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degradation modeling of degradable copolymers for biomimetic scaffolds

Friction 2020年第3期8卷 594-603页

作者： Taohong ZHANG Yue GAO Lingling ZHU Qingfeng ZENG Ming ZHOU Computer Department School of Computer&Communication EngineeringUniversity of Science and Technology Beijing(USTB)Beijing 100083China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing 100083China State Key Laboratory of Tribology School of Mechanical EngineeringTsinghua UniversityBeijing 100084China

Biomimetic scaffolds provide a suitable growth environment for tissue engineering and demonstrate good potential for application in biomedical ***-sized copolymerized biomimetic scaffolds degrade differently,and the degradation rate is affected by the copolymerization *** study of the degradation property is the foundational research necessary for realizing individualized biomimetic scaffold *** degradation performance of polyesters with different copolymerization ratios has been widely reported;however,the modeling of this performance has been rarely *** this research,the degradation of copolymers was studied with multi-scale modeling,in which the copolymers were dispersed in a cellular manner,the chain break time was simulated,and the chain selection was based on the Monte Carlo(MC)*** probability model of the copolymer's chain break position was established as a//roulette,/model,whose probability values were estimated by the calculation of the potential energy difference at different chain break positions by molecular dynamics that determined the position of chain shear,thereby fully realizing the simulation of the chain micro-break *** diffusion of the oligomers was then calculated using the macro diffusion equation,and the degradation process of the copolymer was simulated by three-scale coupling *** calculation results were in good agreement with the experimental data,demonstrating the effectiveness of the proposed method.

关键词： copolymer for biomimetic scaffolds copolymerization ratio degradation modeling multi-scale model probability model for chain break location

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Bayesian Reliability Assessment and degradation modeling with Calibrations and Random Failure Threshold

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Journal of Shanghai Jiaotong university(Science) 2016年第4期21卷 478-483页

作者：黄金波孔德景崔利荣 School of Management and Economics Beijing Institute of Technology Beijing 100081 China Naval Academy of Armament Beijing 100161 China

A degradation model with a random failure threshold is presented for the assessment of reliability by the Bayesian approach. This model is different from others in that the degradation process is proceeding under pre-specified periodical calibrations. And here a random threshold distribution instead of a constant threshold which is difficult to determine in practice is used. The system reliability is defined as the probability that the degradation signals do not exceed the random threshold. Based on the posterior distribution estimates of degradation performance, two models for Bayesian reliability assessments are presented in terms of the degradation performance and the distribution of random failure threshold. The methods proposed in this paper are very useful and practical for multi-stage system with uncertain failure threshold. This study perfects the degradation modeling approaches and plays an important role in the remaining useful life estimation and maintenance decision making.

关键词： Bayesian method reliability assessment degradation modeling calibrations random failure thresh-old multi-stage system

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degradation modeling research of biodegradable tissue engineering scaffold

Degradation modeling research of biodegradable tissue engine...

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第八届中国功能材料及其应用学术会议

作者： ZHANG Tao-hong XU Shou-gang Zhang De-zheng Aziguli Wulamu School of Computer and Communication Engineering University of Science and Technology Beijing(USTB) Beijing Key Laboratory of Knowledge Engineering for Materials Science

Although the degradation modeling of tissue engineering scaffold is in its initial step,it can direct the design,optimization of scaffold and help the application in medical case of *** paper analyzes the modeling methods and gives the speciality of every model which is put forward by researchers in China and abroad about the degradation of tissue engineering *** models are divided into micro scale,macro scale and two scale models based on the modeling *** recent research is belonging to single scale *** researchers abroad probed to two scale *** future model is prospected in multi scale coupling macro,micro,and meta-macro model.

关键词： biodegradable polymer tissue engineering scaffold degradation degradation modeling

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SEFIDROOD RIVER SUB-WATERSHED-DAM-ESTUARY AND degradation MODEL:A HOLISTIC APPROACH IN IRAN

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Chinese Geographical Science 2003年第4期13卷 328-333页

作者： Forood AZARI DEHKORDI Majid F MAKHDOUM Nobukazu NAKAGOSHI Graduate School for International Development and Cooperation Hiroshima University Higashi Hiroshima739-8529JapanGraduate School for International Development and CooperationHiroshima University Higashi Hiroshima739-8529JapanGraduate School for International Development and CooperationHiroshima University Higashi Hiroshima739-8529Japan

