자료유형  

 학위논문

Control Number  

0017164562

International Standard Book Number  

9798384045915

Dewey Decimal Classification Number  

629.1

Main Entry-Personal Name  

Rojas Sanchez, Jose Fernando.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Michigan., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

280 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: B.

General Note  

Advisor: Waas, Anthony.

Dissertation Note  

Thesis (Ph.D.)--University of Michigan, 2024.

Summary, Etc.  

요약Fatigue in laminated composite structures can be caused by cyclic loading below the pristine static limit. It is detrimental to the structural performance and can lead to early catastrophic failure. Fatigue damage primarily manifests as intraply micro and macrocracks as well as interface delaminations, but can also manifest as fiber failure. These damage modes develop over multiple spatial and temporal scales, which make it challenging to model accurately and efficiently. State of the art models either fail at capturing important physics of the problem and therefore lack accuracy, or fail at being computationally efficient and therefore are impractical for use in engineering applications. In this research, a model that offers the ability to capture the important damage modes that develop during fatigue loading at different scales in a computationally efficient way is proposed, based on experimental observations at multiple length scales. Diffused microscale cracking is captured using a multiscale analytical method, while macroscale matrix cracking, delamination, and fiber failure are captured using a combination of a fiber-aligned meshing approach and cohesive zone models. Temporal multiscale aspects of the problem are captured using a cycle jumping approach. Computational performance of the model was boosted through the use of data science and machine learning. To develop the model, the problem of a single-edge notched cross-ply [90/0/90] specimen subjected to tensile quasi-static loading and fatigue loading was analyzed based on experimental results. The model was based on a series of high resolution experimental data. This data included synchrotron computed tomography in-situ scans that were used in a digital volume correlation analysis at the microscale, as well as digital image correlation and thermography images collected during fatigue tests at the macroscale. Model predictions demonstrated good agreement with experimental data regarding damage initiation mechanisms, damage progression under quasi-static loading, and damage initiation and progression under fatigue loading. It was concluded that the proposed modeling approach is capable of efficiently capturing fatigue damage growth in laminated composites with sufficient accuracy and therefore it is suitable for engineering applications. Future suggested work includes the validation of the model for additional laminate stacking sequences and loading scenarios.

Subject Added Entry-Topical Term  

Aerospace engineering.

Subject Added Entry-Topical Term  

Computer engineering.

Subject Added Entry-Topical Term  

Materials science.

Subject Added Entry-Topical Term  

Mechanical engineering.

Index Term-Uncontrolled  

Composite structures

Index Term-Uncontrolled  

Fatigue

Index Term-Uncontrolled  

Progressive failure modeling

Index Term-Uncontrolled  

Computed tomography

Index Term-Uncontrolled  

Thermography

Index Term-Uncontrolled  

Machine learning

Added Entry-Corporate Name  

University of Michigan Aerospace Engineering

Host Item Entry  

Dissertations Abstracts International. 86-03B.

Electronic Location and Access  

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Control Number  

joongbu:656803