Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
International Journal for Uncertainty Quantification
IF: 0.967 5-Year IF: 1.301

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Open Access

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.20
pages 95-110

ROBUST STOCHASTIC DESIGN OF BASE-ISOLATED STRUCTURAL SYSTEMS

Hector Jensen
Departmento de Obras Civiles, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile
Juan Sepulveda
Departmento de Obras Civiles, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile
Luis Becerra
Departmento de Obras Civiles, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile

ABSTRACT

The development of a general framework for robust reliability-based design of base-isolated structural systems under uncertain conditions is presented. The uncertainties about the structural parameters as well as the variability of future excitations are characterized in a probabilistic manner. Isolation elements composed of nonlinear lead rubber bearings are used to model the isolation system. The optimal design problem is formulated as a nonlinear constrained minimization problem involving multiple design requirements, including reliability constraints related to the structural performance. Failure events defined by a large number of random variables are used to characterize the reliability of the system. A sequential optimization approach based on global conservative, convex, and separable approximations is implemented for solving the optimization problem. An example problem that considers a 10-story building under stochastic ground excitation illustrates the beneficial effects of base-isolation systems in reducing the superstructure response.