Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jing-hai Gong is active.

Publication


Featured researches published by Jing-hai Gong.


PLOS ONE | 2013

Form-finding model shows how cytoskeleton network stiffness is realized.

Jing-hai Gong; Daxu Zhang; Yiider Tseng; Baolong Li; Denis Wirtz; Benjamin W. Schafer

In eukaryotic cells the actin-cytoskeletal network provides stiffness and the driving force that contributes to changes in cell shape and cell motility, but the elastic behavior of this network is not well understood. In this paper a two dimensional form-finding model is proposed to investigate the elasticity of the actin filament network. Utilizing an initially random array of actin filaments and actin-cross-linking proteins the form-finding model iterates until the random array is brought into a stable equilibrium configuration. With some care given to actin filament density and length, distance between host sites for cross-linkers, and overall domain size the resulting configurations from the form-finding model are found to be topologically similar to cytoskeletal networks in real cells. The resulting network may then be mechanically exercised to explore how the actin filaments deform and align under load and the sensitivity of the network’s stiffness to actin filament density, length, etc. Results of the model are consistent with the experimental literature, e.g. actin filaments tend to re-orient in the direction of stretching; and the filament relative density, filament length, and actin-cross-linking protein’s relative density, control the actin-network stiffness. The model provides a ready means of extension to more complicated domains and a three-dimensional form-finding model is under development as well as models studying the formation of actin bundles.


Journal of The Mechanical Behavior of Biomedical Materials | 2017

Affine and non-affine deformations quantified in cytoskeletal networks through three-dimensional form-finding model

Yifan Wang; Jing-hai Gong; Denis Wirtz; Benjamin W. Schafer

Actin filaments and cross-linkers are main components of cytoskeletal networks in eukaryotic cells, and they support bending moments and axial forces respectively. A three-dimensional form-finding model is proposed in this work to investigate affine and non-affine deformations in cytoskeletal networks. In recent studies, modeling of cytoskeletal networks turns out to be a key piece in the cell mechanics puzzle. We used form-finding analysis to compute and analyze cytoskeletal models. A three-dimensional model is much more flexible and contains more elements than a two-dimensional model, and non-linear finite element analysis is difficult to converge. Thus, vector form intrinsic finite element analysis is employed here for valid results. The three-dimensional model reveals new behaviors beyond earlier two-dimensional models and better aligns with available data. Relative density of actin filaments and height of the form-finding model both play important roles in determining cytoskeletal stiffness, positively and negatively, respectively. Real cytoskeletal networks are quite mixed in terms of affine and non-affine deformations, which are quantified by internal strain energy in actin filaments and cross-linkers. Results are also influenced by actin filament relative density and height of the model. The three-dimensional form-finding model does provide much more room for intensive studies on cytoskeletal networks. In our future study, microtubules, fluidics, viscoelastic-plastic cross-linkers and even the whole cell model may be taken into account gradually to improve the cytoskeletal form-finding model.


Journal of Constructional Steel Research | 2012

Seismic behaviour of steel beam to circular CFST column assemblies with external diaphragms

Daxu Zhang; Shengbin Gao; Jing-hai Gong


Journal of Structural Engineering-asce | 2016

Structural Behavior of an Air-Inflated Fabric Arch Frame

Xiao Guo; Qingsong Li; Daxu Zhang; Jing-hai Gong


Journal of Zhejiang University Science | 2010

Theoretical analysis and experimental study of an air inflated membrane structure

Jing-hai Gong; Xiu-ying Yang; Zi-zhao Zhang; Jincheng Zhao


Journal of Zhejiang University Science | 2014

Calculation of corrosion rate for reinforced concrete beams based on corrosive crack width

Feng Wu; Jing-hai Gong; Zhang Zhang


Journal of Zhejiang University Science | 2011

Parametric formulae for axial stiffness of CHS X-joints subjected to brace axial tension

Guo-zhi Qiu; Jing-hai Gong; Jincheng Zhao


Journal of Zhejiang University Science | 2012

Restrained torsion of open thin-walled beams including shear deformation effects

Zhao-qiang Wang; Jincheng Zhao; Daxu Zhang; Jing-hai Gong


Journal of Zhejiang University Science | 2014

Using a form-finding model to analyze the effect of actin bundles on the stiffness of a cytoskeleton network

Bao-long Li; Yi-fan Wang; Jing-hai Gong


Journal of Shanghai Jiaotong University (science) | 2015

Application of back analysis on laterally loaded single pile

Feng Wu; Jing-hai Gong; Kun Fu

Collaboration


Dive into the Jing-hai Gong's collaboration.

Top Co-Authors

Avatar

Daxu Zhang

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar

Jincheng Zhao

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar

Feng Wu

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar

Zhao-qiang Wang

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Denis Wirtz

Johns Hopkins University

View shared research outputs
Top Co-Authors

Avatar

Bao-long Li

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar

Baolong Li

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar

Guo-zhi Qiu

Shanghai Jiao Tong University

View shared research outputs
Top Co-Authors

Avatar

Qingsong Li

Shanghai Jiao Tong University

View shared research outputs
Researchain Logo
Decentralizing Knowledge