A theoretical framework for radial mass–energy density variations in geophysical systems
Branko M Novakovic
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Croatia.
https://orcid.org/0000-0003-0735-770X
Josip Kasac
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Croatia.
https://orcid.org/0000-0002-6071-0368
DOI: https://doi.org/10.20448/iras.v12i1.8703
Keywords: Artificial intelligence, Geophysical systems, Early prediction, Earthquakes, Measurement by robots, Radial mass density theory.
Abstract
This paper introduces a theoretical framework for describing energy-density variations within the Earth using the Relativistic Radial Density Theory (RRDT). The proposed approach models the Earth as a radially structured system in which spatial variations of mass–energy density are linked to underlying geophysical processes. Starting from fundamental physical quantities, including Planck-scale parameters, a set of analytical relations is derived to describe the distribution of radial mass density and its potential temporal evolution. The framework further explores how localized perturbations in radial density fields may be associated with changes in the dynamical state of the lithosphere. In this context, a conceptual measurement scheme is outlined, combining conventional sensing (e.g., seismometers) with distributed or mobile platforms for multi-scale data acquisition. The presented model is intended as a hypothesis-generating theoretical construct rather than a validated predictive tool. Its purpose is to provide a formal basis for future investigations of energy-density anomalies in geophysical systems and to suggest directions for experimental validation and interdisciplinary research. Potential implications for seismic hazard assessment are discussed at a conceptual level.