Predicting Residual Flexural Strength of Corroded Prestressed Concrete Beams: Comparison of Chinese Code, Eurocode and ACI Standard

Author:

Li Hai12,Pan Zhicheng34,Yang Yiming12,Wang Xinzhong1,Tang Huang15ORCID,Ma Fanjun3,Zheng Liangfei1

Affiliation:

1. College of Civil Engineering, Hunan City University, No.158 Yinbindong Road, Yiyang 413000, China

2. Key Laboratory of Green Building and Intelligent Construction in Higher Educational Institutions of Hunan Province, Hunan City University, Yiyang 413000, China

3. Sinohydro Engineering Bureau 8 Co., Ltd., Changsha 410004, China

4. Power China Chizhou Changzhi Prefabricated Construction Co., Ltd., Chizhou 247100, China

5. Hunan Engineering Research Center of Development and Application of Ceramsite Concrete Technology, Hunan City University, Yiyang 413000, China

Abstract

In the present study, 104 sets of flexural tests on corroded prestressed concrete (CPC) beams were gathered from different publications. A flexural strength database for CPC beams was created by incorporating standardized concrete strength and the corrosion rate of prestressed steel. This database enables the analysis of the impact of different factors on the flexural capacity, such as the beam’s width and effective depth, concrete compressive strength, shear span ratio, the prestressed steel’s corrosion level, prestressing ratio (PPR), and the effective prestress. The findings show that the flexural strength of the CPC beams is notably influenced by variations in beam width, shear span ratio, and the prestressed steel’s corrosion level and prestressing ratio compared to other parameters. Furthermore, a comparison was conducted of the Chinese code, Eurocode and ACI standard for evaluating the flexural strength of CPC beams using the established database. It shows that the three design codes overestimate the flexural strength of CPC beams, and it is unsafe to predict flexural strength using these three codes without taking into account the impact of corrosion. Finally, a practical model based on the ACI standard is suggested to provide precise and reliable predictions across a diverse set of test data.

Funder

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Hunan Provincial Natural Science Foundation Project of China

Hunan Provincial Department of Education Scientific Research Youth Project

Key project

Science and Technology Planning Project of Guichi District, Chizhou City

National Undergraduate Innovation and Entrepreneurship Training Program

Anhui Province Key Research and Development Program

Scientific and Technological Project for Housing and Urban–Rural Development in Anhui Province

Publisher

MDPI AG

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