The air cushion vehicle as a load-spreading transport device

The most effective fields of operation of the ACV are discussed, and it is shown that the vehicle effectively fills the role of a heavy transporter over weak terrain. A speculative discussion of the interaction between ACV skirts and various terrain is given in some detail. In conclusion short notes are given on some current experimental programmes, and on the work of some actual vehicles in the field.     

Prediction of sinkage for wetland vehicles

A kind of rheometer is developed by the authors, with which the rheological parameters for paddy soils can be measured in situ. The optimum area of the measuring disk for this apparatus, which is about 38.5 cm², is determined according to the principle of fuzzy analysis on experimental results, and the effect of impact load is found by experiments.Tests are made with this apparatus for cracked and tyre-wheeled wetland vehicles moving in paddy fields. The predicted and measured sinkages for both vehicles are compared. The results show that for the tracked vehicle, there is not much difference between the predicted and measured sinkages, while for the wheeled vehicle, the predicted sinkages are less than the measured ones, perhaps due to the fact that the slip of the wheel is greater than that of the track, and the sinkage due to slip is quite significant.     

运用小波分析处理结构优化问题

结构优化设计中,常遇到具有奇异的结构优化问题,利用小波分析在奇异性检测中的优越性,将其引入到结构优化计算中。文中分别讨论了小波分析处理低维和高维结构优化问题,并给出相应的算法及计算步骤。最后,给出较为典型的算例。通过算例表明,小波分析方法可解决具有奇异性的结构优化问题,尤其是某些较为特殊的结构优化问题。     

Integration of genetic algorithm and a coactive neuro-fuzzy inference system for permeability prediction from well logs data

Permeability is one of the reservoir fundamental properties, which relate to the amount of fluid contained in a reservoir and its ability to flow. These properties have a significant impact on petroleum fields operations and reservoir management. The most reliable data of local permeability are taken from laboratory analysis of cores. Extensive coring is very expensive and this expense becomes reasonable in very limited cases. Thus, the proper determination of the permeability is of paramount importance because it affects the economy of the whole venture of development and operation of a field. In this study, we introduce a new hybrid network based on Coactive Neuro-Fuzzy Inference System (CANFIS). CANFIS is a dependable and robust network that developed to identify a non-linear relationship and mapping between petrophysical data and core samples. Then to improve the system performance, genetic algorithm (GA) was integrated in order to search of optimal network parameters and decrease of noisy data in training samples. An Iranian offshore gas field is located in the Persian Gulf, has been selected as the study area in this paper. Well log data are available on substantial number of wells. Core samples are also available from a few wells. It was shown that the new proposed strategy is an effective method in predicting permeability from well logs.     

A model-based validation framework for PIV and PTV

The utility of particle image velocimetry (PIV) for measurement of velocity fields in many fluid flows is well established. This has created interest in overcoming difficulties with the technique when applied to increasingly larger fields of view where there exists a significant range of velocities and spatial velocity gradients are large. In this regard, a major deficiency with standard cross-correlation PIV is the inherent link between the density of vectors in the measurement field and the maximum measurable displacement. Several schemes exist to reduce this link. These iterative hierarchical/multiresolution schemes are strongly dependent on vector validation routines to remove spurious vectors. Here the design of a new framework for vector validation is described. This framework is general enough for use with both regular and irregularly spaced vector fields to make it applicable to particle image velocimetry (PIV), particle tracking velocimetry (PTV), and hybrid methods. It is based on the determination of a smoothed displacement field that robustly characterizes the measured field such that invalid vectors are attenuated more than valid vectors. In this particular study a thin-plate spline model is incorporated within an iterative regularized weighted least-squares routine to find a smoothed version of the displacement field that maintains pertinent velocity gradient information. The utility of the methodology is demonstrated for a complex flow profile containing four vortices where the valid displacement ranges from ?1/4 to +1/4 of the area of interest (AOI) dimension. Results indicate that this validation strategy can discriminate between valid and invalid vectors remarkably well over a range of parameter settings. In the example presented a flow field with significant velocity gradients and having a high number of invalid vectors (25%) is accurately validated.     

