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JournalISSN: 1009-3095

Journal of Zhejiang University Science 

Zhejiang University Press
About: Journal of Zhejiang University Science is an academic journal. The journal publishes majorly in the area(s): Finite element method & Nonlinear system. Over the lifetime, 2983 publications have been published receiving 29200 citations.


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Journal ArticleDOI
Hui Qiu1, Lu Lv1, Bingcai Pan1, Qingjian Zhang1, Weiming Zhang1, Quanxing Zhang1 
TL;DR: Several widely-used adsorption kinetic models are reviewed and it is believed that the review is of certain significance and improvement for adsorptive kinetic modeling.
Abstract: Adsorption is one of the most widely applied techniques for environmental remediation. Its kinetics are of great significance to evaluate the performance of a given adsorbent and gain insight into the underlying mechanisms. There are lots of references available concerning adsorption kinetics, and several mathematic models have been developed to describe adsorption reaction and diffusion processes. However, these models were frequently employed to fit the kinetic data in an unsuitable or improper manner. This is mainly because the boundary conditions of the associated models were, to a considerable extent, ignored for data modeling. Here we reviewed several widely-used adsorption kinetic models and paid more attention to their boundary conditions. We believe that the review is of certain significance and improvement for adsorption kinetic modeling.

1,339 citations

Journal ArticleDOI
TL;DR: This review could help those interested in column adsorption to reasonably choose or develop an accurate and convenient model for their study and practical application.
Abstract: Adsorption is one of the widely used processes in the chemical industry environmental application. As compared to mathematical models proposed to describe batch adsorption in terms of isotherm and kinetic behavior, insufficient models are available to describe and predict fixed-bed or column adsorption, though the latter one is the main option in practical application. The present review first provides a brief summary on basic concepts and mathematic models to describe the mass transfer and isotherm behavior of batch adsorption, which dominate the column adsorption behavior in nature. Afterwards, the widely used models developed to predict the breakthrough curve, i.e., the general rate models, linear driving force (LDF) model, wave propagation theory model, constant pattern model, Clark model, Thomas model, Bohart-Adams model, Yoon-Nelson model, Wang model, Wolborska model, and modified dose-response model, are briefly introduced from the mechanism and mathematical viewpoint. Their basic characteristics, including the advantages and inherit shortcomings, are also discussed. This review could help those interested in column adsorption to reasonably choose or develop an accurate and convenient model for their study and practical application.

324 citations

Journal ArticleDOI
TL;DR: This paper presents a simple and efficient clustering algorithm based on the k-means algorithm, which is easy to implement, requiring a simple data structure to keep some information in each iteration to be used in the next iteration.
Abstract: In k-means clustering, we are given a set of n data points in d-dimensional space ℝd and an integer k and the problem is to determine a set of k points in ℝd, called centers, so as to minimize the mean squared distance from each data point to its nearest center. In this paper, we present a simple and efficient clustering algorithm based on the k-means algorithm, which we call enhanced k-means algorithm. This algorithm is easy to implement, requiring a simple data structure to keep some information in each iteration to be used in the next iteration. Our experimental results demonstrated that our scheme can improve the computational speed of the k-means algorithm by the magnitude in the total number of distance calculations and the overall time of computation.

315 citations

Journal ArticleDOI
TL;DR: The computational study showed that the proposed algorithm is a feasible and effective approach for capacitated vehicle routing problem, especially for large scale problems.
Abstract: Capacitated vehicle routing problem (CVRP) is an NP-hard problem. For large-scale problems, it is quite difficult to achieve an optimal solution with traditional optimization methods due to the high computational complexity. A new hybrid ap- proximation algorithm is developed in this work to solve the problem. In the hybrid algorithm, discrete particle swarm optimiza- tion (DPSO) combines global search and local search to search for the optimal results and simulated annealing (SA) uses certain probability to avoid being trapped in a local optimum. The computational study showed that the proposed algorithm is a feasible and effective approach for capacitated vehicle routing problem, especially for large scale problems.

225 citations

Journal ArticleDOI
TL;DR: A critical survey of the various identification methods in use of Trichoderma/Hypocrea and an update on the taxonomy and phylogeny of the 88 taxa that have been confirmed by a combination of morphological, physiological and genetic approaches.
Abstract: Trichoderma/Hypocrea is a genus of soil-borne or wood-decaying fungi containing members important to mankind as producers of industrial enzymes and biocontrol agents against plant pathogens, but also as opportunistic pathogens of immunocompromised humans. Species identification, while essential in view of the controversial properties of taxa of this genus, has been problematic by traditional methods. Here we will present a critical survey of the various identification methods in use. In addition, we will present an update on the taxonomy and phylogeny of the 88 taxa (which occur as 14 holomorphs, 49 teleomorphs and 25 anamorphs in nature) of Trichoderma/Hypocrea that have been confirmed by a combination of morphological, physiological and genetic approaches.

181 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202167
202073
201976
201872
201776
201679