A Real-Time Hybrid Fire Simulation Method Based on Dynamic Relaxation and Partitioned Time Integration

Abbiati, Giuseppe; Covi, Patrick; Tondini, Nicola; Bursi, Oreste S.; Stojadinović, Božidar

doi:10.1061/(asce)em.1943-7889.0001826

Cited by 24 publications

(13 citation statements)

References 20 publications

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“…HS is gaining popularity for component-level testing in fire engineering. The reason is that internal force redistribution occurring at the system level heavily influences the failure modes at the component level (e.g., (Whyte et al, 2016;Abbiati et al, 2020)). More recently, HS has been combined with centrifuge testing for investigating soil-structure interaction problems (Idinyang et al, 2019).…”

Section: Background and Motivationmentioning

confidence: 99%

A global sensitivity analysis framework for hybrid simulation with stochastic substructures

Tsokanas¹,

Zhu²,

Abbiati³

et al. 2021

Preprint

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Hybrid simulation is used to investigate the experimental dynamic response of a component or sub-assembly of a prototype structure using a hybrid model. The latter comprises both physically-tested and numerically-simulated substructures interacting with each other in a real-time feedback loop. In this study, we extend our previous work on metamodel-based sensitivity analysis of deterministic hybrid models to the practically more relevant case of stochastic hybrid models. The aim is to cover a more realistic situation where the physical substructure response is not deterministic. A generalized lambda surrogate model recently developed by some of the authors is proposed to surrogate the hybrid model response, and Sobol' sensitivity indices are computed for substructure quantity of interest response quantiles. The effectiveness of the proposed hybrid simulation global sensitivity analysis framework is demonstrated using an experiment.

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Section: Background and Motivationmentioning

confidence: 99%

A global sensitivity analysis framework for hybrid simulation with stochastic substructures

Tsokanas¹,

Zhu²,

Abbiati³

et al. 2021

Preprint

Self Cite

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“…The HFT algorithm proposed in [1] combines the dynamic relaxation method and partitioned time integration to solve the static coupled equation of motion of the hybrid model. The basic idea behind dynamic relaxation is to obtain the displacement solution * Corresponding author e-mail: abbiati@cae.au.dk…”

Section: Coordination Algorithmmentioning

confidence: 99%

“…There is a general consensus among researchers that coordination algorithms should rely on a constant PS tangent stiffness matrix estimate, possibly equal to its initial value, and facilitate the reuse of existing structural analysis software for simulating the NS. Consistent with this philosophy, a HFT coordination algorithm was recently proposed by Abbiati et al [1], which relies on dynamic relaxation and partitioned time integration. The experimental validation of the algorithm on a single-degree-of-freedom (single-DoF) hybrid model was recently carried out at the Danish Institute of Fire Safety and Security Technology by Sauca et al [2].…”

Section: Introductionmentioning

confidence: 99%

Multi-Axial Hybrid Fire Testing based on Dynamic Relaxation

Tsokanas¹,

Abbiati²,

Kanellopoulos³

et al. 2021

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“…HS has been widely used across different engineering disciplines [6,7,8,9,10]. However, it is often the case that the hybrid model and related excitation are conceived as deterministic.…”

Section: Introductionmentioning

confidence: 99%

A comparison of surrogate modeling techniques for global sensitivity analysis in hybrid simulation

Tsokanas¹,

Pastorino²,

Stojadinović³

2021

Preprint

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Hybrid simulation is a method used to investigate the dynamic response of a system subjected to a realistic loading scenario. The system under consideration is divided into multiple individual loading-rate-sensitive substructures, out of which one or more are tested physically, whereas the remaining are simulated numerically. The coupling of all substructures forms the so-called hybrid model. Although hybrid simulation has been extensively used across various engineering disciplines, it is often the case that the hybrid model and related excitation is conceived as deterministic. However, associated uncertainties are present whilst simulation deviation due to their presence could be significant. To this regard, global sensitivity analysis based on Sobol' indices can be used to determine the sensitivity of the hybrid model response due to the presence of the associated uncertainties. Nonetheless, estimation of the Sobol' sensitivity indices requires unaffordable amount of hybrid simulation evaluations. Therefore, surrogate modeling techniques are used to alleviate this burden. In this paper, three different surrogate modeling methods are examined, namely polynomial chaos expansion, Kriging and polynomial chaos Kriging. A case study encompassing a virtual hybrid model is employed and hybrid model response quantities of interest are selected. Their respective surrogates are developed using all three aforementioned techniques. The Sobol' indices obtained utilizing each examined surrogate are compared with each other and results highlight potential deviations.

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A Real-Time Hybrid Fire Simulation Method Based on Dynamic Relaxation and Partitioned Time Integration

Cited by 24 publications

References 20 publications

A global sensitivity analysis framework for hybrid simulation with stochastic substructures

A global sensitivity analysis framework for hybrid simulation with stochastic substructures

Multi-Axial Hybrid Fire Testing based on Dynamic Relaxation

A comparison of surrogate modeling techniques for global sensitivity analysis in hybrid simulation

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