Abstract
In this article a ground motion selection and modification (GMSM) method is presented, suitable for the probabilistic seismic assessment of the damage state and collapse potential of building structures. The objective is to predict the probability distribution of the engineering demand parameters in a future earthquake event, provided that the spectral acceleration at the fundamental period of the structure is given. The GMSM method uses a vector-valued intensity measure that incorporates the Normalized Spectral Area parameter. Through stratified sampling on the Normalized Spectral Area, optimised ground motion suites are formed. Its advantage over other GMSM methods is that it implicitly matches the multivariate distribution of the response spectrum in the region of the structure elongated period, and it adopts an unbiased estimator of the response central tendency. The GMSM method is applied in the probabilistic response assessment of a first-mode dominated multi-degree-of-freedom system that represents a ten-storey building. Substantial reduction in the computational work is achieved, compared to another method.
Highlights
A ground motion selection and modification (GMSM) method is presented, suitable for the probabilistic seismic assessment of the damage state and collapse potential of building structures
Its advantage over other GMSM methods is that it implicitly matches the multivariate distribution of the response spectrum in the region of the structure elongated period, and it adopts an unbiased estimator of the engineering demand parameters (EDPs) central tendency
Since IMT is an unbiased estimator of the mean IMT, and EDPT is a linear function of IMT, it is proved that EDPT is an unbiased estimator of the theoretical mean EDPT
Summary
A ground motion selection and modification (GMSM) method is presented, suitable for the probabilistic seismic assessment of the damage state and collapse potential of building structures. Its advantage over other GMSM methods is that it implicitly matches the multivariate distribution of the response spectrum in the region of the structure elongated period, and it adopts an unbiased estimator of the EDP central tendency. Optimized suites of ground motions are obtained from a large ground motion dataset, through stratified sampling on SdN T1, T1′. The optimized suites are used in the dynamic analysis of the structure, resulting in a response prediction that is optimized, compared to using a less efficient IM, or to random sampling. The proposed GMSM method is applied to the dynamic analysis of a multi-degreeof-freedom (MDOF) structure with high participation of the fundamental mode, which is assumed to represent a real ten-storey building structure designed to Eurocode 2 (2004a) and Eurocode 8 (2004b) for ductility class ‘High’
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have