Table of Content

Computer-Aided Structural Integrity and Safety Assessment

Submission Deadline: 30 June 2022 (closed)

Guest Editors

Prof. Shun-Peng Zhu, University of Electronic Science and Technology of China, China
Prof. José A.F.O. Correia, University of Porto, Portugal
Prof. Grzegorz Lesiuk, Wroclaw University of Science and Technology, Poland

Summary

As the demand on the reliability of engineering systems such as aircraft engines, steam turbines, nuclear reactors and high-speed trains increases, computer-aided structural integrity and safety of these systems have been becoming extremely significant. With the help of advanced monitoring/testing techniques and mathematical approaches/tools, currently increasing interests are being paid on new techniques to discover and understand the integrity and safety of engineering systems, from materials to components. Current design of engineering systems aims to operate in extreme loading environments, which need to consider the unexpected ageing related degradations/damaging and integrity.

 

As the advances in the computational methods, structural integrity and safety assessment of engineering systems and their improvement have been feasible through the accurate failure mechanism modeling with the combination of either deterministic or probabilistic analyses by using computer methods, including artificial intelligence, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, intelligent and adaptive systems, knowledge discovery and engineering, machine learning, neural network computing etc. Using model-based and data-driven-based approaches, studies on integrity and performance degradation assessment should be conducted to maximize lifetime and optimize inspection and maintenance policy of engineering systems. Specifically, failure occurs under influences of multi-sources of uncertainty, including load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on structural integrity and safety assessment of engineering systems are desired and expected, which attempts to prevent over-design and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved.

 

The aim would be to establish a common understanding about the state of the field and draw a road map on where the research is heading, highlight the issues and discuss the possible solutions, and provide the data, models and tools necessary to performing statistically safety and integrity assessment by computer methods. It is also available to concerned review/regular articles that will support and stimulate the continuing efforts to understand the research and development of model-based and data-driven-based approaches for structural integrity, safety and field applications. Potential topics include, but are not limited to: 

 

 Artificial intelligence

 Fuzzy logic and genetic algorithms

 Machine learning

 Neural network computing

 Structural integrity

 Structural reliability

 Structural health monitoring

 Computational mechanics

 Structural design methodology

 Prognostics and health management

 Probabilistic Physics of Failure

 Reliability-based design

 Durability and damage tolerance

 Uncertainty quantification and propagation

 Performance degradation modeling and analysis

 Non-destructive testing and evaluation for structural integrity

 Risk analysis and safety of materials and structural mechanics

 Analytical and numerical simulation of materials and structures

 Experimental methods applied to structural integrity



Published Papers


  • Open Access

    ARTICLE

    Dynamic Reliability Evaluation and Life Prediction of Transmission System of Multi-Performance Degraded Wind Turbine

    Rong Yuan, Ruitao Chen, Haiqing Li, Wenke Yang, Xiaoxiao Li
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2331-2347, 2023, DOI:10.32604/cmes.2023.023788
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Wind power is a kind of important green energy. Thus, wind turbines have been widely utilized around the world. Wind turbines are composed of many important components. Among these components, the failure rate of the transmission system is relatively high in wind turbines. It is because the components are subjected to aerodynamic loads for a long time. In addition, its inertial load will result in fatigue fracture, wear and other problems. In this situation, wind turbines have to be repaired at a higher cost. Moreover, the traditional reliability methods are difficult to deal with the above challenges when performing the… More >

  • Open Access

    ARTICLE

    AWK-TIS: An Improved AK-IS Based on Whale Optimization Algorithm and Truncated Importance Sampling for Reliability Analysis

    Qiang Qin, Xiaolei Cao, Shengpeng Zhang
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1457-1480, 2023, DOI:10.32604/cmes.2023.022078
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract In this work, an improved active kriging method based on the AK-IS and truncated importance sampling (TIS) method is proposed to efficiently evaluate structural reliability. The novel method called AWK-TIS is inspired by AK-IS and RBF-GA previously published in the literature. The innovation of the AWK-TIS is that TIS is adopted to lessen the sample pool size significantly, and the whale optimization algorithm (WOA) is employed to acquire the optimal Kriging model and the most probable point (MPP). To verify the performance of the AWK-TIS method for structural reliability, four numerical cases which are utilized as benchmarks in literature and… More >

  • Open Access

    ARTICLE

    Mechanical Dispatch Reliability Prediction for Civil Aircraft Considering Operational Parameters

