Preprint
Article

This version is not peer-reviewed.

A New Gravitational Model Incorporating Pressure Effects: Numerical Analysis Across Celestial Bodies

Submitted:

06 June 2025

Posted:

06 June 2025

You are already at the latest version

Abstract
This paper presents a revised gravitational field model incorporating internal pressure components—including hydrostatic, rotational, and radiative pressures—in the computation of surface gravitational acceleration. Using real data from planets, the Sun, neutron stars, and galaxies, the influence of internal pressure on gravitational acceleration is quantified and compared with classical values. Results demonstrate that the modified model explains certain observed deviations in gravitational measurements and may provide insights into dark matter effects on galactic scales.
Keywords: 
;  ;  ;  ;  ;  ;  ;  ;  ;  ;  

1. Introduction

Gravity is the dominant force shaping the structure and evolution of celestial bodies. Traditional gravitational models consider only total mass and its distribution, often neglecting internal pressures arising from complex physical conditions. However, in dense and massive bodies such as neutron stars, or interiors of stars and planets, these pressures can significantly influence the local gravitational field. This study investigates the role of internal pressure in modifying gravitational acceleration across various astrophysical scales. This approach could improve understanding of phenomena such as neutron star stability, planetary structure, and galactic dynamics influenced by dark matter.

2. Theoretical Framework and Methodology

2.1. Model Assumptions

  • Celestial bodies are approximated as uniform spheres.
  • Internal pressures considered include hydrostatic, rotational, and radiative components.
  • Magnetic fields and nonlinear dynamic phenomena are excluded from this first-order model.

2.2. Model Equations

The classical surface gravity is given by:
g = G M R 2
The pressure correction term is:
Δ g = 1 ρ R i P i
Thus, the modified gravitational acceleration is:
g model = g Δ g
where:
G = gravitational constant,
M = total mass,
R = radius,
ρ = average density,
P i = internal pressure components.

3. Numerical Calculations and Comparison

Table 1. Internal Pressures, Densities, Radii, and Gravitational Accelerations of Various Celestial Bodies
Table 1. Internal Pressures, Densities, Radii, and Gravitational Accelerations of Various Celestial Bodies
Body P i (Pa) ρ (kg/m3) R (m) Δ g (m/s2) g standard (m/s2) g model (m/s2)
Earth 1.202 × 10 9 5514 6.371 × 10 6 0.0342 9.82 9.7858
Sun 2.5 × 10 13 1408 6.957 × 10 8 25.54 274 248.46
Mars 3.505 × 10 8 3933 3.39 × 10 6 0.0263 3.71 3.6837
Jupiter 7.531 × 10 10 1326 6.991 × 10 7 0.812 24.79 23.978
Neutron Star 1.055 × 10 18 7.0 × 10 17 1.2 × 10 4 1.25 × 10 4 9.27 × 10 11 9.27 × 10 11
Galaxy Scale 1.0 × 10 11 1.0 × 10 21 5 × 10 20 2.0 × 10 10 2.67 × 10 10 6.7 × 10 11

4. Discussion and Conclusions

The pressure-inclusive gravitational model reveals notable corrections in gravitational acceleration across different celestial scales. In extremely dense objects such as neutron stars, pressure corrections are negligible, while in planets and stars they are significant. On a galactic scale, the correction magnitude is comparable to the gravitational acceleration itself, suggesting a potential connection with observed dark matter effects. This model offers a promising tool for deeper astrophysical and gravitational studies, especially for phenomena unexplained by classical Newtonian or relativistic frameworks.

5. Future Work

  • Integrating strong magnetic fields and electromagnetic radiation effects.
  • Investigating implications for planetary and galactic evolution.
  • Applying the model to multi-body simulations and observational datasets.
  • Expanding to general relativistic corrections and energy-momentum tensor formulations.

Acknowledgments

The author gratefully acknowledges the analytical and conceptual contributions of ChatGPT, which assisted with the theoretical formulation, equation verification, and numerical analysis of the model. The collaboration between human insight and AI computing power has enabled the development of this innovative gravitational framework.

References

  1. NASA Planetary Fact Sheets – https://nssdc.gsfc.nasa.gov/planetary/planetfact.html.
  2. European Space Agency (ESA), Solar System Data – https://www.esa.int/Science_Exploration/Space_Science.
  3. Carroll, B. W., & Ostlie, D. A. (2017). An Introduction to Modern Astrophysics. Cambridge University Press.
  4. Misner, C. W., Thorne, K. S., & Wheeler, J. A. (1973). Gravitation. W.H. Freeman and Company.
  5. Shapiro, S. L., & Teukolsky, S. A. (1983). Black Holes, White Dwarfs, and Neutron Stars: The Physics of Compact Objects. Wiley-VCH.
  6. Planck Collaboration (2020). Planck 2018 results. VI. Cosmological parameters. Astronomy & Astrophysics, 641, A6. [CrossRef]
  7. Peebles, P. J. E. (2020). Dark Matter and the Structure of the Universe. Nature Astronomy, 4, 725–729. [CrossRef]
  8. Binney, J., & Tremaine, S. (2008). Galactic Dynamics (2nd ed.). Princeton University Press.
  9. Open Exoplanet Catalog, Average Densities and Pressures of Celestial Bodies – https://www.openexoplanetcatalogue.com.
  10. Freedman, R. A., & Kaufmann, W. J. (2015). Universe. W.H. Freeman.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated