Inverse Estimation Method of Material Randomness Using Observation
| Autor: | Pawel Sikora, Sang-Yeop Chung, Dae-Young Kim, Krystyna Araszkiewicz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
General Chemical Engineering
Structural system 0211 other engineering and technologies Bayesian updating Probability density function 02 engineering and technology Bayesian inference 01 natural sciences Standard deviation Inorganic Chemistry 010104 statistics & probability 021105 building & construction medicine lcsh:QD901-999 General Materials Science Statistical physics 0101 mathematics correlation distance uncertainty Elastic modulus Randomness Mathematics spatial randomness Stiffness Condensed Matter Physics stochastic field ddc:540 Probability distribution lcsh:Crystallography medicine.symptom |
| Zdroj: | Crystals, Vol 10, Iss 512, p 512 (2020) Crystals Volume 10 Issue 6 |
| ISSN: | 2073-4352 |
| Popis: | This study proposes a method for inversely estimating the spatial distribution characteristic of a material&rsquo s elastic modulus using the measured value of the observation data and the distance between the measurement points. The structural factors in the structural system possess temporal and spatial randomness. One of the representative structural factors, the material&rsquo s elastic modulus, possesses temporal and spatial randomness in the stiffness of the plate structure. The structural factors with randomness are typically modeled as having a certain probability distribution (probability density function) and a probability characteristic (mean and standard deviation). However, this method does not consider spatial randomness. Even if considered, the existing method presents limitations because it does not know the randomness of the actual material. To overcome the limitations, we propose a method to numerically define the spatial randomness of the material&rsquo s elastic modulus and confirm factors such as response variability and response variance. |
| Databáze: | OpenAIRE |
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