Application of particle filter to concrete freeze-thaw prognosis
Article No.: 133, Pages 1 - 7
Abstract
Subject to many factors such as material properties, load, chloride ion, carbonization, abrasion, alkali aggregate reaction, test error and so on, the freeze-thaw degradation process is of high uncertainties, which means great difficulty in modeling and engineering application. To eliminate the influence of uncertainties and improve prediction accuracy, a particle filter-based concrete freeze-thaw life preditcon method is proposed in this paper. It takes the freeze-thaw failure of concrete pavement in rainy and snowy as the research background, and builds the evolution equation of freeze-thaw degradation process based on relative dynamic modulus of elasticity (RDME) under freeze-thaw cycles. Then, using ultrasonic waves as a detection method, the observation equation is built by the relationship between ultrasonic flight-time and RDME. Employing the evolution and observation equation, a state space model describing the degradation process of concrete freeze-thaw is set up to predict the remaining useful life of the concrete based on standard PF. Freeze-thaw tests of concrete with compressive strength grade C50 in 3% chloride solution show that the particle filter-based life prediction method can eliminate the influence of uncertainty and achieve higher life prediction accuracy than traditional deterministic prediction method. The results can provide data support for the construction of expressways, airport pavements, offshore and coastal projects, as well as other construction projects, which have important application value and economic benefits for improving the design, extending the service life and enhancing the maintenance of concrete structures.
References
[1]
Mehta P K. Durability of concrete-fifty years of progress. Special Publication, 1991, 126: 1--32.
[2]
Steven H K, Beatrix K, William C P. Design and control of concrete mixtures, Portland Cement Association, 2003.
[3]
Duan A, Tian Y, Dai J G, et al. A stochastic damage model for evaluating the internal deterioration of concrete due to freeze-thaw action, Materials and Structures, 2014, 47(6): 1025--1039.
[4]
Dong W, Shen X D, Xue H J, et al. Research on the freeze-thaw cyclic test and damage model of Aeolian sand lightweight aggregate concrete, Construction and Building Materials, 2016, 123: 792--799.
[5]
Hammersley J M, Morton K W. Poor man's Monte Carlo, Journal of the Royal Statistical Society, 1954, 16(1): 23--38.
[6]
Yang W, Gao P. Lamb wave-minimum sampling variance particle filter-based fatigue crack prognosis, Sensors, 2019, 19(5), 1070: 1--20.
[7]
Orchard M E, Vachtsevanos G J. A particle filtering approach for on-line failure prognosis in a planetary carrier plate, International Journal of Fuzzy Logic & Intelligent Systems, 2007, 7(4): 221--7.
[8]
Orchard M, Wu B, Vachtsevanos G. A particle filtering framework for failure prognosis, World Tribology Congress III, American Society of Mechanical Engineers, 2005: 883--884.
[9]
Orchard M. A particle filtering-based framework for online fault diagnosis and failure prognosis, PhD proposal, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 2007.
[10]
Orchard M E, Vachtsevanos G J. A particle-filtering approach for on-line fault diagnosis and failure prognosis. Transactions of the Institute of Measurement & Control, 2009, 31(3--4): 221--46.
[11]
Wang H K, Haynes R, Huang H Z, et al. The Use of High-performance Fatigue Mechanics and the Extended Kalman/Particle Filters, for Diagnostics and Prognostics of Aircraft Structures, CMES: Computer Modeling in Engineering & Sciences, 2015, 105(1): 1--24.
[12]
An D, Kim N H, Choi J H. Practical options for selecting data-driven or physics-based prognostics algorithms with reviews, Reliability Engineering & System Safety, 2015, 133: 223--236.
[13]
Mishra M, Odelius J, Thaduri A, et al. Particle filter-based prognostic approach for railway track geometry, Mechanical Systems and Signal Processing, 2017, 96: 226--238.
[14]
Yuan S, Chen J, Yang W, et al. On-line crack prognosis in attachment lug using Lamb wave-deterministic resampling particle filter-based method, Smart Material Structures, 2017, 26(8): 085016.
[15]
Yang W, Yuan S, Qiu L, et al. A particle filter and Lamb wave based on-line prognosis method of crack propagation in aluminum plates, 4th International Symposium on NDT in Aerospace, 2012.
[16]
Yang W, Yuan S, Chen J. Application of deterministic resampling particle filter to fatigue prognosis, Journal of Vibroengineering, 2017, 19(8).
[17]
Chen J, Yuan S, Qiu L, et al. Research on A Lamb wave and particle filter-based on-line crack propagation prognosis method, Sensors, 2016, 16(3): 320.
[18]
Chen J, Yuan S, Qiu L, et al. On-line prognosis of fatigue crack propagation based on Gaussian weight-mixture proposal particle filter, Ultrasonics, 2018, 82: 134--144.
[19]
Chen J, Yuan S, Wang H, et al. On particle filter improvements for on-line crack growth prognosis with guided wave monitoring, Smart Materials and Structures, 2019, 28(3): 035011.
[20]
Jouin M, Gouriveau R, Hissel D, et al. Particle filter-based prognostics: review, discussion and perspectives, Mechanical Systems and Signal Processing, 2016, 72: 2--31.
[21]
Hongfa Y. study on high performance concrete in salt lake: durability, mechanism and service life prediction, Nanjing: Southeast University, 2004.
[22]
Ababneh A.N. The coupled effect of moisture diffusion, chloride penetration and freezing-thawing on concrete durability, Denver: University of Colorado, 2002
[23]
Doucet A, Godsill S, Andrieu C. On sequential monte carlo sampling methods for bayesian filtering, Statistics and Computing, 2000, 10(3): 197--208.
[24]
Gordon N J, Salmond D J, Smith A F M. Novel approach to nonlinear/non-Gaussian Bayesian state estimation, Radar & Signal Processing IEE Proceedings F, 1993, 140(2): 107--13
Index Terms
- Application of particle filter to concrete freeze-thaw prognosis
Recommendations
Modelling of dilation of concrete and its effect in triaxial compression
This paper deals with the modelling of the dilation characteristics of concrete in compression. Triaxial stress states, which are usually activated by prevention of dilation, often govern the load resistance of concrete structures. Therefore, a ...
A plastic damage approach for confined concrete
There are many situations in which it is necessary to increase the capacity of structures in use. This need maybe either for a change of use or because the structures have suffered some damage or have shown little resistance in case of extreme loads ...
A two-scale damage model for high-cycle fatigue at the fiber-reinforced polymer-concrete interface
This paper presents a new two-scale damage model of the fiber-reinforced polymer (FRP)-concrete bond under high-cycle fatigue. The material behavior is modeled as elastic-plastic coupled with damage for the microscale analysis and as elastic for the ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2019
963 pages
ISBN:9781450371582
DOI:10.1145/3321408
Copyright © 2019 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 May 2019
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- Six Talent Peaks Project in Jiangsu Province
- China Postdoctoral Science Foundation
- Traffic Construction Science and Technology Project of Shanxi
Conference
ACM TURC 2019
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 62Total Downloads
- Downloads (Last 12 months)6
- Downloads (Last 6 weeks)0
Reflects downloads up to 14 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in