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Record W4407379393 · doi:10.1002/eqe.4328

Stability Analysis of Real‐Time Hybrid Simulation with an Inerter‐Type Experimental Substructure

2025· article· en· W4407379393 on OpenAlex
Junjie Tao, Oya Mercan, Yuanfeng Duan, Guohua Xing

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEarthquake Engineering & Structural Dynamics · 2025
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsSubstructureStability (learning theory)Structural engineeringType (biology)Computer scienceEngineeringGeology

Abstract

fetched live from OpenAlex

ABSTRACT Although integrating inerters with conventional passive vibration control systems has shown enhanced performance in various studies, experimental investigations remain limited. Real‐time hybrid simulation (RTHS) models the well‐understood portion of a structure as the numerical substructure (NS) while physically testing the structural component of interest as the experimental substructure (ES). Testing the inerter as the ES in RTHS is considered cost‐effective and less facility demanding. However, RTHS experiences time delay induced by actuator dynamics, risking instability if not managed effectively. Consequently, stability analysis is crucial for the successful implementation of RTHS. Previous studies primarily focused on RTHS stability, including a stiffness‐type ES. The RTHS stability with an inerter‐type ES, characterized by a large mass ratio relative to the NS, remains underexplored. To address this gap, this study analyzes the RTHS stability, including an inerter‐type ES, implemented through various direct integration algorithms. Augmented state‐space equations are employed to solve the roots of the discrete RTHS system considering different values of time delay. Virtual RTHSs are performed to validate the analytical investigation. The time delay is found to increase the order of the discrete RTHS system, yielding more spurious roots. Moreover, the time delay in RTHS with a stiffness‐type ES primarily increases the magnitude of principal roots, whereas in RTHS with an inerter‐type ES, it mainly amplifies the magnitude of spurious roots, potentially inducing instability. Both analytical and simulation results show that the spurious root‐induced instability can be effectively mitigated by numerical damping.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.219
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it