Professor

Tel:+86-10-62771114

E-mail address:liuzhanli@tsinghua.edu.cn

Introduction

Zhanli Liu is a full professor in the Department of Engineering Mechanics, Tsinghua University. Before taking the position at Tsinghua, he worked as a postdoctoral researcher at Northwestern University, USA from 2009 to 2012. He received B.S. and Ph.D. degree in Engineering Mechanics from Tsinghua University in 2004 and 2009, respectively. His research interest is mainly to develop computational mechanics methods of practical relevance to understand, predict and design the deformation and failure behavior of solid materials and structures, specifically in aerospace engineering, biomedical engineering.

Address: Mong Man-Wei Science & Technology Building, Room N-523, Tsinghua University, Beijing, 100084 China

Tel: +86-10-62771114(office);

Email: liuzhanli@tsinghua.edu.cn

Education background

Ph.D. in Engineering Mechanics, Tsinghua University, China (7/2009)

B.S. in Engineering Mechanics, Tsinghua University, China (7/2004)

Experience

Full Professor, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, 2022-now

Associate Professor, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, 2012-2022

Postdoctoral Researcher, Northwestern University, USA, 2009-2012

Social service

Regional editor, International Journal of Fracture, 2020-present

Editorial Board, Applied Mathematics and Mechanics, 2020-present

Secretary-General, Beijing Society of Theoretical and Applied Mechanics, 2021-present

Deputy director, Chinese Society of Computational Mechanics, 2020-present

Member of Composite Material Group of Solid Mechanics Committee, Chinese Society of Theoretical and Applied Mechanics, 2015-present

Member of Geodynamics Committee, Chinese Society of Theoretical and Applied Mechanics, 2015-present

Areas of Research Interests/ Research Projects

Dynamic response and failure of materials and structures under impact loads

Reverse engineering design based on machine learning and computational mechanics simulation

Lightweight multifunctional protective structure design

Biological tissue damage, repair and reconstruction

Awards and Honors

First prize of science and technology award of Aeronautical Society (2020)

Qian Lingxi Youth Award for Computational Mechanics (2020)

First prize of natural science of Ministry of Education (2018)

The National Science Fund for Excellent Young Scholars (2017)

China Mechanics Youth Science and Technology Award (2015)

National Excellent Doctoral Dissertation Award of P.R. China (2011)

Academic Achievement

https://scholar.google.com/citations?user=ve1ODkYAAAAJ&hl=en

A few recent representative articles are given below.

Modeling and simulation for the failure of material and structures

Lu Longkun, Liu Zhanli, Zhuang Zhuo. A theoretical analysis for the normal impact fracture in thin brittle plates based on the principle of minimum external work. Journal of the Mechanics and Physics of Solids, 2023,171:105158.

Shanglin Yang, Ziming Yan, Yue Gao, Yizhi Zhang, Yigang Wang, Zhanli Liu. Numerical and theoretical modeling of the elastic-plastic bulging deformation of UHMWPE composite laminate under high-speed impact. International Journal of Impact Engineering, 2023, 182: 104771.

Chu Dongyang, Wang Yigang, Yang Shanglin, Li Zhijie, Zhuang Zhuo, Liu Zhanli. Analysis and design for the comprehensive ballistic and blast resistance of polyurea-coated steel plate. Defence Technology,2023, 19: 35-51.

Wang Y, Yang S, Chu D, Lu L, Liu Z. Study of the mixed tensile-shear ductile fracture of impulsively loaded metal plates by developing a phase-field fracture model with stress triaxiality and Lode parameter dependence. International Journal of Fracture, 2023, 241:211–231.

Chu Dongyang, Li Zhijie, Yao Kaili, Wang Yigang, Tian Rong, Zhuang Zhuo, Liu Zhanli. Studying the strengthening mechanism and thickness effect of elastomer coating on the ballistic-resistance of the polyurea-coated steel plate. International Journal of Impact Engineering,2022, 163: 104181.

Reverse engineering design based on machine learning

Chen Haolong, Wang Kaijie, Du Zhibo, Liu Weiming, Liu Zhanli. Predicting the thermophysical properties of skin tumor based on the surface temperature and deep learning. International Journal of Heat and Mass Transfer, 2021, 180: 121804.

Li Xiang, Ning Shaowu, Liu Zhanli, Yan Ziming, Luo Chengcheng, Zhuang Zhuo. Designing phononic crystal with anticipated band gap through a deep learning based data-driven method. Computer Methods in Applied Mechanics and Engineering, 2020, 361: 112737.

Luo Chengcheng, Ning Shaowu, Liu Zhanli, Zhuang Zhuo. Interactive inverse design of layered phononic crystals based on reinforcement learning. Extreme Mechanics Letters, 2020, 36: 100651.

Li Xiang, Liu Zhanli, Cui Shaoqing, Luo Chengcheng, Li Chenfeng, Zhuang Zhuo. Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning. Computer Methods in Applied Mechanics and Engineering, 2019, 347, 735-753.

Computation aided analysis and design in biomedical engineering

Ziming Yan, Yuanyu Hu, Huibin Shi, Peng Wang, Zhanli Liu, Yun Tian, Zhuo Zhuang. Experimentally characterizing the spatially varying anisotropic mechanical property of cancellous bone via a Bayesian calibration method. Journal of the Mechanical Behavior of Biomedical Materials, 2023, 138:105643.

Zhibo Du, Peng Wang, Peng Luo, Zhou Fei, Zhuo Zhuang, Zhanli Liu. Mechanical mechanism and indicator of diffuse axonal injury under blast-type acceleration. Journal of Biomechanics, 2023, 156: 111674.

Du Zhibo, Li Zhijie, Wang Peng, Wang Xinghao, Zhang Jiarui, Zhuang Zhuo, Liu Zhanli. Revealing the Effect of Skull Deformation on Intracranial Pressure Variation During the Direct Interaction Between Blast Wave and Surrogate Head. Annuals of Biomedical Engineering, 2022, 50(9):1038-1052.

Du Zhibo, Li Zhijie, Wang Peng, Zhuang Zhuo, Liu Zhanli. Revealing the nonlinear mechanical behavior of white matter brain tissue by analyzing the asynchronous deformation and damage of matrix and axonal fibers. International Journal of Solids and Structures. 2022, 242: 111554.