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Seismic Simulation: Advances with OpenSees

Seismic Simulation: Advances with OpenSees. Gregory L. Fenves University of California, Berkeley PEER Annual Meeting January 18, 2002. Simulation in PBEE. Performance Based Engineering depends on evaluation seismic demands (EDP) and damage (DM).

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Seismic Simulation: Advances with OpenSees

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  1. Seismic Simulation:Advances with OpenSees Gregory L. FenvesUniversity of California, Berkeley PEER Annual MeetingJanuary 18, 2002

  2. Simulation in PBEE • Performance Based Engineering depends on evaluation seismic demands (EDP) and damage (DM). • Rational, validated models of behavior of structural and geotechnical materials, components and systems are needed for simulating performance. • Simulation applications: • Assessment • Design using parameterized models • Reliability-based design • Improved software needed for PBEE methodologies. • OpenSees is PEER’s software framework for seismic simulation to support these applications.

  3. Status of OpenSees • All information available on website at opensees.berkeley.edu • Documentation • Source code browser • Downloads (source code, Win32 exe) • Version 1.2 is the current release • Development versions ahead of release, but most developments available in CVS (source code versioning system) for checkout.

  4. OpenSees in 2001 • Nonlinear static and dynamic analysis of 3D structural and soil-foundation systems. • Increase robustness and performance. • Begin to support simulation needs for testbeds. • Continue as research platform for modeling of non-ductile components, particularly degrading shear behavior. • Work on documentation and user/developer workshops.

  5. InformationTechnology Algorithms, Solvers, Parallel/distributed computing Computation Software framework, Databases, Visualization, Internet/grid computation Models Simulation models, Performance models, Limit state models Material, component, system models Open-Source Community Simulation Framework Conceptual Approach for Simulation

  6. Summary of Models • Elements • Beam-column elements for 2D and 3D based on force formulation • Zero-length elements • Plate elements (new) • 2D and 3D continuum elements (including mixed formulation for incompressibility) • Materials • Library of 1D uniaxial models • Fairly general hysteretic models • New p-y models • Constitutive models (e.g. J2 plasticity, soil models)

  7. Element Basic System Beam-Column Geometry GeometricTran Linear LinearPD Corotational (Filippou)

  8. Displacement Force s Basic System e e, s Section Beam-Column Models Material No assumptions are made on section or material behavior; each level in the hierarchy can be defined independently of other levels

  9. ultimate ultimate M V yield residual residual cracking f g Aggregation of Section Model 0,1 ForceDeformation SectionAggregator UniaxialMaterial Decorator Pattern Options for coupling: New ForceDeformation Class Inter-object communication

  10. Models under Development • Generalized hinge models for beam-columns (Deierlein) • Beam-column joint models (Lowes) • Coupled shear-axial-flexure models (Filippou) • Continuing work on soil models

  11. Computational Procedures • Nonlinear solution algorithms: • Newton-Raphson • BFGS and Broyden’s • Other quasi-newton methods (e.g. using Krylov subspace updates) • Line search options • Converge options and “remediation” • Load stepping procedures: • Variety of nonlinear static, arc-length, displacement control… • Dynamic including Newmark, HHT • Equation solvers • Several equation solvers available depending on problem topology and computer hardware.

  12. Law, Peng, Stanford Simulation Services Architecture

  13. Application: Performance of Cable-Stayed Bridge Charles ChadwellUC Berkeley

  14. OpenSees Model

  15. Response to Pulse Motion

  16. Response to Recorded Motion TCU079 TCU129

  17. PEER Testbeds Issues for 2002 • Models • Degradation, shear-flexure, bond slip, joints • Soil-pore fluid models • Pile-foundation models • Validation protocols • Input motions and coupled simulations • PBEE Design and Simulation • Parameterization of models, sensitivity • Reliability • Computing and Information Technology • Parallel and distributed computing • Visualization • Internet and “Grid Aware” applications (NEES)

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