Article
Engineering, Marine
Utkarsh Bhardwaj, Angelo Palos Teixeira, C. Guedes Soares
Summary: This paper assesses the uncertainty of partial safety factors for designing corroded pipelines against burst failure. 10 calibrated burst pressure prediction models for corroded pipelines are adopted and categorised based on steel classes. Monte Carlo simulation is used to study the probabilistic characteristics of pipe burst strength. Model uncertainty factors are used to correct burst pressure predictions, and model strength factors are derived for each category to provide coherent reliability. The first-order reliability method is employed to estimate partial safety factors and their uncertainty as a function of operational time. The influence of corrosion growth model on the evaluation of partial safety factors is also assessed. The results of this study can provide important guidance for the design and maintenance of pipelines with different steel grades.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
U. Bhardwaj, A. P. Teixeira, C. Guedes Soares
Summary: This paper proposes an approach to assess the structural reliability of corroded pipes by calibrating and evaluating strength models for different steel grades, aiming to improve the accuracy and reliability of the method.
Article
Computer Science, Interdisciplinary Applications
Mansour Bagheri, Shun-Peng Zhu, Mohamed El Amine Ben Seghier, Behrooz Keshtegar, Nguyen-Thoi Trung
Summary: This study presents an iterative bi-loop framework for fuzzy reliability analysis of corroded pipelines to evaluate various fuzzy-random variables.Fuzzy reliability index calculations are found to be significantly influenced by corrosion defect depth and operating pressure, indicating the importance of considering these factors in reliability analysis.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Environmental
Yunlu Ma, Jianqin Zheng, Yongtu Liang, Jiri Joaromir Klemes, Jian Du, Qi Liao, Hongfang Lu, Bohong Wang
Summary: This paper proposes a theory-guided neural network model-based method to predict burst pressure of corroded pipelines, incorporating physical principles into the deep learning framework. Validation using experiments and finite element simulations shows the model's robustness and adaptability to different data. The model outperforms other models in accuracy, with a correlation coefficient of 0.9945, root mean square error of 0.562, and mean absolute percentage error of 2.65%.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Multidisciplinary
Abraham Mensah, Srinivas Sriramula
Summary: This paper proposes a pathway for developing efficient performance functions to evaluate the probability of failure for interacting pipeline corrosion clustering defects using a probabilistic finite element-based reliability method. The framework reduces computational cost and offers informed decision-making on risk and maintenance management.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2024)
Article
Engineering, Marine
Yihuan Wang, Ailin Xia, Peng Zhang, Guojin Qin
Summary: This paper proposes a degenerated model for naturally corroded surfaces of pipelines using the random field method and in-line inspection (ILI) data. It performs statistical sensitivity analysis to examine the mechanical properties of corroded pipelines and introduces Bayes inference and Markov Chain Monte Carlo (MCMC) to update the failure probability. Numerical example results demonstrate the effectiveness and practicality of the proposed method.
Article
Engineering, Marine
Fengyuan Jiang, Enjin Zhao
Summary: This study demonstrates the significant impact of interacting effects on the failure risk of corroded pipelines, highlighting a non-linear relationship between failure probability and interval space. The uncertainties of stochastic variables also play an important role in determining failure risk.
