Research Progress and Prospect of Performance Evaluation Techniques for Prestressed Concrete Structures

XU Qing; XU Xiaoda; ZENG Bin; LI Jiawei

doi:10.3724/j.gyjzG24091907

Volume 54 Issue 10

Oct. 2024

Turn off MathJax

Article Contents

Article Navigation > INDUSTRIAL CONSTRUCTION > 2024 > 54(10): 1-8

XU Qing, XU Xiaoda, ZENG Bin, LI Jiawei. Research Progress and Prospect of Performance Evaluation Techniques for Prestressed Concrete Structures[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(10): 1-8. doi: 10.3724/j.gyjzG24091907

Citation:

XU Qing, XU Xiaoda, ZENG Bin, LI Jiawei. Research Progress and Prospect of Performance Evaluation Techniques for Prestressed Concrete Structures[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(10): 1-8. doi: 10.3724/j.gyjzG24091907

Citation:

PDF( 3892 KB)

Research Progress and Prospect of Performance Evaluation Techniques for Prestressed Concrete Structures

doi: 10.3724/j.gyjzG24091907

1. Central Research Institute of Building and Construction Co., Ltd., MCC Group, Beijing 100088, China;
2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
3. Department of Urban Construction, Beijing University of Technology, Beijing 100124, China

Received Date: 2024-09-19
Available Online: 2024-11-06

Abstract

Abstract

Prestressed concrete structure has undergone several decades of digestion and absorption, and re-innovation since its introduction to China, which has become one of important structural forms to achieve further enhancement of structural performances and meet diverse design demands. Prestressed concrete structure has been widely applied and a large number of prestressed concrete buildings and structures have been constructed up to now.The key techniques and development status in the field of the performance evaluation on prestressed concrete structures from the aspects of development history, performance evaluation needs, prestress detection and monitoring techniques, and performance evaluation methods were expounded. The future development trends of prestressed concrete structure from the three aspects of theory, techniques and application were envisaged. The future development directions involving uncertainty evaluation theory, material-structure-integrated evaluation techniques, and intelligent service performance evaluation methods were focused. It was expected to provide references to research and practice in the field of prestressed concrete structure.
- prestressed concrete structure,
- detection technique,
- monitoring technique,
- performance evaluation method,
- intelligent evaluation

FullText(HTML)

References(54)

