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Factors Affecting the Uniaxial Compr...
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Minaeijavid, Mohsen,
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Factors Affecting the Uniaxial Compression Fatigue Performance of Structural Concrete /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Factors Affecting the Uniaxial Compression Fatigue Performance of Structural Concrete // Mohsen Minaeijavid.
Author:
Minaeijavid, Mohsen,
Description:
1 electronic resource (343 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
Contained By:
Dissertations Abstracts International86-08B.
Subject:
Materials science. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31769814
ISBN:
9798304916479
Factors Affecting the Uniaxial Compression Fatigue Performance of Structural Concrete /
Minaeijavid, Mohsen,
Factors Affecting the Uniaxial Compression Fatigue Performance of Structural Concrete /
Mohsen Minaeijavid. - 1 electronic resource (343 pages)
Source: Dissertations Abstracts International, Volume: 86-08, Section: B.
The design and assessment of reinforced concrete (RC) structures subjected to cyclic loading must consider concrete compression fatigue capacity which can control the design for some segments of towers and foundations that support wind turbines. Such structures endure high cyclic stresses due to wind, waves, and operational forces, which progressively degrade concrete's compressive capacity over time. This study involved an experimental investigation of factors affecting the compressive fatigue behavior of various types of concrete including traditional plain and reinforced concrete and 3D-printed concrete. The work also involved collecting and analyzing all publicly available fatigue data, comparing, and assessing existing fatigue models, and developing solutions for advancing fatigue research and the design of more cost-effective and durable towers and foundations that support wind turbines. The experimental testing consisted of a series of force-controlled fatigue tests that examined the influence of critical factors such as aggregate size and shape, longitudinal reinforcement, load eccentricity, and saturation on the compressive fatigue behavior. Data collected from these experiments provided insights into strain evolution, stiffness degradation, and the appearance of cracks under cyclic loading. Amongst the findings, the tests revealed that the use of larger angular aggregates and saturation significantly reduce fatigue life, that longitudinal reinforcement greatly increases concrete fatigue capacity, and that 3D-printed concrete has greater fatigue capacity relative to normally cast concretes with the same compressive. These findings formed the foundation for developing customized models and testing protocols to improve the understanding and prediction of concrete fatigue performance. The comparison and assessment of models involved a comprehensive evaluation of existing fatigue models against experimental results and the database of publicly available fatigue data. The study revealed significant variability in fatigue life predictions across models, highlighting the inadequacy of one-size-fits-all approaches commonly used in design standards. This analysis identified critical gaps, such as insufficient reporting of experimental parameters and limited consideration of material-specific behaviors. The research proposed refined methods for developing S-N (stress-life) curves tailored to specific concrete properties to address these shortcomings. This study's primary products and contributions were the measured fatigue behavior of large set of new experiments on concrete compressive fatigue that investigated the effect of previous untested or lightly tests effects, a comprehensive experimental database, and recommendations for standardized fatigue testing. The database provides new and existing fatigue test data within an Excel-based dashboard for analysis and visualization; this resource aids engineers and researchers in understanding key trends and variability in fatigue behavior. The study also produced a set of recommendations for standardized testing protocols and methods for developing customized fatigue models. These contributions enable the design of more cost-effective and durable wind turbine support structures, reducing material usage while enhancing safety and longevity. Additionally, the findings highlight the potential of emerging materials, such as 3DPC, for structural applications, fostering innovation in renewable energy infrastructure.
English
ISBN: 9798304916479Subjects--Topical Terms:
543314
Materials science.
Subjects--Index Terms:
Fatigue capacity
Factors Affecting the Uniaxial Compression Fatigue Performance of Structural Concrete /
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The design and assessment of reinforced concrete (RC) structures subjected to cyclic loading must consider concrete compression fatigue capacity which can control the design for some segments of towers and foundations that support wind turbines. Such structures endure high cyclic stresses due to wind, waves, and operational forces, which progressively degrade concrete's compressive capacity over time. This study involved an experimental investigation of factors affecting the compressive fatigue behavior of various types of concrete including traditional plain and reinforced concrete and 3D-printed concrete. The work also involved collecting and analyzing all publicly available fatigue data, comparing, and assessing existing fatigue models, and developing solutions for advancing fatigue research and the design of more cost-effective and durable towers and foundations that support wind turbines. The experimental testing consisted of a series of force-controlled fatigue tests that examined the influence of critical factors such as aggregate size and shape, longitudinal reinforcement, load eccentricity, and saturation on the compressive fatigue behavior. Data collected from these experiments provided insights into strain evolution, stiffness degradation, and the appearance of cracks under cyclic loading. Amongst the findings, the tests revealed that the use of larger angular aggregates and saturation significantly reduce fatigue life, that longitudinal reinforcement greatly increases concrete fatigue capacity, and that 3D-printed concrete has greater fatigue capacity relative to normally cast concretes with the same compressive. These findings formed the foundation for developing customized models and testing protocols to improve the understanding and prediction of concrete fatigue performance. The comparison and assessment of models involved a comprehensive evaluation of existing fatigue models against experimental results and the database of publicly available fatigue data. The study revealed significant variability in fatigue life predictions across models, highlighting the inadequacy of one-size-fits-all approaches commonly used in design standards. This analysis identified critical gaps, such as insufficient reporting of experimental parameters and limited consideration of material-specific behaviors. The research proposed refined methods for developing S-N (stress-life) curves tailored to specific concrete properties to address these shortcomings. This study's primary products and contributions were the measured fatigue behavior of large set of new experiments on concrete compressive fatigue that investigated the effect of previous untested or lightly tests effects, a comprehensive experimental database, and recommendations for standardized fatigue testing. The database provides new and existing fatigue test data within an Excel-based dashboard for analysis and visualization; this resource aids engineers and researchers in understanding key trends and variability in fatigue behavior. The study also produced a set of recommendations for standardized testing protocols and methods for developing customized fatigue models. These contributions enable the design of more cost-effective and durable wind turbine support structures, reducing material usage while enhancing safety and longevity. Additionally, the findings highlight the potential of emerging materials, such as 3DPC, for structural applications, fostering innovation in renewable energy infrastructure.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31769814
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