Large-Scale Real-Time Hybrid Simulation for Evaluation of Advanced Damping System Performance

Friedman, Anthony; Dyke, Shirley J.; Phillips, Brian M.; Ahn, Ryan; Dong, Baiping; Chae, Younbyoung; Castaneda, Nestor; Jiang, Zhaoshuo; Zhang, Jianqiu; Cha, Young‐Jin; Ozdagli, Ali I.; Spencer, Billie F.; Ricles, James M.; Christenson, Richard; Agrawal, Anil K.; Sause, Richard

doi:10.1061/(asce)st.1943-541x.0001093

Cited by 68 publications

(34 citation statements)

References 26 publications

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“…First, it is a good approximation of the types of realistic computations often used in the civil engineering RTHS community [20,22], since it is completely regular and has highly deterministic behavior. Second, our goal is not to discover efficient finite element discretizations for parallel real-time computation, rather our goal here is to parallelize existing RTHS computations that are used in practice.…”

Section: Randomized Virtual Rthsmentioning

confidence: 99%

Real-time system support for hybrid structural simulation

Ferry

Bunting

Maghareh

et al. 2014

Proceedings of the 14th International Conference on Embedded Software

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Real-time hybrid simulation (RTHS) is an important tool in the design and testing of civil and mechanical structures when engineers and scientists wish to understand the performance of an isolated component within the context of a larger structure. Performing full-scale physical experimentation with a large structure can be prohibitively expensive. Instead, a hybrid testing framework connects part of a physical structure within a closed loop (through sensors and actuators) to a numerical simulation of the rest of the structure. If we wish to understand the dynamic response of the combined structure, this testing must be done in real-time, which significantly restricts both the size of the simulation and the rate at which it can be conducted.Adding parallelism to the numerical simulation can enable both larger and higher frequency real-time simulations, potentially increasing both the accuracy and the control stability of the test. We present a proof-of-concept exploration of the execution of real-time hybrid simulations (an exemplar of a more general class of cyber-mechanical systems) with parallel computations. We execute large numerical simulations within tight timing constraints and provide a reasonable assurance of timeliness and usability. We detail the operation of our system, its design features, and show how parallel execution could enable qualitatively better experimentation within the discipline of structural engineering.

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Section: Randomized Virtual Rthsmentioning

confidence: 99%

Real-time system support for hybrid structural simulation

Ferry

Bunting

Maghareh

et al. 2014

Proceedings of the 14th International Conference on Embedded Software

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“…The hardware of RT-LAB real-time simulation [7][8][9] system consists of photovoltaic cell, boost circuit, RT-LAB simulation machine and simulation target machine, whereas Fig. (4).…”

Section: Testing System Structure and Experiments Circuitmentioning

confidence: 99%

Real-Time Simulation and Research on Photovoltaic Power System based on RT-LAB

Yuan¹,

Yan²,

Zhu³

2015

TOEFJ

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Abstract:The maximum power point tracking (MPPT) controller in the Photovoltaic system is the key to verify all kinds of MPPT control algorithms. But the development of actual controller has the defects of needing long periods, artificial code writing and so on. RT-LAB real-time simulation platform is an advanced model-based engineering design and test application platform. The outstanding real-time performance in the current experimental study and engineering design made it used more and more widely. Therefore, it is necessary to introduce its hardware and software structure and realtime performance in detail. This paper gave a comprehensive and systematic introduction to hardware architecture, software architecture and simulation process of RT-LAB. It also presented a semi-physical simulation experiment of photovoltaic system MPPT using the features of Photovoltaic MPPT and semi-physical Real-Time simulation technology. The MPPT control strategy is achieved by establishing model using Simulink package. Other parts of the main circuit were physical circuit except controller. The parameter adjustment functions of online RT-LAB can easily optimize controller parameters. Two special tools, ARTEMIS and RT-Events used in power electronics were described in detail. The RT-LAB software modeling standard was also illustrated. The testing results showed that the usage of RT-LAB for the development of photovoltaic controller can resolve many problems in the current controller development. The application of RT-LAB in photovoltaic systems provides a reference for the micro grid, smart grid and other real-time systems.

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“…This improvement in approach was needed because of compliance and other dynamic characteristics of the test setup, which will be present in most large-scale RTHS. In [22,23], the experimental substructure is a three-story structure with an MR damper in the first story, and the analytical substructure is a 3-DOF linear numerical model; the ground motion for the RTHS was the 1940 El Centro earthquake record scaled by 0.5. Two phases of RTHS were conducted: in the first phase, the DBF is the experimental substructure, and in the second phase, the DBF together with the MRF is the experimental substructure.…”

mentioning

confidence: 99%

“…In [22,23], the experimental substructure is a three-story structure with an MR damper in the first story, and the analytical substructure is a 3-DOF linear numerical model; the ground motion for the RTHS was the 1940 El Centro earthquake record scaled by 0.5. In [22,23], the experimental substructure is a three-story structure with an MR damper in the first story, and the analytical substructure is a 3-DOF linear numerical model; the ground motion for the RTHS was the 1940 El Centro earthquake record scaled by 0.5.…”

mentioning

confidence: 99%

Accurate real‐time hybrid earthquake simulations on large‐scale MDOF steel structure with nonlinear viscous dampers

Dong

Sause

Ricles

2015

Earthq Engng Struct Dyn

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Summary This paper presents real‐time hybrid earthquake simulation (RTHS) on a large‐scale steel structure with nonlinear viscous dampers. The test structure includes a three‐story, single‐bay moment‐resisting frame (MRF), a three‐story, single‐bay frame with a nonlinear viscous damper and associated bracing in each story (called damped braced frame (DBF)), and gravity load system with associated seismic mass and gravity loads. To achieve the accurate RTHS results presented in this paper, several factors were considered comprehensively: (1) different arrangements of substructures for the RTHS; (2) dynamic characteristics of the test setup; (3) accurate integration of the equations of motion; (4) continuous movement of the servo‐controlled hydraulic actuators; (5) appropriate feedback signals to control the RTHS; and (6) adaptive compensation for potential control errors. Unlike most previous RTHS studies, where the actuator stroke was used as the feedback to control the RTHS, the present study uses the measured displacements of the experimental substructure as the feedback for the RTHS, to enable accurate displacements to be imposed on the experimental substructure. This improvement in approach was needed because of compliance and other dynamic characteristics of the test setup, which will be present in most large‐scale RTHS. RTHS with ground motions at the design basis earthquake and maximum considered earthquake levels were successfully performed, resulting in significant nonlinear response of the test structure, which makes accurate RTHS more challenging. Two phases of RTHS were conducted: in the first phase, the DBF is the experimental substructure, and in the second phase, the DBF together with the MRF is the experimental substructure. The results from the two phases of RTHS are presented and compared with numerical simulation results. An evaluation of the results shows that the RTHS approach used in this study provides a realistic and accurate simulation of the seismic response of a large‐scale structure with rate‐dependent energy dissipating devices. Copyright © 2015 John Wiley & Sons, Ltd.

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Large-Scale Real-Time Hybrid Simulation for Evaluation of Advanced Damping System Performance

Cited by 68 publications

References 26 publications

Real-time system support for hybrid structural simulation

Real-time system support for hybrid structural simulation

Real-Time Simulation and Research on Photovoltaic Power System based on RT-LAB

Accurate real‐time hybrid earthquake simulations on large‐scale MDOF steel structure with nonlinear viscous dampers

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