Computers and Concrete

  • 제7권2호
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  • Pages.159-167
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  • 2010
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
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Numerical procedures for extreme impulsive loading on high strength concrete structures

  • Danielson, Kent T. (U.S. Army Engineer Research and Development Center) ;
  • Adley, Mark D. (U.S. Army Engineer Research and Development Center) ;
  • O'Daniel, James L. (U.S. Army Engineer Research and Development Center)
  • 투고 : 2009.08.10
  • 심사 : 2009.11.30
  • 발행 : 2010.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper demonstrates numerical techniques for complex large-scale modeling with microplane constitutive theories for reinforced high strength concrete, which for these applications, is defined to be around the 7000 psi (48 MPa) strength as frequently found in protective structural design. Applications involve highly impulsive loads, such as an explosive detonation or impact-penetration event. These capabilities were implemented into the authors' finite element code, ParaAble and the PRONTO 3D code from Sandia National Laboratories. All materials are explicitly modeled with eight-noded hexahedral elements. The concrete is modeled with a microplane constitutive theory, the reinforcing steel is modeled with the Johnson-Cook model, and the high explosive material is modeled with a JWL equation of state and a programmed burn model. Damage evolution, which can be used for erosion of elements and/or for post-analysis examination of damage, is extracted from the microplane predictions and computed by a modified Holmquist-Johnson-Cook approach that relates damage to levels of inelastic strain increment and pressure. Computation is performed with MPI on parallel processors. Several practical analyses demonstrate that large-scale analyses of this type can be reasonably run on large parallel computing systems.

키워드

참고문헌

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피인용 문헌

  1. The high-rate brittle microplane concrete model: Part I: bounding curves and quasi-static fit to material property data vol.9, pp.4, 2012, https://doi.org/10.12989/cac.2012.9.4.293
  2. The high-rate brittle microplane concrete model: Part II: application to projectile perforation of concrete slabs vol.9, pp.4, 2012, https://doi.org/10.12989/cac.2012.9.4.311
  3. Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams vol.11, pp.3, 2013, https://doi.org/10.12989/cac.2013.11.3.237
  4. Hydrodynamic meshfree method for high-rate solid dynamics using a Rankine-Hugoniot enhancement in a Riemann-SCNI framework vol.108, pp.12, 2016, https://doi.org/10.1002/nme.5266
  5. Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams vol.46, pp.6, 2013, https://doi.org/10.12989/sem.2013.46.6.853