( iISL ) Intelligent Infrastructure Systems Laboratory Intelligent Infrastructure Systems Laboratory ( iISL ) Purdue University, West Lafayette, IN 47907.

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( iISL ) Intelligent Infrastructure Systems Laboratory Intelligent Infrastructure Systems Laboratory ( iISL ) Purdue University, West Lafayette, IN Phone: (765) Fax: (765) An Innovative Simulation Tool for Real-time Hybrid Testing of Mechanical Systems Final Report Cyber Center-Special Incentive Research Grant (SIRG) PhD Candidate: Nestor Castaneda Faculty: Shirley J. Dyke and Rudolf Eigenmann August 15, 2011

( iISL ) Intelligent Infrastructure Systems Laboratory  Motivation  Objective  Development  Preliminary evaluation Advanced control techniques for building structures  Application: Advanced control techniques for building structures  Experimental Validation  Concluding remarks Outline

( iISL ) Intelligent Infrastructure Systems Laboratory  Performance validation is critical for the acceptance of new structural systems.  Hybrid testing techniques can reduce the cost involved with fabrication and full-scale testing of large-scale structures.  Within a hybrid test implementation, critical components of the structural system under evaluation can be physically tested to be better understood while the more predictable ones can be represented with computational models.  In addition, continuous or real-time strategies are also desired for hybrid test implementations to generate more realistic motions and expand their applicability for testing rate-dependent systems. Motivation

( iISL ) Intelligent Infrastructure Systems Laboratory The computational tool must ensure robust compatibility between simulated and experimental components during testing. Therefore, it should be capable to run in real-time and recreate the physical behavior of the simulated component with sufficient accuracy. Motivation

( iISL ) Intelligent Infrastructure Systems Laboratory Objective  The objective of the present research focuses on the: The focus of this research is to develop, implement and validate a computational simulation tool adequate for real‐time hybrid testing of mechanical systems.  The simulation tool is co-designed to achieve two main goals : Perform nonlinear dynamic analysis of structures (with an initial emphasis in building structures). Perform nonlinear dynamic analysis of structures (with an initial emphasis in building structures). Achieve robust real-time execution to ensure stability and compatibility between the simulated and experimental components during testing. Achieve robust real-time execution to ensure stability and compatibility between the simulated and experimental components during testing.

( iISL ) Intelligent Infrastructure Systems Laboratory Development  The simulation tool requires capabilities to account for:  Sources of non-linear behavior for building structures  Adequate real-time processing performance  Therefore, a set of features are being developed progressively so both requirements can be achieved in parallel includes: Nonlinear beam element and bilinear hysteresis rule Nonlinear beam element and bilinear hysteresis rule Structural joint modeling Structural joint modeling Second order effects Second order effects Integration scheme Integration scheme Integration with a real-time hybrid test platform Integration with a real-time hybrid test platform Parallel computing scheme (in progress) Parallel computing scheme (in progress) Phenomenological modeling of hysteretic behavior (in progress) Phenomenological modeling of hysteretic behavior (in progress)

( iISL ) Intelligent Infrastructure Systems Laboratory current flexural stiffness at sections A,B They are determined from the hysteretic model Nonlinear Beam - Element Shear stiffness and length of the member Yield penetration parameters and the flexural stiffness at the center. Function of the moment distribution and previous yield penetration history. Plastic hinges on column/beam elements can be recreated either by two models, the spread plasticity model (SPM) or the concentrated plasticity model (CPM).

( iISL ) Intelligent Infrastructure Systems Laboratory  Giberson, M. (1967) “ The Response of Nonlinear Multi-story Structures subjected to Earthquake Excitation”. Doctor of Philosophy Thesis, California Institute of Technology  Lobo, R.F. (1994). Inelastic Dynamic Analysis of Reinforced Concrete Structures in Three Dimensions. Ph.D. Dissertation, Dept. of Civil Engrg. New York State University at Buffalo.  Valles, R.E.,Reinhorn,A.M.,Kunnath, S.K.,Li,C. and Madan, A. (1996). “IDARC2D Version4.0: A Computer Program for the Inelastic Damage Analysis of the Buildings.” Technical Report NCEER , Nat. Ctr. For Earthquake Engrg. Res., Buffalo, New York. Nonlinear Beam - Element

