An introduction to matrix structural analysis and finite element methods [electronic resource] / Jean H. Prevost, Serguei Bagrianski.
By: Prevost, Jean H
.
Contributor(s): Bagrianski, Serguei.
Material type: 
Computer filePublisher: Singapore : World Scientific Publishing Co. Pte Ltd., 2017Description: 1 online resource (308 p.).ISBN: 9789813206793.Subject(s): Structural analysis (Engineering) | Finite element method | Electronic booksDDC classification: 624.1/70151825 Online resources: Access to full text is restricted to subscribers. Summary: "This comprehensive volume is unique in presenting the typically decoupled fields of Matrix Structural Analysis (MSA) and Finite Element Methods (FEM) in a cohesive framework. MSA is used not only to derive formulations for truss, beam, and frame elements, but also to develop the overarching framework of matrix analysis. FEM builds on this foundation with numerical approximation techniques for solving boundary value problems in steady-state heat and linear elasticity. Focused on coding, the text guides the reader from first principles to explicit algorithms. This intensive, code-centric approach actively prepares the student or practitioner to critically assess the performance of commercial analysis packages and explore advanced literature on the subject."-- Publisher's website.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
Title from web page (viewed January 16, 2019).
Includes bibliographical references (p. 289) and index.
"This comprehensive volume is unique in presenting the typically decoupled fields of Matrix Structural Analysis (MSA) and Finite Element Methods (FEM) in a cohesive framework. MSA is used not only to derive formulations for truss, beam, and frame elements, but also to develop the overarching framework of matrix analysis. FEM builds on this foundation with numerical approximation techniques for solving boundary value problems in steady-state heat and linear elasticity. Focused on coding, the text guides the reader from first principles to explicit algorithms. This intensive, code-centric approach actively prepares the student or practitioner to critically assess the performance of commercial analysis packages and explore advanced literature on the subject."-- Publisher's website.
There are no comments for this item.