Gamma prediction models for long-term creep deformations of prestressed concrete bridges

Abstract

For long-span bridges as well as statically indeterminate frame structures it is essential to implement efficient and realistic prediction models for the long-term processes of concrete creep, shrinkage, and steel relaxation. In order to systematically study the main influential factors in bridge deflection measurements a probabilistic analysis can be per­formed. Due to the associated computational costs such investigations are limited. The predictions based on the highly scattered input parameters are associated with uncertainties. There is interest in alternative prediction models decou­pled from complex analytical and computationally expensive numerical models, using measured structural responses. A gamma process is an example of such an alternative method. This process is suitable for capturing evolving structural response quantities and deterioration mechanisms like crack propagation, corrosion, creep, and shrinkage, as reported in Ohadi and Micic (2011). The objective of this paper is to illustrate the use of gamma process approaches for the pre­diction of the creep and shrinkage performance of prestressed concrete bridges. The presented approaches incorporate uncertainties and make predictions more reliable with the help of structural health monitoring (SHM) data. The creep-shrinkage response of a prestressed box girder bridge serves for the calibration and evaluation of the considered gamma process approaches.

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“…In der Stufe I werden von einigen Organisationen im Infrastrukturbereich bereits erweiterte KI‐Expertensysteme, wie zum Beispiel Markovketten‐Ansätze [6] oder Gamma‐Prozesse [7], für die lineare Performancevorhersage angewandt. Dabei werden sowohl die Übertragungswahrscheinlichkeiten der Markovketten als auch die Form‐ und Skalierparameter der Gamma‐Prozesse über die gesamte Lebenszeit der Konstruktion oder des Bauteils konstant gehalten.…”

State-Oriented Maintenance Strategy for Deteriorating Segmental Lining of Tunnel

“…Generally, it is reasonable to assume that the deterioration level of tunnel structure will gradually become severe with time if no repairing activity is applied, and it can be regarded as a monotonic process. The characteristic of a gamma process is that it is strictly monotonically increasing with independent and non-negative increments having a Gamma distribution with identical scale parameters (Van Noortwijk 2009;Strauss et al 2017). Thus, we propose the Gamma process as the stochastic model for simulating the degradation process of tunnel lining.…”

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