Flow birefringence visualization of transitions in circular Couette flow

Flow birefringence technique is an experimental method in fluid dynamics from which we can obtain information about the velocity fields in various devices. This method has been used here to observe transitions which occur in the classical Couette device when the angular velocity of the inner cylinder increases beyond a certain critical value. Although earlier experiments have been reported, the observation of the flow birefringence phenomena in the entirely illuminated annular gap of a classical Couette cell consists in a new access to these problems and may well bring important information on the changes occuring in the hydrodynamical field at the different transitions.     

Experimental investigation on surface deformation of soft half plane indented by rigid wedge

In this work, the mechanical behavior of a block of soft material subject to large deformation from a series of wedge-shaped indenters is evaluated. Data fields acquired from digital image correlation (DIC) are compared with the existing theoretical models. The slope angles of the wedges vary from 5° to 73.5°, and the minimum measurement uncertainties of the DIC system are established in advance to define the accuracy. It is concluded that the assumptions underpinning the analytical theory make it difficult to characterize large deformation of soft materials during contact. The strain fields are also obtained from the measured displacement field and verify the previously postulated existence of two deformation sectors, namely, a so-called shrinkage sector symmetric to the loading axis and an expansion sector, which become smaller with the increasing load and decreasing wedge angle.     

有约束、轴对称抛撒条件下液体破碎、雾化的远场研究

液体轴对称抛撒在研制云雾爆轰武器中有着重要的实际应用背景和学术研究价值，由于过去这方面大量的工作集中在野外场地中进行，对液体燃料抛撒初期及后期形成的云雾区特性缺少细致的实验研究，本文用垂直无膜激波管与液体抛撒发生器结合起来，用多根隔条形成不同宽度的间隙，利用激光粒子测量仪研究在有约束的条件下，液体破碎、雾化的远场特性，并得到了一些结论。     

Construction of two dimensional temperature field from first derivative fields

Schlieren and its variants such as differential interferometry and schlieren microscopy, have been used extensively for flow visualization where first derivative fields are captured. The derivative fields obtained from the schlieren like methods can be further processed to estimate the temperature field when the first derivative fields relate to those of temperature. Temperature construction from first derivative field is an ill-posed problem owing to the experimental noise and a few discrete points where measured temperatures may be available. A new approach has been proposed where the domain is discretized into a large number of triangular elements and least-squares based finite-element analysis is performed over the discretized domain. The domain and boundaries are identified manually based on prior knowledge. Temperature fields have been constructed for experimentally obtained first derivative fields from a Differential Interferometer (DI) for different cases. The performance of the new methodology is found to be good.     

物理增强的流场深度学习建模与模拟方法

流体运动理论上可用Navier?Stokes方程描述, 但由于对流项带来的非线性, 仅在少数情况可求得方程解析解. 对于复杂工程流动问题, 数值模拟难以高效精准计算高雷诺数流场, 实验或现场测量难以获得流场丰富细节. 近年来, 人工智能技术快速发展, 深度学习等数据驱动技术可利用灵活网络结构, 借助高效优化算法, 获得对高维、非线性问题的强大逼近能力, 为研究流体力学计算方法带来新机遇. 有别于传统图像识别、自然语言处理等典型人工智能任务, 深度学习模型预测的流场需满足流体物理规律, 如Navier?Stokes方程、典型能谱等. 近期, 物理增强的流场深度学习建模与模拟方法快速发展, 正逐渐成为流体力学全新研究范式: 根据流体物理规律选取网络输入特征或设计网络架构的方法称为物理启发的深度学习方法, 直接将流体物理规律显式融入网络损失函数或网络架构的方法称为物理融合的深度学习方法. 研究内容涵盖流体力学降阶模型、流动控制方程求解领域.      

