Changsha, China

Changsha University of Science and Technology is located in Changsha, a historic and cultural city in Hunan province, central south of China. The university is one of the largest in China, and it is a key provincial university of Hunan province.Changsha University of Science & Technology is an engineering-centered multidisciplinary university integrating engineering, science, management, economics, liberal arts and law, with strong disciplinary advantages and prominent features in the industries of communications, electric power and water conservancy. The university is jointly established by the Central Government and Hunan Provincial Government, mainly under the administration of Hunan Province.The university is located on Jinpenling and Yuntang Campuses, with an area of 210.56 hectares and a total floor space of 1173000 square meters. The university has a collection of more than 3,628,700 books and a Gigabit Backbone Networking system. The multimedia classrooms and language laboratories can seat 16,642students.The university has 17 schools and departments, with 1 post-doctoral workstation, 3 discipline and 15 sub-disciplines for doctoral degrees, 18 disciplines and 104 sub-disciplines for master’s degrees.It is also accredited to confer the following professional degrees:Master of Engineering, Master of Business Administration, Master of Accounting, Master of Evaluation, Master of Applied Statistics, Master of Engineering Management and Master of Translation and Interpreting. It has 7 key disciplines at provincial or ministerial level, 21 key specialties at provincial level. The university also establishes 13 key laboratories at provincial or ministerial level, 7 research bases of Philosophy and Social science at provincial level, 6 demonstration laboratories for basic courses at provincial level, 20 excellent Bases for Educational Practices at provincial level. Many laboratories lie on the campus, with The Linear Track Test Center possessing the longest-linear track system in Asia.The university is staffed with 1,888 full-time teachers, among whom are 302 professors, 3 academicians of Chinese Academy of Engineering in concurrent posts, 1 entitled as the State young and middle-aged expert with outstanding contribution, 1 selected as candidate of the first and second level of the “National Hundred, Thousand, and Ten Thousand Talents Project”, 3 selected as candidates of the first national level of the “New Century National Hundred, Thousand, and Ten Thousand Talents Project”, and 7 with the “Program for New Century Excellent Talents in University” of the Ministry of Education.The university recruits students from 31 municipalities, provinces and autonomous regions. The graduate employment rate has kept at more than 95% for consecutive years, topping Hunan Province. The university is accredited to enroll international students and students from Hong Kong, Macau and Taiwan, and has established cooperation and exchange programs with many universities and scientific institutes from the USA, UK, France, Russia, Canada, South Korea, Japan and Australia. The university also cooperates with Xinjiang Autonomous Region in training senior engineering talents of the minority ethics, and jointly train students of national defense with the Air Force of the People’s Liberation Army of China. Wikipedia.


Time filter

Source Type

Liang B.,Changsha University of Science and Technology | Liu Y.,Changsha University of Science and Technology | Xu Y.,University of Maryland University College
Journal of Power Sources | Year: 2014

Silicon (Si)-based materials have the highest capacity among the investigated anode materials and have been recognized as one of the most promising materials for lithium-ion batteries. However, it is still a significant challenge to obtain good performance for practical applications due to the huge volume change during the electrochemical process. To date, the most successful strategy is to introduce other components into Si to form composite or alloy materials. In this review, the recent progress in Si-based materials utilized in lithium-ion batteries is reviewed in terms of composite systems, nano-structure designs, material synthesis methods, and electrochemical performances. The merits and disadvantages of different Si-based materials, the understanding of the mechanisms behind the performance enhancement as well as the challenges faced in Si anodes are also discussed. We are trying to present a full scope of the Si-based materials, and help understand and design future structures of Si anodes in lithium-ion batteries. © 2014 Elsevier B.V. All rights reserved.


He W.,Changsha University of Science and Technology
International Journal of Geomechanics | Year: 2012

Meshfree method is one of the numerical methods that typically use higher-order approximate functions and a weighted-residual approach to formulate the shape functions that are independent of the grids. In this paper, a series of computational modeling were conducted using the meshfree local Petrov-Galerkin (MLPG) method to evaluate the bearing capacity and response behavior of extended-length piles. The computational program codes and boundary conditions were generated based on the elastic-plastic behavior of the surrounding soil, reinforcements, and the noncontinuous interfaces between the piles and the soil. Compared to the traditional finite-element method (FEM), the MLPG exhibited higher accuracy in the results and indicated that the optimal length of the pile is directly related to the stiffness of the soil, i.e., the stiffer the soil, the longer the allowable pile length. Overall, the MLPG meshfree method was found to be a reliable and potentially promising numerical method for studying the bearing behavior of pile foundations. © 2012 American Society of Civil Engineers.


Fu T.,Changsha University of Science and Technology
Electrochimica Acta | Year: 2013

Low-cost sensors based on CuS-CuO nanoparticles were fabricated in spray technology and were used as gas sensors for H2S and NH3. The devices had good responses to H2S and NH3 at room temperature. The sensor based on CuS prepared with H2S at 323 K and CuS to CuO molar ratio of 1:15 had the highest response value 3139 to 1.88% H2S at operating voltage 8 V. The sensor based on CuS prepared with H2S at room temperature and CuS to CuO molar ratio of 1:20 showed a good linear response to H2S gas from 0.85 to 4.25% at 2 V operating voltage. The sensor based on CuS prepared with H2S at room temperature and CuS to CuO molar ratio of 1:20 had the highest response value 218 to 9.88% NH3 at operating voltage 2 V. The linearity interval of the sensor response to NH3 gas was from 2.88 to 9.88% at 2 V operating voltage. No response to NO2, SO2, water vapor and organic solvent vapors was observed. The response and recovery times were satisfactory. Temperature and operating voltage significantly affected the response of the sensors to H2S and NH3. © 2013 Elsevier Ltd. All rights reserved.


