双通线加热的热力学及实验分析(英文)

The present investigation deals with process analysis of oxy-acetylene flame assisted double pass line heating for varying plate thickness. oxy-acetylene flame as the heat source for multi pass line heating to achieve 3-D bending of plates with varying thicknesses was studied. The oxy-acetylene flame was modeled as the moving heat source in the FEM analysis. The transient thermal histories were predicted taking into account the temperature dependent thermo-mechanical properties. A comparative study between single pass and double pass line heating residual deformation was also carried out. The temperature distribution and residual deformations predicted by the numerical model developed in the present work compared fairly well with those of the experimental ones.     

体积噪声场和界面噪声场中声矢量传感器线阵阵增益分析

Acoustic vector sensor consists of pressure and particle velocity sensors,which measure the three-dimensional acoustic particle velocity,as well as the pressure at one location at the same time.By preserving the amplitude and phase information of the pressure and particle velocity,they possess a number of advantages over traditional scalar sensors.Signal-to-noise ratio (SNR) gain (which is often called array gain) is one of such advantages and is always interested by all of us.But it is not unchangeable if the spatial correlation of the noise field varies.Much more important,it is difficult to be given if the noise becomes complex.In this paper,spatial correlation of the vector field of isotropic volume-noise and surface-generated noise has been introduced briefly.Based on the results,the combined SNR output of a vector linear array is investigated and the maximum gain is given in the specified noise.Computer simulation shows that the output of one array in the same noise is not the same in different gestures.And then we find the best gesture through SNR calculation and obtain the biggest gain,which has important meaning to guide how to deploy an array in practice.We also should use the array with respect to the characteristics of the real ambient noise,especially in anisotropic noise field.     

Experimental Investigation of TARMAX Model for Modeling of Hydrodynamic Forces on Cylinder-like Structures

A new approach that models lift and drag hydrodynamic force signals operating over cylindrical structures was developed and validated. This approach is based on stochastic auto regressive moving average with exogenous (ARMAX) input and its time-varying form, TARMAX. Model structure selection and parameter estimation were discussed while considering the validation stage. In this paper, the cylindrical structure was considered as a dynamic system with an incoming water wave and resulting forces as the input a...     

《中华人民共和国船舶及其有关作业活动污染海洋环境防治管理规定》解读

《中华人民共和国船舶及其有关作业活动污染海洋环境防治管理规定》日前已经交通运输部部务会议通过,并以2010年第7号部令公布,自2011年2月1日起施行。作为《防治船舶污染海洋环境管理条例》的重要配套规章,该规定共七章六十二条,对条例相关制度的操作予以细化。为便于公众理解,交通运输部海事局副局长黄何特就该规定的相关内容进行了解读。     

屏蔽电缆的电磁脉冲时域耦合特性研究

屏蔽电缆对电磁脉冲辐射场的耦合特性对电子设备、系统的电磁干扰控制和电磁脉冲防护具有重要意义。研究屏蔽电缆的双传输线模型分析方法,计算不同频段电磁脉冲辐射场激励下,两种典型的屏蔽电缆在屏蔽层两端不同接地状态时,屏蔽层和芯线上的感应电流。编织屏蔽电缆芯线上的感应电流比管状屏蔽电缆大几个数量级;由于集肤效应的影响,管状屏蔽电缆芯线上的耦合随着频率的升高而降低;编织屏蔽电缆由于编织电感和小孔电感的影响,芯线上的耦合随着频率的升高而升高。对于高灵敏的高频、微波系统,对电磁脉冲的防护时要选用管状屏蔽电缆。     

槽型舱壁极限强度的数值分析

通过采用ANSYS软件,在考虑几何和材料非线性的基础上,对系列槽型舱壁在线性静水压下的极限强度进行了有限元数值分析。讨论了不同槽型角度、板厚、边界约束形式及用钢量等对槽型舱壁极限承载力的影响。经过计算分析发现,槽型角度及板厚的增加均对槽体极限强度和单位用钢量有影响,但前者的增加对槽体极限强度的提高更有效;舱壁约束对结构的极限承载力有较大影响;合理的边界条件能较大提高其结构承载能力。     

