Develop more advanced structural models with this must-have text
Recent technological advances have made computer models an integral part of structural design. In particular, nonlinear matrix structural analysis has permitted the widespread deployment of advanced analytical techniques to model, for instance, structural frames subjected to extreme loads. No existing text, however, introduces both linear and nonlinear matrix structural analysis for the benefit of structural engineers.
Linear and Nonlinear Methods of Matrix Structural Analysis meets this need with a thorough and practical overview of these techniques and their applications in structural design. Moving from fundamentals to more advanced subjects, this volume permits informed decision-making about the creation and assessment of structural models. It promises to equip structural engineers with a new and cutting-edge set of analytical tools.
Linear and Nonlinear Methods of Matrix Structural Analysis readers will also find:
Linear and Nonlinear Methods of Matrix Structural Analysis is ideal for graduate and advanced undergraduate students in structural engineering, civil engineering and related subjects.
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Ann E. Jeffers is Associate Professor in the Department of Civil and Environmental Engineering at the University of Michigan, USA. She has taught and published widely on structural analysis, engineering for natural and manmade hazards, multiphysics simulation, and other related subjects.
Develop more advanced structural models with this must-have text
Recent technological advances have made computer models an integral part of structural design. In particular, nonlinear matrix structural analysis has permitted the widespread deployment of advanced analytical techniques to model, for instance, structural frames subjected to extreme loads. No existing text, however, introduces both linear and nonlinear matrix structural analysis for the benefit of structural engineers.
Linear and Nonlinear Methods of Matrix Structural Analysis meets this need with a thorough and practical overview of these techniques and their applications in structural design. Moving from fundamentals to more advanced subjects, this volume permits informed decision-making about the creation and assessment of structural models. It promises to equip structural engineers with a new and cutting-edge set of analytical tools.
Linear and Nonlinear Methods of Matrix Structural Analysis readers will also find:
Linear and Nonlinear Methods of Matrix Structural Analysis is ideal for graduate and advanced undergraduate students in structural engineering, civil engineering and related subjects.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Hardcover. Zustand: new. Hardcover. Develop more advanced structural models with this must-have text Recent technological advances have made computer models an integral part of structural design. In particular, nonlinear matrix structural analysis has permitted the widespread deployment of advanced analytical techniques to model, for instance, structural frames subjected to extreme loads. No existing text, however, introduces both linear and nonlinear matrix structural analysis for the benefit of structural engineers. Linear and Nonlinear Methods of Matrix Structural Analysis meets this need with a thorough and practical overview of these techniques and their applications in structural design. Moving from fundamentals to more advanced subjects, this volume permits informed decision-making about the creation and assessment of structural models. It promises to equip structural engineers with a new and cutting-edge set of analytical tools. Linear and Nonlinear Methods of Matrix Structural Analysis readers will also find: Detailed discussion of how to produce code for performing linear and nonlinear matrix structural analysisCoverage of how to analyze trusses, beams, and frames under different loadsA discussion of advanced topics like connections, joints, slabs, shear walls, and pushover analysisLearning objectives, worked-through examples, and end-of-chapter problems to facilitate concept acquisition and retention Linear and Nonlinear Methods of Matrix Structural Analysis is ideal for graduate and advanced undergraduate students in structural engineering, civil engineering and related subjects. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781119864578
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Hardback. Zustand: New. Develop more advanced structural models with this must-have text Recent technological advances have made computer models an integral part of structural design. In particular, nonlinear matrix structural analysis has permitted the widespread deployment of advanced analytical techniques to model, for instance, structural frames subjected to extreme loads. No existing text, however, introduces both linear and nonlinear matrix structural analysis for the benefit of structural engineers. Linear and Nonlinear Methods of Matrix Structural Analysis meets this need with a thorough and practical overview of these techniques and their applications in structural design. Moving from fundamentals to more advanced subjects, this volume permits informed decision-making about the creation and assessment of structural models. It promises to equip structural engineers with a new and cutting-edge set of analytical tools. Linear and Nonlinear Methods of Matrix Structural Analysis readers will also find: Detailed discussion of how to produce code for performing linear and nonlinear matrix structural analysisCoverage of how to analyze trusses, beams, and frames under different loadsA discussion of advanced topics like connections, joints, slabs, shear walls, and pushover analysisLearning objectives, worked-through examples, and end-of-chapter problems to facilitate concept acquisition and retention Linear and Nonlinear Methods of Matrix Structural Analysis is ideal for graduate and advanced undergraduate students in structural engineering, civil engineering and related subjects. Bestandsnummer des Verkäufers LU-9781119864578
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