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Data-driven modeling on anisotropic mechanical behavior of brain tissue with internal pressure

Defence Technology（防务技术） 2024年第3期33卷 55-65页

作者： Zhiyuan Tang Yu Wang Khalil I.Elkhodary Zefeng Yu Shan Tang Dan Peng State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial EquipmentDalian University of Technology116023DalianPR China The Department of Mechanical Engineering The American University in CairoNew Cairo11835Egypt Department of Neurology The Second Hospital of Dalian Medical UniversityDalian116023PR China

Brain tissue is one of the softest parts of the human body,composed of white matter and grey matter.The mechanical behavior of the brain tissue plays an essential role in regulating brain morphology and brain function.Besides,traumatic brain injury(TBI)and various brain diseases are also greatly influenced by the brain's mechanical properties.Whether white matter or grey matter,brain tissue contains multiscale structures composed of neurons,glial cells,fibers,blood vessels,etc.,each with different mechanical properties.As such,brain tissue exhibits complex mechanical behavior,usually with strong nonlinearity,heterogeneity,and directional dependence.Building a constitutive law for multiscale brain tissue using traditional function-based approaches can be very challenging.Instead,this paper proposes a data-driven approach to establish the desired mechanical model of brain tissue.We focus on blood vessels with internal pressure embedded in a white or grey matter matrix material to demonstrate our approach.The matrix is described by an isotropic or anisotropic nonlinear elastic model.A representative unit cell(RUC)with blood vessels is built,which is used to generate the stress-strain data under different internal blood pressure and various proportional displacement loading paths.The generated stress-strain data is then used to train a mechanical law using artificial neural networks to predict the macroscopic mechanical response of brain tissue under different internal pressures.Finally,the trained material model is implemented into finite element software to predict the mechanical behavior of a whole brain under intracranial pressure and distributed body forces.Compared with a direct numerical simulation that employs a reference material model,our proposed approach greatly reduces the computational cost and improves modeling efficiency.The predictions made by our trained model demonstrate sufficient accuracy.Specifically,we find that the level of internal blood pressure can greatly influence stress distribution and

关键词： Data driven Constitutive law Anisotropy Brain tissue internal pressure

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Effect of internal pressure on strength of hydraulically expanded joints

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Rare Metals 2007年第S1期26卷 143-148页

作者： LIU Qiang,LIU Gang,and YUAN Shijian School of Materials Science & Engineering,Harbin Institute of Technology,Harbin 150001,China Harbin Inst Technol Sch Mat Sci & Engn Harbin 150001 Peoples R China

To analyze the effect of internal pressure on the connection strength of hydraulically expanded joints,a hydraulic expanding and push-out process of a joint of tube to sleeve was simulated by using FEM and validated by experiments at various internal pressure values.The stress and residual stress in the joined pair during the joining process illustrates that the contact pressure on the interface is not uniform along the longitudinal direction.The research reveals that if the sleeve does not experience any plastic deformation,the connection strength increases with the internal pressure linearly.For sleeve material with yield point elongation,if the sleeve experiences some degree of plastic deformation,there is an internal pressure interval in which the connection strength decreases slightly as internal pressure increases.Therefore,the internal pressure should be controlled depending on the deformation of the sleeve,but not as high as possible.The simulated results are in good agreement with those from experiments.

关键词： hydraulically expanded joint internal pressure push-out force interference fit

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Reasonable Range of internal pressure of Gas Storage in Rock Salt Mass

Reasonable Range of Internal Pressure of Gas Storage in Rock...

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2012年海峡两岸破坏科学/材料试验学术会议

作者： Wang Zhiyin Zhao Bin Duan Pin jia Zhang huabin Beijing Key Laboratory of Urban Oil and Gas Distribution Technology China University of Petroleum(Beijing) CNOOC Gas & Power Group

internal pressure has a controlling influence on the stability of cavern of gas storage in rock salt mass.Stress analytical formulas of the rock surrounding cavern,governing conditions and reasonable ranges of internal pressure under static and cycle load conditions for spherical and cylindrical cavern were obtained through mechanical analytical method.Governing conditions were based on tensile failure condition,and plasticity model including Mohr-Coulomb criterion and Drucker-Prager criterion.Calculation results indicated that reasonable internal pressure ranges can prevent a shear or tensile failure of the surrounding rocks,and the internal pressure ranges based on Drucker-Prager criterion are more usable in practical engineering of salt cavern gas storage,because it takes intermediate principal stress into account and its characteristics of three dimensional stress state is consistent with the real force sate of surrounding rocks of cavern.

关键词： Gas Storage in Rock Salt Mass internal pressure Variation Range Analytic Method

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基于数据驱动方法的腐蚀管道线在内压下爆破极限强度预测

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Journal of Marine Science and Application 2022年第2期21卷 115-132页

作者： Jie Cai Xiaoli Jiang Yazhou Yang Gabriel Lodewijks Minchang Wang Department of Technology and Innovation University of Southern DenmarkCampusvej 55-5230 OdenseDenmark Department of Maritime and Transport Technology Delft University of Technology2628 CD Delftthe Netherlands College of Advanced Interdisciplinary Studies National University of Defence TechnologyChangsha410073P.R.China School of Engineering University of NewcastleNSW2308Australia Hangzhou Silan Microelectronics Co.Ltd. HangzhouZhejiang310008P.R.China.

