Long-term strain prediction in high-rise buildings (Conference Presentation)

Abstract

The long-term behavior of concrete is driven by rheological effects and impacts the safety and serviceability of high-rise buildings. Rheological effects are difficult to predict due to their dependence on environmental conditions and loading history. Recently, data-driven prediction using long-term structural health monitoring data have shown success in prestressed bridges. In this work, calibration of rheology models using long-term monitoring data towards forecasting of long-term behavior of high-rise buildings is investigated. A calibration strategy is identified that enables improved long-term forecast. The method is evaluated on data from two residential high-rise buildings.