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Related Experiment Video

Updated: Jul 7, 2026

Impacts of Free-falling Spheres on a Deep Liquid Pool with Altered Fluid and Impactor Surface Conditions
08:49

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Published on: February 17, 2019

On pool spreading around tanks: geometrical considerations.

Sara Brambilla1, Davide Manca

  • 1Politecnico di Milano, Dipartimento di Chimica, Materiali e Ingegneria Chimica Giulio Natta, Piazza Leonardo da Vinci 32, Milan, Italy.

Journal of Hazardous Materials
|March 4, 2008
PubMed
Summary

This study presents a new method to measure liquid pool spread distance, even when symmetry is not assumed. The approach uses data pre-processing, simulation, and post-processing for accurate results.

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Area of Science:

  • Fluid dynamics
  • Chemical engineering
  • Safety engineering

Background:

  • Traditional models often assume liquid pool spreading is axisymmetric.
  • This assumption limits accuracy when the spreading is irregular.
  • Accurate spread distance is crucial for risk assessment and containment.

Purpose of the Study:

  • To develop a robust methodology for evaluating liquid pool spread distance beyond the axisymmetric assumption.
  • To provide geometrical correlations for data pre- and post-processing.
  • To validate the proposed approach with experimental data.

Main Methods:

  • A three-step methodology: input data pre-processing (bund radius, radial velocity), simulation using an axisymmetric model, and results post-processing.
  • Development of geometrical correlations for data handling.
  • Numerical examples and validation against experimental data.

Main Results:

  • The proposed method effectively evaluates spread distance without the axisymmetric constraint.
  • Pre- and post-processed data show significant differences compared to purely axisymmetric assumptions.
  • The modeling approach is validated by experimental data from Cronin and Evans (2002).

Conclusions:

  • The developed methodology offers a more accurate assessment of liquid pool spread distance in non-axisymmetric scenarios.
  • Geometrical correlations enhance the practical application of the model.
  • This approach improves the reliability of safety assessments involving liquid spills.