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Assessment of Mass Concrete Thermal Prediction and Failure Criteria: Novel Models, Evaluation Methods, and Case Studies
Assessment of Mass Concrete Thermal Prediction and Failure Criteria: Novel Models, Evaluation Methods, and Case Studies
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105543
- ISBN
- 9798263394301
- DDC
- 519.5
- 서명/저자
- Assessment of Mass Concrete Thermal Prediction and Failure Criteria: Novel Models, Evaluation Methods, and Case Studies
- 발행사항
- [Sl] : Georgia Institute of Technology, 2022
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- 형태사항
- 200 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-05, Section: B.
- 주기사항
- Advisor: Kurtis, Kimberly E.;Gentry, T. Russell.
- 학위논문주기
- Thesis (Ph.D.)--Georgia Institute of Technology, 2022.
- 초록/해제
- 요약The durability of massive concrete structures may be compromised by delayed ettringite formation (DFE) and thermal cracking. These issues are the result of the high internal temperatures and temperature differences that develop within the concrete elements during curing as a result of the heat of hydration. Designers have sought to develop mixture designs and construction technologies to control DEF and thermal cracking by specifying maximum allowable thresholds for both. The overarching aim of this dissertation is to provide recommendations for best-practices for the design and construction of mass concrete to ensure the durability of the structural elements, without resorting to stringent and costly thermal control measures during construction. This can be accomplished by adopting a robust approach for mass concrete thermal modeling, and transitioning to performance-based temperature difference thresholds by addressing the function and performance of concrete structural elements. In this work, two methodologies were presented and validated for heat of hydration modeling and subsequent simulations of mass concrete internal temperatures and temperature differences: an experimental approach using isothermal calorimetry, and a probabilistic machine learning approach, both of which gave accurate results when validated through the thermal modeling of several case studies. Moreover, a framework has been proposed for finding performance-based temperature difference limits by considering the time and temperature-dependent development of mechanical properties, and case-specific creep and internal restraint factors. The results have confirmed that the current prescribed temperature difference threshold for mass concrete is restrictive. Findings have demonstrated the need for a more robust, detailed, and performance-based framework for the analysis, design, and construction of mass concrete structures, to advance structural durability while promoting conservation of resources.
- 일반주제명
- Mean square errors
- 일반주제명
- Mechanical properties
- 일반주제명
- Concrete mixing
- 일반주제명
- Cooling
- 일반주제명
- Permeability
- 일반주제명
- Design
- 일반주제명
- Heat
- 일반주제명
- Insulation
- 일반주제명
- Concrete construction
- 일반주제명
- Cement
- 일반주제명
- Curing
- 일반주제명
- Boundary conditions
- 일반주제명
- Hydration
- 일반주제명
- Mathematics
- 일반주제명
- Mechanics
- 기본자료저록
- Dissertations Abstracts International. 87-05B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798263394301
■035 ▼a(MiAaPQ)AAI32315296
■035 ▼a(MiAaPQ)GeorgiaTech72454
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a519.5
■1001 ▼aAl-Hasani, Luna E.
■24510▼aAssessment of Mass Concrete Thermal Prediction and Failure Criteria: Novel Models, Evaluation Methods, and Case Studies
■260 ▼a[Sl]▼bGeorgia Institute of Technology▼c2022
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2022
■300 ▼a200 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-05, Section: B.
■500 ▼aAdvisor: Kurtis, Kimberly E.;Gentry, T. Russell.
■5021 ▼aThesis (Ph.D.)--Georgia Institute of Technology, 2022.
■520 ▼aThe durability of massive concrete structures may be compromised by delayed ettringite formation (DFE) and thermal cracking. These issues are the result of the high internal temperatures and temperature differences that develop within the concrete elements during curing as a result of the heat of hydration. Designers have sought to develop mixture designs and construction technologies to control DEF and thermal cracking by specifying maximum allowable thresholds for both. The overarching aim of this dissertation is to provide recommendations for best-practices for the design and construction of mass concrete to ensure the durability of the structural elements, without resorting to stringent and costly thermal control measures during construction. This can be accomplished by adopting a robust approach for mass concrete thermal modeling, and transitioning to performance-based temperature difference thresholds by addressing the function and performance of concrete structural elements. In this work, two methodologies were presented and validated for heat of hydration modeling and subsequent simulations of mass concrete internal temperatures and temperature differences: an experimental approach using isothermal calorimetry, and a probabilistic machine learning approach, both of which gave accurate results when validated through the thermal modeling of several case studies. Moreover, a framework has been proposed for finding performance-based temperature difference limits by considering the time and temperature-dependent development of mechanical properties, and case-specific creep and internal restraint factors. The results have confirmed that the current prescribed temperature difference threshold for mass concrete is restrictive. Findings have demonstrated the need for a more robust, detailed, and performance-based framework for the analysis, design, and construction of mass concrete structures, to advance structural durability while promoting conservation of resources.
■590 ▼aSchool code: 0078.
■650 4▼aMean square errors
■650 4▼aMechanical properties
■650 4▼aConcrete mixing
■650 4▼aCooling
■650 4▼aPermeability
■650 4▼aDesign
■650 4▼aHeat
■650 4▼aInsulation
■650 4▼aConcrete construction
■650 4▼aCement
■650 4▼aCuring
■650 4▼aBoundary conditions
■650 4▼aHydration
■650 4▼aMathematics
■650 4▼aMechanics
■690 ▼a0389
■690 ▼a0800
■690 ▼a0543
■690 ▼a0405
■690 ▼a0346
■71020▼aGeorgia Institute of Technology.
■7730 ▼tDissertations Abstracts International▼g87-05B.
■790 ▼a0078
■791 ▼aPh.D.
■792 ▼a2022
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360533▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
