Reconstructing Real-World Vehicle Side-Impact Accidents to Computationally Investigate Far-Side Occupant Injury Risk.

Sha Deng, Ke Peng, Jing Zhang, Danqi Wang, Fang Wang

Abstract read

In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. 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.

Sha DengSchool of Economics and Management, Hunan Open University, Changsha 410004, China.

Ke PengCollege of Mechanical and Vehicle Engineering, Changsha University of Science and Technology, Changsha 410114, China.

Jing ZhangSany Automobile Manufacturing Co., Ltd., Changsha 410100, China.

Danqi WangCollege of Mechanical and Vehicle Engineering, Changsha University of Science and Technology, Changsha 410114, China.ORCID 0000-0003-4625-2396

Fang WangCollege of Mechanical and Vehicle Engineering, Changsha University of Science and Technology, Changsha 410114, China.ORCID 0000-0002-7409-0841

Funding

Education Department of Hunan Province, China 24A0240National Natural Science Foundation of China 52372348Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province 2023CT02The Innovative Research Group Project of Hunan Province 2025JJ10006

6 · The paper itself

Abstract

In side-impact collisions, the occupant in the non-impacted far-side position faces a high risk of death and serious injury. However, current research on injury to far-side occupants remains limited. This study utilized 40 real-world side collision cases to extract dynamic boundary condition parameters of the impacted vehicle through kinematic reconstruction. These parameters were input into a simplified finite element (FE) vehicle model equipped with a human body FE model in the far-side position. Simulation calculations were performed to obtain head and chest injury parameters for the far-side occupant and assess their injury risk. Finally, the study focused on analyzing the effect of vehicle motion boundary conditions on far-side occupant's injury risk. The assessment based on the head injury criterion HIC

Indexed as

biofidelic modelingbiomimeticschest injuryfar-side occupantfinite element modelhead injuryside-impact collision accident

Identifiers

PMID41744572

DOI10.3390/biomimetics11020126

PMCPMC12938661

What OpenQuestion holds

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LicenceCC BY

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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.