Tyrannosaurus rex Substrate-Borne Wave Detection: Biomechanical Coupling, Dual-Mode Pedal Architecture, and Environmental Data Extraction

Large terrestrial theropods faced significant metabolic transport costs and atmospheric acoustic attenuation when relying exclusively on airborne sensory modalities for long-range environmental surveillance. This paper presents a theoretical framework and biomechanical model demonstrating that Tyrannosaurus rex utilized substrate-borne seismic wave detection as a primary, stationary sensory mechanism. By adopting a motionless stance, T. rex eliminated self-generated locomotor noise, maximizing the signal-to-noise ratio of incoming surface waves. Reception was enabled by a dual-mode pedal architecture: viscoelastic metatarsal foot pads matched acoustic impedance for low-frequency rumbles (1–20 Hz), while rigid, keratinized ungual claws coupled with the substrate to transmit high-frequency transients (20–100+ Hz). Static compressive loading from minor postural shifts elevated the effective Young's modulus of claw keratin and underlying bone, optimizing impedance matching and pre-straining periosteal mechanoreceptors. Vibrational energy traversed an unbroken, solid-state skeletal column—from ungual phalanx through the limbs, pelvis, and axial skeleton—directly to a heavily ossified otic capsule. Structural waves induced differential fluid inertia within an elongated lagenar duct, converting mechanical displacements into neural action potentials without middle-ear ossicle displacement. By evaluating inter-pedal time-difference-of-arrival (TDOA across a 1.0–1.5 m stance baseline), high-frequency spectral filtering, and gait cadence irregularities, a stationary T. rex could estimate source distance, trajectory, mass, and musculoskeletal injury in surrounding fauna across multi-kilometer distances. This substrate-borne sensory horizon model establishes T. rex as a high-efficiency data-processing hub, re-framing Late Cretaceous megafaunal spatial ecology, energetics, and territorial management.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-16
DOI
https://doi.org/10.5281/zenodo.22783590
Primary Topic
Paleontology and Evolutionary Biology
Type
preprint
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preprint

Tyrannosaurus rex Substrate-Borne Wave Detection: Biomechanical Coupling, Dual-Mode Pedal Architecture, and Environmental Data Extraction

Charles Darryl Potts
Zenodo (CERN European Organization for Nuclear Research)
Paleontology and Evolutionary Biology
preprint

Tyrannosaurus rex Substrate-Borne Wave Detection: Biomechanical Coupling, Dual-Mode Pedal Architecture, and Environmental Data Extraction

Charles Darryl Potts
preprint en

Abstract

Large terrestrial theropods faced significant metabolic transport costs and atmospheric acoustic attenuation when relying exclusively on airborne sensory modalities for long-range environmental surveillance. This paper presents a theoretical framework and biomechanical model demonstrating that Tyrannosaurus rex utilized substrate-borne seismic wave detection as a primary, stationary sensory mechanism. By adopting a motionless stance, T. rex eliminated self-generated locomotor noise, maximizing the signal-to-noise ratio of incoming surface waves. Reception was enabled by a dual-mode pedal architecture: viscoelastic metatarsal foot pads matched acoustic impedance for low-frequency rumbles (1–20 Hz), while rigid, keratinized ungual claws coupled with the substrate to transmit high-frequency transients (20–100+ Hz). Static compressive loading from minor postural shifts elevated the effective Young's modulus of claw keratin and underlying bone, optimizing impedance matching and pre-straining periosteal mechanoreceptors. Vibrational energy traversed an unbroken, solid-state skeletal column—from ungual phalanx through the limbs, pelvis, and axial skeleton—directly to a heavily ossified otic capsule. Structural waves induced differential fluid inertia within an elongated lagenar duct, converting mechanical displacements into neural action potentials without middle-ear ossicle displacement. By evaluating inter-pedal time-difference-of-arrival (TDOA across a 1.0–1.5 m stance baseline), high-frequency spectral filtering, and gait cadence irregularities, a stationary T. rex could estimate source distance, trajectory, mass, and musculoskeletal injury in surrounding fauna across multi-kilometer distances. This substrate-borne sensory horizon model establishes T. rex as a high-efficiency data-processing hub, re-framing Late Cretaceous megafaunal spatial ecology, energetics, and territorial management.

Zenodo (CERN European Organization for Nuclear Research)
New Mexico State University (US)
Paleontology and Evolutionary Biology
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