A composite experimental dynamic substructuring method based on partitioned algorithms and localized Lagrange multipliers

Abbiati, Giuseppe; Salandra, Vincenzo La; Bursi, Oreste S.; Caracoglia, Luca

doi:10.1016/j.ymssp.2017.07.020

Cited by 13 publications

(11 citation statements)

References 34 publications

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“…This type of coupling for laboratory experiments can be achieved with a hybrid simulation (HS), where the tank and the foundation are modeled as Numerical Substructures (NS), while a piping setup in a laboratory represents the Physical Substructure (PS). The setup for the studied experiment is based on the theoretical work of Abbiati et al [27], where m substructures are coupled with localized Lagrange multipliers resulting in the following set of differential algebraic equations:…”

Section: Seismic Performance Of the Coupled Tank-foundation-pipeline Systemmentioning

confidence: 99%

Design of a Metamaterial-Based Foundation for Fuel Storage Tanks and Experimental Evaluation of Its Effect on a Connected Pipeline System

Wenzel

Basone

Bursi

2020

Journal of Pressure Vessel Technology

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The recent advance of seismic metamaterials has led to various concepts for the attenuation of seismic waves, one of them being the locally resonant metamaterial. Based on this concept, the so-called metafoundation has been designed. It can effectively protect a fuel storage tank from ground motions at various fluid levels. In order to show the effectiveness of the proposed design, the response of the metafoundation is compared to the response of a tank on a traditional concrete foundation. The design process of conceiving the metafoundation, optimizing it for a specific tank, and its seismic response are described herein. Furthermore, the response of a tank during a seismic event can cause severe damages to pipelines connected to the tank. This phenomenon can be of critical importance for the design of a seismic tank protection system and must be treated with care. Since the coupled structure (tank + foundation + pipeline) exerts highly nonlinear behavior, due to the complexity of the piping system, a laboratory experiment has been conducted. More precisely, a hybrid simulation (HS) that uses the metafoundation and a tank as a numerical substructure (NS) and a piping system as a physical substructure (PS) was employed. To make the results relatable to the current state of the art, additional experiments were performed with concave sliding bearings (CSBs) as an isolation system in the NS. The metafoundation offered a clear attenuation of tank stresses and, in some cases, also reduced the stresses in the piping system.

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Section: Seismic Performance Of the Coupled Tank-foundation-pipeline Systemmentioning

confidence: 99%

Design of a Metamaterial-Based Foundation for Fuel Storage Tanks and Experimental Evaluation of Its Effect on a Connected Pipeline System

Wenzel

Basone

Bursi

2020

Journal of Pressure Vessel Technology

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“…Finally, the relevant values of Sobol' indices evaluated by equation (10) are shown in Fig. 6: From Fig.…”

Section: Seismic Inputmentioning

confidence: 99%

“…The experimental approach relies on the hybrid simulation technique [10]. More precisely, the unanchored tank is simulated via a numerical substructure (NS).…”

Section: Experimental Setup and Hybrid Simulationsmentioning

confidence: 99%

“…Specifically, the hybrid model of the system under study combines numerical (NSs) and physical substructures (PSs). More precisely, following the approach of [10,11], the steel tank represents the NS and the piping network the PS. Furthermore, in order to both evaluate inelastic phenomena of the piping system and to detect and localize crack events, we employ a set of acoustic emission sensors.…”

Section: Introductionmentioning

confidence: 99%

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Seismic Vulnerability Analysis of a Coupled Tank-Piping System by Means of Hybrid Simulation and Acoustic Emission

et al. 2020

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In order to shed light on the seismic response of complex industrial plants, advanced finite element models should take into account both multicomponents and relevant coupling effects. These models are usually computationally expensive and rely on significant computational resources. Moreover, the relationships between seismic action, system response and relevant damage levels are often characterized by a high level of nonlinearity, which requires a solid background of experimental data. Vulnerability and reliability analyses both depend on the adoption of a significant number of seismic waveforms that are generally not available when seismic risk evaluation is strictly site-specific. In addition, detection of most vulnerable components, i.e., pipe bends and welding points, is an important step to prevent leakage events. In order to handle these issues, a methodology based on a stochastic seismic ground motion model, hybrid simulation and acoustic emission is presented in this paper. The seismic model is able to generate synthetic ground motions coherent with site-specific analysis. In greater detail, the system is composed of a steel slender tank, i.e., the numerical substructure, and a piping network connected through a bolted flange joint, i.e., the physical substructure. Moreover, to monitor the seismic performance of the pipeline and harness the use of sensor technology, acoustic emission sensors are placed through the pipeline. Thus, real-time acoustic emission signals of the system under study are acquired using acoustic emission sensors. Moreover, in addition to seismic events, also a severe monotonic loading is exerted on the physical substructure. As a result, deformation levels of each critical component were investigated; and the processing of acoustic emission signals provided a more in-depth view of the damage of the analysed components.

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“…However, the scope of this paper is limited to the case of PS with almost deterministic behavior. Moreover, relevant studies testify that measurement noise of standard structural testing equipment has a negligible effect on the prototype structure response evaluated via HS with modern hardware [19,20]. Therefore, M is assumed to be deterministic.…”

Section: Introducing Active Learning Into Hybrid Simulationmentioning

confidence: 99%

Training of a Classifier for Structural Component Failure based on Hybrid Simulation and Kriging

Abbiati¹,

Marelli²,

Ligeikis³

et al. 2020

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Hybrid simulation is a tool for discovering the inner workings of a tested substructure beyond the linear regime. Hybrid simulation is conducted to reproduce the response of a prototype in scaled or real time using a hybrid model that combines physical and numerical substructures interacting with each other in a feedback loop. As a result, the tested substructure interacts with a realistic assembly subjected to a credible loading scenario. The obtained low-quantity-high-value experimental data is used to conceive and calibrate computational models for nonlinear structural analysis in the current practice. Instead, this paper extends the scope of hybrid simulation to constructing a safe/failure state classifier for the tested substructure by adaptively designing a sequence of parametrized hybrid simulations. Such a classifier is intended to compute the state of any physical-substructure-like component within system-level numerical simulations. The proposed procedure is experimentally validated for a three-degrees-of-freedom hybrid model subjected to Euler buckling.

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A composite experimental dynamic substructuring method based on partitioned algorithms and localized Lagrange multipliers

Cited by 13 publications

References 34 publications

Design of a Metamaterial-Based Foundation for Fuel Storage Tanks and Experimental Evaluation of Its Effect on a Connected Pipeline System

Design of a Metamaterial-Based Foundation for Fuel Storage Tanks and Experimental Evaluation of Its Effect on a Connected Pipeline System

Seismic Vulnerability Analysis of a Coupled Tank-Piping System by Means of Hybrid Simulation and Acoustic Emission

Training of a Classifier for Structural Component Failure based on Hybrid Simulation and Kriging

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