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EN
Producing accurate seismic hazard map and predicting hazardous areas is necessary for risk mitigation strategies. In this paper, a fuzzy logic inference system is utilized to estimate the earthquake potential and seismic zoning of Zagros Orogenic Belt. In addition to the interpretability, fuzzy predictors can capture both nonlinearity and chaotic behavior of data, where the number of data is limited. In this paper, earthquake pattern in the Zagros has been assessed for the intervals of 10 and 50 years using fuzzy rule-based model. The Molchan statistical procedure has been used to show that our forecasting model is reliable. The earthquake hazard maps for this area reveal some remarkable features that cannot be observed on the conventional maps. Regarding our achievements, some areas in the southern (Bandar Abbas), southwestern (Bandar Kangan) and western (Kermanshah) parts of Iran display high earthquake severity even though they are geographically far apart.
EN
An improved simple method is presented for calculation of the detonation velocity of CHNO and CHNOFCl explosives, as well as non-ideal explosives containing aluminum (Al) and ammonium nitrate (AN) additives. In contrast to the available complex computer codes, where the estimated detonation velocities of non-ideal explosives for equilibrium and steady state calculations show significant differences from the measured data, this simple method gives more reliable results. Suitable decomposition paths are suggested in which the partial interaction of Al with the gaseous products and the decomposition of AN are assumed for composite explosives containing Al/AN additives. The predicted detonation velocities using the new method are good compared to those from one of the well-known empirical methods and from computer codes using full and partial equilibrium of Al/AN.
EN
A reliable method is introduced for predicting the detonation velocity of CHNOFClAl explosives through suitable decomposition paths. The predicted decomposition products are used to estimate the heat of detonation (decomposition) and the detonation velocity. For non-ideal aluminized explosives, the Chapman-Jouguet detonation velocities are significantly different from those expected from existing thermodynamic computer codes for equilibrium and steady state calculations. The predicted detonation velocities give more reliable results for CHNO explosives than one of the best available empirical methods over a wide range of loading densities. The new model provides better agreement with respect to experimental values for aluminized explosives than the computed results from the BKWS equation of state using full and partial equilibrium of aluminium.
4
Content available remote Approximately bisectrix-orthogonality preserving mappings
EN
Regarding the geometry of a real normed space X, we mainly introduce a notion of approximate bisectrix-orthogonality on vectors x,y∈X as follows:... [formula] We study the class of linear mappings preserving the approximately bisectrix-orthogonality ε⊥W. In particular, we show that if T:X→Y is an approximate linear similarity, then xδ⊥Wy →Txθ⊥WTy(x,y∈X) for any δ∈[0,1) and certain θ≥0.
EN
This paper presents a wavelet-based multifractal approach to characterize the statistical properties of temporal distribution of the 19822012 seismic activity in Mammoth Mountain volcano. The fractal analysis of time-occurrence series of seismicity has been carried out in relation to seismic swarm in association with magmatic intrusion happening beneath the volcano on 4 May 1989. We used the wavelet transform modulus maxima based multifractal formalism to get the multifractal characteristics of seismicity before, during, and after the unrest. The results revealed that the earthquake sequences across the study area show time-scaling features. It is clearly perceived that the multifractal characteristics are not constant in different periods and there are differences among the seismicity sequences. The attributes of singularity spectrum have been utilized to determine the complexity of seismicity for each period. Findings show that the temporal distribution of earthquakes for swarm period was simpler with respect to pre- and post-swarm periods.
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