<p>This paper proposes a methodology to estimate correlation models to simplify the quality control of fiber reinforced concrete (FRC) in large-scale projects, such as tunnel lining, that often face difficulties in collecting large amounts of test data prior to construction. The proposed methodology utilizes the Barcelona test to conduct an expedited experimental campaign that can be easily executed on site due to its sample versatility and simpler testing apparatus. By correlating results from the Barcelona test with those obtained from the three-point bending test recommended by <i>fib</i> Model Code 2010, it provides a reliable and simplified approach to estimating FRC design parameters in worksite conditions. The different correlation models obtained exhibit good accuracy, with coefficient of determination (<i>R</i><sup>2</sup>) values ranging from 0.69 to 0.82. The proposed methodology is expected to lower the entry barrier and make FRC a more widespread material technology, thus facilitating quality control processes in worksite conditions.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Correlating Bending and Barcelona Tests to Estimate FRC Design Parameters in Worksite Conditions

  • Daniel de Andrade Souza,
  • Aline da Silva Ramos Barboza,
  • Eduardo Toledo de Lima Junior

摘要

This paper proposes a methodology to estimate correlation models to simplify the quality control of fiber reinforced concrete (FRC) in large-scale projects, such as tunnel lining, that often face difficulties in collecting large amounts of test data prior to construction. The proposed methodology utilizes the Barcelona test to conduct an expedited experimental campaign that can be easily executed on site due to its sample versatility and simpler testing apparatus. By correlating results from the Barcelona test with those obtained from the three-point bending test recommended by fib Model Code 2010, it provides a reliable and simplified approach to estimating FRC design parameters in worksite conditions. The different correlation models obtained exhibit good accuracy, with coefficient of determination (R2) values ranging from 0.69 to 0.82. The proposed methodology is expected to lower the entry barrier and make FRC a more widespread material technology, thus facilitating quality control processes in worksite conditions.