Optimization Design of the Multi-Layer Cross-Sectional Layout of An Umbilical Based on the GA-GLM

Marine umbilical is one of the key equipment for subsea oil and gas exploitation,which is usually integrated by a great number of different functional components with multi-layers.The layout of these components directly affects manufacturing,operation and storage performances of the umbilical.For the multi-layer cross-sectional layout design of the umbilical,a quantifiable multi-objective optimization model is established according to the operation and storage requirements.Considering the manufacturing factors,the multi-layering strategy based on contact point identification is introduced for a great number of functional components.Then,the GA-GLM global optimization algorithm is proposed combining the genetic algorithm and the generalized multiplier method,and the selection operator of the genetic algorithm is improved based on the steepest descent method.Genetic algorithm is used to find the optimal solution in the global space,which can converge from any initial layout to the feasible layout solution.The feasible layout solution is taken as the initial value of the generalized multiplier method for fast and accurate solution.Finally,taking umbilicals with a great number of components as examples,the results show that the cross-sectional performance of the umbilical obtained by optimization algorithm is better and the solution efficiency is higher.Meanwhile,the multi-layering strategy is effective and feasible.The design method proposed in this paper can quickly obtain the optimal multi-layer cross-sectional layout,which replaces the manual design,and provides useful reference and guidance for the umbilical industry.

Web Layout Design of Large Cavity Structures Based on Topology Optimization

Large cavity structures are widely employed in aerospace engineering, such as thin-walled cylinders, blades andwings. Enhancing performance of aerial vehicles while reducing manufacturing costs and fuel consumptionhas become a focal point for contemporary researchers. Therefore, this paper aims to investigate the topologyoptimization of large cavity structures as a means to enhance their performance, safety, and efficiency. By usingthe variable density method, lightweight design is achieved without compromising structural strength. Theoptimization model considers both concentrated and distributed loads, and utilizes techniques like sensitivityfiltering and projection to obtain a robust optimized configuration. The mechanical properties are checked bycomparing the stress distribution and displacement of the unoptimized and optimized structures under the sameload. The results confirm that the optimized structures exhibit improved mechanical properties, thus offering keyinsights for engineering lightweight, high-strength large cavity structures.

Optimizing trade-offs between light transmittance and intraspecific competition under varying crop layouts in a maize-soybean strip relay cropping system

Light is one of the most important environmental factors for plant growth and development.In relay cropping systems,crop layouts influence light distribution,affecting light use efficiency(LUE).However,the response of light interception,light conversion,and LUE for relay maize and relay soybean to different crop layouts remains unclear.We aimed to quantify the effect of crop layout on intraspecific and interspecific competition,light interception,light conversion,LUE,and land productivity between relay maize and relay soybean.We conducted a field experiment for four consecutive years from 2017 to 2020 in Sichuan province,China,comparing different crop layouts(bandwidth 2.0 m,row ratio 2:2;bandwidth 2.4 m,row ratio 2:3;bandwidth 2.8 m,row ratio 2:4),with sole maize and sole soybean as controls.The results showed that relay maize in the 2.0 m bandwidth layout had the largest leaf area index and plant biomass,the lowest intraspecific competitive intensity and the highest aggressiveness.Compared to a bandwidth of 2.0 m,a bandwidth of 2.8 m significantly decreased relay maize leaf area index by 11%and plant biomass by 24%,while a 2.4 m bandwidth caused roughly half these reductions.The 2.0 m bandwidth layout also significantly improved crop light interception and LUE compared to sole maize.The light interception,light interception rate,light conversion rate and LUE in relay maize all decreased significantly with increasing bandwidth,but they increased in relay soybean.The increased light transmittance to the lower and middle canopy with increasing bandwidth did not compensate for the loss of relay maize yield caused by increased intraspecific competition.However,it enhanced the yield of relay soybeans.Increasing the bandwidth by 80 cm increased the relay maize intraspecific competition by 580%,and reduced maize yield by 33%,light interception by 12%,and LUE by 18%.In contrast,the relay soybean intraspecific competition was reduced by 64%,and the soybean yield was increased by 26%,light interception by 32%and LUE by 46%.Relay cropping systems with a 2.0 m bandwidth optimize the trade-off between light transmittance and intraspecific competition of relay crops.These systems achieve the highest LUE,group yield and economic benefits,making them a recommended crop layout for the southwest regions of China.Our study offers valuable insights for developing strip relay cropping systems that maximize light utilization and contributes to the theoretical understanding of efficient sunlight use in relay cropping practices.

