|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate显示文摘In this paper,a deep collocation method(DCM)for thin plate bending problems is proposed.This method takes advantage of computational graphs and backpropagation algorithms involved in deep learning.Besides,the proposed DCM is based on a feedforward deep neural network(DNN)and differs from most previous applications of deep learning for mechanical problems.First,batches of randomly distributed collocation points are initially generated inside the domain and along the boundaries.A loss function is built with the aim that the governing partial differential equations(PDEs)of Kirchhoff plate bending problems,and the boundary/initial conditions are minimised at those collocation points.A combination of optimizers is adopted in the backpropagation process to minimize the loss function so as to obtain the optimal hyperparameters.In Kirchhoff plate bending problems,the C^1 continuity requirement poses significant difficulties in traditional mesh-based methods.This can be solved by the proposed DCM,which uses a deep neural network to approximate the continuous transversal deflection,and is proved to be suitable to the bending analysis of Kirchhoff plate of various geometries. | Hongwei Guo Xiaoying Zhuang Timon Rabczuk | 2019 | Computers, Materials & Continua2019，，5： | 53 |
| 2 | A Nonlocal Operator Method for Partial Differential Equations with Application to Electromagnetic Waveguide Problem显示文摘A novel nonlocal operator theory based on the variational principle is proposed for the solution of partial differential equations.Common differential operators as well as the variational forms are defined within the context of nonlocal operators.The present nonlocal formulation allows the assembling of the tangent stiffness matrix with ease and simplicity,which is necessary for the eigenvalue analysis such as the waveguide problem.The present formulation is applied to solve the differential electromagnetic vector wave equations based on electric fields.The governing equations are converted into nonlocal integral form.An hourglass energy functional is introduced for the elimination of zeroenergy modes.Finally,the proposed method is validated by testing three classical benchmark problems. | Timon Rabczuk Huilong Ren Xiaoying Zhuang | 2019 | Computers, Materials & Continua2019，，4： | 28 |
| 3 | A continuous/discontinuous deformation analysis(CDDA)method based on deformable blocks for fracture modeling显示文摘In the framework of finite element meshes,a novel continuous/discontinuous deformation analysis(CDDA)method is proposed in this paper for modeling of crack problems.In the present CDDA,simple polynomial interpolations are defined at the deformable block elements,and a link element is employed to connect the adjacent block elements.The CDDA is particularly suitable for modeling the fracture propagation because the switch from continuous deformation analysis to discontinuous deformation analysis is natural and convenient without additional procedures.The SIFs(stress intensity factors)for various types of cracks,such as kinked cracks or curved cracks,can be easily computed in the CDDA by using the virtual crack extension technique(VCET).Both the formulation and implementation of the VCET in CDDA are simple and straightforward.Numerical examples indicate that the present CDDA can obtain high accuracy in SIF results with simple polynomial interpolations and insensitive to mesh sizes,and can automatically simulate the crack propagation without degrading accuracy. | Yongchang CAI Hehua ZHU Xiaoying ZHUANG | 2013 | Frontiers of Structural and Civil Engineering2013，7，4： | 10 |
| 4 | On the seismic stability analysis of reinforced rock slope and optimization of prestressed cables显示文摘The evaluation of the seismic stability of high rock slopes is of vital importance to ensure the safe operation of the hydropower stations.In this paper,an equivalent pseudo-static force analysis based on the finite element method is developed to evaluate the seismic stability of reinforced rock slopes where the prestressed cables are modeled by the bar elements applied with nodal forces and bounded only at the anchored parts.The method is applied to analyze a high rock slope in south-west China and the optimization of cables.The stabilization effects of prestressed cables on the seismic stability of the slope are studied,the simulations of the concrete heading are discussed and the potential failure modes of the shear concrete plug are compared.Based on this,the optimization of cables is studied including the anchor spacing and inclined angles. | Wenbo ZHENG Xiaoying ZHUANG Yongchang CAI | 2012 | Frontiers of Structural and Civil Engineering2012，6，2： | 6 |
| 5 | The Prediction of Self-Healing Capacity of Bacteria-Based Concrete Using Machine Learning Approaches显示文摘Advances in machine learning(ML)methods are important in industrial engineering and attract great attention in recent years.However,a comprehensive comparative study of the most advanced ML algorithms is lacking.Six integrated ML approaches for the crack repairing capacity of the bacteria-based self-healing concrete are proposed and compared.Six ML algorithms,including the Support Vector Regression(SVR),Decision Tree Regression(DTR),Gradient Boosting Regression(GBR),Artificial Neural Network(ANN),Bayesian Ridge Regression(BRR)and Kernel Ridge Regression(KRR),are adopted for the relationship modeling to predict crack closure percentage(CCP).Particle Swarm Optimization(PSO)is used for the hyper-parameters tuning.The importance of parameters is analyzed.It is demonstrated that integrated ML approaches have great potential to predict the CCP,and PSO is efficient in the hyperparameter tuning.This research provides useful information for the design of the bacteria-based self-healing concrete and can contribute to the design in the rest of industrial engineering. | Xiaoying Zhuang Shuai Zhou | 2019 | Computers, Materials & Continua2019，，4： | 6 |
