Evidence map›Paper›PMID 40664688›Full record

ArticleScientific reports2025

Optimization of ski jumping in-run posture using computational fluid dynamics.

Wenhan Liu, Feixiang Lu, Xiang Suo, Weidi Tang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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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

4 authors.

Wenhan LiuSchool of Intelligent Sports Technologies, Shanghai University of Sport, Shanghai, 200438, China.
Feixiang LuSUS-Baidu PaddlePaddle Intelligent Sports Technology Innovation Center, Shanghai, 200438, China.
Xiang SuoSchool of Intelligent Sports Technologies, Shanghai University of Sport, Shanghai, 200438, China.
Weidi TangSchool of Intelligent Sports Technologies, Shanghai University of Sport, Shanghai, 200438, China. weidi_tang@sus.edu.cn.

Funding

National Natural Science Foundation of China Key Project 11932013
6 · The paper itself

Abstract

While aerodynamic optimization during ski jumping flight phases is well-studied, critical knowledge gaps persist regarding posture-fluid interactions in the in-run phase - particularly the dominance of drag dynamics over lift enhancement for speed maximization. This study establishes an athlete-specific 3D model to investigate posture-dependent resistance through high-resolution CFD simulations. Systematically analyzing four key posture parameters - torso attack angle (α), thigh attack angle (β), ankle joint angle (γ), and hip abduction angle (ε) - reveals α as the governing factor influencing aerodynamic resistance during acceleration. The optimized configuration ([Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]) reduces cumulative air resistance by approximately 5% compared to conventional postures, demonstrating that marginal angular adjustments in torso positioning significantly outweigh other joints' contributions to drag reduction. Contrary to flight-phase strategies emphasizing lift generation, the results establish drag minimization as the primary in-run optimization objective. These findings provide evidence-based posture guidelines for athletes while advancing a paradigm shift from empirical to physics-driven training methodologies - particularly through computational fluid dynamics with practical sports biomechanics. The work positions CFD as an indispensable tool for quantifying millimeter-scale posture adaptations in winter sports equipment-athlete system optimization.

Indexed as

HydrodynamicsPostureSkiingBiomechanical PhenomenaComputer SimulationHumansAerodynamic characteristicsComputational fluid dynamicsIn-run stagePosture optimizationSki jumping

Identifiers

PMID40664688
PMCPMC12263859

What OpenQuestion holds

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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.