Development of Fixture Layout Optimization for Thin-Walled Parts:A Review

An increasing number of researchers have researched fixture layout optimization for thin-walled part assembly during the past decades.However,few papers systematically review these researches.By analyzing existing literature,this paper summarizes the process of fixture layout optimization and the methods applied.The process of optimization is made up of optimization objective setting,assembly variation/deformation modeling,and fixture layout optimization.This paper makes a review of the fixture layout for thin-walled parts according to these three steps.First,two different kinds of optimization objectives are introduced.Researchers usually consider in-plane variations or out-of-plane deformations when designing objectives.Then,modeling methods for assembly variation and deformation are divided into two categories:Mechanism-based and data-based methods.Several common methods are discussed respectively.After that,optimization algorithms are reviewed systematically.There are two kinds of optimization algorithms:Traditional nonlinear programming and heuristic algorithms.Finally,discussions on the current situation are provided.The research direction of fixture layout optimization in the future is discussed from three aspects:Objective setting,improving modeling accuracy and optimization algorithms.Also,a new research point for fixture layout optimization is discussed.This paper systematically reviews the research on fixture layout optimization for thin-walled parts,and provides a reference for future research in this field.

Performance-Oriented Layout Synthesis for Quantum Computing

Layout synthesis in quantum computing is crucial due to the physical constraints of quantum devices where quantum bits(qubits)can only interact effectively with their nearest neighbors.This constraint severely impacts the design and efficiency of quantum algorithms,as arranging qubits optimally can significantly reduce circuit depth and improve computational performance.To tackle the layout synthesis challenge,we propose an algorithm based on integer linear programming(ILP).ILP is well-suited for this problem as it can formulate the optimization objective of minimizing circuit depth while adhering to the nearest neighbor interaction constraint.The algorithm aims to generate layouts that maximize qubit connectivity within the given physical constraints of the quantum device.For experimental validation,we outline a clear and feasible setup using real quantum devices.This includes specifying the type and configuration of the quantum hardware used,such as the number of qubits,connectivity constraints,and any technological limitations.The proposed algorithm is implemented on these devices to demonstrate its effectiveness in producing depth-optimal quantum circuit layouts.By integrating these elements,our research aims to provide practical solutions to enhance the efficiency and scalability of quantum computing systems,paving the way for advancements in quantum algorithm design and implementation.

Optimizing wind farm layout for enhanced electricity extraction using a new hybrid PSO-ANN method

With the growing need for renewable energy,wind farms are playing an important role in generating clean power from wind resources.The best wind turbine architecture in a wind farm has a major influence on the energy extraction efficiency.This paper describes a unique strategy for optimizing wind turbine locations on a wind farm that combines the capabilities of particle swarm optimization(PSO)and artificial neural networks(ANNs).The PSO method was used to explore the solution space and develop preliminary turbine layouts,and the ANN model was used to fine-tune the placements based on the predicted energy generation.The proposed hybrid technique seeks to increase energy output while considering site-specific wind patterns and topographical limits.The efficacy and superiority of the hybrid PSO-ANN methodology are proved through comprehensive simulations and comparisons with existing approaches,giving exciting prospects for developing more efficient and sustainable wind farms.The integration of ANNs and PSO in our methodology is of paramount importance because it leverages the complementary strengths of both techniques.Furthermore,this novel methodology harnesses historical data through ANNs to identify optimal turbine positions that align with the wind speed and direction and enhance energy extraction efficiency.A notable increase in power generation is observed across various scenarios.The percentage increase in the power generation ranged from approximately 7.7%to 11.1%.Owing to its versatility and adaptability to site-specific conditions,the hybrid model offers promising prospects for advancing the field of wind farm layout optimization and contributing to a greener and more sustainable energy future.

