in a Lamina Summary Key Terms Exercise Set References APPENDIX A: MATRIX ALGEBRA Key Terms APPENDIX B: TRANSFORMATION OF STRESSES AND STRAINS Transformation of Stress Transformation of Strains Key Terms MICROMECHANICAL ANALYSIS OF A LAMINA Chapter Objectives Introduction Volume and Mass Fractions, Density, and Void Content Evaluation of the Four Elastic Moduli Ultimate Strengths of a Unidirectional Lamina Coefficients of Thermal Expansion Coefficients of Moisture Expansion Summary Key Terms Exercise Set References MACROMECHANICAL ANALYSIS OF LAMINATES Chapter Objectives Introduction Laminate Code Stress-Strain Relations for a Laminate In-Plane and Flexural Modulus of a Laminate Hygrothermal Effects in a Laminate Summary Key Terms Exercise Set References FAILURE, ANALYSIS, AND DESIGN OF LAMINATES Chapter Objectives Introduction Special Cases of Laminates Failure Criterion for a Laminate Design of a Laminated Composite Other Mechanical Design Issues Summary Key Terms Exercise Set References BENDING OF BEAMS Chapter Objectives Introduction Symmetric Beams Nonsymmetric Beams Summary Key Terms Exercise Set References INDEX

401 citations