The importance of structural health monitoring (SHM) in enhancing the resilience, longevity, and safety of civil infrastructure is becoming more widely acknowledged. Precast reinforced concrete (PRC) and reinforced concrete (RC) bridge girders are examples of essential assets that need sophisticated monitoring systems that can track degradation under service loads and identify early damage. This thesis explores an integrated SHM methodology that combines dynamic and static based measurements with acoustic emission (AE) techniques to determine the best sensor configuration for bridge girder monitoring. In a controlled laboratory setting, seven beams: four RC and three PRC specimens were put through a series of four-point bending tests.