云南高校图书馆联盟文献共享服务平台- RELIABILITY

RELIABILITY_ANALYSIS: 作品数：329被引量：694H指数：12; 导出分析报告; 相关作者：郭秩维白广忱李为吉范辉陈力更多>>; 相关机构：清华大学西北工业大学北京航空航天大学成都理工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划国家教育部博士点基金更多>>

SL-COA:Hybrid Efficient and Enhanced Coati Optimization Algorithm for Structural Reliability Analysis: 《Computer Modeling in Engineering & Sciences》2025年第4期767-808,共42页Yunhan Ling Huajun Peng Yiqing Shi Chao Xu Jingzhen Yan Jingjing Wang Hui Ma; funded by the National Key Research and Development Program(Grant No.2022YFB3706904).; Thetraditional first-order reliability method(FORM)often encounters challengeswith non-convergence of results or excessive calculation when analyzing complex engineering problems.To improve the global convergence spee...; 关键词：Hybrid reliability analysis single-loop interactive hybrid analysis most probability point metaheuristic algorithms coati optimization algorithm

Reliability Analysis of a 2D Model of a Solar Still Developed Using Comsol® Multiphysics: 《Open Journal of Modelling and Simulation》2025年第1期20-50,共31页Manampy Randrianantenaina Tsiry Angelos Andriamanampisoa Mino Patricia Randrianarison Karl Zimmermann Harry Chaplin Edouard Andrianarison; Solar stills represent a promising solution for desalinating saline waters, providing a sustainable alternative in regions with limited access to drinking water. This study evaluates the reliability of a two-dimension...; 关键词：Solar Desalination Passive Cascade Solar Still Distilled Water Production Pano Rano

A decoupled method for time-dependent reliability-based design optimization: 《Science China(Technological Sciences)》2025年第1期308-320,共13页Dequan ZHANG Meide YANG Xu HAN; supported by the National Science Foundation for Excellent Young Scholars(Grant No.52422507);the National Natural Science Foundation of China(Grant Nos.52305256,52275244);Postdoctoral Fellowship Program of CPSF(Grant No.GZC20230661);China Postdoctoral Science Foundation(Grant Nos.2024T170211,2023M740970)。; Time-dependent reliability-based design optimization(TRBDO)has received extensive attention because of its ability to achieve optimal solutions that help meet the requirement for whole lifecycle reliability by quantit...; 关键词：reliability-based design optimization dynamic uncertainties time-dependent reliability analysis decoupled method sequential optimization and reliability analysis

A reliability analysis framework coupled with statistical uncertainty characterization for geotechnical engineering: 《Geoscience Frontiers》2024年第6期336-347,共12页Liang Han Wengang Zhang Lin Wang Jia Fu Liang Xu Yu Wang; supported by National Natural Science Foundation of China(No.52078086);Natural Science Foundation,Chongqing(No.CSTB2022NSCQ-LZX0001);NationalEngineering Research Center of Gas Hydrate Exploration and Development(No.NERCY[202406]);Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011375);Innovative Projects of Universities in Guangdong(No.2022KTSCX208).; Reliability analysis plays an important role in the risk management of geotechnical engineering.For the random field-based method,it is expected that the uncertainty characterization of geo-material parameters and the...; 关键词：Reliability analysis Statistical uncertainty Bayesian inference Conditional random field Geotechnical engineering

Electrification of urban road traffic:a reliability analysis of traction power supply for electric road systems: 《Transportation Safety and Environment》2024年第4期21-30,共10页Wei Zuo Kang Li; funded by the China Scholarship Council,which sponsored Wei Zuo’s PhD study at the University of Leeds。; The electric road system(ERS)is an emerging technology to support decarbonization of heavy goods vehicles.The reliability of the traction power supply system(TPSS)for an electric road is a key consideration in ERS pla...; 关键词：electric road system failure mode and effect analysis fault tree model traction power supplies ERS support system reliability evaluation

Time-dependent reliability analysis of aerospace electromagnetic relay considering hybrid uncertainties quantification of probabilistic and interval variables: 《Chinese Journal of Aeronautics》2024年第12期99-115,共17页Fabin MEI Hao CHEN Wenying YANG Xuerong YE Guofu ZHAI; supported by the National Natural Science Foundation of China(No.52277141).; Reliability is a crucial metric in aerospace engineering.The results of reliability assessments for components like aerospace electromagnetic relays directly impact the development and operational reliability of aeros...; 关键词：Hybrid Uncertainty analysis Time series Reliability analysis DEGRADATION ELECTROMAGNETIC RELAY

A novel reliability analysis method for engineering problems:Expanded learning intelligent back propagation neural network: 《Chinese Journal of Aeronautics》2024年第12期212-230,共19页Ying HUANG Jianguo ZHANG Xiaoduo FAN Qi GONG Lukai SONG; co-supported by the National Key R&D Program of China(No.2021YFB1715000);the National Natural Science Foundation of China(No.52105136);the Hong Kong Scholars Program,China(No.XJ2022013).; Estimating the failure probability of highly reliable structures in practice engineering,such as aeronautical components,is challenging because of the strong-coupling and the small failure probability traits.In this p...; 关键词：Reliability analysis Back propagation neural network Adaptive metamodel Variance expansion Small failure probability Strong-coupling

Augmented line sampling and combination algorithm for imprecise time-variant reliability analysis: 《Chinese Journal of Aeronautics》2024年第12期258-274,共17页Xiukai YUAN Weiming ZHENG Yunfei SHU Yiwei DONG; The Aeronautical Science Foundation of China(Nos.20170968002,20230003068002);The National Major Science and Technology Projects of China(Nos.J2019-II-0022-0043,J2019-VII-0013-0153).; Assessment of imprecise time-variant reliability in engineering is a critical task when accounting for both the variability of structural properties and loads over time and the presence of uncertainties involved in th...; 关键词：Time-variant reliability Imprecise reliability Line sampling Adaptive strategy Combination algorithm

Surrogate model uncertainty quantification for active learning reliability analysis: 《Chinese Journal of Aeronautics》2024年第12期55-70,共16页Yong PANG Shuai ZHANG Pengwei LIANG Muchen WANG Zhuangzhuang GONG Xueguan SONG Ziyun KAN; supported by the National Key Research and Development Program of China(No.2023YFB3406900);the National Natural Science Foundation of China(No.52075068).; Surrogate models offer an efficient approach to tackle the computationally intensive evaluation of performance functions in reliability analysis.Nevertheless,the approximations inherent in surrogate models necessitate...; 关键词：Reliability analysis Kriging model Uncertainty quantification Active learning Monte Carlo simulation

Efficient reliability analysis via a nonlinear autoregressive multi-fidelity surrogate model and active learning: 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2024年第11期922-937,共16页Yifan LI Yongyong XIANG Luojie SHI Baisong PAN; supported by the Major Projects of Zhejiang Provincial Natural Science Foundation of China(No.LD22E050009);the National Natural Science Foundation of China(No.51475425);the College Student’s Science and Technology Innovation Project of Zhejiang Province(No.2022R403B060),China.; For complex engineering problems,multi-fidelity modeling has been used to achieve efficient reliability analysis by leveraging multiple information sources.However,most methods require nested training samples to captu...; 关键词：Reliability analysis Multi-fidelity surrogate model Active learning NONLINEARITY Residual model

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

RELIABILITY_ANALYSIS

检索结果分析

下载全文

高级检索检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

RELIABILITY_ANALYSIS

检索结果分析

下载全文

用户登录

高级检索检索式检索