ABSTRACT
Bridge management plays an important role to ensure the sustainability of bridge infrastructure. Life cycle analysis [LCCA] of such ageing bridge structures has to be based on dynamic, robust, and real-time information. The performance of the ageing bridge structure under live loading needs to be monitored. Performance data will need to be used for triggering interventions. GABM enables deterioration model based on dynamic, real-time monitoring data under live load conditions. Monitoring is periodic and for short time durations. Monitoring results in time series data revealing the possible decrements in the performance of the bridge structure. Decrements in performance are linked to increments in distress occurring in the bridge. Deterioration models based on such evaluated increments in distress results in more realistic prediction about the future behavior of the bridge. Sustainability yields maximize the Economic, Social, and Environment benefits.
