Bridge engineering is highly specialized and has spatial characteristics,which puts forward higher requirements for design work.The advancement of information technology has provided ample tools to facilitate bridge d...Bridge engineering is highly specialized and has spatial characteristics,which puts forward higher requirements for design work.The advancement of information technology has provided ample tools to facilitate bridge design work,with building information modeling(BIM)technology being one of them.BIM technology ensures the efficiency and quality of the forward design of bridges,while also reducing construction costs.This article starts with defining the concept of BIM technology,followed by a discussion on its advantages in bridge design and application process,which serves as a reference for other bridge designers.展开更多
The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing...The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.展开更多
根据方位特征集(Position and Orientation Characteristics,POC),提出了一种单输入多维输出的2RRS-S并联机构。分析了其拓扑结构、自由度及耦合度;采用基于耦合度的拓扑特征运动建模方法,建立了机构的运动正解模型,并通过仿真模型进行...根据方位特征集(Position and Orientation Characteristics,POC),提出了一种单输入多维输出的2RRS-S并联机构。分析了其拓扑结构、自由度及耦合度;采用基于耦合度的拓扑特征运动建模方法,建立了机构的运动正解模型,并通过仿真模型进行了验证;根据物料混合要求,设计了基于2RRS-S并联机构的多维混合机三维模型,仿真模拟了其运动轨迹以及姿态角的运动特征;以增大动平台姿态角变化量为目标函数,采用差分进化算法对机构的尺度参数进行优化,所得机构比优化前具有更好的混合运动性能。展开更多
A six-element Yagi-Uda array is optimally designed using Central Force Optimization (CFO) with a small amount of pseudo randomly injected negative gravity. CFO is a simple, deterministic metaheuristic analogizing grav...A six-element Yagi-Uda array is optimally designed using Central Force Optimization (CFO) with a small amount of pseudo randomly injected negative gravity. CFO is a simple, deterministic metaheuristic analogizing gravitational kinematics (motion of masses under the influence of gravity). It has been very effective in addressing a wide range of antenna and other problems and normally employs only positive gravity. With positive gravity the six element CFO-designed Yagi array described here exhibits excellent performance with respect to the objectives of impedance bandwidth and forward gain. This paper addresses the question of what happens when a small amount of negative gravity is injected into the CFO algorithm. Does doing so have any effect, beneficial, negative or neutral? In this particular case negative gravity improves CFO’s exploration and creates a region of optimality containing many designs that perform about as well as or better than the array discovered with only positive gravity. Without some negative gravity these array configurations are overlooked. This Yagi-Uda array design example suggests that antennas optimized or designed using deterministic CFO may well benefit by including a small amount of negative gravity, and that the negative gravity approach merits further study.展开更多
运输类飞机适航条款明确规定空气涡轮起动机等含高能转子的设备必须具备足够的轮盘破裂包容能力,但国内相关单位普遍缺乏空气涡轮起动机包容结构的正向优化设计方法。为解决该问题,本文采用有限元数值仿真方法开发出多参数优化的自动化...运输类飞机适航条款明确规定空气涡轮起动机等含高能转子的设备必须具备足够的轮盘破裂包容能力,但国内相关单位普遍缺乏空气涡轮起动机包容结构的正向优化设计方法。为解决该问题,本文采用有限元数值仿真方法开发出多参数优化的自动化计算软件平台和流程,通过建立包容环结构的多参数实验设计(Design of Experiments,DOE)样本数据库,根据样本数的优化结果构建Kriging近似模型,并利用有限元计算获得最优的结构设计参数。该方法选取U形包容环截面的厚度δ,槽宽a,槽深h和槽缘宽s等参数进行优化,采用数值仿真和试验验证相结合的方式进行对比分析。结果表明,优化后的包容环径向变形量可达到29.7%,相比于优化前的18.9%具有明显提升;优化后的包容环径向变形更充分、吸能效果更好,在相同包容性条件下减重效果高达38%。通过采用本文提出的结构优化设计方法,实现了某型空气涡轮起动机包容环的正向优化设计,该方法可用于在役空气涡轮起动机包容环的优化与新型号空气涡轮起动机包容环设计。展开更多
【目的】压气储能(compressed air energy storage,CAES)是利用电能和压缩空气势能相互转化来平衡电网波动的新型储能系统。CAES电站建造及运行相关经验的积累对CAES技术的发展具有重要意义。针对建造过程中设计方与现场信息传递效率低...【目的】压气储能(compressed air energy storage,CAES)是利用电能和压缩空气势能相互转化来平衡电网波动的新型储能系统。CAES电站建造及运行相关经验的积累对CAES技术的发展具有重要意义。针对建造过程中设计方与现场信息传递效率低、施工方管控难度大、项目整体流程监督难等问题,提出了一种适用于CAES电站的全流程智能体系。【方法】首先,分析CAES电站的建造流程,找出其工程特点。其次,围绕CAES电站从设计到运维的全过程,在空间和时间维度构建CAES电站的全流程智能建造体系。最后,在设计阶段提出正向设计出图等关键技术;在装备制造阶段提出设备虚拟预组装等关键技术;在施工阶段提出5D施工管理等关键技术;在运维阶段提出面向运维的数据交付等关键技术。【结果】对某300 MW级CAES示范工程的验证结果表明,CAES电站全流程智能体系的构建具有合理性,且关键设备及软件的应用为项目提供了技术支撑。【结论】通过CAES电站全流程智能体系及其关键技术,打通了电站建造各阶段的互通链条,实现了CAES电站的全生命周期信息管理。展开更多
文摘Bridge engineering is highly specialized and has spatial characteristics,which puts forward higher requirements for design work.The advancement of information technology has provided ample tools to facilitate bridge design work,with building information modeling(BIM)technology being one of them.BIM technology ensures the efficiency and quality of the forward design of bridges,while also reducing construction costs.This article starts with defining the concept of BIM technology,followed by a discussion on its advantages in bridge design and application process,which serves as a reference for other bridge designers.
