This research paper delineates the comprehensive theoretical architecture for Saharan Archaeoacoustic Stress-Testing (S-AST), a non-destructive diagnostic methodology specifically engineered for high-precision archaeological prospection in hyper-arid environments. The S-AST framework replaces traditional invasive excavation with a multi-modal elastodynamic paradigm that utilizes the physical properties of sound propagation through stratified siliciclastic and lithic media. The methodological core relies on the mathematical quantification of the Helmholtz resonance frequency (fH) to establish structural baselines for subterranean voids, such as foggaras and burial chambers, while simultaneously utilizing the ε refractive index to isolate localized moisture gradients independent of bulk mineralogical shifts. By monitoring micro-seismic fluid dynamics, the protocol achieves infrasonic depth triangulation of fossil aquifers, providing a theoretical reconstruction of the paleohydrological networks that dictated ancient settlement patterns. The protocol further integrates advanced material science diagnostics, utilizing the Kaiser Effect to measure historical stress memory in Roman-Libyan masonry and the Interfacial Delamination Signal bifurcation to detect microscopic delamination in multi-component lithic structures. S-AST quantifies industrial efficiency through the Pyrotechnological Efficiency Index (PEI), which derives kiln firing temperatures from the internal damping ratios of ceramic matrices, and utilizes the marginal residual mechanical strain Excitation Pulse to distinguish between utilitarian and ceremonial Neolithic lithics via edge-stress coefficient (Ces) derivations. Furthermore, the system employs the Air-to-Soil Overburden Ratio (ASOR) to transform subterranean voids into passive load cells, allowing for the real-time acoustic tracking of dune migration and the prediction of temporal exposure thresholds for buried architecture. Finally, the research establishes the Stratigraphic Density Pulse (SDP) for non-invasive volumetric stratigraphy, identifying anthropogenic occupation levels through longitudinal wave velocity (Vp) acceleration and specular reflection mapping. The synthesis of these disparate acoustic variables, including localized signal nulls in carbonized hearth layers and temporal transit-time delays in storage silos, culminates in the generation of a three-dimensional acoustic hologram. This volumetric model provides a continuous diachronic matrix of the site’s 2,000-year history, mapping structural integrity, material provenance, and socio-economic evolution entirely through the verified propagation mechanics of the acoustic matrix.
Damian Noah Dimitrov (Sat,) studied this question.