자료유형  

 학위논문

Control Number  

0016931997

International Standard Book Number  

9798379651534

Dewey Decimal Classification Number  

001

Main Entry-Personal Name  

Patel, Parth Ajaykumar.

Publication, Distribution, etc. (Imprint  

[S.l.] : North Carolina State University., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(155 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

General Note  

Advisor: Proestos, Giorgio;Patrick, Jason;Wu, Xu;Gupta, Abhinav.

Dissertation Note  

Thesis (Ph.D.)--North Carolina State University, 2023.

Restrictions on Access Note  

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

Summary, Etc.  

요약Integrity assessment under extreme loading conditions and maintenance of aging infrastructure requires appropriate characterization of concrete's nonlinear behavior, degradation, and damage. Characterizing concrete behavior is a challenging problem due to its quasi-brittle characteristic. For example, concrete exhibits brittle fracture under tension. In contrast, under compression, it exhibits strain hardening, softening, and ultimately crushing. Concrete behaves differently under different loading conditions and exhibits multiple damage states, including compressive crushing, tensile cracking, reduction of stiffness, and stiffness recovery due to the closing of cracks. This research attempts to understand and appropriately utilize the damage plasticity model to characterize complex concrete behavior for various damage and degradation scenarios. In recent years, the safety of nuclear power plants against external missile impacts (for example, due to tornadoes) has gained significant attention. Simulation of damage due to impact requires an appropriate calibration and quantification of concrete's damage plasticity model parameters. The dissertation proposes a novel framework for modeling the behavior of reinforced concrete slabs subjected to missile impact. Data from two independent laboratory-based experimental studies are used to develop and validate the proposed approach. In contrast to the high strain rate generated by the impact, concrete structures gradually degrade over time under low strain rate conditions due to chemical degradation agents such as chloride ions. It is necessary to detect concrete degradation at an early stage to maintain the safe functioning of critical structures throughout their projected lifespan. Therefore, this research also presents an integrated structural health monitoring framework by propagating various uncertainties through a multi-step chloride degradation simulation. The proposed framework detects non-uniform chloride degradation using a physics-trained deep learning algorithm.

Subject Added Entry-Topical Term  

Software.

Subject Added Entry-Topical Term  

Chloride.

Subject Added Entry-Topical Term  

Impact tests.

Subject Added Entry-Topical Term  

Physics.

Subject Added Entry-Topical Term  

Sensitivity analysis.

Subject Added Entry-Topical Term  

Concrete.

Subject Added Entry-Topical Term  

Concrete slabs.

Subject Added Entry-Topical Term  

Neural networks.

Subject Added Entry-Topical Term  

Strain hardening.

Subject Added Entry-Topical Term  

Tornadoes.

Subject Added Entry-Topical Term  

Stress-strain curves.

Subject Added Entry-Topical Term  

Algorithms.

Subject Added Entry-Topical Term  

Reinforced concrete.

Subject Added Entry-Topical Term  

Pattern recognition.

Subject Added Entry-Topical Term  

Corrosion.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Meteorology.

Added Entry-Corporate Name  

North Carolina State University.

Host Item Entry  

Dissertations Abstracts International. 84-12B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:640741