( iISL ) Intelligent Infrastructure Systems Laboratory Bilinear hysteresis rule  A bilinear hysteresis model, as shown in the below figure, is used to model the plastic hinges, on the structural members. A kinematic hardening rule is assumed in the proposed hysteresis rule. No isotropic hardening is assumed.  The bilinear bending properties are predefined for each structural member and are assumed to occur at the moment resisting column beam and column-column connections

( iISL ) Intelligent Infrastructure Systems Laboratory Structural joint modeling (Panel zone)  Two models are proposed for the modeling of the panel zone effect: Rigid-body version and a Linear version with bidirectional tension/compression and shear distortion effect.  The model is defined by three displacements at the center of the panel zone uo = {u, v, θ} and three deformation modes for the panel zone upz = {α, β, γ}. The degrees of freedom at each beam/column element end connected to the panel zone joints can be associated to those at the center via a transformation matrix that ensures kinematic compatibility as well as enforces the equilibrium equations.  Hjelmstad, K.D. and Haikal, G. (2006). “Analysis of Steel Moment Frames with Deformable Panel Zones”. Steel Structures, 2006, pages

( iISL ) Intelligent Infrastructure Systems Laboratory Second Order effects (P-Delta Effects)  The P-Delta problem can be linearized and the solution obtained accurately when the mass is assumed constant during the simulation and the overall structural displacements are assumed to be small.  Therefore, the accumulated weight can be distributed as compressive-axial forces acting on the corresponding column.  Thus, geometric stiffness matrices can be constructed and assembled into the global stiffness matrix to account for the overall P-Delta effect.  Wilson, E.L. and Habibullah, A. (1987). "Static and Dynamic Analysis of Multi-story Buildings including P-Delta Effects," Earthquake Spectra Journal, EERI, Vol. 3, No.2, pp

( iISL ) Intelligent Infrastructure Systems Laboratory Integration Scheme  A new integration algorithm, called the CR algorithm is proposed in the current tool. The integration scheme is explicit and unconditional stable when linear and nonlinear (with softening behavior) are evaluated. The development of the algorithm is performed in the discrete “Z” domain. By assigning proper stable poles to the discrete transfer function, the CR algorithm is unconditionally stable and has the same accuracy as the Newmark method with constant acceleration  The CR algorithm, besides being unconditionally stable, has the advantage of being based on expressions for displacement and velocity that are both explicit in form. These features make the CR algorithm appealing for being used in RTHT applications since no stiffness matrix inversion and nonlinear solver is required.  Chen C, Ricles JM. Development of direct integration algorithms for structural dynamics using discrete control theory. Journal of Engineering Mechanics 2008

( iISL ) Intelligent Infrastructure Systems Laboratory  The simulation tool is implemented as a Embedded MATLAB subset function format. The Embedded function (Embedded MATLAB toolbox) supports efficient code generation to accelerate fixed-point algorithm execution for embedded systems.  SIMULINK is used to integrate the simulation tool with the remaining RTHT components so a unique platform can be generated for real-time execution.  The MATLAB/xPC Target is used to generate and compile a C-source code from the SIMULINK model (host PC) that can be downloaded into a target real-time kernel (target PC) for execution.  xPC Target is a high performance host-target system that allows SIMULINK models to be integrated with physical systems for real-time execution purposes. Integration with a real-time hybrid test platform

( iISL ) Intelligent Infrastructure Systems Laboratory  Two preliminary evaluations of the stability – convergence and accuracy of the computational tool using two different experimental scenarios were performed.  Both evaluations were performed by having a Magneto-rheological (MR) damper specimen as the experimental component and a 2D steel frame structure as the numerical component.  Both implementations were performed with two different target real-time kernel systems (xpc) and (Dspace)  One evaluation was performed at the Intelligent Infrastructure Systems Laboratory (IISL) at Purdue University and the other one at the University of Illinois at Urbana-Champaign. Preliminary evaluation

( iISL ) Intelligent Infrastructure Systems Laboratory  MR dampers operation is based on controllable MR fluids. MR fluids have the ability to change from free-flowing, linear, viscous fluid to a semi-solid condition in milliseconds when exposed to a magnetic field. A MR damper is a class of a semi-active control device which requires much less energy consumption to operate when compared to active control devices.  A magneto-rheological (MR) damper specimen, currently available at the Intelligent Infrastructure Systems Laboratory at Purdue University (IISL), is intended to be utilized for the proposed study.  Dyke, S.J., Spencer, B.F., Jr., Sain, M.K., and Carlson, J.D., (1997) “Phenomenological Model of a Magnetorheological Damper,” ASCE Journal of Engineering Mechanics 123(3): Preliminary evaluation

