STRUCTURAL OPTIMIZATION AND KINEMATIC ANALYSIS OF LOCAL GOVERNANCE FRAMEWORKS FOR PRECISION POLICY IMPLEMENTATION

Abstract

This research explores the structural optimization and kinematic modeling of local governance frameworks conceptualized through the design logic of a CFRP-based Stewart–Gough robotic platform. The study evaluates policy precision, administrative strength, and procedural load reduction in comparison to conventional governance frameworks, drawing on the analogy of Carbon Fiber Reinforced Polymer (CFRP) for its remarkable fatigue resistance, minimal expansion under stress, and superior strength-to-weight ratio—representing lightweight yet resilient governance systems. The research methodology incorporates dynamic and static kinematic modeling of administrative processes, supported by four primary analyses: institutional tensile strength evaluation, policy fatigue resistance assessment, stability testing under variable decision loads, and Scanning Electron Microscopy (SEM)–based microstructural investigation of interdepartmental linkages. An experimental governance framework integrating digital actuators and sensing mechanisms was employed to analyze systemic deformation under diverse operational conditions and assess trajectory tracking accuracy in policy implementation. Results demonstrated a 40% reduction in procedural weight while maintaining or surpassing the functional capacity of traditional administrative systems. The SEM-inspired microstructural analysis confirmed uniform coordination across governance fibers and robust matrix adhesion among institutional nodes, ensuring high structural resilience and precision in local governance execution.