{"title":"Simulation of Dynamic Behavior of Seismic Isolators Using a Parallel Elasto-Plastic Model","authors":"Nicol\u00f2 Vaiana, Giorgio Serino","country":null,"institution":"","volume":122,"journal":"International Journal of Civil and Environmental Engineering","pagesStart":185,"pagesEnd":192,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10006424","abstract":"In this paper, a one-dimensional (1d) Parallel Elasto-
\r\nPlastic Model (PEPM), able to simulate the uniaxial dynamic
\r\nbehavior of seismic isolators having a continuously decreasing
\r\ntangent stiffness with increasing displacement, is presented. The
\r\nparallel modeling concept is applied to discretize the continuously
\r\ndecreasing tangent stiffness function, thus allowing to simulate the
\r\ndynamic behavior of seismic isolation bearings by putting linear
\r\nelastic and nonlinear elastic-perfectly plastic elements in parallel. The
\r\nmathematical model has been validated by comparing the
\r\nexperimental force-displacement hysteresis loops, obtained testing a
\r\nhelical wire rope isolator and a recycled rubber-fiber reinforced
\r\nbearing, with those predicted numerically. Good agreement between
\r\nthe simulated and experimental results shows that the proposed
\r\nmodel can be an effective numerical tool to predict the forcedisplacement
\r\nrelationship of seismic isolators within relatively large
\r\ndisplacements. Compared to the widely used Bouc-Wen model, the
\r\nproposed one allows to avoid the numerical solution of a first order
\r\nordinary nonlinear differential equation for each time step of a
\r\nnonlinear time history analysis, thus reducing the computation effort,
\r\nand requires the evaluation of only three model parameters from
\r\nexperimental tests, namely the initial tangent stiffness, the asymptotic
\r\ntangent stiffness, and a parameter defining the transition from the
\r\ninitial to the asymptotic tangent stiffness.","references":null,"publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 122, 2017"}