A new numerical technique named interval finite difference method is proposed for the steady-state temperature field prediction with uncertainties in both physical parameters and boundary conditions. Interval variable...A new numerical technique named interval finite difference method is proposed for the steady-state temperature field prediction with uncertainties in both physical parameters and boundary conditions. Interval variables are used to quantitatively describe the uncertain parameters with limited information. Based on different Taylor and Neumann series, two kinds of parameter perturbation methods are presented to approximately yield the ranges of the uncertain temperature field. By comparing the results with traditional Monte Carlo simulation, a numerical example is given to demonstrate the feasibility and effectiveness of the proposed method for solving steady-state heat conduction problem with uncertain-but-bounded parameters.展开更多
Objective:To investigate the golden-time-awareness of and the necessary actions in response to acute myocardial infarction among the general public.Methods:This study was conducted with the use of a descriptive resear...Objective:To investigate the golden-time-awareness of and the necessary actions in response to acute myocardial infarction among the general public.Methods:This study was conducted with the use of a descriptive research design and convenience sampling.A sample of 800 subjects,using self-structured knowledge questionnaires,was selected for data collection and analysis.The study was conducted at Dr.M.G.R.Educational and Research Institute,India,from February to November 2022.Awareness of myocardial infarction symptoms and intervention timeline(the golden time)was investigated.A multivariate logistic regression analysis was performed to identify the demographic factors affecting the recognition of the golden time of acute myocardial infarction.Results:A total of 800 subjects were included.Among the subjects,367(45.8%)were male,433(54.2%)were female,and 443(55.3%)participants failed to recognize the golden time.Our multivariate logistic regression analysis showed that people with a bachelor’s degree(OR=0.41,95%CI:0.23-0.74,P=0.03)and a high school level diploma(OR=0.55,95%CI:0.31-0.97,P=0.03)are more likely to know about myocardial infarction(golden time)than illiterate people.Additionally,people who are employed(OR=0.59,95%CI:0.41-0.85,P=0.05)are more likely to know about myocardial infarction(golden time)than those who are not.Conclusions:The majority of people in the awareness group realize that taking myocardial infarction patients to the hospital would be the best course of action.The unawareness of the ideal treatment window for myocardial infarction may cause a delay in seeking medical attention,which can lead to an increase in mortality and morbidity.展开更多
Discrete element method （DEM） is used to study the factors affecting agglomeration in three-dimensional copper particle systems during solid-state sintering. A new parameter is proposed to characterize agglomeration...Discrete element method （DEM） is used to study the factors affecting agglomeration in three-dimensional copper particle systems during solid-state sintering. A new parameter is proposed to characterize agglomeration. The effects of a series of factors are studied, including particle size, size distribution, inter-particle tangential viscosity, tem- perature, initial density and initial distribution of particles on agglomeration. We find that the systems with smaller particles, broader particle size distribution, smaller viscos- ity, higher sintering temperature and smaller initial density have stronger particle agglomeration and different distribu- tions of particles induce different agglomerations. This study should be very useful for understanding the phenomenon of agglomeration and the micro-structural evolution during sin- tering and guiding sintering routes to avoid detrimental ag- glomeration.展开更多
This work deals with a reliability assessment of springback problem during the sheet metal forming process. The effects of operative parameters and material properties, blank holder force and plastic prestrain, on spr...This work deals with a reliability assessment of springback problem during the sheet metal forming process. The effects of operative parameters and material properties, blank holder force and plastic prestrain, on springback are in- vestigated. A generic reliability approach was developed to control springback. Subsequently, the Monte Carlo simula- tion technique in conjunction with the Latin hypercube sam- pling method was adopted to study the probabilistic spring- back. Finite element method based on implicit/explicit al- gorithms was used to model the springback problem. The proposed constitutive law for sheet metal takes into account the adaptation of plastic parameters of the hardening law for each prestrain level considered. Rackwitz-Fiessler al- gorithm is used to find reliability properties from response surfaces of chosen springback geometrical parameters. The obtained results were analyzed using a multi-state limit reli- ability functions based on geometry compensations.展开更多
基金supported by the National Special Fund for Major Research Instrument Development(2011YQ140145)111 Project (B07009)+1 种基金the National Natural Science Foundation of China(11002013)Defense Industrial Technology Development Program(A2120110001 and B2120110011)
文摘A new numerical technique named interval finite difference method is proposed for the steady-state temperature field prediction with uncertainties in both physical parameters and boundary conditions. Interval variables are used to quantitatively describe the uncertain parameters with limited information. Based on different Taylor and Neumann series, two kinds of parameter perturbation methods are presented to approximately yield the ranges of the uncertain temperature field. By comparing the results with traditional Monte Carlo simulation, a numerical example is given to demonstrate the feasibility and effectiveness of the proposed method for solving steady-state heat conduction problem with uncertain-but-bounded parameters.