    Yunwen Feng, Zhicen Song, Cheng Lu
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1925-1942, 2023, DOI:10.32604/cmes.2022.022680
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract To effectively predict the mechanical dispatch reliability (MDR), the artificial neural networks method combined with aircraft operation health status parameters is proposed, which introduces the real civil aircraft operation data for verification, to improve the modeling precision and computing efficiency. Grey relational analysis can identify the degree of correlation between aircraft system health status (such as the unscheduled maintenance event, unit report event, and services number) and dispatch release and screen out the most closely related systems to determine the set of input parameters required for the prediction model. The artificial neural network using radial basis function (RBF) as a… More >

  • Open Access

    ARTICLE

    A Dynamic Maintenance Strategy for Multi-Component Systems Using a Genetic Algorithm

    Dongyan Shi, Hui Ma, Chunlong Ma
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1899-1923, 2023, DOI:10.32604/cmes.2022.022444
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract In multi-component systems, the components are dependent, rather than degenerating independently, leading to changes in maintenance schedules. In this situation, this study proposes a grouping dynamic maintenance strategy. Considering the structure of multi-component systems, the maintenance strategy is determined according to the importance of the components. The strategy can minimize the expected depreciation cost of the system and divide the system into optimal groups that meet economic requirements. First, multi-component models are grouped. Then, a failure probability model of multi-component systems is established. The maintenance parameters in each maintenance cycle are updated according to the failure probability of the components.… More >

    Graphic Abstract

    A Dynamic Maintenance Strategy for Multi-Component Systems Using a Genetic Algorithm

  • Open Access

    ARTICLE

    An Uncertainty Analysis and Reliability-Based Multidisciplinary Design Optimization Method Using Fourth-Moment Saddlepoint Approximation

    Yongqiang Guo, Zhiyuan Lv
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1855-1870, 2023, DOI:10.32604/cmes.2022.022211
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract In uncertainty analysis and reliability-based multidisciplinary design and optimization (RBMDO) of engineering structures, the saddlepoint approximation (SA) method can be utilized to enhance the accuracy and efficiency of reliability evaluation. However, the random variables involved in SA should be easy to handle. Additionally, the corresponding saddlepoint equation should not be complicated. Both of them limit the application of SA for engineering problems. The moment method can construct an approximate cumulative distribution function of the performance function based on the first few statistical moments. However, the traditional moment matching method is not very accurate generally. In order to take advantage of… More >

  • Open Access

    ARTICLE

    Active Kriging-Based Adaptive Importance Sampling for Reliability and Sensitivity Analyses of Stator Blade Regulator

    Hong Zhang, Lukai Song, Guangchen Bai
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1871-1897, 2023, DOI:10.32604/cmes.2022.021880
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract

    The reliability and sensitivity analyses of stator blade regulator usually involve complex characteristics like high-nonlinearity, multi-failure regions, and small failure probability, which brings in unacceptable computing efficiency and accuracy of the current analysis methods. In this case, by fitting the implicit limit state function (LSF) with active Kriging (AK) model and reducing candidate sample pool with adaptive importance sampling (AIS), a novel AK-AIS method is proposed. Herein, the AK model and Markov chain Monte Carlo (MCMC) are first established to identify the most probable failure region(s) (MPFRs), and the adaptive kernel density estimation (AKDE) importance sampling function is constructed to… More >

  • Open Access

    ARTICLE

    Failure Mode and Effects Analysis Based on Z-Numbers and the Graded Mean Integration Representation

    Hanhan Zhang, Zhihui Xu, Hong Qian, Xiaoyan Su
    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1005-1019, 2023, DOI:10.32604/cmes.2022.021898
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Failure mode and effects analysis (FMEA) is a widely used safety assessment method in many fields. Z-number was previously applied in FMEA since it can take both possibility and reliability of information into consideration. However, the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some situations. In this paper, an improved method is proposed based on Z-numbers and the graded mean integration representation (GMIR) to deal with the uncertain information in FMEA. First, Z-numbers are constructed based on the evaluations of risk factors O, S, D for each failure mode by… More >

  • Open Access

    ARTICLE

    Dynamic Meta-Modeling Method to Assess Stochastic Flutter Behavior in Turbomachinery

    Bowei Wang, Wenzhong Tang, Lukai Song, Guangchen Bai
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 171-193, 2022, DOI:10.32604/cmes.2022.021123
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract With increasing design demands of turbomachinery, stochastic flutter behavior has become more prominent and even appears a hazard to reliability and safety. Stochastic flutter assessment is an effective measure to quantify the failure risk and improve aeroelastic stability. However, for complex turbomachinery with multiple dynamic influencing factors (i.e., aeroengine compressor with time-variant loads), the stochastic flutter assessment is hard to be achieved effectively, since large deviations and inefficient computing will be incurred no matter considering influencing factors at a certain instant or the whole time domain. To improve the assessing efficiency and accuracy of stochastic flutter behavior, a dynamic meta-modeling… More >

