Structural Modeling and Analysis

Structural Modeling and Analysis
Author: Clive L. Dym
Publisher: Cambridge University Press
Total Pages: 286
Release: 1997-06-13
Genre: Science
ISBN: 9780521495363

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
Total Pages: 365
Release: 2010
Genre: Structural analysis (Engineering)
ISBN: 9780923907884

"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"--

Modern Structural Analysis

Modern Structural Analysis
Author: Iain Alasdair MacLeod
Publisher: Thomas Telford
Total Pages: 214
Release: 2005
Genre: Technology & Engineering
ISBN: 9780727732798

In the past, the main difficulties in structural analysis lay in the solution process, now model development is a fundamental issue. This work sets out the basic principles for structural analysis modelling and discusses basic processes for using modern software.

Essentials of Structural Equation Modeling

Essentials of Structural Equation Modeling
Author: Mustafa Emre Civelek
Publisher: Lulu.com
Total Pages: 120
Release: 2018-03-12
Genre: Business & Economics
ISBN: 1609621298

Structural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. Many universities do not include this method in the curriculum, so students and scholars try to solve these problems using books and internet resources. This book aims to guide the researcher in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling practically. For students writing theses and scholars preparing academic articles, this book aims to analyze systematically the methodology of studies conducted using structural equation modeling methods in the social sciences. In as simple language as possible, it conveys basic information. It consists of two parts: the first gives basic concepts of structural equation modeling, and the second gives examples of applications.

Structural Modeling and Experimental Techniques, Second Edition

Structural Modeling and Experimental Techniques, Second Edition
Author: Harry G. Harris
Publisher: CRC Press
Total Pages: 806
Release: 1999-03-30
Genre: Technology & Engineering
ISBN: 9781420049589

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.

Structural Analysis and Modelling

Structural Analysis and Modelling
Author: Yucheng Liu
Publisher: Nova Science Publishers
Total Pages: 0
Release: 2013
Genre: Engineering models
ISBN: 9781626186743

This book examines and determine the effects of loads on physical structures and their components. This technology substantially incorporates a number of science and engineering fields, such as material science, applied mechanics, chemistry, mechanical and engineering design, computational simulation, earthquake engineering, architecture, and pharmacological, etc. Therefore, investigation on the research and development of structural analysis and modelling is of great significance and will have profound potential impact on the above areas. This book examines the recent studies and achievements made in the structural analysis and modelling. In the book, Chapters 1 to 5 demonstrate the structural properties and molecular dynamics of chemical materials that are extensively applied in chemistry, chemical engineering, and pharmaceutical. Chapters 6 to 10 present analytical and numerical modelling and analysis of engineering materials and structures, such as honeycomb structures with cellular materials, elastic/plastic discs, stiffened plates, and civil aircraft. Chapters 11 and 12 discuss the structural behaviour and seismic response of engineering architectures through a thorough seismic analysis. The Chapters in this book testify to the vitality of structural analysis and modelling and illustrate the considerable potential for use of these techniques in the future. The book is intended to serve as a reference for researchers and engineers, as well as graduate students.

Composite-Based Structural Equation Modeling

Composite-Based Structural Equation Modeling
Author: Jörg Henseler
Publisher: Guilford Publications
Total Pages: 387
Release: 2020-12-24
Genre: Social Science
ISBN: 1462545610

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.

Principles and Practice of Structural Equation Modeling

Principles and Practice of Structural Equation Modeling
Author: Rex B. Kline
Publisher: Guilford Publications
Total Pages: 554
Release: 2015-10-08
Genre: Social Science
ISBN: 1462523005

This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.

Generalized Structured Component Analysis

Generalized Structured Component Analysis
Author: Heungsun Hwang
Publisher: CRC Press
Total Pages: 346
Release: 2014-12-11
Genre: Mathematics
ISBN: 146659294X

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.