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Keywords: reliability analysis
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101701.
Paper No: MD-23-1304
Published Online: March 5, 2024
...@cqu.edu.cn Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 15 05 2023 11 01 2024 11 01 2024 05 03 2024 Graphical Abstract Figure reliability analysis improved FORM improved SORM improved...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2024, 146(6): 061704.
Paper No: MD-23-1550
Published Online: December 18, 2023
...Gang Li; Yixuan Wang; Yan Zeng; Wanxin He The moment method is commonly used in reliability analysis, in which the maximum entropy method (MEM) and polynomial fitting (PF) have been widely used due to their advantages in accuracy and efficiency, respectively. In this paper, we propose a novel...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. January 2024, 146(1): 011703.
Paper No: MD-23-1221
Published Online: October 11, 2023
...) is first established. The contribution-degree analysis is then used to classify the input random variables into interacting and non-interacting ones. Thus, the high-dimensional integration of reliability analysis is separated into a low-dimensional integration and multiple one-dimensional integrations...
Includes: Supplementary data
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2023, 145(6): 061705.
Paper No: MD-22-1402
Published Online: March 16, 2023
..., a volume minimization RBTO formulation is built for structures considering displacement or compliance reliability constraints. Second, an efficient decoupling scheme is proposed to turn the double-loop RBTO into a series of deterministic topology optimization and reliability analysis. For the reliability...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2023, 145(3): 031702.
Paper No: MD-22-1354
Published Online: October 31, 2022
... Committee of ASME for publication in the J ournal of M echanical D esign . 14 06 2022 01 09 2022 02 09 2022 31 10 2022 reliability-based design optimization (RBDO) reliability analysis sequential sampling surrogate modeling Gaussian process regression (GPR) space...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041702.
Paper No: MD-21-1105
Published Online: November 11, 2021
...Jianhua Yin; Xiaoping Du Reliability analysis is a core element in engineering design and can be performed with physical models (limit-state functions). Reliability analysis becomes computationally expensive when the dimensionality of input random variables is high. This work develops a high...
Includes: Supplementary data
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031701.
Paper No: MD-21-1185
Published Online: September 28, 2021
... engineering. In order to promote the practicability of evidence theory for the reliability evaluation of engineering structures, an efficient reliability analysis method based on the active learning Kriging model is proposed in this study. To start with, a basic variable is selected according to basic...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2021, 143(9): 091701.
Paper No: MD-20-1678
Published Online: February 11, 2021
... model uncertainty in reliability analysis, the confidence of reliability is brought to describe the uncertainty of reliability. The proposed method employs the Gaussian process modeling to explicitly quantify the uncertainty of a surrogate model. Thus, metamodel-based importance sampling and expansion...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. May 2019, 141(5): 051404.
Paper No: MD-18-1618
Published Online: January 11, 2019
...Zhimin Xi Model-based reliability analysis may not be practically useful if reliability estimation contains uncontrollable errors. This paper addresses potential reliability estimation errors from model bias together with model parameters. Given three representative scenarios, reliability analysis...
Journal Articles
Publisher: ASME
Article Type: Special Section: Methods For Uncertainty Computing Either Uncertainty Propagation Or Optimization Under Uncertainty
J. Mech. Des. October 2012, 134(10): 100912.
Published Online: September 28, 2012
...Ikjin Lee; Yoojeong Noh; David Yoo This paper proposes a novel second-order reliability method (SORM) using noncentral or general chi-squared distribution to improve the accuracy of reliability analysis in existing SORM. Conventional SORM contains three types of errors: (1) error due...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2012, 134(6): 061005.
Published Online: April 27, 2012
...Deshun Liu; Yehui Peng In this paper, two second-order methods are proposed for reliability analysis. First, general random variables are transformed to standard normal random variables. Then, the limit-state function is additively decomposed into one-dimensional functions, which are then expanded...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2012, 134(3): 031001.
Published Online: February 18, 2012
...C. Jiang; X. Han; W. X. Li; J. Liu; Z. Zhang Traditional reliability analysis generally uses probability approach to quantify the uncertainty , while it needs a great amount of information to construct precise distributions of the uncertain parameters. In this paper, a new reliability analysis...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2006, 128(6): 1227–1235.
Published Online: January 6, 2006
... analysis sampling methods design engineering failure surface frontier reliability assessment discriminative sampling reliability analysis Conventionally, variation and uncertainties in materials, manufacturing, assembly, field usage, and so on are taken into consideration through safety...