A weighted Bayesian inversion method is proposed for estimation of unimodal particle size distribution in multi-angle dynamic light scattering measurements. Particle size informiation distribution in autocorrelation function is used as base and adjustment parameters as exponent in the weight coefficient. Traditional Bayesian inversion method is recovered. Simulation and experimental data at different noise levels show that weighted Bayesian inversion method obtains inversion results with smaller distribution error. It weakens effectively influence of data noise and improves accuracy of particle size distribution.

First-principles calculations on mechanical behavior of V-Ta( Ta=0 to~20 wt. %) alloys are performed. Calculated Young's modulus,shear modulus,Cauchy pressure and bulk modulus/shear modulus indicate that as content of Ta is around 10 wt. %,V-Ta alloy shows good mechanical properties with large strength and good ductility. To examine calculation predictions,binary V-Ta alloys including V-10 wt. % Ta,V-15 wt. % Ta,V-20 wt. % Ta were processed and tested at room temperature. Computational results agree with experiment well. It indicates that the approach is a promising way for alloy design.

The relationship between the permittivity distribution and the measured capacitance in electrical capacitance tomography (ECT) is described by the sensitivity distribution which directly affects the image reconstruction. The sensitivity distribution is mainly computed according to its definition which is complicated and time-consuming. We analyze relationship between the sensitivity distribution and the electric potential distribution in ECT. The calculation formulae are pressented. The method is simple and fast. Simulation results show that the sensitivity distribution obtained by this method is consistent with that of the traditional method.

It presents an effective fill-in technology for the preconditioners of large sparse linear algebraic equations arising from the difference discretizations of high dimensional physical problems, and discusses the relations between fill-in and numerical costs. By using this technology into the practical problems for verification, numerical results obtained are well coincided with the theoretical analyses.

Parallel processing in the famous method of increment for nonlinear finite element structural analysis is given.Some numerical examples are tested on multiprocessor Challenge-L.