Dense sensing on road bridges network: new approach to data‐informed assessment

Abstract Hazards, ageing, damaging, and traffic loads increase are some of the growing risks that bridge infrastructures in Europe face throughout their design life. Key issues of the asset management plan are the safety assessment of existing structures, the prioritization of the interventions and the optimization of the maintenance schedules. As such, to enable appropriate diagnostics and cost‐effective decisions on assessment/repairs, timely and accurate information from monitoring, inspection and testing is essential. This paper outlines the strategic role of SHM systems to identify the actual condition and future performance of the infrastructures, supporting an effective maintenance plan to meet the target reliability requirements. This contribution describes the use of dense sensing on an Italian bridges network of over 100 bridges, to account for monitoring in safety assessment, facilitating the application of proactive maintenance strategies through a deeper knowledge of the structural behaviour over time. Multiple case studies are detailed, where MEMS sensors have been installed with the purpose of monitoring the evolution of deterioration process, supporting a data‐informed structural diagnostics as well as providing evidence of the effectiveness of strengthening interventions.