Journal of Zhejiang University SCIENCE A covers research in Applied Physics, Mechanical and Civil Engineering, Environmental Science and Energy, Materials Science and Chemical Engineering, etc.

Recently published articles include: J-integral resistance curve testing and evaluation; Property of critical excitation for moment-resisting frames subjected to horizontal and vertical simultaneous ground motions; Finite particle method for kinematically indeterminate bar assemblies, and more.

  • Covers research in Mechanical and Civil Engineering, Applied Physics, Environmental Science and Energy, Materials Science and Chemical Engineering, Electrical Engineering and Electronics
  • Recently published articles include Multi-frequency proportional-resonant (MFPR) current controller for PWM VSC under unbalanced supply conditions; Modeling of D-STATCOM in distribution systems load flow; and much more

Journal information

  • Huayong Yang,
  • Yun-min CHEN
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

2.263 (2020)
Impact factor
1.912 (2020)
Five year impact factor
55 days
Submission to first decision
130 days
Submission to acceptance
269,135 (2020)

Latest issue

Volume 22

Issue 11, November 2021

Special Issue on Large Deformation Analysis in Geohazards and Geotechnics (Guest Editor-in-Chief: Zhen-yu YIN; Guest Editors: Yin-fu JIN, Xue ZHANG)

Latest articles

This journal has 2 open access articles

Journal updates

  • Call for Papers "SPECIAL ISSUE: Flow control and smart valve"

    The usual metaphor of "throat" indicates the importance of valve in the industrial systems such as petroleum, chemical, metallurgy, aviation, aerospace and other fields. With unceasing seepage by industrial internet, urgent demands including miniaturization, digitalization, multi-functionalization, and systematization have been put forward for valve research. Flow control, especially smart flow control, is one of the key issues involved in valve research area. Most importantly, when the valve is serviced in environment with high temperature and high pressure, or novel fluids such as nanofluids, compressed hydrogen, and superheated steam, the importance of the smart flow control is highly promoted. Therefore, urgent demands on the development of smart valve which equipped with precise parameter feedback, handy remote operation, instant on-line fault diagnosis and failure safe capacity are put forward. Main focuses of this Special Issue are: control valve, smart control, and smart valve.

  • Call for Papers "SPECIAL ISSUE: Large Deformation Analysis in Geohazards and Geotechnics"

    For geohazards and geotechnics, numerous problems involve large deformation, such as installation of foundations, landslides, debris flow, collapses of excavation and tunnel and the formation sinkhole. Benefitted from the sustained development of computing power, numerical simulations have become standard methods in geomechanics and its related fields. Among those numerical methods, the finite element method (FEM) features prominently in engineering practices. For FEM, however, excessive deformation of a mesh can result in numerical inaccuracies, even to the point of making calculation impossible for large deformation problems.

  • Call for Papers "SPECIAL ISSUE: Machine Learning Based Solutions of Partial Differential Equations"

    Partial Differential Equations (PDEs) are fundamental to model different phenomena in science and engineering mathematically. Solving them is a crucial step towards a precise knowledge of the behaviour of natural and engineered systems. In order to solve PDEs that represent real systems to an acceptable degree, analytical methods are usually not enough. One has to resort to discretization methods. For engineering problems, probably the best known option is the Finite Element Method (FEM). However, powerful alternatives such as mesh-ree methods, Isogeometric Analysis (IGA) or Finite Difference Methods (FDM) are also available, just to name a few. A new route to solve PDEs is so called physics-informed neural networks that make use of machine learning based activation functions as approximators. There is great flexibility to define their structure and important advances in the architecture and the efficiency of the algorithms to implement them make such approaches a very interesting alternative to “classical” methods such as FEM.

  • Call for Papers "SPECIAL ISSUE: Noise and Vibration from Transportation"

    The proposed topic on rail transportation noise and vibration covers the broad issue of generation and propagation of sound and ground borne vibration from rail transport. Rail induced vibration has gained more attention in recent years. This Special Issue is partly dedicated, but not limited, to the urban environment, with low speed rail bound transport. In addition, airborne and ground-borne noise from urban light rail transit (LRT) networks is considered a major parameter of possible degradation of the urban acoustic environment.

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