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Prediction of dam concrete structural properties based on wet-screened test results and mesoscale modelling

机译:基于湿筛试验结果和中尺度模型的大坝混凝土结构性能预测

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摘要

Dam or full-mixed concrete is produced with large aggregates which implies the use of large specimens, heavy laboratory equipment and non-standard embedding monitoring devices. The wet-screened concrete, obtained from the full-mixed concrete by sieving the larger aggregates while the concrete is still fresh, is used to cast smaller specimens and embed standard monitoring devices.;This thesis focuses on the prediction of the structural properties of dam concrete based on wet-screened concrete experimental results, analytical models and detailed particle models in which the mesostructure is represented.;In order to study the effect of wet-screening, an in situ experimental setup and a series of laboratory tests were carried out for both dam and wet-screened concretes. Three sets of creep cells were installed in a dam which allowed for the improvement of the experimental setup and the testing procedures, aiming to reduce costs, to facilitate the installation in situ and to increase the reliability of the results. The test results revealed the differences between the two types of concrete and the influence of the coarse aggregate on the deformability and strength properties.;Different analytical models based on composite models, on the equivalent age method, on size effect and on the Abrams law were developed to describe the instantaneous and delayed behaviour of concrete using the composition data and to establish a practical relationship between dam and wet-screened concrete behaviour. Similarly, a numerical solution based on the discrete element method applied to particle models was developed to predict the behaviour of dam concrete. A new fast numerical procedure for long-term analysis taking into account the aging viscoelastic behaviour of cementitious material is proposed. Particle models are especially suited for modelling dam concrete since the coarse aggregate structure can be explicitly represented, allowing the study of stress distribution inside the specimen and the study of complex failure patterns both in tension and compression. For the two types of approaches, the obtained experimental results were used to calibrate the main parameters and to validate the analytical and numerical prediction models.;The experimental results and the development of physically-based models highlighted the particular properties of dam concrete, allowed for a significant contribution to the analysis of concrete instantaneous and delayed behaviour and presented new approaches for the prediction of dam concrete behaviour based on the wet-screened properties.
机译:用大骨料生产大坝或完全混合的混凝土,这意味着要使用大型标本,重型实验室设备和非标准的嵌入式监测设备。通过筛分较大的骨料而仍保持新鲜状态的全混合混凝土得到的湿筛混凝土用于浇铸较小的试样并嵌入标准的监测装置。基于湿法筛分的混凝土试验结果,分析模型和表示细观结构的详细颗粒模型;为研究湿法筛分的效果,进行了现场试验设置和一系列实验室测试大坝和湿筛混凝土。在大坝中安装了三套蠕变单元,以改善实验装置和测试程序,以降低成本,方便就地安装并提高结果的可靠性。试验结果揭示了两种混凝土之间的差异以及粗骨料对变形性和强度性能的影响。基于复合模型,等效龄期方法,尺寸效应和艾布拉姆斯定律的不同分析模型分别为开发使用成分数据描述混凝土的瞬时和延迟行为,并建立大坝和湿筛混凝土性能之间的实用关系。同样,基于离散元方法的数值解决方案也被应用于颗粒模型,以预测大坝混凝土的性能。提出了一种新的用于长期分析的快速数值程序,该程序考虑了胶结材料的老化粘弹性行为。颗粒模型特别适合用于大坝混凝土的建模,因为可以清楚地表示出粗骨料结构,从而可以研究样本内部的应力分布以及研究拉伸和压缩过程中的复杂破坏模式。对于这两种方法,将获得的实验结果用于校准主要参数并验证分析模型和数值预测模型。实验结果和基于物理的模型的发展突显了大坝混凝土的特殊性能,允许对混凝土瞬时和延迟性能的分析做出了重大贡献,并提出了基于湿筛特性预测大坝混凝土性能的新方法。

著录项

  • 作者单位

    Universidade NOVA de Lisboa (Portugal).;

  • 授予单位 Universidade NOVA de Lisboa (Portugal).;
  • 学科 Civil engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 427 p.
  • 总页数 427
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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