Identification and control of prestress loss of concrete members

Research Article
Open access

Identification and control of prestress loss of concrete members

Zhongyuan Chang 1*
  • 1 Southeast University    
  • *corresponding author 213201463@seu.edu.cn
Published on 7 November 2023 | https://doi.org/10.54254/2755-2721/25/20230748
ACE Vol.25
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-071-4
ISBN (Online): 978-1-83558-072-1

Abstract

Prestressing technology is widely used in buildings, Bridges and other infrastructures, but the problem of prestress loss has been a hinder for the use and maintenance of these facilities. so how to find the existence of prestress loss in time and accurately measure the existing effective prestress is a hot topic. This paper focuses on the development of prestress loss identification methods. They can be classified according to the technical route of direct measurement and indirect calculation. A large number of studies have shown that prestress loss often occurs in the construction stage of the structure. In order to better avoid the problems that may occur during this period, intelligent tensioning and grouting technology has been proposed and is constantly developing, serving various projects. By summarizing the advantages and disadvantages of existing studies, analysis of the means of prestress loss limitation can be formed, looking forward to peek the future development trend of intelligent control methods.

Keywords:

prestress loss, effective prestress identification, intelligent control

Chang,Z. (2023). Identification and control of prestress loss of concrete members. Applied and Computational Engineering,25,124-132.
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References

[1]. Wang F 2018 Analysis and Discussion on Advantages of Long-span Prestressed Beams J. Value Eng. 37(2) 102-103.

[2]. Wang F 2022 Advantages Analysis of Prestressed Flat Structure in Civil Multi-high-rise Building J. Construction Materials & Decoration 18(1) 71-72.

[3]. Shi C 2021 Current Situation and Development Trend of Road and Bridge Construction Technology in China J. Transport Business China 2021(07) 95-96.

[4]. Xu G H 2012 Analysis of the Causes of Prestressing Loss and Measures to Reduce the Loss J. Concrete 2012(9) 134-135.

[5]. Sinha S K, Schokker A J and Iyer S R 2003 Non-contact Ultrasonic Imaging of Post-tensioned Bridges to Investigate Corrosion and Void Status C. Proc. IEEE 2003 New York IEEE 2003 487-492.

[6]. Carino N J 2001 The Impact-echo Method: An Overview C. Proc Structures Congress 2001 Reston: ASCE 2001 1-18.

[7]. He S H, Zhao X M and Ma J et al. 2017 Review of Highway Bridge Inspection and Evaluation Techniques J. China Journal of Highway and Transport 30(11) 63-80.

[8]. Jiao M D and Song Y 2021 Application of inverse method in measuring effective prestress under anchor of continuous beam bridge J. Low Temperature Architecture Technology 43(4) 78-81.

[9]. Huang G Q 2020 Test analysis of stress release method in evaluating prestress of continuous rigid frame J. Communi. Sci.. Tech. Heilongjiang 43(10) 64-66.

[10]. Li R G, Yang G L and Zhang Y T 2012 RBF network identification of natural vibration frequency of unbonded prestressed concrete girder Bridges J. Bridge Construction 42(2) 28-33.

[11]. Su J, Yang Z G and Yi N G et al. 2013 Prestress identification of simply supported beams based on natural vibration frequency and neural network method J. Highway and Transportation Research and Development 30(10) 39-43.

[12]. Chen Z, Tong Y, Chen L, Li X K and Zhao S B 2021 Existing prestress recognition of prestressed concrete simple supported beams based on least square method J. North China University of Water Resources and Electric Power (Natural Science Edition) 42(05) 34-37.

[13]. Li Q F, Xin B B and Li K 2011 Recognition of effective prestress of prestressed concrete beams based on SVM J. Zhengzhou University (Engineering Science) 32(1) 18-21.

[14]. Liu Y H, He T J and Wang L M et al. 2020 Analysis of natural vibration characteristics and parameters of long-span space tensioning truss structures J. Sichuan Architecture 40(2) 185-189.

[15]. Liu Y H, Zhang Y Y, Liu J X, Ren P and Zhuo B 2019 Prestress loss identification method of truss structures based on influence matrix J. Journal of Transportation 54(05) 1030-37.

[16]. Jia S, Akiyama M, Han B and Frangopol D M 2023 Probabilistic structural identification and condition assessment of prestressed concrete bridges based on Bayesian inference using deflection measurements J. Struct. Infrast. Eng.1-17.

[17]. Wang N B, Wang C, Shen W and Huang T L 2023 Prestress identification method based on actual influence line information of bridge J. Vibration Engineering 1-10.

[18]. Lu Q C 2022 Discussion on intelligent tension and effective prestress detection technology of bridge J. Jiangxi Building Materials 284(09) 73-75.

[19]. Jiang G H, Liu L P and Zhou D 2021 Prestress loss identification of long-span prestressed concrete continuous beam Bridges J. Highway 66(09) 226-231.

[20]. Jiang Q M, Wang Z Z, Wang D, etc. 2020 Force analysis of welded anchor plate and concrete under anchor J. Journal of Ningbo University of Technology 32(02) 32(02).

[21]. Ying Y Z, Wang C X and Zhu X J 2017 Development of intelligent prestressed tensioning equipment based on servo pump valve co-control technology J. Hydromechatronics Engineering 45(14) 122-124.

[22]. Li Y 2022 Intelligent prestressed tension and grouting construction quality control of highway Bridges J. Shandong Jiaotong Keji 192(05) 34-38.

[23]. Guo F 2023 Research on intelligent grouting technology of ballastless track prestressed concrete continuous beam J. Construction and budget 323(03) 61-63.