Article
Engineering, Mechanical
Paulo Fernando Silva Sousa, Silvana Maria Bastos Afonso, Ramiro Brito Willmersdorf
Summary: This study discusses an alternative approach in reliability-based preventive maintenance planning for corroded pipelines, using finite element modeling and radial basis functions to calculate burst pressure. The results show that this method can predict fewer and delayed maintenance activities, leading to more economical and realistic maintenance schedules.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Review
Engineering, Mechanical
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Jundika Chandra Kurnia, Najeebullah Lashari, Huimin Lu, Chico Sambo
Summary: The use of machine learning techniques in evaluating the integrity of damaged oil and gas pipelines is favored by researchers. Hybrid models, combining the strengths of various constituent models, have been found to outperform standalone models in predicting pipeline integrity. Current research mostly utilizes field data, simulation data, and experimental data, with input characteristics such as temperature, pH, pressure, and velocity being crucial in corroded pipeline integrity assessment.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Civil
W. Zhou, J. Bao, X. Z. Cui, H. P. Hong
Summary: The study introduces an iterative algorithm for simulating nonhomogeneous non-Gaussian corrosion fields on buried oil and gas pipeline's external surfaces, successfully capturing the statistical characteristics of naturally occurring corrosion fields. Through finite element analyses, the algorithm also evaluates the burst capacities of pipe segments, providing significant value to pipeline corrosion management practice.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Mechanical
Haonan Ma, Hantong Wang, Mengying Geng, Yibo Ai, Weidong Zhang, Wenyue Zheng
Summary: This paper presents a novel hybrid approach model for predicting the burst pressure of corroded pipelines. The model constructs a new feature space with physical meaning based on pipeline geometry, the size of corrosion defects, and material properties. It combines empirical formula and ensemble learning to make accurate predictions. Experimental results demonstrate the model's high accuracy and adaptability to different strength grades of corroded pipelines.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Engineering, Mechanical
Mohd Fakri Muda, Mohd Hisbany Mohd Hashim, Mohd Khairul Kamarudin, Mohd Hairil Mohd, T. Tafsirojjaman, Marzuki Abdul Rahman, Jeom Kee Paik
Summary: This paper presents a computational model for predicting the burst pressure strength of repaired pipelines with CFRP patches using an artificial neural network algorithm. The validity of the computational model is verified by comparing it with refined finite element method solutions. The proposed method will aid in the development of a quick procedure for the CFRP-based repair scheme of corroded subsea pipelines.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Automation & Control Systems
Z. He, W. Zhou
Summary: This study employs TGAN to generate synthetic burst test data for corroded pipe specimens by capturing the joint probability distribution of real test data. The credibility of the synthetic data is validated through the use of machine learning models. The study demonstrates the accuracy of the generated synthetic data in capturing the joint probability distribution of the real test data. This research provides a viable option for generating high-quality synthetic test data to facilitate the development of engineering critical assessment models in pipeline integrity management.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Marine
Fengyuan Jiang, Sheng Dong, Enjin Zhao
Summary: Corrosion defects, particularly pitting clusters, play a significant role in pipeline burst failures. A finite element analysis model was developed to simulate these defects and estimate the burst pressure. The failure mechanisms and probabilistic characteristics were then investigated, revealing variability and weak correlation between material loss and burst pressure. A model uncertainty factor-based risk assessment framework was developed to evaluate failure probabilities and provide safety margins for operation.
Article
Engineering, Marine
U. Bhardwaj, A. P. Teixeira, C. Guedes Soares
Summary: This study investigates the failure of corroded ultra-high-strength steel pipelines under combined axial loads and internal pressure through numerical analysis, and proposes an empirical model for burst strength prediction. The results reveal that both axial tension and corrosion defects significantly reduce the burst strength of ultra-high-strength steel pipelines.
Article
Computer Science, Interdisciplinary Applications
Sy Hung Mai, Mohamed El Amine Ben Seghier, Phuong Lam Nguyen, Jafar Jafari-Asl, Duc-Kien Thai
Summary: This paper aims to develop a new framework for accurate estimation of the axial compression capacity (ACC) of square concrete-filled steel tubular (SCFST) columns using a novel hybrid artificial intelligence technique. The predictive model based on radial basis function neural network (RBFNN) and firefly algorithm (FFA) exhibits the highest efficiency and accuracy compared to other optimization algorithms and the trial and error method.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Multidisciplinary
Shun-Peng Zhu, Behrooz Keshtegar, Mohamed El Amine Ben Seghier, Enrico Zio, Osman Taylan
Summary: This study proposes two improved particle swarm optimization algorithms to enhance the convergence rate and global convergence of structural reliability analysis. The experimental results show that the proposed methods using improved PSO algorithms are more robust and efficient than the traditional FORM methods for solving high-dimensional engineering problems.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Mechanical
Jafar Jafari-Asl, Mohamed El Amine Ben Seghier, Sima Ohadi, Jose Correia, Joao Barroso
Summary: This paper proposes a new framework for accurate reliability analysis based on metaheuristic algorithms to improve directional simulation. By formulating the unit vector direction as a constrained optimization problem and utilizing the Harris Hawks Optimization algorithm, the novel approach shows high-performance capabilities in solving highly nonlinear engineering problems.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Energy & Fuels
Mohamed El Amine Ben Seghier, Daniel Hoche, Mikhail Zheludkevich
Summary: This paper proposes a practical implementation of robust ensemble learning models for accurate prediction of the internal corrosion rate in oil and gas pipelines. The extreme gradient boosting model shows the highest performance in predicting the internal corrosion rate.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Mohamed El Amine Ben Seghier, Zahiraniza Mustaffa, Tarek Zayed
Summary: This paper proposes a new framework for the probabilistic analysis of subsea pipelines subjected to both free spanning and corrosion degradation. The importance of early-inspection data for planning the suitable operating regime of the pipeline is found to be significant.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Mohamed El Amine Ben Seghier, Panagiotis Spyridis, Jafar Jafari-Asl, Sima Ohadi, Xinhong Li
Summary: This paper investigates the reliability analysis of corroded pipelines using different simulation and meta-model methods, aiming to improve the accuracy of pipeline integrity management. The study compares five simulation approaches and two meta-models based on MCS, establishing three limit state functions to describe the collapse failure mode for pipelines constructed of different strength steels.
