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Study On Chloride Penetration Of In-Situ Harbor Structures

Posted on:2009-07-25Degree:MasterType:Thesis
Country:ChinaCandidate:X J GaoFull Text:PDF
GTID:2132360242985465Subject:Structural engineering
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The durability of concrete structures has attracted extraordinary concern from the field of civil engnieering. and chloride ion erosion caused by the durability of concretestructures is the issue the focus of attention. On-site investigation is the main methods in which the study on chloride penetration of in-situ harbor structures.This paper briefly describes the durability issues of the concrete structure, introduced the engineering background and research on the status quo of chloride corrosion of coastal terminal concrete structure, and give some examples.And then rely on the project of the Hangzhou Bay Bridge (Hangzhou Bay Bridge long-term durability performance test), through the different terminals for different regions of the system of sampling in the Jiaxing Zhapu Port which is the third-party in the Multi-Environment Time Similarity (METS) , we had a large number of ourdoor experimental data , by Origin, Matlab, Excel analysis, we draw the following conclusions:With the growth of time, Zhapu port surface chloride concentration is gradually increasing, to June (summer) reached its peak and then decreased in January (winter) the smallest; The proliferation and porosity of the troposphere coupling is an important characteristic of the erosion of chloride ion concentration in the dry-wet cycling region, as long as the time long enough, with the proliferation mechanism and the mechanism of the troposphere coupling, the penetration of chloride reaches the peak value in the shallow area; Chloride ion diffusion coefficient negative correlation with the exposure time, with the exposure time of growth, the greater the concentration of chloride ion, the smaller the chloride ion diffusion coefficient; when the exposure time up to a certain extent, the chloride ion diffusion coefficient gradually moving toward stability; The BP neural network model can be used for the forecast of chloride ion diffusion coefficient, after training and simulation, the model measured the results of a smaller difference, so the model has good practical significance.This paper is supported by National Science Foundation of China (No.50538070) and Hangzhou Bay Bridge Project Management Bureau.
Keywords/Search Tags:durability, chloride ion concentration of the surface, non-proliferation of surface area, the peak, chloride ion diffusion coefficient, BP neural networks, forecas
PDF Full Text Request
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