Durability Life Prediction of Reinforced Concrete Structure Corroded by Chloride Based on the Gamma Process

AbstractIn this paper, a new method for durability life prediction of reinforced concrete structures in a chlorine-eroded environment is presented based on the Gamma process. The Gamma process model is established based on the simulation data of chloride ion concentration on the surface of reinforce...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ASCE-ASME journal of risk and uncertainty in engineering systems. Part A, Civil Engineering Civil Engineering, 2021-12, Vol.7 (4), Article 04021061
Hauptverfasser: Zhang, Zhenhao, Niu, Qinglei, Liu, Xin, Zhang, Yi, Zhao, Taisen, Liu, Minhan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:AbstractIn this paper, a new method for durability life prediction of reinforced concrete structures in a chlorine-eroded environment is presented based on the Gamma process. The Gamma process model is established based on the simulation data of chloride ion concentration on the surface of reinforced concrete structures, and the life of reinforced concrete structures is predicted. First, according to the chloride diffusion theory, through using the finite difference chloride diffusion model proposed in this paper under the action of multiple factors, a group of reinforced concrete reinforcement surface chloride concentration data are simulated using MATLAB. Similarly, the durability life data of reinforced concrete structures are simulated using the Monte Carlo method. Furthermore, a Gamma process model is developed based on the simulation data, and the life of a reinforced concrete structure is predicted based on the Gamma process. Finally, the correctness of the proposed method is verified through comparing the curve diagram of probability density function of the durability life of the Gamma process and the frequency histogram of the durability life obtained by the Monte Carlo simulation.
ISSN:2376-7642
2376-7642
DOI:10.1061/AJRUA6.0001181