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New Trends in Lifecycle Reliability Engineering
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New Trends in Lifecycle Reliability Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 8481

Special Issue Editors

Prof. Dr. Zhonglai Wang

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: time-varying reliability analysis; reliability-based design optimization (RBDO); robust design; model validation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Liping He

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: uncertainty quantification; system reliability design; sensitivity analysis
Dr. Pengpeng Zhi

E-Mail Website
Guest Editor
Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313000, China
Interests: structural reliability; fatigue reliability; uncertainty quantification; performance modeling and testing
Special Issues, Collections and Topics in MDPI journals
Dr. Yulin Jin

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: non-linear dynamics under uncertainty; performance reconstruction under uncertainty; multidisciplinary time-varying system design

Special Issue Information

Dear Colleagues,

For real-life dynamic and/or vibratory systems, the time-varying and highly nonlinear performance is greatly affected by time-varying loads, operating conditions, and stresses, among others. This brings new challenges in reliability analysis and design for time-varying systems, including the construction of time-varying limit state functions based on physics of failure, time-varying uncertainty quantification, correlation analysis of time-varying uncertainties, and time-varying design optimization algorithms under uncertainty.

This special issue aims to invite authors to submit full-length papers with original theoretical, numerical or experimental research contributions and innovative concepts that address all aspects of reliability analysis and design for time-varying systems. Also, applications in areas such as robotic systems, machine tools, battery systems, and transportation systems are welcome.

Potential topics include, but are not limited to:

  • Uncertainty quantification
  • Time-varying reliability analysis
  • Reliability-based design optimization of time-varying systems
  • Robust design of time-varying systems
  • Model verification and validation
  • Physics-based reliability modeling
  • Design of experiments
  • Performance reconstruction under uncertainty
  • Non-linear dynamics under uncertainty
  • Sensitivity analysis
  • Multi-objective design optimization
  • Computational intelligence assisted design
  • Multidisciplinary time-varying system design
  • Resilience analysis
  • Resilience design
  • System reliability design
  • Topology design optimization

Prof. Dr. Zhonglai Wang
Prof. Dr. Liping He
Dr. Pengpeng Zhi
Dr. Yulin Jin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

19 pages, 6582 KiB  
Article
A Novel Reliability Analysis Approach under Multiple Failure Modes Using an Adaptive MGRP Model
by Pengpeng Zhi, Guoli Yun, Zhonglai Wang, Peijing Shi, Xinkai Guo, Jiang Wu and Zhao Ma
Appl. Sci. 2022, 12(18), 8961; https://doi.org/10.3390/app12188961 - 6 Sep 2022
Cited by 3 | Viewed by 1946
Abstract
In this paper, a novel MRGP-SS method is proposed to deal with the reliability analysis problems under multiple failure modes. First, a random moving quadrilateral grid sampling (RMQGS) method is proposed to improve the randomness and uniformity of initial samples. Second, an adaptive [...] Read more.
In this paper, a novel MRGP-SS method is proposed to deal with the reliability analysis problems under multiple failure modes. First, a random moving quadrilateral grid sampling (RMQGS) method is proposed to improve the randomness and uniformity of initial samples. Second, an adaptive procedure, which combines the multiple response Gaussian process (MRGP) model and the novel active learning functions, is proposed to efficiently and accurately produce surrogate models for failure surfaces. In this regard, two novel learning functions are introduced to adapt to different iterative cycles, one is employed to correct the quality of samples, and the other is used to search for the samples closest to the limit state surface. Third, the subset simulation (SS) is integrated into the adaptive MRGP model to estimate the failure probability under multiple failure modes with fewer function calls and time consumption. Numerical and engineering case studies are finally provided to demonstrate the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue New Trends in Lifecycle Reliability Engineering)
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20 pages, 2490 KiB  
Article
Dynamic Preventive Maintenance Optimization of Subway Vehicle Traction System Considering Stages
by Qi Gong, Li Yang, Yonghua Li and Bin Xue
Appl. Sci. 2022, 12(17), 8617; https://doi.org/10.3390/app12178617 - 28 Aug 2022
Cited by 8 | Viewed by 2607
Abstract
The current maintenance mode of the subway vehicle traction system does not consider the change of failure rate in the operation of components, and there is an unreasonable maintenance interval and high maintenance cost. To solve this problem, a dynamic preventive maintenance strategy [...] Read more.
The current maintenance mode of the subway vehicle traction system does not consider the change of failure rate in the operation of components, and there is an unreasonable maintenance interval and high maintenance cost. To solve this problem, a dynamic preventive maintenance strategy for subway vehicle traction systems considering stages is proposed. Service age decreasing factor and failure rate increasing factor are introduced to build a new dynamic reliability model considering the effect of preventive maintenance on component failure rate. Non-preventive failure maintenance, preventive maintenance, preventive update maintenance and opportunistic maintenance are adopted. For the components in degradation or random failure stages, a preventive maintenance optimization model with the least maintenance cost, constrained by reliability, is established. The maintenance strategy is optimized and solved based on the enumeration method to obtain single-component irregular preventive maintenance intervals and multi-component group preventive maintenance times. The results show that the proposed maintenance models are reasonable and feasible. On the premise of ensuring the system reliability, the number of vehicle outages for maintenance and the maintenance cost are reduced. Feasible and effective maintenance models and methods are provided. They can ensure the reliability of subway vehicles and reduce maintenance costs. The effectiveness and economy of maintenance work is increased. Full article
(This article belongs to the Special Issue New Trends in Lifecycle Reliability Engineering)
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15 pages, 2539 KiB  
Article
A New Method for Fatigue Evaluation of Titanium Alloy Welded Structures
by Zhe Zhang, Yuedong Wang, Chunyang Yu and Qi Dong
Appl. Sci. 2022, 12(12), 5966; https://doi.org/10.3390/app12125966 - 11 Jun 2022
Cited by 3 | Viewed by 2047
Abstract
In this paper, a new fatigue life evaluation method, namely augmented-reverse notch equivalent stress method, is proposed for titanium alloy welded structures with stress singularities. First, a new three-parameter power function model is proposed in this paper, and the notch stress equivalent value [...] Read more.
In this paper, a new fatigue life evaluation method, namely augmented-reverse notch equivalent stress method, is proposed for titanium alloy welded structures with stress singularities. First, a new three-parameter power function model is proposed in this paper, and the notch stress equivalent value method with correction factor is deduced. Combining the two, the theoretical framework of the augmented-reverse notch equivalent stress method is obtained. Within this framework, the fatigue test data of four titanium alloy welded joints with the same grade were used for analysis, and a new three-parameter power function model of titanium alloy welded structure was established. According to the calculation method of the notch equivalent stress correction factor, the correction factor suitable for the titanium alloy welded structure was obtained. Finally, the fatigue test data, different from the above titanium alloy welded structure, are used to verify the augmented-reverse notch equivalent stress method. The verification results show that the augmented-reverse notch equivalent stress method improves the effectiveness and accuracy of fatigue life evaluation and establishes a new life evaluation method for titanium alloy welded structures with stress singularities. Full article
(This article belongs to the Special Issue New Trends in Lifecycle Reliability Engineering)
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