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| Articles
by
R. Abbasnia |
Total Records (
2 ) for
R. Abbasnia |
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A. Nicknam
,
R. Abbasnia
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M. Bozorgnasab
and
Y. Eslamian
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The main objective of this study is to simulate the acceleration time histories of May 28, 2004 Kojour earthquake (Mw 6.2) happened at Northern part of Iran. The uncertainties inherently exist in the seismological parameters are reduced to find the suitable parameters for synthesizing process. The hypocenter location, focal mechanism and the causative fault dimensions are some of the parameters, studied in this article. The Empirical Green’s Function method approach along with a genetic algorithm technique is used to optimize the differences between synthesized ground motions and observed data and consequently to extract the aforementioned seismological source parameters. The proposed technique is utilized by comparing the elastic response spectra corresponding to the synthesized three components of the main event at Poul station and those of the recorded data. Thereafter, to find out the accuracy of the method, using the estimated source parameters from the approach, the Empirical Green’s Function method is utilized to generate the three components of strong motion recorded at another station, Noshahr. Proper match of the synthesized and observed data confirms the suitability of selected model parameters and the efficiency of the method for synthesizing ground motions. Also, the three components of acceleration time histories of the mainshock were predicted at another station, Baladeh, at which the main event was not recorded during the earthquake. The proposed approach can be used to find the acceleration response spectra and also time histories that are compatible with those response spectra for studying structural behavior during happened earthquakes in the regions with lack of recorded time histories. |
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R. Abbasnia
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A. Afshar
and
E. Eshtehardian
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In this study, a new approach has been investigated
in solving time-cost trade off problem, because of uncertainties which
affect on activity cost. Fuzzy logic theory is employed to consider affecting
uncertainties in total direct and indirect cost of a construction project.
Non-dominated Sorting Genetic Algorithm (NSGA), a multi objective optimization
algorithm, is applied to provide a trade-off between time and total cost.
Project manager can also have different non-dominated solutions or pareto
solutions which are dependent on his measure of accepted risk through
applying α cuts methods in fuzzy logic theory. The proposed model
leads the decision maker to select the desirable pareto front solution
through acceptable value of α cut. |
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