Zhao Jing


http://teacher.nwpu.edu.cn/en/jing

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The basic information

Zhao Jing

School of Aeronautics

Postgraduate

Doctor

Associate Professor

jingzhao@nwpu.edu.cn

Work Experience

2017.01 - 2019.07, Postdoctoral (assistant researcher), Department of mechanics, School of civil engineering and mechanics, Huazhong University of Science and Technology

2019.07 - Present, Associate Professor, School of Aeronautics, Northwestern Polytechnical University

Education Experience

2007.09 - 2011.06, Bachelor, School of Aeronautics, Northwestern Polytechnical University

2011.09 - 2016.12, PhD, School of Aeronautics, Northwestern Polytechnical University

2015.03 - 2016.03, Joint PhD, Wolfson School of Mechanical & Manufacturing Engineering, Loughborough University

Scientific Research

      Committed to developing the theory and algorithm for structural design optimization of laminated composite materials. In recent years, based on the mechanics of composite materials, a number of optimization algorithms have been successfully developed for the design of composite structures, and complex engineering constraints have been considered in the design. The developed optimization algorithm is especially suitable for the optimization design of large-scale laminated composite structures (wing and fuselage, etc.) in aircraft. The main research interests include:


       1. Composite Structures


       2. Mechanics of Composite Material 


       3. Plate and shell structure


       4. Optimal design of aircraft structures


       5. Structural reliability


       6. Optimization algorithms


Academic Achievements

2020  

1. Jing Z*Semi-analytical Optimal Solution for Maximum Buckling Load of Simply Supported Orthotropic Plates. International Journal of Mechanical Sciences. 2020; 187: 105930. https://doi.org/10.1016/j.ijmecsci.2020.105930

2. Jing Z*, Sun Q, Zhang Y, Liang Ke. Stacking sequence optimization for maximum buckling load of simply supported orthotropic plates by enhanced permutation search algorithm. Engineering Optimization, 2020: 1-20.  https://doi.org/10.1080/0305215X.2020.1818736


2019    

1. Jing Z*, Sun Q, Liang K, Chen JQ. Closed-form critical buckling load of simply supported orthotropic plates and verification. International Journal of Structural Stability and Dynamics.  2019; 19(12):1950157. https://doi.org/10.1142/S0219455419501578

2. Jing Z*, Chen JQ. An investigation on design of signs in composite laminates to control bending-twisting coupling effects using sign optimization algorithm. Structural and Multidisciplinary Optimization. 2019; 60(5): 2131-2156  https://doi.org/10.1007/s00158-019-02315-6

3. Jing Z*, Chen JQ, Sun Q. Constrained-manufacturable stacking sequence design optimization using an improved global shared-layer blending method and its 98-line Matlab code. Structural and Multidisciplinary Optimization. 2019; 59(2): 539-575. https://doi.org/10.1007/s00158-018-2083-3

4. Jing Z*, Chen JQ, Li X. RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis. Reliability Engineering & System Safety. 2019; 189: 42-57. https://doi.org/10.1016/j.ress.2019.03.005

5. Zhong JF, Zheng YC, Chen JQ, Jing Z. Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model. Acta Mechanica Sinica. 2019; 35: 201-211.  https://doi.org/10.1007/s10409-018-0791-y


2018

1. Jing Z*, Sun Q, Chen JQ, Silberschmidt V.V. A framework for design and optimization of tapered composite structures Part II: Enhanced design framework with a global blending model. Composite Structures. 2018; 188: 531-552.  https://doi.org/10.1016/j.compstruct.2017.11.062

2. Li X, Gong CL, Gu LX, Jing Z, Fang H, Gao RC. A reliability-based optimization method using sequential surrogate model and Monte Carlo simulation. Structural and Multidisciplinary Optimization. 2018; 59(2): 1-22. https://doi.org/10.1007/s00158-018-2075-3

3. Li X, Gong CL, Gu LX, Gao WK, Jing Z*. Su H. A sequential surrogate method for reliability analysis based on radial basis function. Structural Safety. 2018; 73: 42-53. https://doi.org/10.1016/j.strusafe.2018.02.005

4. Chen JQ, Zhang XS, Jing Z. A cooperative PSO-DP approach for the maintenance planning and RBDO of deteriorating structures. Structural and Multidisciplinary Optimization. 2018; 58: 95-113. https://doi.org/10.1007/s00158-017-1879-x


2017

1. Li X, Gao W, Gu LX, Gong CL, Jing Z, Su H. A cooperative radial basis function method for variable-fidelity surrogate modeling. Structural and Multidisciplinary Optimization. 2017, 56(5):1077-1092.  https://doi.org/10.1007/s00158-017-1704-6


2016

1. Jing Z, Sun Q, Silberschmidt V.V. A framework for design and optimization of tapered composite structures Part I: From individual panel to global blending structure. Composite Structures. 2016; 154: 106-128. https://doi.org/10.1016/j.compstruct.2016.05.095

2. Jing Z, Sun Q, Silberschmidt V.V. Sequential permutation table method for optimization of stacking sequence in composite laminates. Composite Structures. 2016; 141: 240-252.  https://doi.org/10.1016/j.compstruct.2016.01.052

3. Tian WL, Qi LH,Su CQ, Zhou JM, Jing Z. Numerical simulation on elastic properties of short-fiber-reinforced metal matrix composites: Effect of fiber orientation. Composite Structures. 2016; 152: 408-417. https://doi.org/10.1016/j.compstruct.2016.05.046


2015

1. Jing Z, Fan XL, Sun Q. Global shared layer blending method for stacking sequence optimization design and blending of composite structures. Composites Part B: Engineering. 2015; 69: 181-90. https://doi.org/10.1016/j.compositesb.2014.09.039

2. Jing Z, Fan XL, Sun Q. Stacking sequence optimization of composite laminates for maximum buckling load using permutation search algorithm. Composite Structures. 2015; 121: 225-36.  https://doi.org/10.1016/j.compstruct.2014.10.031


2013

1. Jing ZSun Q. Fatigure life prediction of multidirectional composite laminate. Journal of Solid Rocket Technology. 2013; 36: 237-242. (In Chinese)