@article{strauss_monitoring_2015, title = {Monitoring {Information} and {Probabilistic}-{Based} {Prediction} {Models} for the {Performance} {Assessment} of {Concrete} {Structures}}, issn = {1943-5509}, url = {http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CF.1943-5509.0000834}, abstract = {The lifecycle analysis and assessment of concrete structures requires an efficient evaluation and prediction of time-variable mechanical and chemical degradation processes. Inspection systems and novel monitoring methods are of valuable support in these important tasks, but due to their practical feasibility and the costs that they entail, they also present limitations. Therefore, information gathered with inspection methods for structural performance assessment needs to be used in the most effective manner possible, e.g., with respect to serviceability limits, bearing capacity, robustness, and redundancy of a given structure, among others. The aim of this paper is to present a framework for the prediction of time-dependent performance indicators of concrete structures prone to fatigue, with emphasis on a wind turbine foundation, including reliability. A theoretical background and selected structural performance indicators as well as associated lifecycle prediction methods—incorporating inspection and monitoring information—are presented.}, language = {English}, author = {Strauss, Alfred and Vodovic, Anja and Zambon, Ivan and Grossberger, Hirut and Bergmeister, Konrad}, year = {2015}, keywords = {Institut für Mobilitätsforschung, Publikationstyp Schriftpublikation, peer-reviewed, ⛔ No DOI found}, }