Partitioned modelling for nonlinear dynamic analysis of RC buildings under earthquake loading

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Partitioned modelling for nonlinear dynamic analysis of RC buildings under earthquake loading. B.A. Izzuddin, L. Macorini and G. Rinaldin www.imperial.ac.uk/csm. Overview. Introduction Nonlinear dynamic analysis of RC buildings Partitioned modelling for parallel processing
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Partitioned modelling for nonlinear dynamic analysis of RC buildings under earthquake loadingB.A. Izzuddin, L. Macorini and G. Rinaldinwww.imperial.ac.uk/csmOverview
  • Introduction
  • Nonlinear dynamic analysis of RC buildings
  • Partitioned modelling for parallel processing
  • Application study
  • Conclusion
  • Introduction
  • Retrofitting and strengthening RC buildings in earthquake regions
  • Nonlinear dynamic analysis for seismic assessment
  • Accuracy vs computational demand
  • Partitioned modelling on distributed memory HPC
  • Overcoming memory bottleneck for large-scale structures
  • Reduced simulation time through parallelisation
  • Nonlinear dynamic analysis of RC buildings
  • Interactions between frame, floor slabs and lateral resistance system
  • Geometric and material nonlinearity
  • Modelling of frame members with 1D elements
  • Fibre elements with nonlinear material models
  • Modelling of floor slabs and shear walls with 2D elements
  • Step-by-step time-integration scheme
  • Accuracy, stability and dissipation of higher modes (e.g. HHT)
  • Prohibitive memory and computational demands for real RC buildings
  • Partitioned Modelling for Parallel ProcessingCase 2: A parent and a child partition (parent also models a part of structure made with other elements)Case 3: A parent and a child partition (Same as case 2 but parent and child roles reversed)Case 1: A parent and 2 child partitions (parent has only partition super elements)Placeholder super-element on parent sideDual partition super-element on child sidePartitioned Modelling for Parallel Processing
  • Child partitions represented in parent by placeholder super-elements
  • Parent and child partitions processed in parallel
  • Child partition wrapped by dual super-element along interface boundary
  • Parallelisation through communication between placeholder/dual super-elements
  • Effective recovery of super-element resistance/stiffness via frontal solution method
  • Benefits of partitioned modelling approach using distributed memory HPC
  • Overcoming memory bottlenecks and parallel element computations in subdomains
  • Additional performance benefits due to parallelisation of frontal solution with reduced front widths
  • Application Study
  • Irregular 4-storey RC building
  • Modelling of beams/columns with 1D elements of fibre-type
  • Modelling of floor slab diaphragm action using equivalent planar bracing units
  • Geometric and material nonlinearity
  • Seismic excitation in two horizontal X-Y directions
  • Application Study
  • Three computational models with different number of partitions
  • Model (A): monolithic (1 process)
  • Model (B): 4 child partitions (5 processes)
  • Model (C): 14 child partitions (15 processes)
  • Partition interface boundaries at column locations for models (B) and (C)
  • Small number of parent nodes compared to child partitions
  • Effective for reducing communication overhead between processes
  • Avoids wall-clock time being imposed by solution of equations at parent level
  • Ideal speed-up equal to number of child partitions
  • Application Study
  • Identical accuracy for monolithic and partitioned models
  • Excellent speed-up for partitioned models
  • Exceptional speed-up for Model (C) exceeding number of child partitions
  • Considerable reduction in front width
  • Effective implementation of parallel frontal solver on distributed memory HPC systems
  • Conclusion
  • Nonlinear dynamic analysis of buildings subject to earthquake loading
  • Computational demand can be prohibitive for real structures
  • Partitioned modelling approach for parallel HPC
  • Based on parent/child partitions and associated processes
  • Identical accuracy to monolithic approach with use of dual super-elements for recovery of condensed resistance/stiffness at partition interface boundary
  • Computational benefits in terms of speed-up and overcoming memory bottleneck
  • Application to 4-storey RC building subject to earthquake loading
  • Exceptional speed-up of 27 with only 14 child partitions
  • Additional benefits arising from effective parallelisation of frontal solver leading to reduced front widths
  • Practical prospect for nonlinear seismic assessment of real structures
  • Partitioned modelling for nonlinear dynamic analysis of RC buildings under earthquake loadingB.A. Izzuddin, L. Macorini and G. Rinaldinwww.imperial.ac.uk/csm
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