In order to investigate the ratcheting behavior of T225NG alloy, a series of ratcheting tests under uniaxial long-cyclic stressing were performed. The results show that the ratcheting strain of this alloy can get into...
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In order to investigate the ratcheting behavior of T225NG alloy, a series of ratcheting tests under uniaxial long-cyclic stressing were performed. The results show that the ratcheting strain of this alloy can get into shakedown after tens (or hundreds) of thousand cycles. After the ratcheting strain is saturated under the condition that stress amplitude is half of peak stress, it will bring about subsequent fatigue failure, and relationship between fatigue life and one of peak stress and saturated ratcheting (SR) strain meets power law. As the alloy is under stress jiggling with stress amplitude that is 1%-2.5% of peak stress, the ratcheting strain still become remarkable and goes into shakedown after several hundreds of thousand cycles but there exists little accessional strain caused by creep effect. It is notable that, when the peak stress is 85%-100% of yield stress, the long-cyclic stressing will lead SR strain to be from 1.4% to 2.5% even if the initial ratio of ratcheting strain is zero. Based on ratcheting threshold property of peak stress and monotonicity of relationship between the peak stress and SR strain, a saturated ratcheting model (SRM) is developed to predict SR strain and to estimate saturated creep strain also. In addition, the classes of ratcheting evolutions of metals are discussed.
Rough groups and rough rings have been investigated by Biswas & Nanda [Bull. Polish Acad. Sci. Math. 42 (1994) 251-254], Kuroki and Wang [Inform. Sci. 90 (1996) 203-220] and Dawaz [Inform. Sci. 164 (2004) 147-163]...
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The measurement uncertainty is often evaluated by a probabilistic approach, but such evaluation is not always adapted to imprecise measurement data. This paper focuses on the use of the evidence theory to evaluate the...
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The measurement uncertainty is often evaluated by a probabilistic approach, but such evaluation is not always adapted to imprecise measurement data. This paper focuses on the use of the evidence theory to evaluate the measurement uncertainty of imprecise neutrons data. A formula is presented to measure and calculate the measurement uncertainty of imprecise neutrons data coming from imprecise physical sensors and approximate estimations provided by experts, the validity of the formula is demonstrated by two examples. The formula can be applied to precise neutrons data too.
Rough groups and rough rings have been investigated by Biswas & Nanda [Bull. Polish Acad. Sci. Math. 42 (1994) 251-254], Kuroki and Wang [Inform. Sci. 90 (1996) 203-220] and Davvaz [Inform. Sci. 164 (2004) 147-163...
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Rough groups and rough rings have been investigated by Biswas & Nanda [Bull. Polish Acad. Sci. Math. 42 (1994) 251-254], Kuroki and Wang [Inform. Sci. 90 (1996) 203-220] and Davvaz [Inform. Sci. 164 (2004) 147-163], but in which some conclusions do not always hold in general. In this paper, we have revisited rough rings in a uniform and complete form, some new properties of rough rings are obtained, and the modified versions of those conclusions that are improper in Davvaz [Inform. Sci. 164 (2004) 147-163] are modified.
A method for learning the dynamic responses of a nonlinear power-amplifier with a radial basis function (RBF) neural network is presented. The training data of the RBF neural networks are samples of the input and outp...
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ISBN:
(纸本)0780386477
A method for learning the dynamic responses of a nonlinear power-amplifier with a radial basis function (RBF) neural network is presented. The training data of the RBF neural networks are samples of the input and output waveforms of the power-amplifier. A new training scheme employing efficient gradient-based optimization methods is developed to train the RBF neural networks model. Simulation results are presented to demonstrate the superiority of the RBF neural networks compared with recurrent neural networks and other networks.
A power system harmonic detection technique based on a frequency domain interpolation wavelet transform is proposed. Aiming at harmonic detection, a fast Fourier transform (FFT) can only detect integer harmonics; a sh...
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ISBN:
(纸本)0780386477
A power system harmonic detection technique based on a frequency domain interpolation wavelet transform is proposed. Aiming at harmonic detection, a fast Fourier transform (FFT) can only detect integer harmonics; a short time Fourier transform (STFT) can detect non-integer harmonics with low resolution; a wavelet transform can detect non-integer harmonics, but it has spectral aliasing and spectral leakage phenomena, which result in low resolution. This paper uses a frequency domain interpolation algorithm to detect a harmonic signal by choosing a Shannon wavelet. Simulation and comparative results obtained by three algorithms reveal that: the proposed method can effectively eliminate spectral aliasing, spectral leakage and the Gibbs phenomenon; it can precisely detect a harmonic signal, so it provides an effective means for power system harmonic analysis and detection.
This paper considers the problem of scheduling a fleet of identical vehicles to execute a set of freight orders in truckload quantities. Each freight order is given in terms of an origin and a destination and the numb...
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ISBN:
(纸本)0784406308
This paper considers the problem of scheduling a fleet of identical vehicles to execute a set of freight orders in truckload quantities. Each freight order is given in terms of an origin and a destination and the number of truckloads to be transported between them. The goal is to minimize the total cost of travel while completing all freight orders. Our work is the first to allow vehicles to be dispatched from a depot and discharged into another after service. We propose an algorithm that starts from an optimal solution to a network flow model which considers all data in the problem in parallel including unloaded travel costs, freight orders, depots, availability of vehicles and the vehicle receiving capacity at each depot. The network solution is then iteratively modified through heuristic operations and the routing of vehicles is determined, one at a time, based on the modified solution. A novel feature of the algorithm is the option of resolving the network model for scheduling the remaining vehicles.
Spectral drift of any origin consisting of detectors and nuclear electronics affects the long-term stability in a gamma-ray spectrometer, which is essential to maintaining the high quality of gamma energy spectraThe f...
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Spectral drift of any origin consisting of detectors and nuclear electronics affects the long-term stability in a gamma-ray spectrometer, which is essential to maintaining the high quality of gamma energy spectraThe feedback regulation according to the quantity of spectral drift can restore the system's stabilityA new algorithm for spectral drift calculation is given in this paperA digital logic unit is developed in a FPGA chip based on the algorithm, and a MCU coordinating with it can fast calculate the spectral drift within only less than 110 instruction periods.
Ion-beam-sputtering/mixing deposition was used to produce thin calcium phosphate coatings on titanium substrate from the hydroxyapatite target. The mixing beam could be either Ar + or N + ions. It was found that as-de...
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It is much more difficult to obtain failure probability of bottom-events of fault tree by means of traditional method if there has no enough or lack failure information of parts(or modules). In this a
It is much more difficult to obtain failure probability of bottom-events of fault tree by means of traditional method if there has no enough or lack failure information of parts(or modules). In this a
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