Model-based and Signal-Based Inverse Methods

Autores/as

Ariosto B. Jorge (ed)
Universidade de Brasília (UnB)
https://orcid.org/0000-0002-8631-1381
Carla Tatiana Mota Anflor (ed)
Universidade de Brasília (UnB)
https://orcid.org/0000-0003-3941-8335
Guilherme Ferreira Gomes (ed)
Universidade Federal de Itajubá (UNIFEI)
https://orcid.org/0000-0003-0811-6334
Sergio Henrique da Silva Carneiro (ed)
Universidade de Brasília (UnB)
https://orcid.org/0000-0001-6669-2255

Palabras clave:

Engenharia de materiais, Métodos, Modelos

Sinopsis

This book series is an initiative of the Post Graduate Program in Integrity of Engineering Materials from UnB, organized as a collaborative work involving researchers, engineers, scholars, from several institutions, universities, industry, recognized both nationally and internationally. The book chapters discuss several direct methods, inverse methods and uncertainty models available for model-based and signal based inverse problems, including discrete numerical methods for continuum mechanics (Finite Element Method, Boundary Element Method, Mesh-Free Method, Wavelet Method). The different topics covered include aspects related to multiscale modeling, multiphysics modeling, inverse methods (Optimization, Identification, Artificial Intelligence and Data Science), Uncertainty Modeling (Probabilistic Methods, Uncertainty Quantification, Risk & Reliability), Model Validation and Verification. Each book includes an initial chapter with a presentation of the book chapters included in the volume, and their connection and relationship with regard to the whole setting of methods and models.

Capítulos

  • Chapter 1. Introduction to Optimization and Identification Techniques for Model-Based and Signal-Based Inverse Problems
    Ariosto B. Jorge, Carla Tatiana Mota Anflor, Guilherme Ferreira Gomes, Sergio Henrique da Silva Carneiro
  • Chapter 2. Overview of Some Optimization and Identification Techniques for Inverse Problems of Detection, Localization and Parameter Estimation
    Ariosto B. Jorge, Guilherme Ferreira Gomes, Bruno Silva de Sousa, Patricia da Silva Lopes Alexandro, Sebastião Simões Cunha Jr
  • Chapter 3: An overview of Linear and Non-linear Programming methods for Structural Optimization
    Ariosto B. Jorge, Guilherme Ferreira Gomes, Sergio B. Choze, Rogerio R. Santos
  • Chapter 4: Overview of Traditional and Recent Heuristic Optimization Methods
    Guilherme Ferreira Gomes, Sergio B. Choze, Rogerio R. Santos
  • Chapter 5: Application of Machine Learning and Multi-Disciplinary/MultiObjective Optimization Techniques for Conceptual Aircraft Design
    Ariosto B. Jorge, Bento S. de Mattos, Felipe A. Bortolete, José A. T. G. Fregnani, William M. Alves, Ronaldo V. Cruz
  • Chapter 6: On a Bio-Inspired Method for Topology Optimization via Map L-Systems and Fractone Modeling
    Marcelo H. Kobayashi
  • Chapter 7: Fundamentals on the Topological Derivative concept and its classical applications
    Ariosto B. Jorge, Carla Tatiana Mota Anflor, Fernando Soares de Carvalho, Adrián Pablo Cisilino, Rogério José Marczak
  • Chapter 8: Ultrasound Obstacle Identification using the Boundary Element and Topological Derivative Methods
    Carla Tatiana Mota Anflor, Adrián Pablo Cisilino
  • Chapter 9: Fundamental Concepts on Wavelet Transforms
    Ariosto B. Jorge, Erwin Ulises Lopes Palechor, Ramon Saleno Yure Costa Silva, Marcus Vinicius Girão de Morais, Luciano Mendes Bezerra
  • Chapter 10: Application of Wavelet Transforms to Structural Damage Monitoring and Detection
    Ariosto B. Jorge, Erwin Ulises Lopes Palechor, Ramon Saleno Yure Costa Silva, Marcus Vinicius Girão de Morais, Luciano Mendes Bezerra, Gilberto Gomes
  • Chapter 11: Inverse Methods using KF, EKF, EIF, PF, and LS Techniques for Detection, Localization, and Parameter Estimation
    Ariosto B. Jorge, Michael Richard Myers
  • Chapter 12: Fundamental Concepts for Impedance-based Structural Health Monitoring
    Roberto Mendes Finzi Neto, Jose dos Reis Vieira de Moura Junior
  • Chapter 13: Fundamental Concepts for Guided Lamb Wave-based Structural Health Monitoring
    DOI: https://doi.org/10.4322/978-65-86503-71-5.c13
    Roberto Mendes Finzi Neto, Jose dos Reis Vieira de Moura Junior, Stanley Washington Ferreira de Rezende
  • Chapter 14: Machine Learning and Pattern Recognition: Methods and Applications for Integrity Monitoring of Civil Engineering Structures
    Vinicius N. Alves, Alexandre A. Cury, Ney Roitman, Carlos Magluta

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Biografía del autor/a

Ariosto B. Jorge, Universidade de Brasília (UnB)

Visiting Professor at Post-Graduate Program - Integrity of Engineering Materials, University of Brasilia, Brazil

Carla Tatiana Mota Anflor, Universidade de Brasília (UnB)

Professor at Post-Graduate Program - Integrity of Engineering Materials, University of Brasilia, Brazil.

Research interests include: optimization, boundary element method, mechanical vibrations and solid mechanics

Guilherme Ferreira Gomes, Universidade Federal de Itajubá (UNIFEI)

Professor at Mechanical Engineering Institute, Federal University of Itajubá, Itajubá, Brazil.


Research interests include: structures, vibration and modal testing, structural health monitoring, composite structures, optimization and applied artificial intelligence

Sergio Henrique da Silva Carneiro, Universidade de Brasília (UnB)

Collaborating Professor at Post-Graduate Program - Integrity of Engineering Materials, University of Brasilia, Brazil.


Research interests include: modal testing, structural analysis, finite element method, dynamics, fracture mechanics and damage detection.

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Publicado

April 6, 2022

Categorías

Derechos de autor 2022 Universidade de Brasília

Licencia

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Detalles sobre esta monografía

ISBN-13 (15)

978-65-86503-71-5

Fecha de publicación (01)

2022