Influence of soil type on damping reduction factor: A stochastic analysis based on peak theory

• Published in: Soil dynamics and earthquake engineering (1984) Vol. 104; pp. 365 - 368
• Main Authors: Greco, Rita, Fiore, Alessandra, Briseghella, Bruno
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.01.2018; Elsevier BV
• Subjects: Building codes; Damping; Damping reduction factor; Earthquake dampers; Earthquake prediction; Earthquakes; Formulations; Peak theory of stochastic process; Random vibration; Reduction; Seismic activity; Seismic engineering; Seismic response; Seismic response spectrum; Seismology; Soil types; Stationary processes; Stochastic processes; Vibration; Peak theory of stochastic process; Seismic response spectrum; Damping reduction factor
• ISSN: 0267-7261; 1879-341X
• DOI: 10.1016/j.soildyn.2017.10.020

Damping reduction factor plays a central role both in scientific literature and seismic codes, but still now proposed formulations show a quite large scatter. The main goal of the present work is to explore a new definition of the damping reduction factor. The concept of stochastic response spectrum is adopted in order to predict the earthquake response of a linear SDoF system, on the basis of the random vibration theory for non-stationary process. The peak of the response of a SDoF system under a non-stationary stochastic process is used to define the stochastic displacement spectrum. The damping reduction factor is thus evaluated as the ratio between the maximum displacement of systems with a given damping and a conventional one subject to the same earthquake. •Damping reduction factors plays a central role both in scientific literature and seismic codes, but still now proposed formulations show a quite large scatter.•The concept of stochastic response spectrum is used for predicting the earthquake response of a structural system by adopting the random vibration theory for non-stationary processes.•The peak of the response of a SDoF system under a non-stationary stochastic process is used to define the stochastic displacement spectrum.