文摘Objective:To investigate the golden-time-awareness of and the necessary actions in response to acute myocardial infarction among the general public.Methods:This study was conducted with the use of a descriptive research design and convenience sampling.A sample of 800 subjects,using self-structured knowledge questionnaires,was selected for data collection and analysis.The study was conducted at Dr.M.G.R.Educational and Research Institute,India,from February to November 2022.Awareness of myocardial infarction symptoms and intervention timeline(the golden time)was investigated.A multivariate logistic regression analysis was performed to identify the demographic factors affecting the recognition of the golden time of acute myocardial infarction.Results:A total of 800 subjects were included.Among the subjects,367(45.8%)were male,433(54.2%)were female,and 443(55.3%)participants failed to recognize the golden time.Our multivariate logistic regression analysis showed that people with a bachelor’s degree(OR=0.41,95%CI:0.23-0.74,P=0.03)and a high school level diploma(OR=0.55,95%CI:0.31-0.97,P=0.03)are more likely to know about myocardial infarction(golden time)than illiterate people.Additionally,people who are employed(OR=0.59,95%CI:0.41-0.85,P=0.05)are more likely to know about myocardial infarction(golden time)than those who are not.Conclusions:The majority of people in the awareness group realize that taking myocardial infarction patients to the hospital would be the best course of action.The unawareness of the ideal treatment window for myocardial infarction may cause a delay in seeking medical attention,which can lead to an increase in mortality and morbidity.
基金supported by the National Natural Science Foundation of China (10972220,11125211 and 11021262)973 Project(2012CB937500)
文摘Discrete element method （DEM） is used to study the factors affecting agglomeration in three-dimensional copper particle systems during solid-state sintering. A new parameter is proposed to characterize agglomeration. The effects of a series of factors are studied, including particle size, size distribution, inter-particle tangential viscosity, tem- perature, initial density and initial distribution of particles on agglomeration. We find that the systems with smaller particles, broader particle size distribution, smaller viscos- ity, higher sintering temperature and smaller initial density have stronger particle agglomeration and different distribu- tions of particles induce different agglomerations. This study should be very useful for understanding the phenomenon of agglomeration and the micro-structural evolution during sin- tering and guiding sintering routes to avoid detrimental ag- glomeration.
文摘This work deals with a reliability assessment of springback problem during the sheet metal forming process. The effects of operative parameters and material properties, blank holder force and plastic prestrain, on springback are in- vestigated. A generic reliability approach was developed to control springback. Subsequently, the Monte Carlo simula- tion technique in conjunction with the Latin hypercube sam- pling method was adopted to study the probabilistic spring- back. Finite element method based on implicit/explicit al- gorithms was used to model the springback problem. The proposed constitutive law for sheet metal takes into account the adaptation of plastic parameters of the hardening law for each prestrain level considered. Rackwitz-Fiessler al- gorithm is used to find reliability properties from response surfaces of chosen springback geometrical parameters. The obtained results were analyzed using a multi-state limit reli- ability functions based on geometry compensations.
