Engineering computation under uncertainty - Capabilities of non-traditional models
Computers and Structures
Reliability bounds through random sets: Non-parametric methods and geotechnical applications
Computers and Structures
Stochastic seismic response analysis of structures exhibiting high nonlinearity
Computers and Structures
Efficient strategies for reliability-based optimization involving non-linear, dynamical structures
Computers and Structures
Reliability sensitivity estimation of linear systems under stochastic excitation
Computers and Structures
General purpose software for efficient uncertainty management of large finite element models
Finite Elements in Analysis and Design
On the application of intervening variables for stochastic finite element analysis
Computers and Structures
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The treatment of uncertainties in the analysis of engineering structures remains one of the premium challenges in modern structural mechanics. It is only in recent years that the developments in stochastic and deterministic computational mechanics began to be synchronized. To foster these developments, novel computational procedures for the uncertainty assessment of large finite element systems are presented in this monograph. The stochastic input is modeled by the so-called Karhunen-Love expansion, which is formulated in this context both for scalar and vector stochastic processes as well as for random fields. Particularly for strongly non-linear structures and systems the direct Monte Carlo simulation technique has proven to be most advantageous as method of solution. The capabilities of the developed procedures are demonstrated by showing some practical applications.