GNN Representation Learning and Multi-Objective Variable Neighborhood Search Algorithm for Wind Farm Layout Optimization

With the increasing demand for electrical services,wind farm layout optimization has been one of the biggest challenges that we have to deal with.Despite the promising performance of the heuristic algorithm on the route network design problem,the expressive capability and search performance of the algorithm on multi-objective problems remain unexplored.In this paper,the wind farm layout optimization problem is defined.Then,a multi-objective algorithm based on Graph Neural Network(GNN)and Variable Neighborhood Search(VNS)algorithm is proposed.GNN provides the basis representations for the following search algorithm so that the expressiveness and search accuracy of the algorithm can be improved.The multi-objective VNS algorithm is put forward by combining it with the multi-objective optimization algorithm to solve the problem with multiple objectives.The proposed algorithm is applied to the 18-node simulation example to evaluate the feasibility and practicality of the developed optimization strategy.The experiment on the simulation example shows that the proposed algorithm yields a reduction of 6.1% in Point of Common Coupling(PCC)over the current state-of-the-art algorithm,which means that the proposed algorithm designs a layout that improves the quality of the power supply by 6.1%at the same cost.The ablation experiments show that the proposed algorithm improves the power quality by more than 8.6% and 7.8% compared to both the original VNS algorithm and the multi-objective VNS algorithm.

Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing. Despite these advancements, efficiently programming GPUs remains a daunting challenge, often relying on trial-and-error optimization methods. This paper introduces an optimization technique for CUDA programs through a novel Data Layout strategy, aimed at restructuring memory data arrangement to significantly enhance data access locality. Focusing on the dynamic programming algorithm for chained matrix multiplication—a critical operation across various domains including artificial intelligence (AI), high-performance computing (HPC), and the Internet of Things (IoT)—this technique facilitates more localized access. We specifically illustrate the importance of efficient matrix multiplication in these areas, underscoring the technique’s broader applicability and its potential to address some of the most pressing computational challenges in GPU-accelerated applications. Our findings reveal a remarkable reduction in memory consumption and a substantial 50% decrease in execution time for CUDA programs utilizing this technique, thereby setting a new benchmark for optimization in GPU computing.

基于网格归一化Astar算法的船舶管路布置

为解决船舶管路布置方法中目前存在的依靠人工经验调节算法参数,权重系数的设置量级差距较大,以及求解布置方案单一的问题,提出一种网格归一化Astar (GNAstar)的布置方法.首先,采用包围盒和网格法建立数学模型.其次,通过分支管路拆分、网格标记值和父子网格搜索策略,使每一路径节点由不同目标的归一化权重值来共同决定,将传统Astar算法仅考虑长度的目标扩展成包括长度、弯头消耗和安装适用性的管路综合布置目标.最后,通过仿真案例将GNAstar算法与传统Astar算法进行对比分析,并以船舶机舱内不同管路系统为例,与文献中的蚁群算法和粒子群-Astar算法开展进一步比较.结果表明,GNAstar算法可获得有效的工程解,设计人员可通过设置不同目标的归一化权重系数来获得相应的布置方案.

明代勺园水系空间格局及其景观意象营造研究

米万钟在北京修建的勺园是晚明时期私家园林的传世经典之作。借助明代勺园的历史图像及文献中形象与意象的描述,探讨水系景观在晚明时期园林中的积极作用;从空间营造视角出发,深度剖析园林水系景观的营造内核;将研究视点从平面图像转移到园林空间体系,明晰勺园水系景观一河两岸的空间格局,并梳理勺园水系景观意象与营造思想;最终通过分析明代水系景观空间格局的转变,探究晚明时期政治背景、文化内涵及时代风格等对园林水景空间的影响,探寻明代北方园林水系景观形成的历史契机与意义。旨在丰富现有传统园林水系景观营造理论,将水系景观空间作为继承园林文化传统的重要支撑,为当代园林水系景观营造及研究提供理论依据。