Review
Engineering, Mechanical
Hassan M. Hussein Farh, Mohamed El Amine Ben Seghier, Tarek Zayed
Summary: This comprehensive review extensively covers both external and internal corrosion protection techniques for metallic pipelines. External techniques include passive, active, and hybrid methods, while internal techniques include coatings, inhibitors, and dehydration. The review aims to assist researchers, practitioners, and the industrial sector in selecting appropriate corrosion protection techniques and identifying research gaps.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Construction & Building Technology
Ummi Salina Farini Bahaman, Zahiraniza Mustaffa, Mohamed El Amine Ben Seghier, Nurul Neesa Idris
Summary: This study proposes a framework that incorporates structural reliability analysis (SRA) to analyze the safety and integrity of corroded girth welded pipelines. The probabilistic evaluation using Monte Carlo simulation is conducted to compare different burst pressure models and corrosion failure criteria. The findings indicate that the pipeline corrosion failure criterion (PCORRC) provides the most reasonable results for girth welded pipelines.
JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
(2022)
Article
Engineering, Civil
Mohamed El Amine Ben Seghier, Vagelis Plevris, German Solorzano
Summary: In this study, intelligent models were constructed using random forest as the basic model to estimate the ultimate pure bending capacity of circular steel tubes. The parameters of the random forest model were optimized using three nature inspired optimization algorithms. The performance of the developed models was evaluated through experimentation and data analysis, and it was found that the hybrid RF model performed the best.
Review
Environmental Sciences
Ridwan Taiwo, Mohamed El Amine Ben Seghier, Tarek Zayed
Summary: This study fills the research gap by conducting a bibliometric analysis and systematic review of predictive models for the failure probability of water pipes. It finds that machine-learning based models are understudied compared to physical and statistical models, and suggests the exploration of social and operation-related predictors in future research.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Sanaz Afzali Ahmadabadi, Jafar Jafari-Asl, Elham Banifakhr, Essam H. Houssein, Mohamed El Amine Ben Seghier
Summary: English Summary: In this study, the placement of contamination warning systems (CWSs) in water distribution systems (WDSs) was investigated. A novel optimization model called WOA-SCSO, based on a hybrid algorithm combining whale optimization algorithm (WOA) and sand cat swarm optimization (SCSO), was developed. The effectiveness of the WOA-SCSO algorithm was evaluated using benchmark functions, showing superior performance compared to other algorithms. The results demonstrated that the WOA-SCSO algorithm can effectively optimize the placement of CWSs in WDSs, reducing contamination risks.
Article
Engineering, Ocean
Ziyue Han, Xinhong Li, Renren Zhang, Ming Yang, Mohamed El Amine Ben Seghier
Summary: This study develops a probabilistic condition assessment model based on continuous dynamic Bayesian network to support the life extension decision-making of aging subsea pipelines. By simplifying the complex corrosion-fatigue degradation process and modeling crack propagation, the model estimates the dynamic reliability of the subsea pipeline and determines the need for measures to extend its life.
APPLIED OCEAN RESEARCH
(2023)
Review
Engineering, Chemical
Hassan M. Hussein Farh, Mohamed El Amine Ben Seghier, Ridwan Taiwo, Tarek Zayed
Summary: Corrosion remains a significant cause of failures in water distribution networks, with detrimental impacts on technology, society, and the economy. This comprehensive review explores the influential factors in water pipelines' corrosion and analyzes them using fault tree analysis. The research reveals that water quality is the most investigated factor, and operational factors have the greatest relative weight.