Jiang R.,Changsha University of Science and Technology
Reliability Engineering and System Safety | Year: 2013

The failure rate with a bathtub shape usually increases very fast in the wear-out phase. In this case, the bathtub curve model with a finite support can better adapt the sharp change in failure rate. There are few models with the finite support. This paper presents such a model. However, the maximum likelihood estimator of the location parameter of such models sometimes converges to the largest observation of a dataset. An extended maximum spacing method is developed to estimate the parameters for the case where the maximum likelihood method fails. Three examples are included to illustrate the appropriateness of the proposed model and estimation method. © 2013 Elsevier Ltd. All rights reserved.


Fu T.,Changsha University of Science and Technology
Electrochimica Acta | Year: 2014

A novel ammonia sensor was fabricated based on silver sulfide film and its responses to seventeen gases were investigated. The sensor showed high response to NH3 at room temperature. The most sensitive sensor to NH 3 was the sensor based on Ag2S prepared with H 2S at 323 K. The response value reached 297 to 7.08% of NH 3 at 2 V operating voltage. The linearity of the response in the NH3 gas concentration range from 0.084 to 6.08% at 5 V operating voltage suggests the sensor can be reliably used to monitor the concentration of NH3 gas in this range. The sensor for determination of unknown concentration of ammonia real sample had good consistency with the traditional Nessler's reagent spectrophotometry. © 2014 Elsevier Ltd.


Chen Y.,Changsha University of Science and Technology
Physical Review C - Nuclear Physics | Year: 2014

I have proposed two parameter sets, NLD1 and NLD2, for the Lagrangian with nonlinear derivative couplings in the relativistic mean-field theory. Properties of nuclear matter and finite nuclei are explored. It is shown that this Lagrangian model can lead to a softening of the equation of state and symmetry energy at high densities. Two trends for the high-density behavior of symmetry energy are obtained with NLD1 and NLD2. These two sets also give a much less repulsive Schrödinger equivalent optical potential at high nucleon energies compared to standard relativistic mean-field models and reproduce the experimental data very well. The study also shows that a good description of ground-state properties of nuclei is achieved with this Lagrangian. © 2014 American Physical Society.


Fu T.,Changsha University of Science and Technology
Materials Research Bulletin | Year: 2013

The sensors based on the semiconductor CdS nanoparticles were fabricated in spray technology. The properties of the sensors response to SO2, H2S, NH3, NO2, water vapor and some organic solvent vapors were studied systematically. The sensors exhibited a good response to SO2, H2S and NH3 at room temperature. The sensor based on CdS prepared with Na2S at 353 K displayed a linear response to NH3 from 0.3 to 6.0% and to SO 2 from 0.5 to 1.7%. The sensor based on CdS prepared with H 2S at 353 K displayed a linear response to NH3 from 0.08 to 1.1% and to SO2 from 0.25 to 1.5%. All the sensor response and recovery times were less than 54 s and 70 s respectively. Temperature and operating voltage significantly affected the response of the sensor. © 2013 Elsevier Ltd.


Jiang R.,Changsha University of Science and Technology
Reliability Engineering and System Safety | Year: 2010

An item is subject to gradual degradation. The degradation can be represented by a measurable, non-negative and non-decreasing quantity. The item can be in one of three different states: normal (when the degradation quantity is smaller than a threshold of alarm or potential failure), functional failure (when the degradation quantity is larger than a functional failure threshold) and in-between or potential failure (when the degradation quantity is larger than the alarm threshold and smaller than the functional failure threshold). A sequential inspection scheme is implemented to determine the state of the item so as to prevent a functional failure. The paper presents a flexible degradation model and two cost models to optimize the alarm threshold and the sequential inspection scheme. The usefulness and appropriateness of the proposed models are illustrated by examples. © 2009 Elsevier Ltd. All rights reserved.


Jiang R.,Changsha University of Science and Technology
Reliability Engineering and System Safety | Year: 2010

This paper proposes a simple approximation for the renewal function of a failure distribution with an (equivalently) increasing failure rate. The approximation is a linear combination of the cumulative distribution and hazard functions, and the coefficients are functions of the shape parameter of the distribution. The approximation is applied to the Weibull, gamma and lognormal distributions, and it is shown that the approximation is accurate for t up to a certain value of larger than the characteristic life. The approximation is useful for maintenance policy analysis and optimization where the renewal function needs to be evaluated. © 2010 Elsevier Ltd. All rights reserved.


Jiang R.,Changsha University of Science and Technology
Reliability Engineering and System Safety | Year: 2010

Failure data are often modeled using continuous distributions. However, a discrete distribution can be appropriate for modeling interval or grouped data. When failure data come from a complex system, a simple discrete model can be inappropriate for modeling such data. This paper presents two types of discrete distributions. One is formed by exponentiating an underlying distribution, and the other is a two-fold competing risk model. The paper focuses on two special distributions: (a) exponentiated Poisson distribution and (b) competing risk model involving a geometric distribution and an exponentiated Poisson distribution. The competing risk model has a decreasing-followed-by-unimodal mass function and a bathtub-shaped failure rate. Five classical data sets on bus-motor failures can be simultaneously and appropriately fitted by a general 5-parameter competing risk model with the parameters being functions of the number of successive failures. The lifetime and aging characteristics of the fitted distribution are analyzed. © 2010 Elsevier Ltd. All rights reserved.

Loading Changsha University of Science and Technology collaborators
Loading Changsha University of Science and Technology collaborators