Probabilistic Evaluation of Service Life for Reinforced Concrete Structures

Q4 Engineering
S. Verma, S. S. Bhadauria, S. Akhtar
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引用次数: 18

Abstract

Degradation of performance and deterioration of different components of reinforced concrete (RC) structures increase with the age of structure. This deterioration of reinforced component depends on several parameters. However, modeling service life of RC structure by considering all the parameters is a difficult job, as most of the parameters are uncertain in nature. Probabilistic models account well for the uncertainties in the parameters responsible for deterioration of RC structures. This paper presents a review of several recent service life models developed using probability based concepts.
钢筋混凝土结构使用寿命的概率评估
钢筋混凝土结构各构件的性能劣化和劣化程度随着结构使用年限的增加而增加。增强构件的这种劣化取决于几个参数。然而,考虑所有参数的RC结构使用寿命建模是一项困难的工作,因为大多数参数具有不确定性。概率模型很好地解释了导致RC结构劣化的参数的不确定性。本文综述了几种基于概率概念的使用寿命模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
工程设计学报
工程设计学报 Engineering-Engineering (miscellaneous)
CiteScore
0.60
自引率
0.00%
发文量
2447
审稿时长
14 weeks
期刊介绍: Chinese Journal of Engineering Design is a reputable journal published by Zhejiang University Press Co., Ltd. It was founded in December, 1994 as the first internationally cooperative journal in the area of engineering design research. Administrated by the Ministry of Education of China, it is sponsored by both Zhejiang University and Chinese Society of Mechanical Engineering. Zhejiang University Press Co., Ltd. is fully responsible for its bimonthly domestic and oversea publication. Its page is in A4 size. This journal is devoted to reporting most up-to-date achievements of engineering design researches and therefore, to promote the communications of academic researches and their applications to industry. Achievments of great creativity and practicablity are extraordinarily desirable. Aiming at supplying designers, developers and researchers of diversified technical artifacts with valuable references, its content covers all aspects of design theory and methodology, as well as its enabling environment, for instance, creative design, concurrent design, conceptual design, intelligent design, web-based design, reverse engineering design, industrial design, design optimization, tribology, design by biological analogy, virtual reality in design, structural analysis and design, design knowledge representation, design knowledge management, design decision-making systems, etc.
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