References

[1]	李国平.预应力混凝土结构发展史[J].建筑, 2008(21):1.
[2]	尤瑞林,范佳,宁迎智.我国铁路有砟轨道预应力混凝土轨枕的研究与发展综述[J].铁道标准设计, 2020, 64(7):1-6.
[3]	马林.国产1860级低松弛预应力钢绞线疲劳性能研究[J].铁道标准设计,2000(5):21-23.
[4]	谢承德.高强混凝土性能研究[J].混凝土及加筋混凝土,1989(3):3-11,43.
[5]	胡世德.OVM预应力锚固体系锚下应力分析[J].公路,1992(1):25-29.
[6]	国家市场监督管理局. 预应力混凝土用钢绞线:GB/T 5224—2023[S]. 北京:中国标准出版社,2023.
[7]	中华人民共和国国家质量监督检验检疫总局. 预应力混凝土用钢棒:GB/T 5223.3—2017[S]. 北京:中国标准出版社,2017.
[8]	国家市场监督管理局. 先张法预应力混凝土管桩:GB/T 13476—2023[S]. 北京:中国标准出版社,2023.
[9]	中华人民共和国住房和城乡建设部. 混凝土结构设计规范:GB 50010—2010[S]. 北京:中国建筑工业出版社,2011.
[10]	中华人民共和国住房和城乡建设部. 冷拔低碳钢丝应用技术规程:JGJ 19—2010[S]. 北京:中国建筑工业出版社,2010.
[11]	中华人民共和国住房和城乡建设部. 无黏结预应力混凝土结构技术规程:JGJ 92—2016[S]. 北京:中国建筑工业出版社,2016.
[12]	中国工程建设标准化协会. 混凝土结构耐久性评定标准:CECS 220:2007[S]. 北京:中国建筑工业出版社,2007.
[13]	中华人民共和国住房和城乡建设部. 建筑结构检测技术标准:GB 50344—2019[S]. 北京:中国建筑工业出版社,2019.
[14]	中华人民共和国住房和城乡建设部. 混凝土结构加固设计规范:GB 50367—2013[S]. 北京:中国建筑工业出版社,2013.
[15]	中国工程建设标准化协会. 预应力结构诊治技术规程:T/CECS 1363—2023[S]. 北京:中国建筑工业出版社,2023.
[16]	罗小龙,陆建城."十四五"时期发展新趋势与国土空间规划应对[J].城市规划,2019,43(10):9-12 ,28.
[17]	PILLAI R G, HUESTE M D, GARDONI P, et al. Time-variant service reliability of post-tensioned, segmental, concrete bridges exposed to corrosive environments[J]. Engineering Structures, 2010, 32(9): 2596-2605.
[18]	HUANG X, KWON O S, BENTZ E. Evaluation of CANDU NPP containment structure subjected to aging and internal pressure increase [J]. Nuclear Engineering and Design, 2017, 314:82-92.
[19]	武乾,张特刚.基于再生改造的旧工业厂房结构安全分析[J].建筑结构,2016,46(5):58-62.
[20]	NEZAMIAN A, NICOLSON R J, IOSIF D. State of Art in Life Extension of Existing Offshore Structures[C]//Proceedings of the ASME 2012:31st International Conference on Ocean, Offshore and Arctic Engineering. Volume 2: Structures, Safety and Reliability. 2012:165-174.
[21]	GHOLIZADEH S, LEMAN Z, BAHARUDIN B T H T. A review of the application of acoustic emission technique in engineering[J]. Struct Eng Mech, 2015,54(6): 1075-1095.
[22]	HUSSIN M, CHAN T H T, FAWZIA S,et al.Identifying the prestress force in prestressed concrete bridges using ultrasonic technology[J/OL].International Journal of Structural Stability and Dynamics, 2020,20(10)[2024-09-19].https://doi.org/10.1142/s0219455420420146.
[23]	曾滨,许庆.检测无黏结预应力混凝土结构中预应力值的方法:CN201711439077.9[P].2019-03-29.
[24]	KIM J T, RYU Y S, YUN C B,et al.Vibration-based method to detect prestress loss in beam-type bridges[C/OL].Proceedings of SPIE: the International Society for Optical Engineering 5057.2003[2024-09-19].https://doi.org/10.1117/12.484638.
[25]	尚仁杰,曾滨,荣华,等.应力释放法检测混凝土应力的标准化方法研究[J].工业建筑,2022,52(11):151-156.
[26]	GUO W L, LIANG P, LIU H X, et al. An evaluation method for effective prestress of simply supported prestressed concrete beams with breathing cracks[J/OL]. Advances in Civil Engineering, 2021(1)[2024-09-19].https://doi.org/10.1155/2021/8876093.
[27]	李世安,贺拴海,娄诚,等.基于横张增量法的PC梁桥现存应力测试与评估[J].长安大学学报(自然科学版),2012,32(2):70-73,81.
[28]	NGUYEN T T, HOANG N D, NGUYEN T H, et al. Analytical impedance model for piezoelectric-based smart strand and its feasibility for prestress force prediction[J/OL]. Structural Control and Health Monitoring, 2022, 29(11)[2024-09-19].https://doi.org/10.1002/stc.3061.
[29]	JOH C B, LEE J W, KWAHK I J. Feasibility study of stress measurement in prestressing tendons using Villari effect and induced magnetic field[J]. International Journal of Distributed Sensor Networks, 2013(3/4):1-8.
