Uncertain material properties on wave dispersion behaviors of smart magneto-electro-elastic nanobeams

2018 ◽  
Vol 202 ◽  
pp. 615-624 ◽  
Author(s):  
Hu Liu ◽  
Zheng Lv
Keyword(s):  
Material Properties ◽  
Wave Dispersion ◽  
Uncertain Material Properties

scholarly journals Reliability analysis of girth welds by using finite element simulations with uncertain material properties

2021 ◽  
Vol 1043 (3) ◽  
pp. 032071
Author(s):  
Cheng Qian ◽  
Jin Xiao Meng ◽  
Yi Ren ◽  
Bo Sun ◽  
Qiang Feng ◽  
...  
Keyword(s):  
Finite Element ◽  
Reliability Analysis ◽  
Material Properties ◽  
Finite Element Simulations ◽  
Girth Welds ◽  
Uncertain Material Properties

Dynamic behaviour of a timber footbridge with uncertain material properties under a single deterministic walking load

2019 ◽  
Vol 77 ◽  
pp. 10-17
Author(s):  
Diego A. García ◽  
Marta B. Rosales ◽  
Rubens Sampaio
Keyword(s):  
Material Properties ◽  
Dynamic Behaviour ◽  
Uncertain Material Properties

Investigation of Biotransport in a Tumor With Uncertain Material Properties Using a Nonintrusive Spectral Uncertainty Quantification Method

2017 ◽  
Vol 139 (9) ◽  
Author(s):  
Alen Alexanderian ◽  
Liang Zhu ◽  
Maher Salloum ◽  
Ronghui Ma ◽  
Meilin Yu
Keyword(s):  
Uncertainty Quantification ◽  
Material Properties ◽  
Statistical Models ◽  
Gaussian Random Field ◽  
Concentration Field ◽  
Random Variable ◽  
Spectral Projection ◽  
Velocity Fields ◽  
Efficient Computation ◽  
Uncertain Material Properties

In this study, statistical models are developed for modeling uncertain heterogeneous permeability and porosity in tumors, and the resulting uncertainties in pressure and velocity fields during an intratumoral injection are quantified using a nonintrusive spectral uncertainty quantification (UQ) method. Specifically, the uncertain permeability is modeled as a log-Gaussian random field, represented using a truncated Karhunen–Lòeve (KL) expansion, and the uncertain porosity is modeled as a log-normal random variable. The efficacy of the developed statistical models is validated by simulating the concentration fields with permeability and porosity of different uncertainty levels. The irregularity in the concentration field bears reasonable visual agreement with that in MicroCT images from experiments. The pressure and velocity fields are represented using polynomial chaos (PC) expansions to enable efficient computation of their statistical properties. The coefficients in the PC expansion are computed using a nonintrusive spectral projection method with the Smolyak sparse quadrature. The developed UQ approach is then used to quantify the uncertainties in the random pressure and velocity fields. A global sensitivity analysis is also performed to assess the contribution of individual KL modes of the log-permeability field to the total variance of the pressure field. It is demonstrated that the developed UQ approach can effectively quantify the flow uncertainties induced by uncertain material properties of the tumor.

Application of a Stochastic Elasto-Plastic Model with First-Order Spectral Expansion to Soil

2018 ◽  
Vol 12 (04) ◽  
pp. 1841006
Author(s):  
Kazumoto Haba ◽  
Wataru Hotta ◽  
Akihito Hata ◽  
Muneo Hori
Keyword(s):  
Risk Assessment ◽  
Monte Carlo Simulation ◽  
Material Properties ◽  
Spectral Expansion ◽  
Efficient Treatment ◽  
Plastic Model ◽  
First Order ◽  
Stress Strain Relation ◽  
New Treatment ◽  
Uncertain Material Properties

The efficient treatment of uncertainties in soil properties is essential for seismic probabilistic risk assessment. Recently, we developed a stochastic elasto-plastic model based on the first-order spectral expansion of the stochastic behavior. This new treatment is applied to elasto-plastic soil with uncertain material properties. A numerical experiment is performed to evaluate the probabilistic constitutive relation. The probabilistic stress–strain relation of soil is simulated successfully in agreement with the standard Monte-Carlo simulation. In addition, some characteristics of the probabilistic elasto-plastic soil are studied.

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