Computers and Concrete

  • 제4권6호
  • /
  • Pages.437-456
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  • 2007
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Shrinkage analysis of reinforced concrete floors using shrinkage-adjusted elasticity modulus

  • Au, F.T.K. (Department of Civil Engineering, The University of Hong Kong) ;
  • Liu, C.H. (Department of Civil Engineering, The University of Hong Kong) ;
  • Lee, P.K.K. (Department of Civil Engineering, The University of Hong Kong)
  • 투고 : 2007.03.30
  • 심사 : 2007.11.30
  • 발행 : 2007.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

The shrinkage of large reinforced concrete floors often gives rise to cracking problems. To identify the problematic areas, shrinkage movement analysis is often carried out by finite element method with proper creep and shrinkage models using step-by-step time integration. However as the full stress history prior to the time interval considered is necessary, with the increase in the number of time intervals used, the amount of computations increases dramatically. Therefore a new method using the shrinkage-adjusted elasticity modulus (SAEM) is introduced so that analysis can be carried out using one single step. Examples are presented to demonstrate its usefulness.

키워드

참고문헌

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피인용 문헌

  1. Development of early age shrinkage stresses in reinforced concrete bridge decks vol.12, pp.4, 2008, https://doi.org/10.1007/s11043-008-9067-4
  2. Capturing the long-term dynamic properties of concrete cable-stayed bridges vol.57, 2013, https://doi.org/10.1016/j.engstruct.2013.10.007
  3. An Efficient Method for Time-Dependent Analysis of Composite Beams vol.14, 2011, https://doi.org/10.1016/j.proeng.2011.07.234
  4. Radial Basis Function Neural Network Models for Peak Stress and Strain in Plain Concrete under Triaxial Stress vol.22, pp.9, 2010, https://doi.org/10.1061/(ASCE)MT.1943-5533.0000077
  5. Shrinkage movement analysis of reinforced concrete floors constructed in stages vol.6, pp.2, 2007, https://doi.org/10.12989/cac.2009.6.2.167
  6. Prediction of compressive strength of concrete using neural networks vol.10, pp.2, 2007, https://doi.org/10.12989/cac.2012.10.2.197
  7. A model for the restrained shrinkage behavior of concrete bridge deck slabs reinforced with FRP bars vol.20, pp.2, 2007, https://doi.org/10.12989/cac.2017.20.2.215