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Influence of Material Properties and Fracture Properties on the Crack Nucleation and Growth.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Influence of Material Properties and Fracture Properties on the Crack Nucleation and Growth./
作者:	Zeng, Bo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	54 p.
附註:	Source: Masters Abstracts International, Volume: 82-12.
Contained By:	Masters Abstracts International82-12.
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28320071
ISBN:	9798738653278

Influence of Material Properties and Fracture Properties on the Crack Nucleation and Growth.
Zeng, Bo.

Influence of Material Properties and Fracture Properties on the Crack Nucleation and Growth. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 54 p.

Source: Masters Abstracts International, Volume: 82-12.

Thesis (M.S.)--Duke University, 2021.

This item must not be sold to any third party vendors.

In this thesis, we studied the influence of spatial variations in the fracture property and the elastic property on the resulting crack patterns during soil desiccation. Young's modulus is selected as the representative elastic property and the fracture toughness is selected as that for the fracture property. Their well-defined spatially fluctuated random fields are the input of the phase-field fracture simulation, and the resulting damage field is the output. Various postprocessing of the damage field were carried out to analyze the resulting fields. After comparing the morphology of the cracks and fragment size distributions, a preliminary guess was that the two inputs have very close influence on the output. Then the Pearson correlation coefficient, as a first try of sensitivity analysis, also gave an indistinguishable correlation number between the two. A more rigorous approach with highly isolated sensitivity quantity was needed, which brought us to the Sobol' indice based on polynomial chaos expansion, a global sensitivity analysis measure which accounts for the variation of output into the variation of each input and any combination of input.

ISBN: 9798738653278Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Finite element method

Influence of Material Properties and Fracture Properties on the Crack Nucleation and Growth.
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245 1 0 $a Influence of Material Properties and Fracture Properties on the Crack Nucleation and Growth.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 54 p.
500 $a Source: Masters Abstracts International, Volume: 82-12.
500 $a Advisor: Dolbow, John.
502 $a Thesis (M.S.)--Duke University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a In this thesis, we studied the influence of spatial variations in the fracture property and the elastic property on the resulting crack patterns during soil desiccation. Young's modulus is selected as the representative elastic property and the fracture toughness is selected as that for the fracture property. Their well-defined spatially fluctuated random fields are the input of the phase-field fracture simulation, and the resulting damage field is the output. Various postprocessing of the damage field were carried out to analyze the resulting fields. After comparing the morphology of the cracks and fragment size distributions, a preliminary guess was that the two inputs have very close influence on the output. Then the Pearson correlation coefficient, as a first try of sensitivity analysis, also gave an indistinguishable correlation number between the two. A more rigorous approach with highly isolated sensitivity quantity was needed, which brought us to the Sobol' indice based on polynomial chaos expansion, a global sensitivity analysis measure which accounts for the variation of output into the variation of each input and any combination of input.
590 $a School code: 0066.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Materials science. $3 543314
650 4 $a Civil engineering. $3 860360
653 $a Finite element method
653 $a Phase-field fracture model
653 $a Random field
653 $a Soil desiccation
653 $a Uncertainty quantification
690 $a 0548
690 $a 0543
690 $a 0794
710 2 $a Duke University. $b Mechanical Engineering and Materials Science. $3 1030656
773 0 $t Masters Abstracts International $g 82-12.
790 $a 0066
791 $a M.S.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28320071