An Adaptive Elastic Support Seat-Based Magnetorheological Elastomer for Human Body Vibration Reduction.

Wei Ding, Leizhi Wang, Zhaobo Chen, Hongrui Ao, Hui Yan

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Hybrid RBF neural network-based sliding mode control for a magnetorheological elastomer isolator under variable frequency and amplitude excitations.PloS one · 2026
Article

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.

Wei DingSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-4312-7816

Leizhi WangSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0003-4787-236X

Zhaobo ChenSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.

Hongrui AoSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.

Hui YanSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.

Funding

National Key R&D Program of China 2019YFE0116200

6 · The paper itself

Abstract

This paper introduces an electromagnetic structure utilizing the controllable mechanical properties of magnetorheological elastomer (MRE) materials through magnetic flux. An adaptive elastic foundation composed of these materials is explored for vibration reduction and frequency modulation. This study investigates these effects using both a single-mass model and a coupled human-seat model. For objects supported by the adaptive elastic foundation, increasing the magnetic flux enhances the stiffness and damping, thereby significantly reducing the peak response while slightly increasing the resonance frequency. Strategies such as increasing the magnetic flux, reducing the object mass, and minimizing the system's degrees of freedom and internal damping contribute to enhancing the vibration reduction and frequency modulation in the adaptive elastic foundation. The simulation results indicate that for a seated human (weighing between 72.4 kg and 88.4 kg), the adaptive elastic foundation reduces the head peak response by approximately 15.7% and increases the resonance frequency by approximately 3.4% at a magnetic flux of 138 mT.

Indexed as

adaptive elastic foundationelectromagnetic structurefrequency modulationMREvibration reduction

Identifiers

PMID38998409

DOI10.3390/ma17133330

PMCPMC11242939

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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.