Automated Structural Analysis


Book Description

Automated Structural Analysis: An Introduction is a ten-chapter book that first discusses the ideas or laws fundamental to structures. Subsequent chapters describe the node method; node method for trusses, plane frames, and space frames; and the primitive stiffness matrix. The mesh method and Kron's methods are also reported. This book will be useful for undergraduates involved in structural analysis.




Introduction to Frame Analysis


Book Description

This textbook presents the principal methods of stress analysis for the design of frame structures, beginning with a description of the basic criteria for probabilistic safety verification used in modern codes. The Force Method and the Displacement Method are dealt with, together with their applications to more common structural situations. A special chapter is dedicated to the second order analysis required for slender structures and for the elaboration of instability problems. In turn, a thorough set of numerical examples rounds out the text. Given its scope, the book offers an ideal learning resource for students of Civil and Building Engineering and Architecture, and a valuable reference guide for practicing structural design professionals.




Operational Modal Analysis of Civil Engineering Structures


Book Description

This book covers all aspects of operational modal analysis for civil engineering, from theoretical background to applications, including measurement hardware, software development, and data processing. In particular, this book provides an extensive description and discussion of OMA methods, their classification and relationship, and advantages and drawbacks. The authors cover both the well-established theoretical background of OMA methods and the most recent developments in the field, providing detailed examples to help the reader better understand the concepts and potentialities of the technique. Additional material is provided (data, software) to help practitioners and students become familiar with OMA. Covering a range of different aspects of OMA, always with the application in mind, the practical perspective adopted in this book makes it ideal for a wide range of readers from researchers to field engineers; graduate and undergraduate students; and technicians interested in structural dynamics, system identification, and Structural Health Monitoring. This book also: Analyzes OMA methods extensively, providing details on implementation not easily found in the literature Offers tutorial for development of customized measurement and data processing systems for LabView and National Instruments programmable hardware Discusses different solutions for automated OMA Contains many explanatory applications on real structures Provides detail on applications of OMA beyond system identification, such as (vibration based monitoring, tensile load estimation, etc.) Includes both theory and applications




Introduction to Structures


Book Description

This book focuses on the changes made in building science and practice by the advent of computers. It explains many more tools now available in the contemporary engineering environment. The book discusses the more commonly used topics of structural failure, cable-nets and fabric structures, and topics of non-linear analysis. Problems with solutions are provided. - Focusses on the changes made in building science and practice by the advent of computers - Discusses structural failure, cable-nets and fabric structures, and topics of non-linear analysis - Chapters discuss statically determinate and indeterminate structures, deflections of structures and provides solutions to problems




Proceedings of International Conference on Intelligent Manufacturing and Automation


Book Description

This book gathers selected papers presented at the Second International Conference on Intelligent Manufacturing and Automation (ICIMA 2020), which was jointly organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering (DJSCE), Mumbai, and by the Indian Society of Manufacturing Engineers (ISME). Covering a range of topics in intelligent manufacturing, automation, advanced materials and design, it focuses on the latest advances in e.g. CAD/CAM/CAE/CIM/FMS in manufacturing, artificial intelligence in manufacturing, IoT in manufacturing, product design & development, DFM/DFA/FMEA, MEMS & nanotechnology, rapid prototyping, computational techniques, nano- & micro-machining, sustainable manufacturing, industrial engineering, manufacturing process management, modelling & optimization techniques, CRM, MRP & ERP, green, lean & agile manufacturing, logistics & supply chain management, quality assurance & environmental protection, advanced material processing & characterization of composite & smart materials. The book is intended as a reference guide for future researchers, and as a valuable resource for students in graduate and doctoral programmes.




NASA Technical Paper


Book Description




Matrix Structural Analysis


Book Description

Matrix Structural Analysis focuses on the theory and practical application of matrix structural analysis. Organized into seven chapters, this book first describes the matrix algebra and the fundamental structural concepts and principles which are directly related to the development of the matrix methods. Subsequent chapters present the theory and application of the direct stiffness matrix method and matrix force method to structural analysis. The element stiffness matrices of lifting surface type structures and the general theory of analysis by structural partitioning are also presented. This book will be useful for students and practicing engineer as a quick reference material in this field of interest.




Proceedings


Book Description







Statistical Methods for Materials Science


Book Description

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.