| 6 | Computational model generation and RVE design o self-healing concrete显示文摘Computational homogenization is a versatile tool that can extract effective properties of heterogeneous or composite material through averaging technique. Self-healing concrete (SHC) is a heterogeneous material which has different constituents as cement matrix, sand and healing agent carrying capsules. Computational homogenization tool is applied in this paper to evaluate the effective properties of self-healing concrete. With this technique, macro and micro scales are bridged together which forms the basis for multi-scale modeling. Representative volume element (RVE) is a small (microscopic) cell which contains all the microphases of the microstructure. This paper presents a technique for RVE design of SHC and shows the influence of volume fractions of different constituents, RVE size and mesh uniformity on the homogenization results. | Md. Shahriar QUAYUM Xiaoying ZHUANG Timon RABCZUK | 2015 | Frontiers of Structural and Civil Engineering2015，9，4： | 5 |
| 7 | Computational Machine Learning Representation for the Flexoelectricity Effect in Truncated Pyramid Structures显示文摘In this study,machine learning representation is introduced to evaluate the flexoelectricity effect in truncated pyramid nanostructure under compression.A Non-Uniform Rational B-spline(NURBS)based IGA formulation is employed to model the flexoelectricity.We investigate 2D system with an isotropic linear elastic material under plane strain conditions discretized by 45×30 grid of B-spline elements.Six input parameters are selected to construct a deep neural network(DNN)model.They are the Young's modulus,two dielectric permittivity constants,the longitudinal and transversal flexoelectric coefficients and the order of the shape function.The outputs of interest are the strain in the stress direction and the electric potential due flexoelectricity.The dataset are generated from the forward analysis of the flexoelectric model.80%of the dataset is used for training purpose while the remaining is used for validation by checking the mean squared error.In addition to the input and output layers,the developed DNN model is composed of four hidden layers.The results showed high predictions capabilities of the proposed method with much lower computational time in comparison to the numerical model. | Khader M.Hamdia Hamid Ghasemi Xiaoying Zhuang Naif Alajlan Timon Rabczuk | 2019 | Computers, Materials & Continua2019，，4： | 5 |
| 8 | A Dual-Support Smoothed Particle Hydrodynamics for Weakly Compressible Fluid Inspired By the Dual-Horizon Peridynamics显示文摘A dual-support smoothed particle hydrodynamics(DS-SPH)that allows variable smoothing lengths while satisfying the conservations of linear momentum,angular momentum and energy is developed.The present DS-SPH is inspired by the dual-support,a concept introduced from dual-horizon peridynamics from the authors and applied here to SPH so that the unbalanced interactions between the particles with different smoothing lengths can be correctly considered and computed.Conventionally,the SPH formulation employs either the influence domain or the support domain.The concept of dual-support identifies that the influence domain and the support domain involves the duality and should be simultaneously in the SPH formulation when variable smoothing lengths are used.The DS-SPH formulation can be implemented into conventional SPH codes with minimal changes and also without compromising the computational efficiency.A number of numerical examples involving weakly compressible.fluid are presented to demonstrate the capability of the method. | Huilong Ren Xiaoying Zhuang Timon Rabczuk | 2019 | Computer Modeling in Engineering & Sciences2019，，11： | 4 |
| 9 | Machine-learning-driven on-demand design of phononic beams显示文摘The development of phononic crystals, especially their interaction with topological insulators, allows exploration of the anomalous properties of acoustic/elastic waves for various applications. However, rapidly and inversely exploring the geometry of specific targets remains a major challenge. In this work, we show how machine learning can address this challenge by studying phononic crystal beams using two different inverse design schemes. We first develop the theory of phononic beams using the transfer matrix method. Then, we use the reinforcement learning algorithm to effectively and inversely design the structural parameters to maximize the bandgap width. Furthermore, we employ the tandem-architecture neural network to solve the training-difficulty problem caused by inconsistent data and complete the task of inverse structure design with the targeted topological properties. The two inverse-design schemes have different adaptabilities, and both are characterized by high efficiency and stability. This work provides deep insights into the combination of machine learning, topological property,and phononic crystals and offers a reliable platform for rapidly and inversely designing complex material and structure properties. | Liangshu He Hongwei Guo Yabin Jin Xiaoying Zhuang Timon Rabczuk Yan Li | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，1： | 3 |
