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Seismic Assessment of Steel Moment Frames Using Simplified Nonlinear Models

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Computational Methods in Earthquake Engineering

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 30))

Abstract

This chapter discusses the effectiveness of simplified nonlinear models for seismic assessment of steel moment frames using single and multi-mode nonlinear static methods. It is demonstrated that the nonlinear static procedure (NSP) has much value in understanding important behavior characteristics that are not being explored in a nonlinear response history analysis (NRHA) in which engineers usually focus on a “blind” demand/capacity assessment rather than interpretation and visualization of the steel frame behavior. It is also shown that NSP procedures have many limitations for quantitative assessment of steel moment frame demands even for low-rise frames. The conclusion is that both NSP and NRHA have intrinsic value and that it is advisable to employ a combination of both to understand seismic performance of steel moment frames and to quantify important engineering demand parameters for these lateral resisting structural systems.

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Acknowledgements

This study relies on results obtained under Task Order 6 of the NEHRP Consultants Joint Venture (a partnership of the Applied Technology Council and Consortium of Universities for Research in Earthquake Engineering), under Contract SB134107CQ0019, Earthquake Structural and Engineering Research, issued by the National Institute of Standards and Technology. The views expressed do not necessarily represent those of the organizations identified above.

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Correspondence to Dimitrios G. Lignos .

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Lignos, D.G., Putman, C., Krawinkler, H. (2013). Seismic Assessment of Steel Moment Frames Using Simplified Nonlinear Models. In: Papadrakakis, M., Fragiadakis, M., Plevris, V. (eds) Computational Methods in Earthquake Engineering. Computational Methods in Applied Sciences, vol 30. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6573-3_5

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  • DOI: https://doi.org/10.1007/978-94-007-6573-3_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6572-6

  • Online ISBN: 978-94-007-6573-3

  • eBook Packages: EngineeringEngineering (R0)

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