The Research on Time-Dependent Reliability Analysis for RC Structures Based on the Theory of Stochastic Processes

Cheng Yu Xia; Qing You Liu; Li Qin Qian

doi:10.4028/www.scientific.net/AMR.243-249.5650

Paper Titles

Non-Probabilistic Slope Stability Analysis
p.5627

Probability Model of Corrosion Initiation Time of Steel in Concrete Structure in Chloride Environment
p.5632

Fuzzy AHP Comprehensive Approach-Based Damage Evaluation of Reinforced Concrete Frame Structure
p.5637

System Reliability Analysis of Deep Sliding Stability of Gravity Dams
p.5641

The Research on Time-Dependent Reliability Analysis for RC Structures Based on the Theory of Stochastic Processes
p.5650

Test Analysis of Measuring Working Strains in Concrete Structures by Loophole-Drilling Strain-Gage Method
p.5656

An Analysis of the Structural Reliability for Earth-Dwelling Caves in Response Surface Method
p.5662

Reliability Analysis of Pile Vertical Bearing Capacity
p.5669

Approximate Sensitivity Analysis of Structure System Based on Failure Probability under Epistemic and Aleatory Uncertainties
p.5674

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 243-249The Research on Time-Dependent Reliability...

The Research on Time-Dependent Reliability Analysis for RC Structures Based on the Theory of Stochastic Processes

Abstract:

This paper proposes a new calculating method for the reliability analysis of the time-varying structure，and applies the calculating method to optimize the design for the concrete structure . The RC compression member was taken as an example in the specific analysis in by the mean of resistance and structural reliability with time t. The results show that, this mode has a strong ability of analyzing adequately all kinds of random variant in procedure of structure failures.

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Periodical:

Advanced Materials Research (Volumes 243-249)

Pages:

5650-5655

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.243-249.5650

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Online since:

May 2011

Authors:

Cheng Yu Xia, Qing You Liu, Li Qin Qian

Keywords:

Failure Probability, Resistance, Stochastic Process

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