文摘The integration of entire supply and value chain into a closed loop network is gaining more importance in recent times in order to ensure a business to be economically and environmentally sustainable with the changing trends in business and social environments, growing environmental consciousness in the society and government legislations to protect the environment as well as the business. In this context, this paper considers a multi-echelon closed loop supply chain network design with forward and reverse logistics components. An attempt has been made to develop a mixed integer non-linear programming model for this problem with different costs so that the sum of the total cost is minimized subject to different constraints pertaining to capacities of the entities of the system, demands of first customers and second customers. A generalized model is presented and then its application is illustrated using an example problem by solving the model using LINGO14. This model forms as a tool to compare future meta-heuristics to check the closeness of their solutions with corresponding optimal solutions.
文摘根据方位特征集(Position and Orientation Characteristics,POC),提出了一种单输入多维输出的2RRS-S并联机构。分析了其拓扑结构、自由度及耦合度;采用基于耦合度的拓扑特征运动建模方法,建立了机构的运动正解模型,并通过仿真模型进行了验证;根据物料混合要求,设计了基于2RRS-S并联机构的多维混合机三维模型,仿真模拟了其运动轨迹以及姿态角的运动特征;以增大动平台姿态角变化量为目标函数,采用差分进化算法对机构的尺度参数进行优化,所得机构比优化前具有更好的混合运动性能。
文摘A six-element Yagi-Uda array is optimally designed using Central Force Optimization (CFO) with a small amount of pseudo randomly injected negative gravity. CFO is a simple, deterministic metaheuristic analogizing gravitational kinematics (motion of masses under the influence of gravity). It has been very effective in addressing a wide range of antenna and other problems and normally employs only positive gravity. With positive gravity the six element CFO-designed Yagi array described here exhibits excellent performance with respect to the objectives of impedance bandwidth and forward gain. This paper addresses the question of what happens when a small amount of negative gravity is injected into the CFO algorithm. Does doing so have any effect, beneficial, negative or neutral? In this particular case negative gravity improves CFO’s exploration and creates a region of optimality containing many designs that perform about as well as or better than the array discovered with only positive gravity. Without some negative gravity these array configurations are overlooked. This Yagi-Uda array design example suggests that antennas optimized or designed using deterministic CFO may well benefit by including a small amount of negative gravity, and that the negative gravity approach merits further study.
文摘运输类飞机适航条款明确规定空气涡轮起动机等含高能转子的设备必须具备足够的轮盘破裂包容能力,但国内相关单位普遍缺乏空气涡轮起动机包容结构的正向优化设计方法。为解决该问题,本文采用有限元数值仿真方法开发出多参数优化的自动化计算软件平台和流程,通过建立包容环结构的多参数实验设计(Design of Experiments,DOE)样本数据库,根据样本数的优化结果构建Kriging近似模型,并利用有限元计算获得最优的结构设计参数。该方法选取U形包容环截面的厚度δ,槽宽a,槽深h和槽缘宽s等参数进行优化,采用数值仿真和试验验证相结合的方式进行对比分析。结果表明,优化后的包容环径向变形量可达到29.7%,相比于优化前的18.9%具有明显提升;优化后的包容环径向变形更充分、吸能效果更好,在相同包容性条件下减重效果高达38%。通过采用本文提出的结构优化设计方法,实现了某型空气涡轮起动机包容环的正向优化设计,该方法可用于在役空气涡轮起动机包容环的优化与新型号空气涡轮起动机包容环设计。
文摘【目的】压气储能(compressed air energy storage,CAES)是利用电能和压缩空气势能相互转化来平衡电网波动的新型储能系统。CAES电站建造及运行相关经验的积累对CAES技术的发展具有重要意义。针对建造过程中设计方与现场信息传递效率低、施工方管控难度大、项目整体流程监督难等问题,提出了一种适用于CAES电站的全流程智能体系。【方法】首先,分析CAES电站的建造流程,找出其工程特点。其次,围绕CAES电站从设计到运维的全过程,在空间和时间维度构建CAES电站的全流程智能建造体系。最后,在设计阶段提出正向设计出图等关键技术;在装备制造阶段提出设备虚拟预组装等关键技术;在施工阶段提出5D施工管理等关键技术;在运维阶段提出面向运维的数据交付等关键技术。【结果】对某300 MW级CAES示范工程的验证结果表明,CAES电站全流程智能体系的构建具有合理性,且关键设备及软件的应用为项目提供了技术支撑。【结论】通过CAES电站全流程智能体系及其关键技术,打通了电站建造各阶段的互通链条,实现了CAES电站的全生命周期信息管理。