固体清除剂吸附CO_2容量的测定

固体清除剂吸附CO2容量常用的测定方法有流量法、重量法、量气法和滴定法。用这些方法对常温下LiOH、KO2、LiOH-KO2-Ca(OH)2和弱碱性纤维等固体清除剂吸附CO2的吸附容量进行分析。当动力学流程中总流量为30L、CO2浓度为1%;或密闭空间内通入CO2流量为120L/h时,由于吸附容量测试方法不同,固体清除剂吸附CO2容量的数值存在一定差异,其大小顺序为:流量法>重量法>滴定法>量气法。     

A multiobjective chance constrained programming model for supplier selection under uncertainty

Risk management is an inherent part of supplier selection. While companies are enjoying the benefits of outsourcing, risks brought by this practice should be taken into account in the process of decision making. This paper presents a multiobjective stochastic sequential supplier allocation model to help in supplier selection under uncertainty. Demand for products, capacities at suppliers as well as transportation and other variable costs are the main sources of uncertainty and are modeled using probability distributions. Disruptions are exogenous events and the model provides proactive mitigation strategies against disruptions by assigning backup suppliers who can be used in case of a default at a primary supplier. When there is no disruption, the model’s solution is an optimal supplier order assignment, considering operational risks.     

A frequency-based maritime container assignment model

This paper transfers the classic frequency-based transit assignment method of Spiess and Florian to containers demonstrating its promise as the basis for a global maritime container assignment model. In this model, containers are carried by shipping lines operating strings (or port rotations) with given service frequencies. An origin–destination matrix of full containers is assigned to these strings to minimize sailing time plus container dwell time at the origin port and any intermediate transhipment ports. This necessitated two significant model extensions. The first involves the repositioning of empty containers so that a net outflow of full containers from any port is balanced by a net inflow of empty containers, and vice versa. As with full containers, empty containers are repositioned to minimize the sum of sailing and dwell time, with a facility to discount the dwell time of empty containers in recognition of the absence of inventory. The second involves the inclusion of an upper limit to the maximum number of container moves per unit time at any port. The dual variable for this constraint provides a shadow price, or surcharge, for loading or unloading a container at a congested port. Insight into the interpretation of the dual variables is given by proposition and proof. Model behaviour is illustrated by a simple numerical example. The paper concludes by considering the next steps toward realising a container assignment model that can, amongst other things, support the assessment of supply chain vulnerability to maritime disruptions.     

A single-period analysis of a two-echelon inventory system with dependent supply uncertainty

Disruptions and random supplies have been important sources of uncertainty that should be considered in the design and control of supply chains. There have been many real world examples in which a single catastrophic event has simultaneously degraded the capabilities of several suppliers leading to considerable erosion of profits and goodwill for a company. However, the literature on analytical models that account for the dependence nature of disruptions and its impact on supply chain performance is sparse.In this paper, we consider an m-manufacturer, 1-retailer, newsvendor inventory system with stochastically dependent manufacturing capacities, caused by random disruptions that may simultaneously inflict damages to the capacities of the manufacturers. We develop the structural/analytical properties of key performance measures and optimal inventory policies for the multi-source and assembly inventory systems. We show that stochastic dependence in disruptions can have opposite effects on system performance in the multi-source and assembly systems. While risk diversification is preferred in the multi-source system, risk concentration is preferred in the assembly system. Our results also suggest that, if the retailer ignores the effect of dependent disruptions, then in the multi-source structure, it would underestimate the cost, overestimate the fill rate, and order more units than the optimum; however, in the assembly structure, the opposite would happen. We perform a comprehensive numerical study to validate our analytical results and generate useful managerial and operational insights for effective risk management of supply chains in the presence of dependent supply uncertainty.