Home Journals Articles Updates About
CN
image
收藏切换
Bayesian Stochastic Model for Carbonation Depth of In-service Concrete Structures
收藏切换
PDF
Jian-you WANG1, Jun-yu WANG1, 2, Da-hui WANG2, Qun YUAN2, Hong-liang CAO2
Water Resources and Power | 2023, 41(2) : 154 - 158
Less
收藏切换
Water Resources and Power | 2023, 41(2): 154-158
• WATER CONSERVANCY AND HYDROPOWER ENGINEERING •
Bayesian Stochastic Model for Carbonation Depth of In-service Concrete Structures
Full
Jian-you WANG1, Jun-yu WANG1, 2, Da-hui WANG2, Qun YUAN2, Hong-liang CAO2
Affiliations
  • 1.School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China
  • 2.Henan Provincial Water Conservancy Research Institute, Zhengzhou 450003, China
Published: 2023-02-25 doi: 10.20040/j.cnki.1000-7709.2023.20220936
Outline
收藏切换

Due to the randomness of concrete carbonation process, the results obtained by the existing carbonation depth prediction models are difficult to characterize the actual carbonation status of in-service concrete structures. Therefore, combining the existing stochastic carbonization model with the actual measurement information of the carbonization depth of in-service concrete structures, a calculation method of a priori distribution hyper-parameters was given when the mean and variance of carbonized population samples were unknown. A Bayesian random model for the carbonation depth of in-service concrete structures was established. Taking the measured concrete carbonation depth of spillway pier and other structures of Yanshan Reservoir as an engineering example, the results show that the Bayesian random model can better represent the actual carbonation condition of in-service concrete structure.

carbonation depth  /  Bayesian  /  randomness  /  hyper-parameter
Jian-you WANG, Jun-yu WANG, Da-hui WANG, Qun YUAN, Hong-liang CAO. Bayesian Stochastic Model for Carbonation Depth of In-service Concrete Structures[J]. Water Resources and Power, 2023 , 41 (2) : 154 -158 . DOI: 10.20040/j.cnki.1000-7709.2023.20220936
Appendix
Less
Year 2023 volume 41 Issue 2
PDF
149
31
Cite this Article
BibTeX
Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220936
  • Receive Date：2022-04-06
  • Online Date：2026-01-27
  • Published：2023-02-25
Article Data
Affiliations
History
  • Received：2022-04-06
  • Revised：2022-05-23
Funding
Affiliations
    1.School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China
    2.Henan Provincial Water Conservancy Research Institute, Zhengzhou 450003, China
References
Share
https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20220936
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House