2007 4.2 Governance Model The governance layer constitutes the institutional foundation of the SIM framework. Its purpose is to ensure that structural risk is systematically managed within organizational decision-making processes rather than addressed only through isolated technical interventions. This approach is consistent with recognized enterprise risk management principles that promote structured identification, analysis, evaluation, and treatment of uncertainty across organizational activities (ISO 31000, 2018). Effective governance requires clearly defined roles and accountability across engineering, maintenance, operations, and project teams. Without formal ownership, structural risk may remain fragmented, limiting traceability and weakening control mechanisms. The SIM framework therefore establishes defined responsibilities, reporting structures, and escalation pathways for structural risk oversight. Integration with change management processes is a critical component. Operational intensification, equipment upgrades, or process modifications may alter structural demand and accelerate degradation. The governance model incorporates formal structural review mechanisms to assess load implications and residual capacity impacts prior to implementation. Performance visibility is strengthened through risk-informed indicators, including structural health metrics and compliance with inspection programs. In addition, structured documentation and lifecycle traceability ensure that condition records, interventions, and technical evaluations support informed decisions regarding rehabilitation, life extension, or end-of-life strategies. By embedding structural oversight within institutional processes, the governance layer transforms integrity management into a proactive and accountable discipline aligned with sustainable infrastructure objectives. 4.3 Technical Integrity and Risk-Based Methodology The technical integrity layer provides the engineering foundation of the SIM framework. Its objective is to identify degradation mechanisms, assess structural performance, and prioritize interventions based on risk rather than solely on defect detection. The methodology begins with the identification of dominant failure mechanisms for each asset class, considering operational loads, environmental exposure, and historical performance. Typical mechanisms include corrosion, fatigue, cracking in reinforced concrete, settlement, and dynamic amplification effects. This analysis enables focused inspection planning and improved vulnerability assessment. Assets are then classified through a risk-based prioritization process that integrates likelihood and consequence dimensions, including safety, production continuity, environmental impact, and capital exposure. This approach is consistent with established risk-based inspection methodologies that prioritize assets according to probability of failure and consequence severity (API 580, 2016). By applying structured risk evaluation criteria, the framework ensures that resources are allocated to infrastructure elements with the highest contribution to overall risk. Where degradation is identified, structural evaluations support residual capacity estimation and remaining useful life assessment. Service life evaluation within the framework is conceptually aligned with established service life planning methodologies for constructed assets (ISO 15686-1, 2011) and supported by durability and service life prediction guidance commonly applied in structural engineering practice (ACI 365.1R-17, 2017). These analyses inform decisions regarding rehabilitation, reinforcement, operational adjustments, or continued service, reducing uncertainty in life extension strategies.
RkJQdWJsaXNoZXIy MTM0Mzk2