Nam-Ho Kim – författare

Structural design sensitivity analysis concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the governing equations of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems.Book I introduces structural design concepts that include the CAD-based design model, design parameterization, performance measures, costs, and constraints. It also discusses design sensitivity analysis of linear structural systems, and discrete and continuum design sensitivity analysis methods.

Structural design sensitivity analysis concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the governing equations of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems. Book 2 covers design sensitivity analysis of nonlinear structural systems using continuum design sensitivity analysis methods. It also discusses practical design tools and applications; sizing and shape design parameterization, design velocity field computation, numerical implementation of the sensitivity for general-purpose code development, and various other practical design applications.

Introduces the basic concepts of FEM in an easy-to-use format so that students and professionals can use the method efficiently and interpret results properlyFinite element method (FEM) is a powerful tool for solving engineering problems both in solid structural mechanics and fluid mechanics. This book presents all of the theoretical aspects of FEM that students of engineering will need. It eliminates overlong math equations in favour of basic concepts, and reviews of the mathematics and mechanics of materials in order to illustrate the concepts of FEM. It introduces these concepts by including examples using six different commercial programs online.The all-new, second edition of Introduction to Finite Element Analysis and Design provides many more exercise problems than the first edition. It includes a significant amount of material in modelling issues by using several practical examples from engineering applications. The book features new coverage of buckling of beams and frames and extends heat transfer analyses from 1D (in the previous edition) to 2D. It also covers 3D solid element and its application, as well as 2D. Additionally, readers will find an increase in coverage of finite element analysis of dynamic problems. There is also a companion website with examples that are concurrent with the most recent version of the commercial programs. Offers elaborate explanations of basic finite element proceduresDelivers clear explanations of the capabilities and limitations of finite element analysisIncludes application examples and tutorials for commercial finite element software, such as MATLAB, ANSYS, ABAQUS and NASTRANProvides numerous examples and exercise problemsComes with a complete solution manual and results of several engineering design projectsIntroduction to Finite Element Analysis and Design, 2nd Edition is an excellent text for junior and senior level undergraduate students and beginning graduate students in mechanical, civil, aerospace, biomedical engineering, industrial engineering and engineering mechanics.

A clear and accessible overview of the Finite Element Method The finite element method (FEM), which involves solutions to partial differential equations and integro-differential equations, is a powerful tool for solving structural mechanics and fluid mechanics problems. FEM results in versatile computer programs with flexible applications, usable with minimal training to solve practical problems in a variety of engineering and design contexts. Introduction to Finite Element Analysis and Design offers a comprehensive yet readable overview of both theoretical and practical elements of FEM. With a greater focus on design aspects than most comparable volumes, it’s an invaluable introduction to a key suite of software and design tools. The third edition has been fully updated to reflect the latest research and applications. Readers of the third edition of Introduction to Finite Element Analysis and Design will find: 50% more exercise problems than the previous edition, with an accompanying solutions manual for instructorsA brand-new chapter on plate and shell finite elementsTutorials for commercial finite element software, including MATLAB, ANSYS, ABAQUS, and NASTRANIntroduction to Finite Element Analysis and Design is ideal for advanced undergraduate students in finite element analysis- or design-related courses, as well as for researchers and design engineers looking for self-guided tools.

An expert reference on building surrogate models, using them for optimization, their associated prediction uncertainty, and potential failures, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions, helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. Each chapter contains a multitude of examples and exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Topics discussed in Surrogate Modeling and Optimization include: Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design spaceCriteria for constrained and unconstrained optimization and the most important optimization theoriesVarious numerical algorithms for gradient-based optimizationGradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian informationDetailed explanations and implementation on Kriging surrogates, often referred to as Gaussian Process, especially when samples include noiseThe combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracyNeural network models, focusing on training uncertainty and its effect on prediction uncertaintyEfficient global optimization using either polynomial response surfaces or Kriging surrogatesSurrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply surrogate models to solve their optimization problems.

