Structural Modeling and Analysis

Structural Modeling and Analysis
  • Author : Clive L. Dym
  • Publisher : Cambridge University Press
  • Pages : 286
  • Relase : 1997-06-13
  • ISBN : 0521495369

Structural Modeling and Analysis Book Review:

A modern, unified introduction to structural modelling and analysis, with an emphasis on the application of energy methods.

Modeling for Structural Analysis

Modeling for Structural Analysis
  • Author : Graham Harcourt Powell
  • Publisher : Computers and Structures Incorporated
  • Pages : 365
  • Relase : 2010
  • ISBN : 0923907882

Modeling for Structural Analysis Book Review:

"Explains purpose and limitations of structural analysis as tool for designing buildings, other structures. Describes linear and nonlinear behavior of structures and structural components, and how to model this for analysis. Uses physical explanations rather than formal theory or mathematics. Reference for students, educators, practicing engineers at all levels"--

Finite Elements in Structural Analysis

Finite Elements in Structural Analysis
  • Author : Horst Werkle
  • Publisher : Springer Nature
  • Pages : 709
  • Relase : 2021-05-27
  • ISBN : 9783030498405

Finite Elements in Structural Analysis Book Review:

The book introduces the basic concepts of the finite element method in the static and dynamic analysis of beam, plate, shell and solid structures, discussing how the method works, the characteristics of a finite element approximation and how to avoid the pitfalls of finite element modeling. Presenting the finite element theory as simply as possible, the book allows readers to gain the knowledge required when applying powerful FEA software tools. Further, it describes modeling procedures, especially for reinforced concrete structures, as well as structural dynamics methods, with a particular focus on the seismic analysis of buildings, and explores the modeling of dynamic systems. Featuring numerous illustrative examples, the book allows readers to easily grasp the fundamentals of the finite element theory and to apply the finite element method proficiently.

Modeling of Creep for Structural Analysis

Modeling of Creep for Structural Analysis
  • Author : Konstantin Naumenko,Holm Altenbach
  • Publisher : Springer Science & Business Media
  • Pages : 220
  • Relase : 2007-04-06
  • ISBN : 9783540708391

Modeling of Creep for Structural Analysis Book Review:

This book develops methods to simulate and analyze the time-dependent changes of stress and strain states in engineering structures up to the critical stage of creep rupture. The objective of this book is to review some of the classical and recently proposed approaches to the modeling of creep for structural analysis applications. It also aims to extend the collection of available solutions of creep problems by new, more sophisticated examples.

Structural Modeling and Experimental Techniques, Second Edition

Structural Modeling and Experimental Techniques, Second Edition
  • Author : Harry G. Harris,Gajanan Sabnis
  • Publisher : CRC Press
  • Pages : 806
  • Relase : 1999-03-30
  • ISBN : 1420049585

Structural Modeling and Experimental Techniques, Second Edition Book Review:

Structural Modeling and Experimental Techniques presents a current treatment of structural modeling for applications in design, research, education, and product development. Providing numerous case studies throughout, the book emphasizes modeling the behavior of reinforced and prestressed concrete and masonry structures. Structural Modeling and Experimental Techniques: Concentrates on the modeling of the true inelastic behavior of structures Provides case histories detailing applications of the modeling techniques to real structures Discusses the historical background of model analysis and similitude principles governing the design, testing, and interpretation of models Evaluates the limitations and benefits of elastic models Analyzes materials for reinforced concrete masonry and steel models Assesses the critical nature of scale effects of model testing Describes selected laboratory techniques and loading methods Contains material on errors as well as the accuracy and reliability of physical modeling Examines dynamic similitude and modeling techniques for studying dynamic loading of structures Covers actual applications of structural modeling This book serves students in model analysis and experimental methods, professionals manufacturing and testing structural models, as well as professionals testing large or full-scale structures - since the instrumentation techniques and overall approaches for testing large structures are very similar to those used in small-scale modeling work.

Viscoelastic Modeling for Structural Analysis

Viscoelastic Modeling for Structural Analysis
  • Author : Jean Salençon
  • Publisher : John Wiley & Sons
  • Pages : 202
  • Relase : 2019-04-29
  • ISBN : 9781119618355

Viscoelastic Modeling for Structural Analysis Book Review:

The theory of viscoelasticity has been built up as a mechanical framework for modeling important aspects of the delayed behavior of a wide range of materials. This book, primarily intended for civil and mechanical engineering students, is devoted specifically to linear viscoelastic behavior within the small perturbation framework. The fundamental concepts of viscoelastic behavior are first presented from the phenomenological viewpoint of the basic creep and relaxation tests within the simple one-dimensional framework. The linearity and non-ageing hypotheses are introduced successively, with the corresponding expressions of the constitutive law in the form of Boltzmann’s integral operators and Riemann’s convolution products respectively. Applications to simple quasi-static processes underline the dramatic and potentially catastrophic consequences of not taking viscoelastic delayed behavior properly into account at the design stage. Within the three-dimensional continuum framework, the linear viscoelastic constitutive equation is written using compact mathematical notations and takes material symmetries into account. The general analysis of quasi-static linear viscoelastic processes enhances similarities with, and differences from, their elastic counterparts. Simple typical case studies illustrate the importance of an in-depth physical understanding of the problem at hand prior to its mathematical analysis.

