Interval Back Analysis on Mechanical Parameter of Geotechnical Engineering

2012 ◽  
Vol 170-173 ◽  
pp. 399-402
Author(s):  
Shi Jun Liu ◽  
Hong Chun Wang

The measured data and mechanical parameters were considered unknown but bounded property and interval numbers were used to denote the measured data and mechanical parameters. The interval parameter perturbation method was presented to solve interval FEM and the interval inverse analysis model was established. Based on the interval parameter perturbation method, the mean and deviation of the mechanical parameters were obtained by the back analysis. For the example of the mechanical parameter back analysis of rock mass cave in the large hydro-electric power station, the effect on the measured data precision was studied. From the results it can be found that the method is reasonable and feasible.

2007 ◽  
Vol 347 ◽  
pp. 569-574
Author(s):  
Wen Ying Chen ◽  
Fu Lei Chu ◽  
Shao Ze Yan ◽  
Ke Yun Wang

The upper and lower bound estimation of natural frequencies for intelligent truss structure with uncertain-but-bounded parameters is studied in this paper. Firstly, following the finite element method, the expressions of the interval stiffness and interval mass matrix of piezoelectric intelligent truss structures are derived directly from the interval parameters. Then, based on the matrix perturbation and interval extension theory, an interval parameter perturbation method is proposed for solving the upper and lower bound of natural frequencies. Finally, a 16-bar planar intelligent truss structure is used as an example to illustrate the applicability and validity of the presented method, and some useful conclusions are obtained.


Water ◽  
2017 ◽  
Vol 9 (12) ◽  
pp. 978 ◽  
Author(s):  
Guiming Dong ◽  
Juan Tian ◽  
Hongbin Zhan ◽  
Rengyang Liu

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 342 ◽  
Author(s):  
Xiao-Ting He ◽  
Zhi-Xin Yang ◽  
Yang-Hui Li ◽  
Xue Li ◽  
Jun-Yi Sun

In this study, a multi-parameter perturbation method is used for the solution of a functionally-graded, thin, circular piezoelectric plate. First, by assuming that elastic, piezoelectric, and dielectric coefficients of the functionally-graded materials vary in the form of the same exponential function, the basic equation expressed in terms of two stress functions and one electrical potential function are established in cylindrical coordinate system. Three piezoelectric coefficients are selected as perturbation parameters, and the established equations are solved by the multi-parameter perturbation method, thus obtaining up to first-order perturbation solutions. The validity of the perturbation solution obtained is verified by numerical simulations, based on layer-wise theory. The perturbation process indicates that adopting three piezoelectric coefficients as perturbation parameters follows the basic idea of perturbation theory—i.e., if the piezoelectricity may be regarded as a kind of introduced disturbance, the zero-order solution of the disturbance system corresponds exactly to the solution of functionally-graded plates without piezoelectricity. The result also indicates that the deformation magnitude of piezoelectric plates is smaller than that of plates without piezoelectricity, due to the well-known piezoelectric stiffening effect.


2013 ◽  
Vol 706-708 ◽  
pp. 556-559 ◽  
Author(s):  
Jing Bo Su ◽  
Hong Bing Liu ◽  
Hui De Zhao ◽  
Dong Zhang

In this paper, the interval analysis method is introduced and an uncertainty inverse analysis method is presented. The intervals of unknown parameters can be obtained by the input of measured data. Even for few measured data, the analysis results can be also obtained by the inverse analysis method. And the analysis results can be applied to appraise the uncertainty in interval. Based on parameter perturbation, the reversible inverse analysis model is proposed for linear-elastic problems. A numerical example is given to illustrate the validity of the present method. The influence is illustrated about different measured precisions and different numbers of analyzing parameters on the inverse analysis results. And the conditions of existence or convergence of the solution are given.


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