Article
Engineering, Aerospace
Wanying Yun, Yan Wang
Summary: This paper proposes an efficient Kriging model-based importance sampling method to analyze the failure probability-based parameter global sensitivity index. By utilizing equivalent probability transformation and importance sampling technique, the method efficiently estimates the global sensitivity indices of failure probability in high-dimensional space.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Medicine, Legal
Yingqi Zhou, Chao He, Jiaqiang Li, Jingmin Lin, Liang Wei, Yong Wang
Summary: This study investigates the sensitivity of parameters and analyzes the uncertainty of reconstructed results in traffic accident through uncertainty analysis. A parameter sensitivity analysis method and an efficient uncertainty analysis method based on unscented transformation are proposed. The results show that the presented method has high accuracy and significantly reduces the computational burden.
FORENSIC SCIENCE INTERNATIONAL
(2023)
Article
Statistics & Probability
Lazhi Wang, David E. Jones, Xiao-Li Meng
Summary: Bridge sampling is an effective Monte Carlo method for estimating the ratio of normalizing constants of two probability densities. This article introduces WarpU transformations, which aim to transform multimodal densities into unimodal ones and improve the overlap between them, thereby enhancing the accuracy of the bridge sampling estimator.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2022)
Article
Engineering, Multidisciplinary
Guner Dilsad Er, Mustafa Mert Ankarali
Summary: In this manuscript, a novel method is presented for estimating the stochastic stability characteristics of metastable legged systems using the unscented transformation. By reducing the dimensionality of the system and utilizing the unscented transformation, the method enables efficient assessment of controller performance and analysis of parametric dependencies.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Energy & Fuels
Zhihao Wang, Xingzhen Zhou, Weige Zhang, Bingxiang Sun, Jinkai Shi, Qinhe Huang
Summary: The impact of high-rate discharge and sensitivity analysis of parameter in electrochemical models can help in the design and optimization of high-power lithium-ion batteries.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Multidisciplinary
Jun Gao, Jitao Yao
Summary: This paper introduces a new calculation method for noncentral t-distribution quantiles, which is derived theoretically and fitted numerically. The method not only provides convenience in calculation but also offers higher accuracy and wider application range, meeting the actual needs in engineering.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Engineering, Mechanical
Zhibo Yang, Jiahui Cao, Shuming Wu, Xuefeng Chen
Summary: This research proposes a single probe-based method for identifying vibration parameters of rotating blades, and constructs a high-resolution sampling aliasing frequency distribution using the synchrosqueezing adaptive window length short-time Fourier transform to improve the accuracy of parameter estimation. Moreover, a new fitting model that considers the rotational effect is developed to extract vibration parameters from the distribution.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Tao Zhang, Zhong-rong Lu, Ji-ke Liu, Guang Liu
Summary: This paper presents a new parameter estimation approach for fractional chaotic systems based on stepwise integration and response sensitivity analysis. The approach includes three parts: obtaining the numerical solution of the Grunwald-Letnikov fractional-order equations through numerical discretization, proposing a new stepwise objective function with a unique minimum value, linearizing the nonlinear objective function to reduce solving difficulty, and introducing the trust-region constraint to improve convergence performance. The efficiency and viability of the approach are demonstrated through numerical tests.
NONLINEAR DYNAMICS
(2023)
Article
Engineering, Civil
Morgane Menz, Sylvain Dubreuil, Jerome Morio, Christian Gogu, Nathalie Bartoli, Marie Chiron
Summary: This paper presents a methodology to reduce the computational cost of reliability analysis for engineering problems involving complex numerical models using Gaussian process-based active learning methods. The sensitivity of the failure probability estimator to uncertainties generated by the Gaussian process and sampling strategy is quantified to control the overall error associated with the estimation. The proposed active learning approach aims to improve the estimation of rare event probabilities by reducing the main source of error and stopping when the global variability is sufficiently low, with its performance assessed on several examples.
Article
Engineering, Multidisciplinary
Zeng Meng, Yongsheng Pang, Zhigen Wu, Shanhong Ren, Ali Riza Yildiz
Summary: A maximum volume sampling model is proposed in this study to improve the accuracy and efficiency of reliability computation by constructing an ellipsoid and using an optimization method. The model only computes samples outside the ellipsoid, enhancing computational efficiency, and its validity is verified through multiple examples.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Physics, Multidisciplinary
Tuncer Kaya
Summary: In this work, the order parameter or the average magnetization expressions are obtained for the square and the honeycomb lattices based on a recently obtained magnetization relation. The conjectured form of the three spin correlation function is validated by comparing the obtained relations of this paper with the previously obtained exact results.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Engineering, Multidisciplinary
Xiao-Fei Song, Hao Tang, Yi-Yin Zhang, Shu-Xian Zheng
Summary: This study aims to optimize sampling areas for four surfaces with different surface height ranges to ensure comparability and repeatability in areal texture measurement. Two types of 3D random surfaces were simulated and verified, and the optimal sampling areas were determined based on the analysis of variation coefficients of five typical areal texture parameters. The results show that anisotropic surfaces require larger sampling areas than isotropic surfaces.
Article
Engineering, Marine
Sisi Wang, Lijun Wang, Namkyun Im, Weidong Zhang, Xijin Li
Summary: A real-time parameter identification method based on nonlinear Gaussian filtering algorithm and nonlinear ship response model is proposed to improve system identification accuracy and reduce computational complexity.