Meta-Analysis

Meta-Analysis
  • Author : Mike W.-L. Cheung
  • Publisher : John Wiley & Sons
  • Pages : 401
  • Relase : 2015-05-06
  • ISBN : 9781119993438

Meta-Analysis Book Review:

Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.

Modeling High Temperature Materials Behavior for Structural Analysis

Modeling High Temperature Materials Behavior for Structural Analysis
  • Author : Konstantin Naumenko,Holm Altenbach
  • Publisher : Springer
  • Pages : 371
  • Relase : 2016-05-11
  • ISBN : 9783319316291

Modeling High Temperature Materials Behavior for Structural Analysis Book Review:

This monograph presents approaches to characterize inelastic behavior of materials and structures at high temperature. Starting from experimental observations, it discusses basic features of inelastic phenomena including creep, plasticity, relaxation, low cycle and thermal fatigue. The authors formulate constitutive equations to describe the inelastic response for the given states of stress and microstructure. They introduce evolution equations to capture hardening, recovery, softening, ageing and damage processes. Principles of continuum mechanics and thermodynamics are presented to provide a framework for the modeling materials behavior with the aim of structural analysis of high-temperature engineering components.

Structural Modeling by Example

Structural Modeling by Example
  • Author : Peter Cuttance,Russell Ecob
  • Publisher : Cambridge University Press
  • Pages : 332
  • Relase : 2009-07-02
  • ISBN : 0521115248

Structural Modeling by Example Book Review:

Structural Modelling by Example offers a comprehensive overview of the application of structural equation models in the social and behavioral sciences and in educational research. It is devoted in nearly equal proportions to substantive issues and to methodological ones. The substantive section comprises case studies of the use of these models in a number of disciplines. The authors emphasize the reasons for modelling by these methods, the processes involved in defining the model, and the interpretation of the results. The methodological section comprises investigations of the behavior of structural equation modelling methods under a number of conditions. The aim is to clarify the situations in which these methods can usefully be applied and the interpretations that can be made. All researchers with a basic understanding of regression and factor analysis will find this book to be an invaluable resource as they seek to evaluate the possibilities of these new approaches for their own data.

Modeling and Simulation Techniques in Structural Engineering

Modeling and Simulation Techniques in Structural Engineering
  • Author : Samui, Pijush,Chakraborty, Subrata,Kim, Dookie
  • Publisher : IGI Global
  • Pages : 524
  • Relase : 2016-08-12
  • ISBN : 9781522505891

Modeling and Simulation Techniques in Structural Engineering Book Review:

The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. As computational methods continue to advance, so too do their applications in structural performance modeling and analysis. Modeling and Simulation Techniques in Structural Engineering presents emerging research on computational techniques and applications within the field of structural engineering. This timely publication features practical applications as well as new research insights and is ideally designed for use by engineers, IT professionals, researchers, and graduate-level students.

Composite-Based Structural Equation Modeling

Composite-Based Structural Equation Modeling
  • Author : Jörg Henseler
  • Publisher : Guilford Publications
  • Pages : 364
  • Relase : 2020-12-24
  • ISBN : 9781462545612

Composite-Based Structural Equation Modeling Book Review:

This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jörg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importance–performance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.

Applied Structural Equation Modeling using AMOS

Applied Structural Equation Modeling using AMOS
  • Author : Joel E. Collier
  • Publisher : Routledge
  • Pages : 354
  • Relase : 2020-05-25
  • ISBN : 9781000066319

Applied Structural Equation Modeling using AMOS Book Review:

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.

Modeling Complex Engineering Structures

Modeling Complex Engineering Structures
  • Author : Robert E. Melchers,Richard Hough
  • Publisher : Amer Society of Civil Engineers
  • Pages : 359
  • Relase : 2007
  • ISBN : 0784408505

Modeling Complex Engineering Structures Book Review:

Melchers and Hough provide an overview of cutting-edge developments in computational theory and techniques as currently applied in various fields of structural analysis, in the United States and around the world.