A corrosion defect is recognized as one of the most severe phenomena for high-pressure pipelines,especially those served for a long time.Finite-element method and empirical formulas are thereby used for the strength prediction of such pipes with corrosion.However,it is time-consuming for finite-element method and there is a limited application range by using empirical formulas.In order to improve the prediction of strength,this paper investigates the burst pressure of line pipelines with a single corrosion defect subjected to internal pressure based on data-driven methods.Three supervised ML(machine learning)algorithms,including the ANN(artificial neural network),the SVM(support vector machine)and the LR(linear regression),are deployed to train models based on experimental data.Data analysis is first conducted to determine proper pipe features for training.Hyperparameter tuning to control the learning process is then performed to fit the best strength models for corroded pipelines.Among all the proposed data-driven models,the ANN model with three neural layers has the highest training accuracy,but also presents the largest variance.The SVM model provides both high training accuracy and high validation accuracy.The LR model has the best performance in terms of generalization ability.These models can be served as surrogate models by transfer learning with new coming data in future research,facilitating a sustainable and intelligent decision-making of corroded pipelines.

关键词： Pipelines Corrosion Burst strength internal pressure Data-driven method Machine learning

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Numerical Analysis of Three-Layer Deep Tunnel Composite Structure

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Computer Modeling in Engineering & Sciences 2021年第4期127卷 223-239页

作者： Weiwei Sun Hongping Min Jianzhong Chen Chao Ruan Yanjun Zhang Lei Wang Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics School of ScienceWuhan University of TechnologyWuhan430070China China Construction Third Bureau Green Industry Investment Co. Ltd.Wuhan430035China Fujian Lutong Pipe Technology Co. Ltd.Quanzhou362000China

To date,with the increasing attention of countries to urban drainage system,more and more regions around the world have begun to build water conveyance tunnels,sewage pressure deep tunnels and so on.However,the sufficient bearing capacity and corrosion resistance of the structure,which can ensure the actual service life and safety of the tunnel,remain to be further improved.Glass Fiber Reinforced Plastics(GFRP)pipe,with light weight,high strength and corrosion resistance,has the potential to be applied to the deep tunnel structure.This paper proposed a new composite structure of deep tunnel lined with GFRP pipe,which consisted of three layers of concrete segment,cement paste and GFRP pipe.A new pipe-soil spring element model was proposed for the pipesoil interaction with gaps.Based on the C3D8R solid model and the Combin39 spring model,the finite element numerical analysis of the internal pressure status and external pressure stability of the structure was carried out.Combined with the checking calculation of the theoretical formula,the reliability of the two finite element models was confirmed.A set of numerical analysis methods for the design and optimization of the three-layer structure was established.The results showed that from the internal GFRP pipe to the outer concrete pipe,the pressure decreased from 0.5 to 0.32 MPa,due to the internal pressure was mainly undertaken by the inner GFRP pipe.The allowable buckling pressure of GFRP pipe under the cover of 5 GPa high modulus cement paste was 2.66 MPa.The application of GFRP pipe not only improves the overall performance of the deep tunnel structure but also improves the construction quality and safety.The three-layer structure built in this work is safe and economical.

关键词： GFRP pipe deep tunnel structure finite element analysis internal pressure external pressure stability pipe-soil interaction

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AN EXPERIMENTAL INVESTIGATION ON THE IMPACT PERFORATION FAILURE OF WATER-FILLED-PRESSURIZED PIPELINES

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Acta Mechanica Solida Sinica 2004年第1期17卷 20-26页

作者： LuGuoyun LeiJianping ZhangShanyuan InstituteofAppliedMechanics TaiyuanUniversityofTechnologyTaiyuan030024China

Some experimental data recorded from impact tests on empty and water-filled pressurized mild steel pipes are presented. The pipes were supported as a three-span continuous beam and impacted laterally by a rigid indenter at the mid-span of middle span. Three kinds of indenter nose shapes were used: blunt-nose, hemisphere-nose and 90?conical-nose. The internal pressure ranged up to 20 MPa. The perforation failure modes and corresponding critical impact energies were obtained under different test conditions. The time-history curves of the internal pressure and impact force were given. The experiments show that the media filled in the tube greatly decreased the ballistic limit energy.

关键词： impact perforation water-filled internal pressure pipe

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Failure of Pressurized Elliptical Composite Cylinders

Failure of Pressurized Elliptical Composite Cylinders

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第十三届国际复合材料会议

作者： JenniferM.McMurra MichaelW.Her Department of Engineering Science and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA 24061 USA Department of Engineering Science and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA 24061 USA

＜正＞Introduction This paper focuses on the use of nonprogressive and progressive failure analyses to predict the failure pressure, failure mode, and failure location of internall pressurized elliptical composite cylinders. The work has application to a number of structures in the transportation and material storage areas. The geometr and nomenclature of the elliptical structure considered is shown in Fig. 1, where it should be noted that the circumferential coordinate measure, s, is zero at the top, or crown, the axial coordinate measure is zero at midlength, C is the circumference, L is the length, and H is the wall thickness. Clamped ends will be considered. Because the radius of cur ature aries with s, at certain circumferential locations the stresses

关键词： internal pressure progressive failure first ply failure matrix cracking on

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