| 10 | Methylesterification of cell-wall pectin controls the diurnal flower-opening times in rice显示文摘Flowers are the core reproductive organ of plants, and flowering is essential for cross-pollination. Diurnal flower-opening time is thus a key trait influencing reproductive isolation, hybrid breeding, and thermostability in plants. However, the molecular mechanisms controlling this trait remain unknown. Here, we report that rice Diurnal Flower Opening Time 1 (DFOT1) modulates pectin methylesterase (PME) activity to regulate pectin methylesterification levels of the lodicule cell walls, which affect lodicule swelling to control diurnal flower-opening time. DFOT1 is specifically expressed in the lodicules, and its expression gradually increases with the approach to flowering but decreases with flowering. Importantly, a knockout of DFOT1 showed earlier diurnal flower opening. We demonstrate that DFOT1 interacts directly with multiple PMEs to promote their activity. Knockout of PME40 also resulted in early diurnal flower opening, whereas overexpression of PME42 delayed diurnal flower opening. Lower PME activity was observed to be associated with higher levels of pectin methylesterification and the softening of cell walls in lodicules, which contribute to the absorption of water by lodicules and cause them to swell, thus promoting early diurnal flower opening. Higher PME activity had the opposite effect. Collectively, our work uncovers a molecular mechanism underlying the regulation of diurnal flower-opening time in rice, which would help reduce the costs of hybrid breeding and improve the heat tolerance of flowering plants by avoiding higher temperatures at anthesis. | Mumei Wang Xiaopei Zhu Guoqing Peng Minglong Liu Shuqing Zhang Minghao Chen Shitang Liao Xiaoying Wei Peng Xu Xiyu Tan Fangping Li Zhichuan Li Li Deng Ziliang Luo Liya Zhu Shuai Zhao Dagang Jiang Jing Li Zhenlan Liu Xianrong Xie Shaokui Wang Aimin Wu Chuxiong Zhuang Hai Zhou | 2022 | Molecular Plant2022，15，6： | 2 |
| 11 | Isogeometric cohesive zone model for thin shell delamination analysis based on Kirchhoff-Love shell model显示文摘We present a cohesive zone model for delamination in thin shells and composite structures.The isogeometric(IGA)thin shell model is based on Kirchhoff-Love theory.Non-Uniform Rational B-Splines(NURBS)are used to discretize the exact mid-surface of the shell geometry exploiting their C 1-continuity property which avoids rotational degrees of freedom.The fracture process zone is modeled by interface elements with a cohesive law.Two numerical examples are presented to test and validate the proposed formulation in predicting the delamination behavior of composite structures. | Tran Quoc THAI Timon RABCZUK Xiaoying ZHUANG | 2020 | Frontiers of Structural and Civil Engineering2020，14，2： | 2 |
| 12 | Three-Dimensional Isogeometric Analysis of Flexoelectricity with MATLAB Implementation显示文摘Flexoelectricity is a general electromechanical phenomenon where the electric polarization exhibits a linear dependency to the gradient of mechanical strain and vice versa.The truncated pyramid compression test is among the most common setups to estimate the flexoelectric effect.We present a three-dimensional isogeometric formulation of flexoelectricity with its MATLAB implementation for a truncated pyramid setup.Besides educational purposes,this paper presents a precise computational model to illustrate how the localization of strain gradients around pyramidal boundary shapes contributes in generation of electrical energy.The MATLAB code is supposed to help learners in the Isogeometric Analysis and Finite Elements Methods community to learn how to solve a fully coupled problem,which requires higher order approximations,numerically.The complete MATLAB code which is available as source code distributed under a BSD-style license,is provided in the part of Supplementary Materials of the paper. | Hamid Ghasemi Harold S.Park Xiaoying Zhuang Timon Rabczuk | 2020 | Computers, Materials & Continua2020，，11： | 2 |
| 13 | Effect of graph generation on slope stability analysis based on graph theory显示文摘Limit equilibrium method(LEM) and strength reduction method(SRM) are the most widely used methods for slope stability analysis. However, it can be noted that they both have some limitations in practical application. In the LEM, the constitutive model cannot be considered and many assumptions are needed between slices of soil/rock. The SRM requires iterative calculations and does not give the slip surface directly. A method for slope stability analysis based on the graph theory is recently developed to directly calculate the minimum safety factor and potential critical slip surface according to the stress results of numerical simulation. The method is based on current stress state and can overcome the disadvantages mentioned above in the two traditional methods. The influences of edge generation and mesh geometry on the position of slip surface and the safety factor of slope are studied, in which a new method for edge generation is proposed, and reasonable mesh size is suggested. The results of benchmark examples and a rock slope show good accuracy and efficiency of the presented method. | Enpu Li Xiaoying Zhuang Wenbo Zheng Yongchang Cai | 2014 | Journal of Rock Mechanics and Geotechnical Engineering2014，6，4： | 2 |
