Response Spectrum Method: In Seismic Analysis of Structural Systems and Components, Second Edition
Author: Ajaya Kumar Gupta (Author) | Size: ? MB | Format: PDF | Quality: Unspecified | Publisher: CRC Press | Year: 2011 | pages: 300 | ISBN: 084939256X - 978-0849392566
The response spectrum method and the simplified techniques derived from it have become popular methods of seismic analysis and design. Including information garnered from research performed since the first edition, this new edition provides a complete single-source review of past and current research. The book features a new chapter on approximate seismic analysis of piping systems, and it also includes new downloadable modeling software that reflects recent developments discussed in the text. This text also covers new concepts, such as uniform hazard spectra and approximate Ritz-vector modeling.
----------------
Table of Contents
Structural Dynamics and Response Spectrum. Design Spectrum. Combination of Modal Responses. Response to Multicomponents of Earthquake. Nonclassically Damped Systems. Response of Secondary Systems. Decoupled Primary System Analysis. Seismic Response of Buildings. Approximate Seismic Analysis of Piping Systems.
------------------
Presents state-of-the-art information on the response spectrum method
Features new chapter on building design
Includes new downloadable modeling software
Provides a training manual and other course material for qualified instructors
Summary
The response spectrum method and the simplified techniques derived from it have become popular methods of seismic analysis and design. Including information garnered from research performed since the first edition, this new edition provides a complete single-source review of past and current research. The book features a new chapter on approximate seismic analysis of piping systems, and it also includes new downloadable modeling software that reflects recent developments discussed in the text. This text also covers new concepts, such as uniform hazard spectra and approximate Ritz-vector modeling.