Article
Multidisciplinary Sciences
Mohamed El Amine Ben Seghier, Vagelis Plevris, Abdollah Malekjafarian
Summary: The damages caused by reinforcement corrosion in reinforced concrete beams are a significant issue in the industry. Accurately predicting the residual bearing capacity of these beams can prevent structural failures and unnecessary inspection and rehabilitation costs. This paper proposes a novel machine learning-based framework that combines the adaptive neural fuzzy inference system (ANFIS) with various metaheuristic algorithms to estimate the flexural strength capacity effectively. Using five optimization algorithms, including differential evolution, genetic algorithm, particle swarm optimization, artificial bee colony, and firefly algorithm, the optimum ANFIS parameters are automatically selected. The proposed hybrid models are evaluated using a comprehensive experimental database consisting of 177 tests on corroded steel reinforced concrete beams, and the results demonstrate the superiority of the models, particularly the optimized ANFIS using firefly algorithm (FFA) which exhibits the highest accuracy and stability. In conclusion, the proposed framework using ANFIS-FFA can be a valuable tool for accurately estimating the flexural strength capacity of corroded reinforced concrete beams.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Mohamed El Amine Ben Seghier, Ole Oystein Knudsen, Anders Werner Bredvei Skilbred, Daniel Hoeche
Summary: A data-driven model based intelligent framework is developed to forecast free atmospheric corrosion in marine steel structures. The framework utilizes a group method of data handling (GMDH) type neural network and Shapley additive explanations (SHAP) technique to examine the impact of environmental factors. The results demonstrate the high accuracy and efficiency of the framework in predicting corrosion progression.
NPJ MATERIALS DEGRADATION
(2023)
Article
Engineering, Mechanical
Willy Ank de Morais, Railson Bolsoni Falcao, Mario Boccalini Jr, Fernando Jose Gomes Landgraf
Summary: This study compares the fatigue behavior of bcc Nb-48 wt%Ti (Ti-36at%Nb) alloy parts processed by Laser Powder Bed Fusion (L-PBF) using two different types of powders (spherical powder produced by Plasma Atomization and irregularly shaped powder produced by Hydride-Dehydride). The results show that the fatigue behavior is similar for both powders, but the specimens produced from the Hydride-Dehydride powder have higher dispersed results. Fracture primarily occurs in the porosities near the machined sample surface, and the fatigue cracks propagate in a zigzag mode parallel to the L-PBF building direction.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Guoxi Jing, Shuai Sun, Teng Ma, Shubo Li, Tian Ma, Junchao Wei, Jianchao Pang
Summary: This study proposes a parameter identification method for predicting the TMF life of CGI materials used in cylinder heads. The study evaluates the TMF behavior of RuT450 material and successfully predicts its TMF life using multi-objective optimization. The results highlight the influence of plastic strain amplitude, temperature, and strain rate on the damage mechanism and life prediction.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Xin Zhang, Xu Li, Weipeng Xu, Kuidong Gao, Kao Jiang, Xinyu Wang, Hongxin Wei
Summary: Conical picks are commonly used in tunnel excavation and often experience high temperatures during the cutting process. This study investigated the influence of temperature on the wear of conical picks and proposed a method for measuring rock abrasiveness that takes into account the thermal effect. The experimental results showed that cooling liquid reduced the maximum temperature and the mean mass loss of the conical pick. Additionally, the study examined the characteristics of oxygen and found evidence of peeling, cracking, and oxidation on the grinding rod used for rock abrasiveness measurement.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Vivek Srivastava, Deependra Singh, A. G. Rao, V. P. Deshmukh
Summary: Engine gear failures are a significant concern in various industries. Investigating each gear failure and determining the root cause is important for preventing future failures. This study used experimental and numerical analysis techniques to investigate the premature failure of a flywheel gear in a marine diesel engine. The findings revealed that the gear failed due to overload stresses caused by overload torque generated from sudden inertial thrust in the internal combustionengine.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Jun Zhang, Weidong Liu, Feilong Liu, Zhiqiang Yang, Jinfang Peng, Minhao Zhu
Summary: During a major overhaul of an aeroengine, a cracked stator vane of the low-pressure compressor was discovered, with the crack originating from a corrosion pit located on the arc transition between the leading edge and the upper edge plate. The fracture surface exhibited signs of fatigue cracks, indicating a pit-related fatigue crack. Metallographic examination revealed that most corrosion pits were distributed beneath the bulging or peeling paint layer on the leading edge and the concave side. Identification of the corrosion products showed the presence of sulfate and alumina, suggesting atmospheric corrosion as a likely cause for the cracked stator vane.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Juan Jose Jimenez de Cisneros Fonfria, Ester Olmeda, Susana Sanz, Maria Garrosa, Vicente Diaz