教育、科技、人才一体化布局下高校有组织科研的治理创新

高校是构建教育、科技、人才一体化布局的关键一环。通过对一体化布局的体系构成、结构逻辑与网络特征进行考察和分析,指出高校科技创新是推进教育、科技、人才一体化建设的重要结合点。回顾和总结党的十八大以来党领导高校科技创新取得的历史性进展与宝贵经验,指出有组织科研将引发高校科技创新的深刻变革。作为大学治理的重要组成部分,加快高校科技创新治理结构的网络化育成,是推动和实现高校有组织科研治理创新的前提和基础。在新时代新征程上,应从充分发挥新型举国体制优势、全面提升高校科技创新体系整体效能、构建以“人”为中心的科技创新治理体系等方面着手,探索以治理创新推进高校有组织科研的实践进路。

基于建筑高度与布局形式的街区夏季风、热环境模拟与优化

为了分析建筑高度与布局形式对城市风、热环境的影响,从而通过优化街区建筑格局改善城市风、热环境质量,构建3种建筑高度、4种布局形式下街区的建筑三维模型,采用Fluent软件模拟12种建筑格局条件下街区夏季的风、热环境,选用风速、温度、舒适指数等分析街区高度为1.5 m处的风、热环境特征;以山东省青岛市某街区为例,模拟并优化街区夏季高度为1.5 m处的风、热环境。结果表明:行列式布局街区的风场、温度场与舒适指数分布均匀,舒适区面积比最大,平均温度、高温区面积比和舒适指数较小,风、热环境质量最佳;围合式布局街区的静风区面积比、温度与舒适指数高值区面积较大,风、热环境质量最差;建筑高度与布局形式对街区风、热环境影响显著;随着街区建筑高度的增大,风、热环境质量劣化;多层建筑街区风场、温度与舒适指数分布均匀,通风效率较高,热量容易扩散,风、热环境质量最佳;高层建筑街区风速与风影区面积较大,热量扩散困难,风、热环境质量较差;通过调整建筑布局形式、体型、拆除部分建筑等优化措施能有效改善街区的风、热环境质量。

国家水土保持科技示范园分布现状和布局思考

水土保持科技示范园是水土保持高质量发展的集中展示,发挥着示范引领、宣传教育、科学普及、科技推广等功能和服务。国家水土保持科技示范园创建工作于2004年开始,2007年命名了第一批国家水土保持科技示范园。截至2024年底,全国共有国家水土保持科技示范园166个,遍及全国30个省(自治区、直辖市)。通过分析国家水土保持科技示范园在流域、行政区、地域、水土保持区划、水土流失重点防治区、水土流失类型、城乡7个方面的分布特征,发现其存在分布不均衡、布局不科学、顶层设计缺失、人均数量差异大等问题,并提出各级行政区逐步覆盖、水土保持三级区划基本覆盖、推动重点区域建设等布局建议,以及统筹谋篇布局、强化政策引领、依托重点工程、加强共建共享等发展建议。

Study on the general layout of semi-submersible offshore drilling platforms based on process flow

The general layout of 6th generation semi-submersible drilling platforms is the main factor impacting the efficiency of their drilling operations. This paper provides a compound/integrated algorithm based on process flow that is aimed at improving efficiency, while giving attention to stability and safety at the same time. The paper describes the process flow of dual drilling centers and a hierarchical division of rigs based on the different modes of transportation of various drilling support systems. The general layout-centripetal overall arrangement spatially was determined based on drilling efficiency. We derived our modules according to drilling functionality; the modules became our basic layout units. We applied different layout algorithm to mark out the upper and lower decks. That is, the upper deck was designed based on the lowest transportation cost while the lower deck＇s calculations were based on the best-fit scope. Storage configurations in columns and pontoons were also considered for the layout design. Finally the center of gravity was taken into consideration and the general layout was adjusted accordingly, to result in an optimal center of gravity. The methodology of the general layout can provide a reference for implementation of domestic designs of semi-submersible rigs.