( iISL ) Intelligent Infrastructure Systems Laboratory Preliminary evaluation Real-time hybrid test implementation at the IISL:  Structural model: 2D - two story – one bay frame model ( 12 DOF) Columns: 2x1.25 in ; Beams 1x0.5 in; seismic mass per floor kg  The model is subjected to the N-S earthquake component recorded at the Imperial Valley Irrigation District substation in El Centro, California, during the Imperial Valley, California earthquake of May 18, Intensity = 0.5.  Parameters of the MR damper device were calibrated based on a phenomenological model.  Experiment is performed at 1024 Hz

( iISL ) Intelligent Infrastructure Systems Laboratory Preliminary evaluation: Semi-active case

( iISL ) Intelligent Infrastructure Systems Laboratory Preliminary evaluation Real-time hybrid test implementation at the UIUC:  Structural model: Prototype structure designed by Lehigh university as part of NEESR research project: Performance-Based Design and Real-time, Large-scale Testing to Enable Implementation of Advanced Damping Systems. The model is composed by an MRF - DBF - Lean-on column components. The structural model has 84 DOF and 36 elements.  The model is subjected to the N-S earthquake component recorded at the Imperial Valley Irrigation District substation in El Centro, California, during the Imperial Valley, California earthquake of May 18, Intensity =  Parameters of the MR damper device were calibrated based on a phenomenological model.  Experiment is performed at 1024 Hz

( iISL ) Intelligent Infrastructure Systems Laboratory Preliminary evaluation

( iISL ) Intelligent Infrastructure Systems Laboratory Intelligent Infrastructure Systems Laboratory ( iISL ) Purdue University, West Lafayette, IN Phone: (765) Fax: (765) Preliminary evaluation: Semi-active case

( iISL ) Intelligent Infrastructure Systems Laboratory  An study on advanced control techniques for building structures using MR dampers is intended to become the follow-up research step for experimental validation and application of the proposed tool. The recently built reaction system located at the IISL and designed for the Cyber-physical Instrument for Real-time hybrid Structural Testing (CIRST) project is utilized as a test-bed for the proposed study. Application: Advanced control techniques for building structures

( iISL ) Intelligent Infrastructure Systems Laboratory  The CIRST project, managed by The IISL at Purdue University and the CS Department Washington University in St. Louis, focuses in developing a system capable to ensure how physical and simulated components of a RTHT test can be integrated flexibly and efficiently under a common reusable middleware architecture. Application: Advanced control techniques for building structures

( iISL ) Intelligent Infrastructure Systems Laboratory Experimental Validation  The experimental validation of the proposed tool is performed by having a magneto- rheological (MR) damper specimen as the experimental substructure and a 2D steel frame structure as the numerical substructure.  Three experiments are proposed. Comparison of the first two experiments is intended to evaluate the feasibility of the simulation tool to be implemented in real- time. Comparison between the second and third scenario is intended to evaluate the ability of the simulation tool to accurately replicate the dynamic response of the structure specimen.

( iISL ) Intelligent Infrastructure Systems Laboratory  Specimen and lateral-bracing system have been constructed and are currently erected in the reaction-wall of the IISL Experimental Validation

( iISL ) Intelligent Infrastructure Systems Laboratory Experimental Validation

( iISL ) Intelligent Infrastructure Systems Laboratory Experimental Validation Real-time hybrid test to compare first and third scenario:  Structural model: 2D - one story – one bay frame model ( 12 DOF) Columns and beams are modeled as specified by design; seismic mass per floor kg  The model is subjected to the N-S earthquake component recorded at the Imperial Valley Irrigation District substation in El Centro, California, during the Imperial Valley, California earthquake of May 18, Intensity = 0.4.  RTHT experiment is performed at 1024 Hz

( iISL ) Intelligent Infrastructure Systems Laboratory Intelligent Infrastructure Systems Laboratory ( iISL ) Purdue University, West Lafayette, IN Phone: (765) Fax: (765) Experimental Validation: Comparison 1st scenario/3 rd scenario

( iISL ) Intelligent Infrastructure Systems Laboratory Concluding remarks  Real-time hybrid test have become a novel testing technique to validate the performance of rate-dependent systems.  However, a reliable simulation tool is needed to ensure robust compatibility between simulated and experimental components during testing.  In this presentation, the main achievements up to date in the development and validation process for a simulation tool adequate for performing real-time hybrid testing of mechanical systems have been presented.