Results 1 to 10 of about 1,085 (180)

Global Reliability Sensitivity Analysis Based on Maximum Entropy and 2-Layer Polynomial Chaos Expansion [PDF]

Entropy, 2018
To optimize contributions of uncertain input variables on the statistical parameter of given model, e.g., reliability, global reliability sensitivity analysis (GRSA) provides an appropriate tool to quantify the effects.
Jianyu Zhao, Shengkui Zeng, Jianbin Guo, Shaohua Du   +3 more
doaj   +2 more sources

Best Practices in Developing a Workflow for Uncertainty Quantification for Modeling the Biodegradation of Mg‐Based Implants [PDF]

Advanced Science
Computational models of electrochemical biodegradation of magnesium (Mg)‐based implants are uncertain. To quantify the model uncertainty, iterative evaluations are needed.
Tamadur AlBaraghtheh, Regine Willumeit‐Römer, Berit Zeller‐Plumhoff   +2 more
doaj   +2 more sources

Full-cycle prediction of crack healing in self-healing concrete using generalized polynomial chaos expansion [PDF]

Communications Engineering
The crack healing capacity of self-healing concrete is crucial for enhancing structural durability, especially in aggressive environments where the dynamic progression of healing depth directly influences service life.
Changhao Fu, Weijie Xu, Qiwei Zhan, Cheng Chen, Tong Guo, Xuan Zhang, Benqiang Pang   +6 more
doaj   +2 more sources

Study on precision reliability evaluation method of harmonic drive based on NIPCE considering wear [PDF]

Scientific Reports
A dynamic reliability evaluation method for precision of harmonic drive considering wear is proposed to estimate the precision reliability of harmonic drive precisely for precision degradation failure prediction and proactive maintenance.
Xian Zhang, Changming Zhang, Peng Wang, Chunlei Peng, Fan Yang   +4 more
doaj   +2 more sources

Anisotropy-Based Adaptive Polynomial Chaos Method for Hybrid Uncertainty Quantification and Reliability-Based Design Optimization of Structural-Acoustic System

Mathematics, 2023
The evaluation of objective functions and component reliability in the optimisation of structural-acoustic systems with random and interval variables is computationally expensive, especially when strong nonlinearity exhibits between the response and ...
Shengwen Yin, Yuan Gao, Xiaohan Zhu, Zhonggang Wang   +3 more
doaj   +1 more source

A Novel Sparse Polynomial Expansion Method for Interval and Random Response Analysis of Uncertain Vibro-Acoustic System

Shock and Vibration, 2021
For the vibro-acoustic system with interval and random uncertainties, polynomial chaos expansions have received broad and persistent attention. Nevertheless, the cost of the computation process increases sharply with the increasing number of uncertain ...
Shengwen Yin, Xiaohan Zhu, Xiang Liu
doaj   +1 more source

Probabilistic load margin assessment considering forecast error of wind power generation

Energy Reports, 2023
The increasing integration of wind power in power systems necessitates the probabilistic assessment of various uncertain factors. In operational planning, modeling short-term scale uncertainties, i.e., wind power forecast errors, plays an important role.
Chenxu Wang, Junchao Ma, Yifei Shen, Yan Peng   +3 more
doaj   +1 more source

Polynomial chaos Kalman filter for target tracking applications

IET Radar, Sonar & Navigation, 2023
In this paper, an approximate Gaussian state estimator is developed based on generalised polynomial chaos expansion for target tracking applications. Motivated by the fact that calculating conditional moments in an approximate Gaussian filter involves ...
Kundan Kumar, Ranjeet Kumar Tiwari, Shovan Bhaumik, Paresh Date   +3 more
doaj   +1 more source

Data-driven sparse polynomial chaos expansion for models with dependent inputs

Journal of Safety Science and Resilience, 2023
Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs by decomposing the output in terms of polynomials of the inputs.
Zhanlin Liu, Youngjun Choe
doaj   +1 more source

The method of moments for electromagnetic scattering analysis accelerated by the polynomial chaos expansion in infinite domains

Frontiers in Physics, 2023
An efficient method of moments (MoM) based on polynomial chaos expansion (PCE) is applied to quickly calculate the electromagnetic scattering problems. The triangle basic functions are used to discretize the surface integral equations.
Xiaohui Yuan, Yujing Ma, Yajun Huang, Ruijin Huo, Zhongwang Wang, Zhongwang Wang   +5 more
doaj   +1 more source