Net force analysis during streamlined glide, dolphin kick, and front crawl at high velocities in competitive swimming : implications for optimal propulsion timing

This study aimed to identify the optimal transition velocities between streamlined glide (SL), underwater dolphin kick (DK), and front crawl (FC) during high-speed swimming. Ten elite female swimmers performed front crawl and dolphin kick trials in a long-course pool, and repeated the same motions under tethered conditions in a water flume to measure net force. Power-law fitting was applied to model net force as a function of flow velocity across the three movement conditions. The results revealed distinct patterns in the scaling coefficients <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mfenced><mml:mi>A</mml:mi></mml:mfenced></mml:math> and exponents <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mfenced><mml:mi>n</mml:mi></mml:mfenced></mml:math>, following the order: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mi>SL</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>></mml:mo><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mi>DK</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>></mml:mo><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mi>FC</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mrow><mml:mi>SL</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo><</mml:mo><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mrow><mml:mi>DK</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo><</mml:mo><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mrow><mml:mi>FC</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>. The fitted net force curves intersected at two velocities, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mrow><mml:mi>SL</mml:mi><mml:mo>-</mml:mo><mml:mi>DK</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mrow><mml:mi>DK</mml:mi><mml:mo>-</mml:mo><mml:mi>FC</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>, and for most swimmers, these intersection velocities exceeded their respective constant velocities, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>DK</mml:mi><mml:mo>_</mml:mo><mml:mrow><mml:mrow><mml:mi>const</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>FC</mml:mi><mml:mo>_</mml:mo><mml:mrow><mml:mrow><mml:mi>const</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:msub></mml:mrow></mml:math>. These intersection points indicate the optimal timing for initiating propulsive actions to minimise deceleration during the post-start and post-turn phases. A conceptual model was proposed to explain the phase transition strategy based on velocity-dependent net force profiles. Although individual variation was observed, most swimmers exhibited similar trends, supporting the applicability of the model. These findings provide a fluid mechanical perspective for optimising underwater strategies and may contribute to enhanced start and turn performance in competitive swimming.

Authors

Institutions

Publication Details

Journal
Sports Biomechanics
Published
2026-02-23
DOI
https://doi.org/10.1080/14763141.2026.2627415
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Net force analysis during streamlined glide, dolphin kick, and front crawl at high velocities in competitive swimming : implications for optimal propulsion timing

Yasuo Sengoku, Takaaki Tsunokawa, Daiki Koga, Tsuyoshi Takeda et al.
Sports Biomechanics
Sports Performance and Training
article

Net force analysis during streamlined glide, dolphin kick, and front crawl at high velocities in competitive swimming : implications for optimal propulsion timing

Yasuo Sengoku, Takaaki Tsunokawa, Daiki Koga, Tsuyoshi Takeda, Hideki Takagi
article en

Abstract

This study aimed to identify the optimal transition velocities between streamlined glide (SL), underwater dolphin kick (DK), and front crawl (FC) during high-speed swimming. Ten elite female swimmers performed front crawl and dolphin kick trials in a long-course pool, and repeated the same motions under tethered conditions in a water flume to measure net force. Power-law fitting was applied to model net force as a function of flow velocity across the three movement conditions. The results revealed distinct patterns in the scaling coefficients <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mfenced><mml:mi>A</mml:mi></mml:mfenced></mml:math> and exponents <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mfenced><mml:mi>n</mml:mi></mml:mfenced></mml:math>, following the order: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mi>SL</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>></mml:mo><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mi>DK</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>></mml:mo><mml:mrow><mml:msub><mml:mi>A</mml:mi><mml:mrow><mml:mi>FC</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mrow><mml:mi>SL</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo><</mml:mo><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mrow><mml:mi>DK</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo><</mml:mo><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mrow><mml:mi>FC</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>. The fitted net force curves intersected at two velocities, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mrow><mml:mi>SL</mml:mi><mml:mo>-</mml:mo><mml:mi>DK</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mrow><mml:mi>DK</mml:mi><mml:mo>-</mml:mo><mml:mi>FC</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>, and for most swimmers, these intersection velocities exceeded their respective constant velocities, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>DK</mml:mi><mml:mo>_</mml:mo><mml:mrow><mml:mrow><mml:mi>const</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:msub></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>FC</mml:mi><mml:mo>_</mml:mo><mml:mrow><mml:mrow><mml:mi>const</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:msub></mml:mrow></mml:math>. These intersection points indicate the optimal timing for initiating propulsive actions to minimise deceleration during the post-start and post-turn phases. A conceptual model was proposed to explain the phase transition strategy based on velocity-dependent net force profiles. Although individual variation was observed, most swimmers exhibited similar trends, supporting the applicability of the model. These findings provide a fluid mechanical perspective for optimising underwater strategies and may contribute to enhanced start and turn performance in competitive swimming.

Sports Biomechanics
University of Tsukuba (JP), Juntendo University Hospital (JP)
Life below water
Openalex Percentile: Top 48%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.