  • Open Access

    ARTICLE

    RBMDO Using Gaussian Mixture Model-Based Second-Order Mean-Value Saddlepoint Approximation

    Debiao Meng, Shiyuan Yang, Tao Lin, Jiapeng Wang, Hengfei Yang, Zhiyuan Lv
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 553-568, 2022, DOI:10.32604/cmes.2022.020756
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Actual engineering systems will be inevitably affected by uncertain factors. Thus, the Reliability-Based Multidisciplinary Design Optimization (RBMDO) has become a hotspot for recent research and application in complex engineering system design. The Second-Order/First-Order Mean-Value Saddlepoint Approximate (SOMVSA/FOMVSA) are two popular reliability analysis strategies that are widely used in RBMDO. However, the SOMVSA method can only be used efficiently when the distribution of input variables is Gaussian distribution, which significantly limits its application. In this study, the Gaussian Mixture Model-based Second-Order Mean-Value Saddlepoint Approximation (GMM-SOMVSA) is introduced to tackle above problem. It is integrated with the Collaborative Optimization (CO) method to… More >

  • Open Access

    ARTICLE

    Handling Uncertainty in Human Cognitive Reliability Method for Safety Assessment Based on DSET

    Yujun Su, Xianghao Gao, Hong Qian, Xiaoyan Su
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 201-214, 2022, DOI:10.32604/cmes.2022.020541
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Human Reliability Analysis (HRA) is an important part in safety assessment of a large complex system. Human Cognitive Reliability (HCR) model is a method of evaluating the probability that operators fail to complete during diagnostic decision making within a limited time, which is widely used in HRA. In the application of this method, cognitive patterns of humans are required to be considered and classified, and this process often relies on the evaluation opinions of experts which is highly subjective and uncertain. How to effectively express and process this uncertain and subjective information plays a critical role in improving the accuracy… More >

  • Open Access

    ARTICLE

    Modeling and Experimental Study for Automotive Dry Clutch Sliding Noise

    Jiali Yu, Zhili Xiang, Defeng Zhang, Yubing Gong
    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1653-1667, 2022, DOI:10.32604/cmes.2022.019280
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Automotive dry clutches have been found to produce a low frequency sliding noise in many applications, which challenges the ride comfort of vehicles. In order to study this clutch sliding noise, a detailed finite element model including both a pressure plate assembly and a driven plate assembly was developed. Based on this model, a complex eigenvalue analysis is performed in this research. The effect of several major factors on the clutch sliding noise, such as the coefficient of friction, the clamping force, the geometric imperfection of the friction plate, and the thermal deformation of the pressure plate, were investigated numerically.… More >

  • Open Access

    ARTICLE

    Time-Variant Reliability-Based Multi-Objective Fuzzy Design Optimization for Anti-Roll Torsion Bar of EMU

    Pengpeng Zhi, Zhonglai Wang, Bingzhi Chen, Ziqiang Sheng
    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 1001-1022, 2022, DOI:10.32604/cmes.2022.019835
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Although various types of anti-roll torsion bars have been developed to inhibit excessive roll angle of the electric multiple unit (EMU) car body, it is critical to ensure the reliability of structural design due to the complexity of the problems involving time and uncertainties. To address this issue, a multi-objective fuzzy design optimization model is constructed considering time-variant stiffness and strength reliability constraints for the anti-roll torsion bar. A hybrid optimization strategy combining the design of experiment (DoE) sampling and non-linear programming by quadratic lagrangian (NLPQL) is presented to deal with the design optimization model. To characterize the effect of… More >

  • Open Access

    ARTICLE

    Dynamic Fatigue Reliability Analysis of Transmission Gear Considering Failure Dependence

    Yonghua Li, Xiaoning Bai, Shanshan Shi, Shenxuan Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1077-1092, 2022, DOI:10.32604/cmes.2022.018181
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Multiple failure modes and strength degradation are usually inherent in the gear transmission system, which brings new challenges for conducting fatigue reliability analysis and design. This paper proposes a novel dynamic fatigue reliability analysis method for failure dependence and strength degradation based on the combination of the Copula function and Gamma process. Firstly, the dynamic simulation model of the gear transmission system is established to obtain the dynamic stress-time history. The Gamma process is then used to describe the strength degradation to establish the dynamic stress-strength interference model. The marginal distribution functions of tooth contact fatigue and dedendum bending fatigue… More >