This book introduces the key concepts of nonlinear finite element analysis procedures. Instead of covering many nonlinear problems, the book focuses on three representative problems: nonlinear elasticity, elastoplasticity, and contact problems.

Structural design sensitivity analysis concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the governing equations of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems.Book I introduces structural design concepts that include the CAD-based design model, design parameterization, performance measures, costs, and constraints. It also discusses design sensitivity analysis of linear structural systems, and discrete and continuum design sensitivity analysis methods.

Structural design sensitivity analysis concerns the relationship between design variables available to the design engineer and structural responses determined by the laws of mechanics. The dependence of response measures such as displacement, stress, strain, natural frequency, buckling load, acoustic response, frequency response, noise-vibration-harshness (NVH), thermo-elastic response, and fatigue life on the material property, sizing, component shape, and configuration design variables is defined through the governing equations of structural mechanics. In this 2-volume set, first- and second- order design sensitivity analyses are presented for static and dynamics responses of both linear and nonlinear elastic structural systems, including elasto-plastic and frictional contact problems.Book 2 covers design sensitivity analysis of nonlinear structural systems using continuum design sensitivity analysis methods. It also discusses practical design tools and applications; sizing and shape design parameterization, design velocity field computation, numerical implementation of the sensitivity for general-purpose code development, and various other practical design applications.

This book introduces the key concepts of nonlinear finite element analysis procedures. Instead of covering many nonlinear problems, the book focuses on three representative problems: nonlinear elasticity, elastoplasticity, and contact problems.

Engineering drawing is the "instrument of communication" upon which the designer must place all information necessary to define a new product. Computer-aided design (CAD) courses often involve teaching solid modelling software, and we view CAD as an engineering communication tool for manufacturing. As the technology of engineering design is in transition from paper drawings to solid models, its education must address the challenge of covering both technologies. Geometry of design integrates drafting technology based on experience with engineering design education. This workbook has evolved from the course “Computer-Aided Graphics and Design” at the University of Florida, and many pages of this textbook can be used for student assignments. In order to help students to familiarize themselves with the manufacturing field experience, most assignments are to be submitted in the form of complete working drawings of the parts and assembly. The first three chapters introduce basic engineering drawing definitions and practices. The following four chapters cover design and descriptive geometry, and subsequent chapters move on to dimensions, assembly line design and surface development.

This new edition introduces the essential concepts of nonlinear finite element analysis (FEA) procedures. The textbook guides students in implementing nonlinear FEA programs and utilizes commercial software to address practical engineering problems. It thoroughly explains the fundamental theories and provides instructions on applying these concepts to tackle various engineering challenges. Rather than covering numerous nonlinear problems, the book focuses on four representative topics: nonlinear elasticity, elastoplasticity, contact problems, and dynamic problems, with an added chapter on nonlinear dynamics. The material is presented independently of any specific software, and the tutorials and examples utilize four commercial programs included in the appendices: ANSYS, NASTRAN, ABAQUS, and MATLAB. The MATLAB section includes all source codes, allowing students to develop material models or different algorithms. This edition introduces 2D plane strain elements, in addition to 3D solid element, with all the aforementioned functionalities. It includes fully integrated frictional contact analysis and explicit and implicit nonlinear dynamic analysis in the MATLAB programs.Introduction to Nonlinear Finite Element Analysis, Second Edition is designed for graduate students studying mechanical, civil, aerospace, biomedical, and industrial engineering. Researchers and practicing engineers in these disciplines will find it to be an invaluable professional reference.

This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:•Prognostics tutorials using least-squares•Bayesian inference and parameter estimation•Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter•Data-driven prognostics algorithms including Gaussian process regression and neural network•Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well asresearchers and maintenance engineers in the above fields.

This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:•Prognostics tutorials using least-squares•Bayesian inference and parameter estimation•Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter•Data-driven prognostics algorithms including Gaussian process regression and neural network•Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well asresearchers and maintenance engineers in the above fields.