Evidence map›Paper›PMID 38514725›Full record

ArticleScientific reports2024

Influence and compensation of connection characteristics on shaking table control performance.

Chunhua Gao, Cun Li, Zihan Yuan, Yifei Sima, Mingyang Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chunhua GaoCollege of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China. gaochunhua@xynu.edu.cn.
Cun LiCollege of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
Zihan YuanCollege of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
Yifei SimaCollege of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
Mingyang WangCollege of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.

Funding

Science and Technology Department of Henan Province No.212300410234Xinyang Normal University No. 2022KYJJ088Xinyang Normal University No. 2022KYJJ090
6 · The paper itself

Abstract

When testing earthquake simulation shaking tables, it is commonly assumed that the test load, table, and actuator are integrated, which differs significantly from the actual situation and negatively impacts the accuracy of system waveform reproduction. This paper simplifies the connection between the three as a spring-damping model for simulation modeling. The effects of different load mass, different connection intrinsic frequency, different connection damping ratios, and other factors on the control performance of the system are analyzed, and based on the results of the analysis, a method to improve the effects of the connection characteristics on the performance of the system, called flexible connection reaction force compensation algorithm, is proposed. Resonance peaks caused by flexible connections reduce the effective bandwidth. To broaden the bandwidth and enhance system stability, the paper introduces a flexible connection force compensation algorithm based on a multi-parameter control algorithm to compensate for the interaction force caused by the connection characteristics. This compensation strategy expands the effective bandwidth, eliminates resonance peaks, improves the waveform correlation coefficient (CC), and reduces the root-mean-square error (RMSE).

Indexed as

Compensation algorithmConnection characteristicsMulti-parameter controlShaking table

Identifiers

PMID38514725
PMCPMC10958025

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.