  • Open Access

    ARTICLE

    Fault Analysis of Wind Power Rolling Bearing Based on EMD Feature Extraction

    Debiao Meng, Hongtao Wang, Shiyuan Yang, Zhiyuan Lv, Zhengguo Hu, Zihao Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 543-558, 2022, DOI:10.32604/cmes.2022.018123
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract In a wind turbine, the rolling bearing is the critical component. However, it has a high failure rate. Therefore, the failure analysis and fault diagnosis of wind power rolling bearings are very important to ensure the high reliability and safety of wind power equipment. In this study, the failure form and the corresponding reason for the failure are discussed firstly. Then, the natural frequency and the characteristic frequency are analyzed. The Empirical Mode Decomposition (EMD) algorithm is used to extract the characteristics of the vibration signal of the rolling bearing. Moreover, the eigenmode function is obtained and then filtered by… More >

  • Open Access

    ARTICLE

    Fusion Fault Diagnosis Approach to Rolling Bearing with Vibrational and Acoustic Emission Signals

    Junyu Chen, Yunwen Feng, Cheng Lu, Chengwei Fei
    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 1013-1027, 2021, DOI:10.32604/cmes.2021.016980
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract As the key component in aeroengine rotor systems, the health status of rolling bearings directly influences the reliability and safety of aeroengine rotor systems. In order to monitor rolling bearing conditions, a fusion fault diagnosis method, namely empirical mode decomposition (EMD)-Mahalanobis distance (E2MD) and improved wavelet threshold (IWT) (E2MD-IWT) for vibrational signals and acoustic emission (AE) signals is developed to improve the diagnostic accuracy of rolling bearings. The IWT method is proposed with a hard wavelet threshold and a soft wavelet threshold. Moreover, it is shown to be effective through numerical simulation. EMD is utilized to process the original AE… More >

  • Open Access

    ARTICLE

    Novel Kriging-Based Decomposed-Coordinated Approach for Estimating the Clearance Reliability of Assembled Structures

    Da Teng, Yunwen Feng, Cheng Lu, Chengwei Fei, Jiaqi Liu, Xiaofeng Xue
    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 1029-1049, 2021, DOI:10.32604/cmes.2021.016945
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract Turbine blisks are assembled using blades, disks and casings. They can endure complex loads at a high temperature, high pressure and high speed. The safe operation of assembled structures depends on the reliability of each component. Monte Carlo (MC) simulation is commonly used to analyze structural reliability, but this method needs to run thousands of computations. In order to assess the clearance reliability of assembled structures in an efficient and precise manner, the novel Kriging-based decomposed-coordinated (DC) (DCNK) approach is proposed by integrating the DC strategy, the Kriging model and the importance sampling-based Markov chain (MCIS) technique. In this method,… More >

  • Open Access

    ARTICLE

    Reliability Modeling and Evaluation of Complex Multi-State System Based on Bayesian Networks Considering Fuzzy Dynamic of Faults

    Fangjun Zuo, Meiwei Jia, Guang Wen, Huijie Zhang, Pingping Liu
    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 993-1012, 2021, DOI:10.32604/cmes.2021.016870
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract In the traditional reliability evaluation based on the Bayesian method, the failure probability of nodes is usually expressed by the average failure rate within a period of time. Aiming at the shortcomings of traditional Bayesian network reliability evaluation methods, this paper proposes a Bayesian network reliability evaluation method considering dynamics and fuzziness. The fuzzy theory and the dynamic of component failure probability are introduced to construct the dynamic fuzzy set function. Based on the solving characteristics of the dynamic fuzzy set and Bayesian network, the fuzzy dynamic probability and fuzzy dynamic importance degree of the fault state of leaf nodes… More >

  • Open Access

    ARTICLE

    The Effect of Key Design Parameters on the Global Performance of Submerged Floating Tunnel under Target Wave and Earthquake Excitations

    Chungkuk Jin, MooHyun Kim
    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 315-337, 2021, DOI:10.32604/cmes.2021.016494
    (This article belongs to this Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract This study presents a practical design strategy for a large-size Submerged Floating Tunnel (SFT) under different target environments through global-performance simulations. A coupled time-domain simulation model for SFT is established to check hydro-elastic behaviors under the design random wave and earthquake excitations. The tunnel and mooring lines are modeled with a finite-element line model based on a series of lumped masses connected by axial, bending, and torsional springs, and thus the dynamic/structural deformability of the entire SFT is fully considered. The dummy-connection-mass method and constraint boundary conditions are employed to connect the tunnel and mooring lines in a convenient manner.… More >

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