Real-time hybrid simulation using materials testing machine and FEM

Mucha, Waldemar

doi:10.1201/b20057-90

Cited by 5 publications

(19 citation statements)

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“…In implicit methods the displacement for the next time step is computed using data from current and next time step, which in the context of hybrid simulation is a considerable drawback, as the forces that will be generated in the physical part in the next time step must be at least roughly estimated [2,4,8]. Therefore using explicit methods is highly recommended in hybrid simulation.…”

Section: Implicit Methodsmentioning

confidence: 99%

“…However, the biggest drawback is that they are only conditionally stable -the maximum (critical) time step is dependent on the highest free vibration oscillation period [4]. Taking into account real-time computations in hybrid simulation, often explicit methods are impossible to use, especially when dealing with mechanical systems with many degrees of freedom with high eigenfrequencies -the critical time step is lower than the time of computations, therefore real-time data processing is impossible [2].…”

Section: Explicit Methodsmentioning

confidence: 99%

“…The equation of motion (4) can be solved step-by-step using explicit or implicit methods. In every iteration the displacement for the next iteration must be computed, imposed on the physical part, the developed forces (dependent on the displacement and its history) measured and data sent back to the analysis [2,8].…”

Section: Explicit and Implicit Methodsmentioning

confidence: 99%

“…The typical applications of hybrid simulation are mechanical systems with elements that are too difficult or even impossible to model numerically. In hybrid simulation these elements are tested experimentally [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…Real-time means a previously specified time frame in which the computations must be reliably and, without fail, performed and the results made available. As FEM is a very computationally demanding method, it's implementation in real time is difficult, however possible and called Real Time Finite Element Method (RTFEM) [2].…”

Section: Introductionmentioning

confidence: 99%

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Mountain bicycle frame testing as an example of practical implementation of hybrid simulation using RTFEM

Mucha

Kuś

2018

AIP Conference Proceedings

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Abstract. The paper presents a practical implementation of hybrid simulation using Real Time Finite Element Method (RTFEM). Hybrid simulation is a technique for investigating dynamic material and structural properties of mechanical systems by performing numerical analysis and experiment at the same time. It applies to mechanical systems with elements too difficult or impossible to model numerically. These elements are tested experimentally, while the rest of the system is simulated numerically. Data between the experiment and numerical simulation are exchanged in real time. Authors use Finite Element Method to perform the numerical simulation. The following paper presents the general algorithm for hybrid simulation using RTFEM and possible improvements of the algorithm for computation time reduction developed by the authors. The paper focuses on practical implementation of presented methods, which involves testing of a mountain bicycle frame, where the shock absorber is tested experimentally while the rest of the frame is simulated numerically.

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Section: Implicit Methodsmentioning

confidence: 99%

Section: Explicit Methodsmentioning

confidence: 99%

Section: Explicit and Implicit Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mountain bicycle frame testing as an example of practical implementation of hybrid simulation using RTFEM

Mucha

Kuś

2018

AIP Conference Proceedings

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Metamodeling as a model order reduction technique in hybrid simulation using RTFEM

Mucha

Kuś

2018

AIP Conference Proceedings

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Application of Artificial Neural Networks in Hybrid Simulation

Mucha

2019

Applied Sciences

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Featured Application: Performing effective and efficient hybrid simulations of mechanical systems in real-time by implementing a model order reduction technique to the computational algorithm. The efficiency of the computations is understood as the ability to test systems of a higher number of degrees of freedom while maintaining high accuracy, without increasing the time step. Effective simulation is a simulation that allows acquiring correct results while maintaining the time regime.Abstract: Hybrid simulation is a technique for testing mechanical systems. It applies to structures with elements hard or impossible to model numerically. These elements are tested experimentally by straining them by means of actuators, while the rest of the system is simulated numerically using a finite element method (FEM). Data is interchanged between experiment and simulation. The simulation is performed in real-time in order to accurately recreate the dynamic behavior in the experiment. FEM is very computationally demanding, and for systems with a great number of degrees of freedom (DOFs), real-time simulation with small-time steps (ensuring high accuracy) may require powerful computing hardware or may even be impossible. The author proposed to swap the finite element (FE) model with an artificial neural network (ANN) to significantly lower the computational cost of the real-time algorithm. The presented examples proved that the computational cost could be reduced by at least one number of magnitude while maintaining high accuracy of the simulation; however, obtaining appropriate ANN was not trivial and might require many attempts. subsystem, which are measured in the form of a vector r P i+1 , where subsequent elements of the vector correspond to degrees of freedom (DOFs) of the discretized FE model [4,5]. Appl. Sci. 2019, 9, x FOR PEER REVIEW 2 of 19 are measured in the form of a vector r P i+1, where subsequent elements of the vector correspond to degrees of freedom (DOFs) of the discretized FE model [4,5].

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Real-time hybrid simulation using materials testing machine and FEM

Cited by 5 publications

References 0 publications

Mountain bicycle frame testing as an example of practical implementation of hybrid simulation using RTFEM

Mountain bicycle frame testing as an example of practical implementation of hybrid simulation using RTFEM

Metamodeling as a model order reduction technique in hybrid simulation using RTFEM

Application of Artificial Neural Networks in Hybrid Simulation

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