Computer Assisted Mechanics and Engineering Sciences

This paper is devoted to the development of Matlab software, dedicated to the generation of the 2D arbitrarily irregular clouds of nodes as well as triangular meshes. They may be applied in numerical analysis of the boundary value problems, based on both meshless and finite element discretization techniques, especially in case of numerical homogenization in which the domain partitioning into disjoint subdomains may be required. Several Matlab functions are extended on the basis of the simple computational geometry based ideas and concepts of engineering nature. A set of Matlab functions, attached to this paper, is discussed in a detailed manner, and examined on selected boundary value problems.

Sławomir Milewski

Development of simple effective cloud of nodes and triangular mesh generators for meshless and element-based analyses – implementation in Matlab

无网格和基于单元分析的简单有效节点云和三角网格生成器开发——在Matlab中的实现

The growth in the number of logistics platforms served by road, rail, waterway and sea is a logical consequence of the wide and rapid development of merchandise trade in a globalized economy. Transport and logistics are part of the same chain of activities that allows goods to be transported to their destination. Dependent on the requirements of their customers and suppliers and subject to strong competition, companies in this sector must manage strong constraints in terms of deadlines, flexibility, diversity of goods, while controlling the risks associated to this activity. The Bayesian approach, proposed in this paper, covers all the steps necessary to implement decision support solutions for risk management and control, starting from the identification of risks and the preparation of intervention until the conduct of operations in a crisis situation.  In this work, the prediction and the control of the road risks is treated using the influence diagram method, whose final objective is the optimization of the logistic function. After identifying and analyzing the different risks, the Bayesian networks (BNs) are initially used to model these risks and to prevent the different scenarios that take place in the logistics chain. As a second step, we use the influence diagram as a tool for the decision-making procedure. Finally, a case study is presented in this paper in order to highlight the strong contribution of this tool in the field of control of road risks while transporting goods

Abdelaziz Lakehal

Fouad Tachi

Optimization of the logistics function by controlling risks using influence diagram: cases of risks related to road transport

利用影响图控制风险优化物流功能：与公路运输相关的风险案例

Composite shells and panels are widely used in aerospace structures. These are often subjected to defects and damage from both in-service and manufacturing events. Delamination is the most important of these defects. This paper deals with the computational modelling of delamination in a laminated composite shells. The use of three-dimensional finite elements for predicting the delamination of these structures is computationally expensive. Here combined double-layer and single-layer of shell elements are employed to study the effect of delamination on the strain values in the sample under purely bending loads. The computational load and the accuracy of the modeling approaches are compared. It is shown that through-the-thickness delamination can be modeled and analyzed effectively without requiring a great deal of computing time and memory. Some of the results are compared with the experimental results.

Rohan Nandkishor Soman

Wieslaw Ostachowicz

Modeling of delamination in composite shells under different temperature conditions

不同温度条件下复合材料壳体脱层的建模

The correct orientation of the spacecraft during a space flight is one of the main tasks of astronautics, because its orientation affects the correct operation of all subsystems, in particular power supply systems, where the orientation of solar panels is one of the key tasks. From this point of view, the tasks of developing backup or replacement of orientation systems are becoming relevant. In this paper, an alternative for the development of an orientation sensor is proposed, which is sensitive to radiation heating from the Sun or other celestial bodies that emit strongly. Thus, the tasks of developing a heat flux sensor responsive to changes in heat fluxes become relevant. This article is devoted to the analysis of technical capabilities to create such a sensor.

Aleksey V. Nenarokomov

Evgeny V. Chebakov

Irina V. Krainova

Dmitry L. Reviznikov

Alena V. Morzhukhina

A backup orientation system based on inverse problems technique

基于逆问题技术的备份定向系统

Over the past few decades multimedia content, particularly digital images, has increased at a rapid pace, with several complex images being uploaded to various social websites such as Instagram, Facebook and Twitter. Therefore, it is difficult to search and retrieve the relevant image in seconds. Search engines retrieve images based on traditional textbased methods that depend on metadata and captions. In the last few years, a wide range of research has focused on content-based image retrieval (CBIR) based on image mining approaches. This is a challenging research area due to the ever-increasing multimedia database and other image libraries. In order to offer an effective search and retrieval, a novel CBIR system is proposed using the image mining-based deep belief neural network (IMDBN) technique. The proposed method is designed to enhance retrieval accuracy while diminishing the semantic gap between human visual understanding and image feature representation. To achieve this objective, the proposed system carries several steps like preprocessing, feature extraction, classification, and feature matching. Initially, the input database images are fed into the proposed image mining-based CBIR system, whereas colour-shape-texture (CST) feature extraction technique is applied to extract relevant feature set. The extracted features are fused and stored in the feature vector and aresubjected to the proposed IMDBN classification step to retrieve similar images in one label. Whenever a new query content is created, the most relevant images are retrieved. This, in turn, achieves 94% accuracy, which is higher than in existing approaches.

Faiyaz Ahmad

Tanvir Ahmad

Image Mining Based on Deep Belief Neural Network and Feature Matching Approach Using Manhattan Distance

基于深度信念神经网络和曼哈顿距离特征匹配的图像挖掘

Cross-trainers are machines that use link mechanisms to mimic walking or running as part of workout sessions or rehabilitation systems. The simplest cross-trainer incorporates a crank-rocker or a crank-slider mechanism and provides a nearly elliptical path for foot motion. However, the natural human foot trajectories are far from being elliptical. Therefore, existing designs require modifications. Artificial neural networks are used for this purpose. Instead of trying to match the foot trajectory directly, here we tried to match different geometric properties of the area enclosed by the foot trajectory. Neural networks are trained to predict these geometric properties as outputs with the dimensions of the linkage as inputs. With the help of the same trained network, the “best-fit dimensions” were predicted for the desired trajectories.