NOVEL APPROACH TO LOCATOR LAYOUT OPTIMIZATION BASED ON GENETIC ALGORITHM

Proper fixture design is crucial to obtain the better product quality according to the design specification during the workpiece fabrication. Locator layout planning is one of the most important tasks in the fixture design process. However, the design of a fixture relies heavily on the designerts expertise and experience up to now. Therefore, a new approach to loeator layout determination for workpieces with arbitrary complex surfaces is pro- posed for the first time. Firstly, based on the fuzzy judgment method, the proper locating reference and locator - numbers are determined with consideration of surface type, surface area and position tolerance. Secondly, the lo- cator positions are optimized by genetic algorithm（GA）. Finally, a typical example shows that the approach is su- perior to the experiential method and can improve positioning accuracy effectively.

Plane Layout Features of Residential Courtyards in Henan

The traditional houses with various forms in Henan province experienced thousands of years.Its courtyard appearance which changes greatly can be summarized into four types:quadrangle,three-section compound,kiln housing and mountainous housing.In this paper,the courtyard of the showing width of 1-2 rooms are called the narrow-type courtyard,with 2-3 rooms are called the wide-type courtyard,with less one room is called very narrow-type courtyard,and with over three rooms are called very wide-type courtyard.

主动回波控制的阵列布局设计与优化

针对水下航行器覆盖层厘米级厚度与米级低频探测波长的尺度矛盾难题,通过超磁致伸缩换能器次级发射阵元研制及发射单元表面构型优化,基于相控阵的主动回波控制方法开展水下大试样主动回波控制效果的仿真评估。通过声学有限元模型数值仿真与大型压力消声水罐中的试验数据对比,验证空间声场中3个位置的声压级与声压云图,并研究不同阵列布局在300~2000 Hz的低频带范围内6个频率点的声场一致性。研究结果表明:频率越高,形成的平面声场一致性越差;以方盘为阵元的阵列形成的平面声场一致性优于圆盘阵列;最优阵列布局可在10 m后形成较好的平面声场,配合发射单元的最优构型进一步改善主动回波控制下的声场均匀程度,以达到更好的控制效果。

Research on the rationality of artificial reef layout of Dashentang

By the means of technology of CFD （Computational Fluid Dynamics）, this research has studied the surrounding flow field effect of different combination of artificial reefs. In the study, four kinds of configurations are used to simulate numerically and these are ＂444＂ three columns, ＂464＂ three columns, ＂12345＂ five triangles and the ＂34543＂ five column regular hexagon .The result shows that the combination of artificial reefs of Dashentang can play a good role in regulating the reefs.

Fame:A Fast Detailed Placement Algorithm for Standard\| Cell Layout Based on Mixed Mincut and Enumeration

Rapid progress in manufacturing greatly challenges to the VLSI physical design in both speed and performance. A fast detailed placement algorithm, FAME is presented in this paper, according to these demands. It inherits the optimal positions of cells given by a global placer and exact position to each cell by local optimization. FM Mincut heuristic and local enumeration are used to optimize the total wirelength in y and x directions respectively, and a two way mixed optimizing flow is adopted to combine the two methods for a better performance. Furthermore, a better enumeration strategy is introduced to speed up the algorithm. An extension dealing with blockages in placement has also been discussed. Experimental results show that FAME runs 4 times faster than RITUAL and achieves a 5% short in total wirelength on average.

Total Ionizing Dose Radiation Effects on MOS Transistors with Different Layouts

Both nMOS and pMOS transistors with two-edged and multi-finger layouts are fabricated in a standard commercial 0.6μm CMOS/bulk process to study their total ionizing dose （TID） radiation effects. The leakage current, threshold voltage shift, and transconductance of the devices are monitored before and after T-ray irradiation. Different device bias conditions are used during irradiation. The experiment results show that TID radiation effects on nMOS devices are very sensitive to their layout structures. The impact of the layout on TID effects on pMOS devices is slight and can be neglected.