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pro vyhledávání: '"R. Sharbati"'
Akademický článek
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Optimized Cauchy-Gaussian Blend Model for Stochastic-Parametric Simulation of Seismic Ground Motions
Publikováno v:
Prevention and Treatment of Natural Disasters. 1
This article proposes a stochastic model for generation of synthetic seismic ground motions. In the first step, the wavelet coefficients of a record are extracted by the dual-tree complex discrete wavelet transform (DT-CDWT) and then they are simulat
Akademický článek
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Autor:
Faramarz Khoshnoudian, Danial Jahed Armaghani, R. Sharbati, Hamidreza Ramazi, Toktam Valizadeh, Mohammadreza Koopialipoor
Publikováno v:
Engineering with Computers. 38:1529-1541
The aim of this paper is to extend a stochastic model for simulation of highly nonstationary ground motions (GMs). In this model, the dual-tree complex discrete wavelet transform (DT-CDWT) is applied to a recorded ground motion to extract its wavelet
Publikováno v:
Engineering with Computers. 37:1519-1535
The aim of this paper is to develop a stochastic-parametric model for the generation of synthetic ground motions (GMs) which are in accordance with a real GM. In the proposed model, the dual-tree complex discrete wavelet transform (DT-CDWT) is applie
Publikováno v:
International Journal of Steel Structures. 19:1840-1853
Post-tensioned (PT) steel frames have recently been introduced to resist lateral load and to provide self-centering capability. In these frames, high strength steel strands that run parallel to the beam web, have been used to provide moment resisting
Publikováno v:
Journal of Earthquake Engineering. 25:2147-2177
In this paper, a stochastic-parametric model is developed for simulating the temporal and spectral nonstationary characteristics of ground motion sequences. In the proposed model, after extracting ...
Publikováno v:
Expert Systems with Applications. 191:116153
Real-world data are often corrupted by noise and outliers, which are originated from different procedures such as data collection, storage, and processing. Noise and outliers decrease the quality of clustering and lead to the inaccurate and misplaced
Publikováno v:
Soil Dynamics and Earthquake Engineering. 114:267-280
The aim of this research is to develop a stochastic model for generating synthetic ground motions in accordance with a recorded ground motion. In this model, Complex discrete wavelet transform is used to extract wavelet coefficients of a ground motio
Publikováno v:
Journal of Engineering Mechanics. 146
In this paper, it is aimed to perform clustering analysis on a large set of near-fault ground motions based on the intensity of velocity pulses. For this purpose, the velocity pulses of the...