Siddhartha Patra

Designing a Cross Trainer Using an Artificial Neural Network

使用人工神经网络设计交叉训练器

This study examines the influence of thermal radiation on biomagnetic fluid, namely blood that passes through a two-dimensional stretching sheet in the presence of magnetic dipole. This analysis is conducted to observe the behavior of blood flow for an unsteady case, which will help in developing new solutions to treat diseases and disorders related to human body. Our model is namely biomagnetic fluid dynamics (BFD), which is consistent with two principles: ferrohydrodynamic (FHD) and magnetohydrodynamic (MHD), where blood is treated as electrically conductive. It is assumed that the implemented magnetic field is sufficiently strong to saturate the ferrofluid, and the variation of magnetization with temperature may be approximated with the aid of a function of temperature distinction. The governing partial differential equations (PDEs) converted into ordinary differential equations (ODEs) using similarity transformation and numerical results are thus obtained by using the bvp4c function technique in MATLAB software with considering applicable boundary conditions. With the help of graphs, we discuss the impact of various parameters, namely radiation parameter, unsteady parameter, permeability parameter, suction parameter, magnetic field parameter, ferromagnetic parameter, Prandtl number, velocity and thermal slip parameter on fluid (blood) flow and heat transfer in the boundary layer. The rate of heat transfer and skin friction coefficient is also computationally obtained for the requirement of this study. The fluid velocity decreases with increasing values of the magnetic parameter, ferromagnetic interaction parameter, radiation parameter whereas temperature profile increases for the unsteady parameter, Prandtl number, and permeability parameter. From the analysis, it is also observed that the skin friction coefficient decreases and the rate of heat transfer increases respectively with increasing values of the ferromagnetic interaction parameter. The most important part of the present analysis is that we neither neglect the magnetization nor electrical conductivity of the blood throughout this study. To make the results more feasible, they are compared with the data previously published in the literature and found to be in good accuracy.

Md. Jahangir Alam

Md. Ghulam Murtaza

Efstratios E. Tzirtzilakis

Mohammad Ferdows

Effect of Thermal Radiation on Biomagnetic Fluid Flow and Heat Transfer over an Unsteady Stretching Sheet

热辐射对非定常拉伸薄片上生物磁流体流动与传热的影响

Along with the increase in computing power, new possibilities for the use of parametric coupled analysis of fluid flow machines and metamodeling for many branches of industry and medicine have appeared. In this paper, the use of a new methodology for multiobjective optimization of a butterfly valve with the application of the fluid-structure interaction metamodel is presented. The optimization objective functions were to increase the value of the KV valve’s flow coefficient while reducing the disk mass. Moreover, the equivalent von Mises stress was accepted as an additional constraint. The centred composite designs were used to plan the measuring point. Full second-order polynomials, non-parametric regression, Kriging metamodeling techniques were implemented. The optimization process was carried out using the multi-objectives genetic algorithm. For each metamodel, one of the optimization candidates was selected to verify its results. The best effect was obtained using the Kriging method. Optimization allowed to improve the KV value by 37.6%. The metamodeling process allows for the coupled analysis of the fluid flow machines in a shorter time, although its main application is geometry optimization.

Laura Pałys

Mirosław W. Mrzygłód

Using Metamodeling and Fluid-Structure Interaction Analysis in Multi-Objective Optimization of a Butterfly Valve

使用元建模和流固耦合分析在蝶阀多目标优化中的应用

In the present study, the effect of free surface on the hydrodynamic forces acting on the motion of an autonomous underwater vehicle (AUV) has been investigated. The AUV is powered by solar energy. Using computational fluid dynamics, the Reynolds averaged Navier Stokes (RANS) equations for the flow around the AUV are solved, and the free surface effect is simulated using the volume of fluid (VOF) two-phase flow model. For this purpose, the commercial code ANSYS FLUENT 18 was used. The results of the numerical solution are compared with experimental results of the AUV model in the surface motion in the towing tank of the Persian Gulf National Laboratory with a scale of 1:1. The experiment was performed in a fixed draft and the velocity was ranging from 0.2 m/s to 1.4 m/s (according to Reynolds number 2.4 x 105 to 1.7 x 106).

Ehsan Asadi Asrami

Mohammad Moonesun

Farhad Azizi Abi

Computational Fluid Dynamics and Experimental Hydrodynamic Analysis of a Solar AUV

太阳能自主水下机器人计算流体动力学与实验水动力分析

出版信息	出版商: Polish Academy of Sciences，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 1995，原创研究文献占比: ，自引率:， Gold OA占比:

Computer Assisted Mechanics and Engineering Sciences

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Development of simple effective cloud of nodes and triangular mesh generators for meshless and element-based analyses – implementation in Matlab

Optimization of the logistics function by controlling risks using influence diagram: cases of risks related to road transport

Modeling of delamination in composite shells under different temperature conditions

A backup orientation system based on inverse problems technique

Development of simple effective cloud of nodes and triangular mesh generators for meshless and element-based analyses – implementation in Matlab

Image Mining Based on Deep Belief Neural Network and Feature Matching Approach Using Manhattan Distance

Designing a Cross Trainer Using an Artificial Neural Network

Effect of Thermal Radiation on Biomagnetic Fluid Flow and Heat Transfer over an Unsteady Stretching Sheet

Using Metamodeling and Fluid-Structure Interaction Analysis in Multi-Objective Optimization of a Butterfly Valve

Computational Fluid Dynamics and Experimental Hydrodynamic Analysis of a Solar AUV