理想导体中具有两个松弛时间的电磁热弹性波

研究处于均布磁场中的理想导体的二维电磁热弹性耦合问题，引入势函数使控制方程转化为3个偏微分方程．运用Laplace变换和Fourier变换得到该问题在变换域内的精确表达式，再通过级数展开和Laplace逆变换法求得在时间较短时的逆变换，得到时间-空间域内问题的解．运用此方法研究了表面受到热冲击的半无限空间问题．给出了电磁热弹性波、膨胀波和横向波传播的速度，并通过数值计算，给出了各个场量的分布图．所得结论与已有的结论一致．     

A highly sensitive noncontacting electromagnetic device for detecting dynamic stress in structures

A highly sensitive, noncontacting electromagnetic device has been developed to detect stress waves in structures. It is shown that for detecting an induced strain this device is over 500 times more sensitive than conventional bonded strain gages. The principle of detecting the strain by this device is based on the fact that dynamic stresses in a structure induce similar stresses in a bonded piezoelectric material. This, in turn, creates a magnetic field which extends beyond the material itself. An electromagnetic device has been built to detect this magnetic field and thus monitor the dynamic stresses. This method provides a noncontacting means of measuring strain in structures with improved sensitivity.     

Effect of the axial scraping velocity on enhanced heat exchangers

The flow pattern within an enhanced tubular heat exchanger equipped with a reciprocating scraping device is experimentally analysed. The insert device, specially designed to avoid fouling and to enhance heat transfer, has also been used to produce ice slurry. It consists of several circular perforated scraping discs mounted on a coaxial shaft. The whole is moved alternatively along the axial direction by a hydraulic cylinder.The phase-averaged velocity fields of the turbulent flow have been obtained with PIV technique for both scraping semi-cycles. Special attention has been paid to the effect of the non-dimensional scraping velocity and the Reynolds number in the flow field. CFD simulations provide support for the identification of the flow patterns and the parameter assessment extension.The results show how the scraping parameters affect the turbulence level produced in the flow and therefore the desired heat transfer enhancement.     

Embedded markers to measure strain in extremely soft materials

This paper presents an experimental method for measuring the displacement fields in extremely soft materials and the subsequent analysis of the data to yield the stress field. The stresses in soft materials are difficult to measure by transducers because the measurement device can easily alter the quantity to be measured. In this study, strains in seat cushions and in the buttock model are indicated by lead markers and recorded on X-ray films. The method is different from previous grid methods in that the strains can be measured in any plane inside a three dimensional model. The lead-ball matrix gives a clear picture of the overall displacement field and areas of high strain. The displacement data are converted to a digital form and analyzed on a computer. Two separate aspects of the computer analysis are discussed in detail in this paper. First, by curve fitting, the hydrostatic pressure gradient is obtained. Second, a finite-element model with the displacement data as input yields a set of stress contours.     

Measurement of instantaneous Eulerian acceleration fields by particle image accelerometry: method and accuracy

Acceleration is a fundamental quantity in fluid mechanics because it reflects the sum of all forces (pressure and viscous) present within the flow. However, measurements of acceleration have been difficult to achieve relative to the ease with which fluid velocity can be measured. A particle image accelerometer (PIA) has been developed to measure Eulerian acceleration fields by time-differencing successive measurements of the Eulerian velocity field as measured by particle image velocimetry (PIV). The measurements can also be made in uniformly translating frames. With current video camera technology, it is often not possible to measure the two velocity fields with a time separation sufficiently small enough to permit accurate finite difference approximation of the time derivative. A two-CCD-camera system has been developed to alleviate this limitation. Polarization filtering is utilized to separate the particle images viewed by each camera. The polarization filtering is achieved using cross-polarized light-sheets and a polarization filter just upstream of the imaging optics of the cameras. In this manner, PIV measurements can be achieved easily at time delays several orders of magnitude smaller than the shutter-time of the CCD cameras. The accuracy of the acceleration measurements is determined by numerical finite differencing errors and random noise and bias errors associated with the measurement of velocity. These errors, and methods of compensating for them, are studied.     

A laboratory investigation of ground erosion and dust generation by air cushion vehicles

The erosion process which occurs when an air cushion vehicle (ACV) passes over certain types of surface material has been investigated. Experiments were conducted in laboratory apparatus which simulates conditions under the edge of an ACV skirt.

