## 6 Conclusions  
In this study, the structural behavior and performance of the Cho'ponota L1 Bridge were evaluated through static and dynamic vehicle load tests and non-destructive OMA measurements. The primary goal was to investigate the observed deflection issue in span S2 after the completion of construction and assess the compliance of the bridge design and construction with project specifications. The study also introduced a test-assisted digital twin framework as an effective methodology for evaluating existing bridge infrastructure without the need for continuous monitoring systems. * The initial finite-element model of the bridge was calibrated using the dynamic characteristics (frequencies and mode shapes) obtained from OMA. Differences between the experimental and numerical results, initially as high as 13.22%, were reduced to below 5% through iterative updates to the concrete material properties. This model refinement validated the accuracy of the numerical representation and established a reliable digital twin capable of simulating the actual behavior of the structure. * Static load tests were performed using 30-ton and 50-ton vehicles under 28 different loading conditions on spans S1, S2, and S3. The displacement values recordedvia -the total station were compared to the results of the updated finite-element model. The high degree of agreement between measured and simulated values confirmed the model's validity. Furthermore, the updated digital twin predicted a displacement of 41.8 mm under the design 100-ton load case, well within the 56.25 mm limit, demonstrating that the bridge operates safely under service loads. * Dynamic vehicle load tests were conducted across 24 different scenarios using obstacle-induced excitation and two vehicle speeds (20 km/h and 30 km/h). The Dynamic Amplification Factor calculated from accelerometer data complied with the AASHTO LRFD 2017 allowable limit of 33% at 95.6% of the measurement points, indicating that the bridge exhibits stable dynamic behavior under operational loads. * The linearity of structural response was verified through proportional displacement increases between 30-ton and 50-ton load cases, indicating that the bridge behaves linearly under normal service conditions. Post-test visual inspections revealed no signs of cracking or damage, confirming the structural integrity of the bridge during and after loading. * In addition to the structural findings, the digital twin constructed in this study offers a validated and test-driven numerical model that can be reused for future decision-making processes. Although it does not operate in real time, the digital twin integrates high-quality field data into a calibrated simulation environment that reflects the actual performance of the bridge. It enables engineers to conduct scenario analyses, predict the impact of different load cases, and plan rehabilitation or strengthening strategies more effectively. * The test-assisted digital twin approach implemented here bridges the gap between conventional finite-element model updating and real-time monitoring-based digital twin systems. It offers a scalable and economical solution for infrastructure assessment, particularly in contexts where continuous monitoring is not feasible due to budgetary or logistical constraints. * Unlike predictive digital twin frameworks requiring continuous monitoring and adaptive AI-based modeling throughout the structure's service life, the presented test-assisted digital twin approach relies on carefully designed field tests combined with finite-element model updating to achieve high model fidelity. This pragmatic strategy enables infrastructure owners to obtain reliable stiffness assessments and digital twin models of existing bridges even without permanent sensing infrastructure, thus making digital twin technologies more accessible and applicable in a broader range of practical scenarios. In conclusion, the Cho'ponota L1 Bridge has been shown to be structurally sound and performs within safe limits under both static and dynamic loads.