| 14 | Characterization of Loading Rate Effects on the Interactions Between Crack Growth and Inclusions in Cementitious Material显示文摘The microcapsule-enabled cementitious material is an appealing building material and it has been attracting increasing research interest.By considering microcapsules as dissimilar inclusions in the material,this paper employs the discrete element method(DEM)to study the effects of loading rates on the fracturing behavior of cementitious specimens containing the inclusion and the crack.The numerical model was first developed and validated based on experimental results.It is then used to systematically study the initiation,the propagation and the coalescence of cracks in inclusion-enabled cementitious materials.The study reveals that the crack propagation speed,the first crack initiation stress,the coalescence stress,the compressive strength and the ultimate strain increase with the loading rate.The initiation position,the propagation direction,the cracking length and the type of the initiated cracks are influenced by the loading rates.Two new crack coalescence patterns are observed.It is easier to cause the coalescence between the circular void and a propagating crack at a slow loading rate than at a fast loading rate. | Shuai Zhou Xiaoying Zhuang | 2018 | Computers, Materials & Continua2018，，12： | 2 |
| 15 | A deep neural network-based algorithm for solving structural optimization显示文摘We propose the deep Lagrange method(DLM),which is a new optimization method,in this study.It is based on a deep neural network to solve optimization problems.The method takes the advantage of deep learning artificial neural networks to find the optimal values of the optimization function instead of solving optimization problems by calculating sensitivity analysis.The DLM method is non-linear and could potentially deal with nonlinear optimization problems.Several test cases on sizing optimization and shape optimization are performed,and their results are then compared with analytical and numerical solutions. | Dung Nguyen KIEN Xiaoying ZHUANG | 2021 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2021，22，8： | 2 |
| 16 | The effect of weak interlayer on the failure pattern of rock mass around tunnel – Scaled model tests and numerical analysis显示文摘 | Feng Huang Hehua Zhu Qianwei Xu Yongchang Cai Xiaoying Zhuang | 2012 | Tunnelling and Underground Space Technology incorporating Trenchless Technology Research2012，，： | 1 |
| 17 | Recent advances of digitization in rock mechanics and rock engineering显示文摘In recent years,there are growing demands of representing rock mechanics and rock engineering in a digital format that can be easily managed,manipulated,analyzed and shared.The objective of this paper is to give a comprehensive review of the status quo and future trends of digitization in rock mechanics and rock engineering.Research topics essential to the process of digitization are firstly discussed,including data acquisition,data standardization,geological modeling,visualization and digital-numerical integration.New techniques that will play an important role in digitization process but require further improvement are then briefly proposed.Finally,achievements of present methods and techniques for digitization in substantial rock mechanics and rock engineering are presented. | Hehua Zhu Xiaojun Li Xiaoying Zhuang | 2011 | Journal of Rock Mechanics and Geotechnical Engineering2011，3，3： | 1 |
| 18 | Aspects of the use of orthogonal basis functions in the element-free Galerkin method显示文摘 | Zhuang Xiaoying Augarde C | 2010 | International Journal for Numerical Methods in Engineering2010，81，： | 1 |
| 19 | The Interaction between Microcapsules with Different Sizes and Propagating Cracks显示文摘The microcapsule-contained self-healing materials are appealing since they can heal the cracks automatically and be effective for a long time.Although many experiments have been carried out,the influence of the size of microcapsules on the self-healing effect is still not well investigated.This study uses the two-dimensional discrete element method(DEM)to investigate the interaction between one microcapsule and one microcrack.The influence of the size of microcapsules is considered.The potential healing time and the influence of the initial damage are studied.The results indicate that the coalescence crack is affected by the size of holes.The elastic modulus,the compressive strength and the coalescence stress decrease with the rising radius of holes.The initial damage in experiments should be greater than 95%of the compressive strength to enhance the self-healing effect.The large microcapsules require slight initial damage.Both a new type of displacement field near the crack and a new category of coalescence crack are observed.The influence of sizes of holes on the cracking behavior of concrete with a circular hole and a pre-existing crack is clarified. | Xiaoying Zhuang Hung Nguyen-Xuan Shuai Zhou | 2021 | Computers, Materials & Continua2021，，4： | 1 |
| 20 | Reproducing kernel triangular B-spline-based FEM for solving PDEs显示文摘 | Yue Jia Yongjie Zhang Gang Xu Xiaoying Zhuang Timon Rabczuk | 2013 | Computer Methods in Applied Mechanics and Engineering2013，，： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员