Article
Engineering, Environmental
Jing Peng, Hucheng Zhao, Zihang Luo, Jie Ouyang, Lei Yu
Summary: This study proposes a new correlation analysis approach to investigate the sensitivity of urban flood model parameters. The results show that Manning-N is the most sensitive parameter, with a strong linear correlation with flood depth, hour of maximum flooding, and time to peak. Conductivity and N-perv are also found to be sensitive parameters.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Mohammad Abujubbeh, Balasubramaniam Natarajan
Summary: This paper provides a comprehensive overview of the state of the art in loss sensitivity analysis (LSA) for modern distribution systems (MDSs). It summarizes the theoretical formulations of existing LSA methods, highlights the applications of LSA in distribution systems, and discusses open research gaps and future research directions.
Article
Chemistry, Physical
Congda Lu, Fengye Shi, Jing Jin, Xiang Peng
Article
Chemistry, Physical
Lihua Liang, Wei Wang, Junjun Chen, Kunpeng Jiang, Yufeng Sheng, Xiang Peng, Aiping Liu, Huaping Wu
Article
Engineering, Multidisciplinary
Xiang Peng, Yuliang Guo, Chan Qiu, Huaping Wu, Jiquan Li, Guohai Chen, Shaofei Jiang, Zhenyu Liu
Summary: This study introduces a novel reliability optimization design methodology for composite laminated plates, which involves calculating uncertain parameters of elastic material and evaluating reliability indices to determine the optimum stacking sequence.
ENGINEERING OPTIMIZATION
(2021)
Article
Energy & Fuels
Xiang Peng, Denghong Li, Jiquan Li, Shaofei Jiang, Qilong Gao
Article
Materials Science, Multidisciplinary
Xiang Peng, Tong Ye, Jiquan Li, Huaping Wu, Shaofei Jiang, Guohai Chen
Summary: This paper proposes a multi-scale uncertainty quantification framework for composite laminated plates, which utilizes data-driven Polynomial Chaos Expansion model to achieve high accuracy and computational superiority in various conditions.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2021)
Article
Chemistry, Multidisciplinary
Xiang Peng, Qilong Gao, Jiquan Li, Zhenyu Liu, Bing Yi, Shaofei Jiang
APPLIED SCIENCES-BASEL
(2020)
Article
Green & Sustainable Science & Technology
Liting Jing, Qingqing Xu, Tao Sun, Xiang Peng, Jiquan Li, Fei Gao, Shaofei Jiang
Article
Chemistry, Multidisciplinary
Guohai Chen, Tong Wang, Congda Lu, Yuanshan Yang, Lin Li, Zichao Yin, Xiang Peng
Summary: The paper proposes a methodology for representing the uncertainty of natural frequency for laminated composite cylindrical shells considering both probabilistic and interval variables. By converting input interval variables into probabilistic density functions and using an adaptive Kriging surrogate model, the natural frequency of the shells can be accurately represented, reducing calculation errors and demonstrating the effectiveness of the proposed method.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Yufeng Lyu, Zhenyu Liu, Xiang Peng, Jianrong Tan, Chan Qiu
Summary: In this study, a unified reliability measure method is proposed to consider uncertainties of input variables and their distribution parameters simultaneously, using evidence theory and Gaussian interpolation algorithm to construct probability density functions of uncertain distribution parameters of epistemic uncertainties, and representing epistemic uncertainties using a weighted sum. The effectiveness of this method has been demonstrated in engineering examples through comparison with the Monte Carlo method.
APPLIED SCIENCES-BASEL
(2021)
Article
Polymer Science
Jiquan Li, Jie Bei, Wenyong Liu, Xinxin Xia, Bida Zhou, Xiang Peng, Shaofei Jiang
Summary: The paper proposes a prediction method for warpage in injection-molded parts, establishing multi-layer models using classical laminated plate theory and incorporating a model for temperature and crystallinity influence on elastic modulus. By comparing prediction results with experimental data, it is shown that the average errors between predicted and experimental warpage are relatively small.
Article
Polymer Science
Jiquan Li, Wenyong Liu, Xinxin Xia, Hangchao Zhou, Liting Jing, Xiang Peng, Shaofei Jiang
Summary: The study introduced external gas-assisted injection molding (EGAIM) to reduce burn marks on injection-molded parts, with results showing that burn marks can be effectively eliminated by EGAIM, and the gas delay time is the most critical gas parameter affecting the severity of burn marks.
Article
Engineering, Mechanical
Xiang Peng, Tong Ye, Weifei Hu, Jiquan Li, Zhenyu Liu, Shaofei Jiang
Summary: This study presents a failure probability estimation method under the conditions of uncertain input variables and their uncertain distribution parameters. By developing an adaptive Kriging model and using an improved U-learning function and stopping criteria, the computational efficiency and convergence performance can be improved. The results of numerical and engineering examples demonstrate that the proposed method can obtain accurate failure probabilities with fewer sampling points.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Polymer Science
Shaofei Jiang, Yuansong Zhang, Haowei Ma, Xiaoqiang Zha, Xiang Peng, Jiquan Li, Chunfu Lu
Summary: This study experimentally investigated the replication uniformity of microstructures and found that the cavity thickness and process parameters have significant influence on the uniformity. The experimental results provide important data on how to improve the replication uniformity of parts with microstructure arrays.
Article
Engineering, Manufacturing
Ali Mohammed Adam Jamea, Liting Jing, Xiang Peng, Jiquan Li, Shaofei Jiang
Summary: Customers have varying preferences due to their different environmental and social habits backgrounds. Adapting to these diversity requirements is a challenge, but can be addressed by analyzing customer information, classifying them, and determining engineering specifications that satisfy their requirements. The satisfaction of engineering specifications is compared to targets to assess the need for further development or modification.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
