Abstracts Archive

ORAL presentation is preferred A NOVEL STOCHASTIC METHODOLOGY FOR THE GENERATION OF ARTIFICIAL SEISMIC ACCELEROGRAMS H. Yanni1, M. Fragiadakis1, and I. P. Mitseas1,2 1 School of Civil Engineering, National Technical University of Athens, Greece 2 School of Civil Engineering, University of Leeds, Uni...

In this paper a novel approach is developed for the estimation of evolutionary cross-spectral density functions of bivariate nonstationary random processes that can be used as models of earthquake accelerograms. Specifically, the spectra are estimated by determining the statistical moments of an ene...

This paper is concerned with the prediction of the high frequency shock response of a complex system that has uncertain properties. A fundamental aspect of the method is the representation of the response in a combination of the time and frequency domains. This type of description is commonly used i...

The question of predicting the long-term evolution of a mechanical structure in operation (e.g. fatigue) faces the associated issue of computational cost, particularly when the problem is intended to be numerically solved in the time domain (which can be required to account for the history of loads ...

Incremental dynamic analysis (IDA) constitutes one of the most commonly employed methodologies for estimating the functional relationship between the Intensity Measures (IMs) and the selected Engineering Demand Parameters (EDPs). Subsequently, the information provided via this functional relationshi...

Efficient reliability analysis of complex systems is essential in risk engineering and management. The goal is not only to determine the reliability of a system but also to understand system behavior that leads to critical failure and assess possible effects. A thorough reliability analysis addition...

An approximate analytical technique is developed for bounding the response and first-passage probability of lightly damped nonlinear oscillators endowed with fractional derivative elements and subjected to imprecise Gaussian loads. The direct identification of such bounds leads to a so-called double...

In numerous regions of the world, buildings and structures are exposed to environmental influences and are thus prone to damage or failure. To design safe structures or assess the reliability of existing structures, the modelling of environmental processes is crucial in engineering, particularly in ...

Stochastic dynamic analysis of structures to turbulent wind loading has been widely recognised since its conception back in 1961, for its effectiveness and computational power with respect to classical deterministic time domain Monte Carlo simulations. It also allows to have a better understanding o...

In the field of ground motion simulation, the stochastic site-based methodology relies on the existing database of ground shaking. Based on these methodologies, several properties of seismic signals are used to simulate seismic waves. These parameters could be evaluated either parametrically via lin...

Model updating bridges the gap between experimentation and simulations, building trust in the model predictions. Stochastic model updating (SMU) gives a better understanding of the effect of uncertainties in the structure due to modelling errors, measurement errors and imprecise assumptions of bound...

This paper is dedicated to identifying the damage of simple structures by the Hamiltonian Monte Carlo(HMC) method. The data studied in this paper comes from the response of numerically simulated simple structures with a randomly distributed damage area. The uncertainties innated in the randomly gene...