Projects, Data & Benchmarks


Experimental Benchmark Control Problem for Multi-axial Real-time Hybrid Simulation

A new multi-axial RTHS (maRTHS) benchmark control problem focused on a frame subjected to seismic load at the base has been developed.  Much of the past work has been centered on one-dimensional RTHS using a single hydraulic actuator. However, when the complexity of the problem demands to increase the number of degrees of freedom to be enforced on the boundary conditions, more than one hydraulic actuator must be used. To advance single-actuator RTHS cases into more realistic scenarios, we propose a control problem for both translation and rotation degrees of freedom, which considerably transforms the problem and escalates its complexity. This maRTHS benchmark includes experimental data for system identification, identified models with uncertainty, finite element models, control constraints, and a code package. We encourage participants to address the many aspects of maRTHS that will facilitate a more realistic examination of the dynamic behavior of structural systems.

Find the paper for this Benchmark here  and the companion code .

A Benchmark Control Problem for Real-Time Hybrid Simulation

C.E. Silva, D. Gomez, A. Maghareh, S.J. Dyke, and B.F. Spencer Jr. (2020). “Benchmark Control Problem for Real-Time Hybrid Simulation,” Mechanical Systems and Signal Processing, Vol 135, 1, January 2020,

A Benchmark problem statement for real-time hybrid simulation (RTHS) of a seismically excited building has been developed, and is presented to the community with the aim to advance the field. Although numerous RTHS control algorithms have been examined in recent years with computational simulation, few verifications have been validated in the laboratory or with realistic models that include uncertainty.This RTHS benchmark control problem has been developed to address this gap. It included realistic models of the physical components, parametric uncertainties, and control constraints. We anticipate that the lessons learned through this benchmark problem will provide a clear basis for evaluating the efficacy of various transfer system control strategies and expose research questions