[30]	ZHOU Z, HE J P, CHEN G D,et al. A smart steel strand for the evaluation of prestress loss distribution in post-tensioned concrete structures[J]. Journal of Intelligent Material Systems and Structures,2009,20(16): 1901-1912.
[31]	尚仁杰, 黄其华, 李谦. 使用 19 年的预应力混凝土结构现存预应力值检测与统计分析[J]. 工业建筑, 2016, 46(4): 79-82.
[32]	ESTEVA L, DÍAZ-LÓPEZ O J, VÁSQUEZ A, et al. Structural damage accumulation and control for life cycle optimum seismic performance of buildings[J]. Structure and Infrastructure Engineering, 2016, 12(7): 848-860.
[33]	BISCHOFF P H. Deformation model for reinforced and cracked prestressed concrete[J]. ACI Structural Journal,2022,119(1): 243-254.
[34]	GJØRV O E. Durability of concrete structures[J]. Arabian Journal for Science and Engineering, 2011,36(2): 151-172.
[35]	孙洋, 陈涛, 赵卓. 病害预应力混凝土梁桥结构承载能力评估[J]. 世界桥梁, 2016, 44(4):87-91.
[36]	赵煜,贺拴海,李春风,等.在役预应力混凝土箱梁开裂后承载力评估[J].同济大学学报(自然科学版),2010,38(9):1271-1275.
[37]	王宇威,潘钻峰,曾滨,等.疲劳荷载作用对预应力长期损失影响试验研究与理论分析[J/OL].工程力学,2023-10-25[2024-09 -19].https://doi.org/10.6052/j.issn1000-4750.2023.05.0381.
[38]	GARBER D B, GALLARDO J, DESCHENES D J,et al. Prestress loss calculations: another perspective[J]. PCI Jounrnal,2016,61(3): 68-85.
[39]	张开银, 郭志伟, 顾津申,等. 预应力混凝土结构弯曲孔道预应力损失研究[J]. 固体力学学报, 2008, 29(增刊1):127-131.
[40]	PÁEZ P M, SENSALE B. Improved prediction of long-term prestress loss in unbonded prestressed concrete members[J]. Engineering Structures, 2018, 174: 111-125.
[41]	曾滨,徐曼,许庆.预应力筋/索非线性疲劳-松弛应力理论模型与计算方法[J].土木工程学报,2022,55(9):1-8.
[42]	曾滨,潘钻峰,曹栋,等.不同应力水平对混凝土徐变性能的影响[J].工业建筑,2019,49(11):163-168.
[43]	MADSEN H O, BAZANT Z P. Uncertainty analysis of creep and shrinkage effects in concrete structures[J]. ACI Journal, 1983, 80(2): 116-127.
[44]	许庆,曾滨,徐晓达,等.基于高斯混合模型的混凝土结构预应力分布特征及估计方法[J].建筑结构学报,2022,43(10):60-67.
[45]	许庆,李嘉伟,曾滨,等.基于实测预应力值的既有混凝土构件性能推定方法[J].工业建筑,2024,54(8):1-8.
[46]	GHOSH M, MUKHOPADHYAY N, SEN P K, et al. Sequential estimation[M]. Hoboken:John Wiley & Sons, 2011.
[47]	许庆,曾滨,徐晓达,等.基于序贯理论的混凝土结构有效预应力实测概率估计方法[J].建筑结构学报,2024,45(7):100-107.
[48]	KEITEL H, DIMMIG-OSBURG A. Uncertainty and sensitivity analysis of creep models for uncorrelated and correlated input parameters[J]. Engineering Structures, 2010, 32(11): 3758-3767.
[49]	DRAPER D. Assessment and propagation of model uncertainty[J]. Journal of the Royal Statistical Society Series B: Statistical Methodology,1995,57(1): 45-70.
[50]	JENKINS C, KHANNA S. Mechanics of materials: a modern integration of mechanics and materials in structural design[M]. Salt Lake City:American Academic Press, 2005.
[51]	WU K D, QIANG X H, XING Z, et al. Buckling in prestressed stayed beam-columns and intelligent evaluation[J/OL]. Engineering Structures, 2022,255(15)[2024-09-19].https:/doi.org/10.1016/j.engstruct.2022.113902.
[52]	REHDER J, SIEGWART R, FURGALE P. A general approach to spatiotemporal calibration in multisensor systems[J]. IEEE Transactions on Robotics, 2016,32(2): 383-398.
[53]	RUIZ A P, FLYNN M, LARGE M,et al. The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances[J]. Data Mining and Knowledge Discovery, 2021,35: 401-449.
[54]	NASER M Z, KODUR V, THAI H T,et al. StructuresNet and FireNet: Benchmarking databases and machine learning algorithms in structural and fire engineering domains[J/OL]. Journal of Building Engineering, 2021,44[2024-09-19].https://doi.org/10.1016/j.jobe.2021.102977.