Summary: Energy absorbing devices in vehicles can partially transform impact energy and protect passengers. In this paper, the failure analysis of the underframe crumple zone in a train car was conducted through finite element simulations, showing that the component acted properly after the impact.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Fengqi Zhang, Gang Luo, Haiyang Zhang, Peihong Cong, Lulu Liu, Wei Chen
Summary: In this study, a predictive model for bird strike trajectory was developed based on the quasi-linear viscoelastic model. By combining simulation analysis under multiple conditions, the model reproduced the trajectory change law in low and medium speed bird impact experiments.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
S. M. de Gouveia, L. de Abreu Correa, D. B. Teles, M. Oliveira, T. G. R. Clarke
Summary: Emergency Shutdown Valves (EDSVs) are used in industrial applications to interrupt fluid flow during hazardous events. The damage to the valve seats can be detected by analyzing the pressure and torque data. This study compared three processing options and found that evaluating the complete signature with a Gradient Boosting Classifier algorithm is the most effective strategy.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Xinyan Jin, Kai Wang, Hongwei Qian
Summary: This study investigated the root cause of an abnormal premature groove-clogging failure on a sink roll in a hot-dip galvanizing line. It was found that the failure was caused by the buildup of a large amount of Fe2Al5Znx dross in the grooves, and the key factor was the control of Tstrip.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Zhiqiang Li, Jie Li, Cen Li, Xiaodong Xie, Zhiyong Yang
Summary: In this study, the microstructure evolution of the material in the hot spot area of the high-speed train brake disc was observed and the mechanism of mechanical property degradation was obtained through tensile tests. The research results provide guidance for crack damage identification of the brake disc and condition-based maintenance.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Lijia Luo, Yincheng Wang, Wei Chen, Zuming Zhao, Wenfei Chen, Shiyi Bao
Summary: Tube-to-tube impact wear is a significant factor in the failure of alloy 690 tubes in nuclear steam generators. This paper investigates the wear damage mechanism and detection method of alloy 690 tubes under tube-to-tube impact loads. The results reveal the wear damage mechanism through analysis of macro and micro morphologies as well as metallographic structures. A nonlinear ultrasonic wave mixing method is proposed for damage detection and a detection device is developed to implement this method. Experimental results indicate that the damage mode of tube-to-tube impact wear varies with impact load and cycle number, and the nonlinear modulation index is effective in assessing the damage degree of alloy 690 tubes.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Xing-Ju Yang, Feng Lin, Xu Du, Lu Qiu
Summary: This paper proposes a novel method of improving the progressive collapse resistance of RC frame structures by adding locally debonded kinked steel plates (KPs). Experimental tests and finite element analysis reveal that the addition of KPs significantly enhances the ultimate resistance and deformability of the beam-slab substructures. The mechanism of resistance improvement is explained, and an analytical model is developed for predicting the ultimate resistance of the structures.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Xiaohe Wang, Zengqiang Cao
Summary: This paper presents a dynamic installation (DI) method based on electromagnetic force to reduce damage to composite laminates and improve joint performance. The study shows that DI can effectively decrease installation resistance, reduce severe damage to laminates, and improve stress distribution in the joint.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Jitong Cui, Yingying Kong, Cuiwei Liu, Baoping Cai, Faisal Khan, Yuxing Li
Summary: This paper presents a method for quantifying the failure probability of hydrogen doped pipelines and utilizes Bayesian network for quantitative calculation. The results show that this method can more accurately assess the failure probability of hydrogen doped pipelines and provide a decision basis for preventing failure accidents.
ENGINEERING FAILURE ANALYSIS
(2024)
Article
Engineering, Mechanical
Yiping Jiang, Maoru Chi, Jungang Yang, Liangcheng Dai, Yuchen Xie, Zhaotuan Guo
Summary: This article investigates and simulates the derailment of empty freight trains at the switch section of a turnout in the diverging route, and proposes preventive measures. The results show that the derailment is caused by the combined effect of various factors, and reducing the longitudinal coupler force and the wheel rail friction coefficient can decrease the possibility of derailment. Additionally, installing a guard rail in front of the turnout can effectively prevent derailment.
ENGINEERING FAILURE ANALYSIS
(2024)