[24]. Zhou J 2018 Principle and construction technology of intelligent prestressed tensioning grouting system for bridge J. Shanxi Architecture 44(06) 190-192.

[25]. Zhang Y D, Li P F and Li Z Q et al. 2022 Application of embedded fiber self-sensing steel strand in assembly of prefabricated pipe gallery J. Modern Tunnelling Technology 59(6) 170-176.


Cite this article

Chang,Z. (2023). Identification and control of prestress loss of concrete members. Applied and Computational Engineering,25,124-132.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Functional Materials and Civil Engineering

ISBN:978-1-83558-071-4(Print) / 978-1-83558-072-1(Online)
Editor:Bhupesh Kumar
Conference website: https://www.conffmce.org/
Conference date: 26 August 2023
Series: Applied and Computational Engineering
Volume number: Vol.25
ISSN:2755-2721(Print) / 2755-273X(Online)

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References

[1]. Wang F 2018 Analysis and Discussion on Advantages of Long-span Prestressed Beams J. Value Eng. 37(2) 102-103.

[2]. Wang F 2022 Advantages Analysis of Prestressed Flat Structure in Civil Multi-high-rise Building J. Construction Materials & Decoration 18(1) 71-72.

[3]. Shi C 2021 Current Situation and Development Trend of Road and Bridge Construction Technology in China J. Transport Business China 2021(07) 95-96.

[4]. Xu G H 2012 Analysis of the Causes of Prestressing Loss and Measures to Reduce the Loss J. Concrete 2012(9) 134-135.

[5]. Sinha S K, Schokker A J and Iyer S R 2003 Non-contact Ultrasonic Imaging of Post-tensioned Bridges to Investigate Corrosion and Void Status C. Proc. IEEE 2003 New York IEEE 2003 487-492.

[6]. Carino N J 2001 The Impact-echo Method: An Overview C. Proc Structures Congress 2001 Reston: ASCE 2001 1-18.

[7]. He S H, Zhao X M and Ma J et al. 2017 Review of Highway Bridge Inspection and Evaluation Techniques J. China Journal of Highway and Transport 30(11) 63-80.

[8]. Jiao M D and Song Y 2021 Application of inverse method in measuring effective prestress under anchor of continuous beam bridge J. Low Temperature Architecture Technology 43(4) 78-81.

[9]. Huang G Q 2020 Test analysis of stress release method in evaluating prestress of continuous rigid frame J. Communi. Sci.. Tech. Heilongjiang 43(10) 64-66.

[10]. Li R G, Yang G L and Zhang Y T 2012 RBF network identification of natural vibration frequency of unbonded prestressed concrete girder Bridges J. Bridge Construction 42(2) 28-33.

[11]. Su J, Yang Z G and Yi N G et al. 2013 Prestress identification of simply supported beams based on natural vibration frequency and neural network method J. Highway and Transportation Research and Development 30(10) 39-43.

[12]. Chen Z, Tong Y, Chen L, Li X K and Zhao S B 2021 Existing prestress recognition of prestressed concrete simple supported beams based on least square method J. North China University of Water Resources and Electric Power (Natural Science Edition) 42(05) 34-37.

[13]. Li Q F, Xin B B and Li K 2011 Recognition of effective prestress of prestressed concrete beams based on SVM J. Zhengzhou University (Engineering Science) 32(1) 18-21.

[14]. Liu Y H, He T J and Wang L M et al. 2020 Analysis of natural vibration characteristics and parameters of long-span space tensioning truss structures J. Sichuan Architecture 40(2) 185-189.

[15]. Liu Y H, Zhang Y Y, Liu J X, Ren P and Zhuo B 2019 Prestress loss identification method of truss structures based on influence matrix J. Journal of Transportation 54(05) 1030-37.

[16]. Jia S, Akiyama M, Han B and Frangopol D M 2023 Probabilistic structural identification and condition assessment of prestressed concrete bridges based on Bayesian inference using deflection measurements J. Struct. Infrast. Eng.1-17.

[17]. Wang N B, Wang C, Shen W and Huang T L 2023 Prestress identification method based on actual influence line information of bridge J. Vibration Engineering 1-10.

[18]. Lu Q C 2022 Discussion on intelligent tension and effective prestress detection technology of bridge J. Jiangxi Building Materials 284(09) 73-75.

[19]. Jiang G H, Liu L P and Zhou D 2021 Prestress loss identification of long-span prestressed concrete continuous beam Bridges J. Highway 66(09) 226-231.

[20]. Jiang Q M, Wang Z Z, Wang D, etc. 2020 Force analysis of welded anchor plate and concrete under anchor J. Journal of Ningbo University of Technology 32(02) 32(02).

[21]. Ying Y Z, Wang C X and Zhu X J 2017 Development of intelligent prestressed tensioning equipment based on servo pump valve co-control technology J. Hydromechatronics Engineering 45(14) 122-124.

[22]. Li Y 2022 Intelligent prestressed tension and grouting construction quality control of highway Bridges J. Shandong Jiaotong Keji 192(05) 34-38.

[23]. Guo F 2023 Research on intelligent grouting technology of ballastless track prestressed concrete continuous beam J. Construction and budget 323(03) 61-63.

[24]. Zhou J 2018 Principle and construction technology of intelligent prestressed tensioning grouting system for bridge J. Shanxi Architecture 44(06) 190-192.

[25]. Zhang Y D, Li P F and Li Z Q et al. 2022 Application of embedded fiber self-sensing steel strand in assembly of prefabricated pipe gallery J. Modern Tunnelling Technology 59(6) 170-176.