Principles and Practice of Structural Equation Modeling, Fourth Edition

Principles and Practice of Structural Equation Modeling, Fourth Edition
  • Author : Rex B. Kline
  • Publisher : Guilford Publications
  • Pages : 553
  • Relase : 2015-11-03
  • ISBN : 9781462523351

Principles and Practice of Structural Equation Modeling, Fourth Edition Book Review:

New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.

Structural Equation Modeling

Structural Equation Modeling
  • Author : Jichuan Wang,Xiaoqian Wang
  • Publisher : John Wiley & Sons
  • Pages : 536
  • Relase : 2019-09-17
  • ISBN : 9781119422723

Structural Equation Modeling Book Review:

Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model. The statistical modeling program Mplus Version 8.2 is featured with all models updated. It provides researchers with a flexible tool that allows them to analyze data with an easy-to-use interface and graphical displays of data and analysis results. Intended as both a teaching resource and a reference guide, and written in non-mathematical terms, Structural Equation Modeling: Applications Using Mplus, 2nd edition provides step-by-step instructions of model specification, estimation, evaluation, and modification. Chapters cover: Confirmatory Factor Analysis (CFA); Structural Equation Models (SEM); SEM for Longitudinal Data; Multi-Group Models; Mixture Models; and Power Analysis and Sample Size Estimate for SEM. Presents a useful reference guide for applications of SEM while systematically demonstrating various advanced SEM models Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes Provides step-by-step instructions of model specification and estimation, as well as detailed interpretation of Mplus results using real data sets Introduces different methods for sample size estimate and statistical power analysis for SEM Structural Equation Modeling is an excellent book for researchers and graduate students of SEM who want to understand the theory and learn how to build their own SEM models using Mplus.

Multi-Criteria Decision Analysis in Management

Multi-Criteria Decision Analysis in Management
  • Author : Behl, Abhishek
  • Publisher : IGI Global
  • Pages : 422
  • Relase : 2020-02-01
  • ISBN : 9781799822189

Multi-Criteria Decision Analysis in Management Book Review:

Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.

Troubleshooting Finite-Element Modeling with Abaqus

Troubleshooting Finite-Element Modeling with Abaqus
  • Author : Raphael Jean Boulbes
  • Publisher : Springer Nature
  • Pages : 439
  • Relase : 2019-09-06
  • ISBN : 9783030267407

Troubleshooting Finite-Element Modeling with Abaqus Book Review:

This book gives Abaqus users who make use of finite-element models in academic or practitioner-based research the in-depth program knowledge that allows them to debug a structural analysis model. The book provides many methods and guidelines for different analysis types and modes, that will help readers to solve problems that can arise with Abaqus if a structural model fails to converge to a solution. The use of Abaqus affords a general checklist approach to debugging analysis models, which can also be applied to structural analysis. The author uses step-by-step methods and detailed explanations of special features in order to identify the solutions to a variety of problems with finite-element models. The book promotes: • a diagnostic mode of thinking concerning error messages; • better material definition and the writing of user material subroutines; • work with the Abaqus mesher and best practice in doing so; • the writing of user element subroutines and contact features with convergence issues; and • consideration of hardware and software issues and a Windows HPC cluster solution. The methods and information provided facilitate job diagnostics and help to obtain converged solutions for finite-element models regarding structural component assemblies in static or dynamic analysis. The troubleshooting advice ensures that these solutions are both high-quality and cost-effective according to practical experience. The book offers an in-depth guide for students learning about Abaqus, as each problem and solution are complemented by examples and straightforward explanations. It is also useful for academics and structural engineers wishing to debug Abaqus models on the basis of error and warning messages that arise during finite-element modelling processing.

Non-linear Modeling and Analysis of Solids and Structures

Non-linear Modeling and Analysis of Solids and Structures
  • Author : Steen Krenk
  • Publisher : Cambridge University Press
  • Pages : 361
  • Relase : 2009-08-06
  • ISBN : 9780521830546

Non-linear Modeling and Analysis of Solids and Structures Book Review:

Finite element analysis for non-linear solids and structure porblems.

Structural Equation Modeling

Structural Equation Modeling
  • Author : David Kaplan
  • Publisher : SAGE Publications
  • Pages : 272
  • Relase : 2008-07-23
  • ISBN : 9781483342597

Structural Equation Modeling Book Review:

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.

Generalized Structured Component Analysis

Generalized Structured Component Analysis
  • Author : Heungsun Hwang,Yoshio Takane
  • Publisher : CRC Press
  • Pages : 346
  • Relase : 2014-12-11
  • ISBN : 9781466592940

Generalized Structured Component Analysis Book Review:

Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner. Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling provides a detailed account of this novel statistical methodology and its various extensions. The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples. The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research. The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis.