A5068428587- Structural Integrity and Reliability Analysis
- Corrosion Behavior and Inhibition
- Hydrogen embrittlement and corrosion behaviors in metals
- Non-Destructive Testing Techniques
- Probabilistic and Robust Engineering Design
- Concrete Corrosion and Durability
- Fatigue and fracture mechanics
- Ultrasonics and Acoustic Wave Propagation
- Domain Adaptation and Few-Shot Learning
- Fibroblast Growth Factor Research
- Microtubule and mitosis dynamics
- Multimodal Machine Learning Applications
- Proteoglycans and glycosaminoglycans research
- Bladed Disk Vibration Dynamics
- Vibration and Dynamic Analysis
- Infrastructure Maintenance and Monitoring
- Structural Health Monitoring Techniques
- Human Pose and Action Recognition
Nanjing University of Posts and Telecommunications
2024
Zhengzhou University
2023
Western University
2010-2020
TransCanada (Canada)
2015
London Health Sciences Centre
2010
The Bayesian methodology is employed to calibrate the accuracy of high-resolution ILI tools for sizing metal-loss corrosion defects on pipelines by comparing field-measured depths and ILI-reported a set static defects, i.e. that are recoated ceased growing. measurement error associated with field-measuring tool found be negligibly small; therefore, depth assumed equal actual defect. defect reported an linear function corresponding subjected random scattering error. probabilistic...
This paper describes a non-homogeneous gamma process-based model to characterize the growth of depth corrosion defect on oil and gas pipelines. All parameters in are assumed be uncertain; probabilistic characteristics these evaluated using hierarchical Bayesian methodology by incorporating information reported multiple in-line inspections (ILIs) as well prior knowledge about parameters. The bias random measurement error associated with ILI tools correlation between errors different taken...
Temporal difference (TD) learning is a powerful framework for value function approximation in reinforcement learning. However, standard TD methods often struggle with feature representation and off-policy challenges. In this paper, we propose novel framework, online attentive kernel-based learning, combination well-known algorithms, introduce OAKGTD2, OAKTDC, OAKETD. This uses two-timescale optimization. the slow-timescale, sparse of state features learned using an method. fast-timescale,...
Due to modal truncation, the dynamic responses calculated by mode superposition method have some errors. In this paper, source of truncation error complex for hysteretic damped systems with non-proportional characteristics is analyzed. It includes errors external excitation load and Hilbert transform term. With increase order, ratio frequency natural gradually approaches zero. Combined expression structural response caused harmonic wave, corresponding approximate high-order obtained. Through...
A hierarchical Bayesian growth model is presented in this paper to characterize and predict the of individual metal-loss corrosion defects on pipelines. The depth assumed be a power-law function time characterized by two coefficients initiation time, probabilistic characteristics parameters involved are evaluated using Markov Chain Monte Carlo (MCMC) simulation technique based ILI data collected at different times for given pipeline. accounts constant non-constant biases random scattering...
This paper describes an efficient methodology that utilizes the first order reliability method (FORM) and system approaches to evaluate time-dependent failure probabilities of a pressurized pipeline at single active corrosion defect considering three different modes, i.e. small leak, large leak rupture. The criteria for distinguishing rupture given are established based on information in literature. wedge integral probability weighting factor methods used burst, whereas conditional index is...
This paper describes the use of second-order polynomial dynamic linear model (DLM) to characterize growth depth corrosion defects on energy pipelines using imperfect data obtained from multiple high-resolution in-line inspections (ILI). The is formulated by incorporating general form measurement error (including biases and random scattering error) ILI tools as well correlations between errors different tools. temporal variability captured allowing average rate two successive vary with time....
This paper investigates the optimal timing of first inspection for newly-built onshore underground natural gas pipelines with respect to external metal-loss corrosion by considering generation defects over time and time-dependent growth individual defects. The non-homogeneous Poisson process is used model new homogeneous gamma A realistic maintenance strategy that consistent industry practice accounts probability detection (PoD) sizing errors tool incorporated in investigation. Both direct...
The model errors associated with five representative burst pressure prediction models, namely B31G, B31G Modified, DNV, PCORRC and RSTRENG, for corroded pipelines are evaluated based on a relatively large number full-scale tests pipes reported in the literature. All test specimens database contain single isolated real corrosion defects. means, coefficients of variation (COVs) probability distribution considered capacity models derived test-to-predicted ratios collected data. A numerical...