The major concern of this article is to address the shortcoming and outgoing effects of the human activities on the landscape patterns and their consequences in the Sefidrood River watershed in Iran. A flow of data includes three inputs; each of them belongs to one part of three zones of a fluvial system. The three parts of the Sefidrood River fluvial system include Zone 1,a sub-watershed as degradation modeling site,Zone 2,Sefidrood Dam as dam site,and Zone 3,17km away from the Sefidrood River path to the Caspian Sea as ending point site. The degradation model in the Zone 1 provides a suitable mean for decision support system to decrease the human impacts on each small district. The maximum number for degradation coefficient belongs to the small district with the highest physiographic density,relatively cumulative activities,and a lower figure for the habitat vulnerability. The human degradation impact were not limited to the upstream. The investigation to the Sefidrood Dam and ending point of the Sefidrood River depicts that sedimentation continues as a significant visual impact in the Sefidrood Dam reservoir and the estuary.

关键词： degradation modeling sefidrood river watershed sefidrood dam iran

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Prognostics of radiation power degradation lifetime for ultraviolet light-emitting diodes using stochastic data-driven models

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Energy and AI 2021年第2期4卷 91-100页

作者： Jiajie Fan Zhou Jing Yixing Cao Mesfin Seid Ibrahim Min Li Xuejun Fan Guoqi Zhang Institute of Future Lighting Academy for Engineering&TechnologyFudan UniversityShanghai 200433China Shanghai Research Center for Silicon Carbide Power Devices Engineering&Technology Fudan UniversityShanghai 200433China College of Mechanical and Electrical Engineering Hohai UniversityChangzhou 213022China EEMCS Faculty Delft University of TechnologyDelft 2628the Netherlands Changzhou Institute of Technology Research for Solid State Lighting Changzhou 213161China Department of Industrial and System Engineering The Hong Kong Polytechnic UniversityHung HomHong Kong Department of Mechanical Engineering Lamar UniversityBeaumontTX 77710USA

With their advantages of high efficiency,long lifetime,compact size and being free of mercury,ultraviolet light-emitting diodes(UV LEDs)are widely applied in disinfection and purification,photolithography,curing and biomedical ***,it is challenging to assess the reliability of UV LEDs based on the traditional life test or even the accelerated life *** this paper,radiation power degradation modeling is proposed to estimate the lifetime of UV LEDs under both constant stress and step stress degradation *** data-driven predic-tions with both Gamma process and Wiener process methods are implemented,and the degradation mechanisms occurring under different aging conditions are also *** results show that,compared to least squares regression in the IESNA TM-21 industry standard recommended by the Illuminating Engineering Society of North America(IESNA),the proposed stochastic data-driven methods can predict the lifetime with high accuracy and narrow confidence intervals,which confirms that they provide more reliable information than the IESNA TM-21 standard with greater robustness.

关键词： Ultraviolet light-emitting diodes(UV LEDs) degradation modeling Gamma process Wiener process IESNA TM-21

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Prognostics and Remaining Useful Life Prediction of Machinery:Advances,Opportunities,and Challenges

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Journal of Dynamics, Monitoring and Diagnostics 2023年第1期2卷 1-12页

作者： JDMD Editorial Office Nagi Gebraeel Yaguo Lei Naipeng Li Xiaosheng Si Enrico Zio Editorial Office of JDMD Chongqing University of TechnologyChongqingPeople’s Republic of China H.Milton Stewart School of Industrial and Systems Engineering Georgia Institute of TechnologyAtlantaGAUSA Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniversityXi’anPeople’s Republic of China Zhijian Laboratory Rocket Force University of EngineeringXi’anPeople’s Republic of China MINES Paris PSL Research UniversitySophia AntipolisFrance Energy Department Politecnico di MilanoMilanItaly

As the fundamental and key technique to ensure the safe and reliable operation of vital systems,prognostics with an emphasis on the remaining useful life(RUL)prediction has attracted great attention in the last *** this paper,we briefly discuss the general idea and advances of various prognostics and RUL prediction methods for machinery,mainly including data-driven methods,physics-based methods,hybrid methods,*** on the observations fromthe state of the art,we provide comprehensive discussions on the possible opportunities and challenges of prognostics and RUL prediction of machinery so as to steer the future development.

关键词： prognostics remaining useful life data-driven machine learning degradation modeling

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