Tests were carried out on three samples of dry erodible materials for a variety of cushion parameters. Representative photographs and data on time rates of erosion are presented. The results indicate that erosion rates are proportional to cushion pressure to the power 3/2 and that skirt angle, hoverheight and time since start of a run are of secondary importance. The results and analysis indicate that erosion rates are independent of particle size when this exceeds about 0.1 mm.     

Stress field tomography based on 3D photoelasticity

A tomographic method for identification of stress fields based on 3D photoelasticity has been developed. A second order tensor field tomographic method based on the general inverse problem of 3D photoelasticity, previously developed by the authors, is found to be highly sensitive to errors in photoelastic observations. In this study a new tomographic method for stress field with fairly high robustness to errors in photoelastic observations has been developed by introducing both equilibrium condition and linear elasticity to the previously developed general tensor field tomographic method. This new stress field tomographic method expands unknown 3D stress distributions as a linear combination of independent set of basis functions and a new inverse problem is posed: identify the amplitudes of basis functions based on photoelastic observations. Just as the inverse problem of 3D photoelasticity, this newly posed inverse problem is also nonlinear and ill posed. Unlike conventional approaches to 3D photoelasticity, both these nonlinearity and ill-posedness are properly treated using a load incremental approach. Load incremental approach chops the nonlinear solution space into segments with unique solutions by conducting photoelastic observations at sufficiently small increments in external load. Validating both numerically and experimentally, it is shown that this new stress field tomographic method has sufficient robustness against errors in photoelastic observations and is applicable to experimental stress measurements.     

A novel rigid wheel for agricultural machinery applicable to paddy field with muddy soil

The working performance of agricultural machinery is largely determined by the walking performance of the wheel when driving in complex unstructured soil. However, the driving performance of existing wheels is not satisfactory for paddy field with muddy soil. The purpose of the current study is therefore to propose a novel rigid wheel for agricultural machinery which is applicable to paddy field with muddy soil. Firstly, a novel arc edge shaped wheel was designed based on the principles of mechanics on the ground. Then the driving performance of this arc edge shaped wheel was evaluated using FE modeling of interaction between rigid wheel and soil. Finally, the structure originally designed arc edge shaped wheel was improved according to FE modeling results, and this improved design was further evaluated by both FE simulation and prototype experiments. Both FE modeling and experimental results indicate that the improved arc edge shaped wheel proposed in this study has a good driving performance with regarding to wheel sinkage and soil reaction force. The proposed arc edge shaped wheel could be used as an effective component of rice harvester for paddy field with muddy soil.     

A multiblock Navier–Stokes algorithm using equal-order quadratic finite elements

A new multiblock pressure-based finite element algorithm has been developed. This methodology implements quadratic interpolation for both the elemental velocity and pressure fields. A direct streamline upwinding scheme previously developedby the authors is used to model the non-linear inertia effects. Details of the algorithm and its multiblock foundation are provided along with validating test cases. The results presented clearly demonstrate the accuracy of this new approach and the differences in the pressure field for an element using quadratic versus the traditional bi linear approximation of the pressure field.     

高温超导带材多场特性测试系统研制进展(Ⅰ)

高温超导带材具有高的临界电流密度,高磁场下优异的载流特性以及良好的成型性在强电领域如高场磁体、超导电缆等方面应用潜力巨大。在其应用过程中,不可避免的低温-大电流-强磁场环境将对超导材料的载流能力产生影响,而加工过程中的残余应力以及洛伦兹力的存在会显著的降低超导材料的临界电流,造成相应超导装置功能性难以达到设计要求、且成为重要的安全隐患。本文介绍一种新型的适用于超导带材的力-磁-电多场耦合测试系统,该系统目前采用浸泡式制冷,可实现的主要功能有:(1)超导材料临界电流密度测试;(2)拉伸应变对超导带材临界电流的影响研究;(3)磁场对超导带材临界电流的影响研究;(4)力磁耦合情形下超导材料临界电流的变化规律;(5)超导材料磁通稳定性测试。该设备的成功研制将为我国先进超导材料研发提供基础测试平台。