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Structural dynamics. --- Structural dynamics --- Building dynamics --- Dynamics, Structural --- Structural vibration --- Strains and stresses --- Structural analysis (Engineering)
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The purpose of writing this book is to provide the latest research findings in ground control techniques in mining engineering, especially the rock bolting techniques. Since rock bolts are widely used in mining engineering and civil engineering, they are significant in guaranteeing the safety of underground openings. However, instability issues still occur with the rock bolting technique. Therefore, it is valuable to understand the exact load transfer mechanism of rock bolts. This book summarised the recent research work regarding rock bolting conducted by the authors. It is valuable for the readers to fully understand the reinforcing mechanism of fully grouted rock bolts. This book focuses on the bond failure mode of fully grouted rock bolts, which is the most widely encountered failure mode in rock bolting. Different investigation approaches are used in this book, including numerical simulation, analytical modelling and experimental tests. Therefore, this book conducts a comprehensive study to reveal the bond failure process of fully grouted rock bolts. Moreover, it reveals the corresponding bond failure mechanism. Therefore, it helps the reads to fully understand the bond failure mechanism of rock bolting. Moreover, it helps the readers to develop new approaches and methods to prevent failure of the rock bolting system. This is an open access book.
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Structural vibration control is designed to suppress and control any unfavorable vibration due to dynamic forces that could alter the performance of the structure. Although many vibration control schemes have been investigated so far, additional questions involving their practical application remain to be studied. This book provides the reader with a comprehensive overview of the state of the art in vibration control and safety of structures, in the form of an easy-to-follow, article-based presentation that focuses on selected major developments in this critically important area.
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"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"-- "The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full datasets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters. "--
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