Published May 26, 2026 | Version 1.0.0
Journal article Open

PIER-VIBE : Predictive Intelligence Engine for Resonance, Vibration, and Integrity in Bridge Environments

  • 1. ROR icon Ronin Institute for Independent Scholarship 2.0
  • 2. Rite of Renaissance

Description

PIER-VIBE (Predictive Intelligence Engine for Resonance, Vibration, and Integrity in Bridge Environments) is an AI-augmented hydro-structural governance framework for long-span offshore and riverine bridge infrastructure. The system integrates fluid-structure-soil interaction modeling, computational fluid dynamics, finite element structural analysis, physics-informed neural networks (PINNs), and real-time telemetry fusion to predict and mitigate critical bridge failure mechanisms including scour-induced foundation destabilization, resonance-driven dynamic instability, and cumulative fatigue degradation.

The framework is composed of three interconnected computational modules:

SSSE — Sub-Surface Scour Engine

HSCE — Hydro-Structural Coupling Evaluator

EFGL — Elastic Fatigue Governance Lock

PIER-VIBE continuously computes the Bridge Structural Health Index (BSHI), a real-time composite safety certification metric designed to provide predictive structural integrity governance under dynamic environmental loading conditions.

The project is classified within the Systems Safety & Engineering (AI-augmented) research domain and is released under the MIT License.

DOI: 10.5281/zenodo.20390646

OSF Preregistration : 10.17605/OSF.IO/YKWEG

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PIER-VIBE_Research_Paper.pdf

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Additional details

Software

Repository URL
https://github.com/gitdeeper12/PIER-VIBE
Programming language
Python
Development Status
Active

References

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