亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Mountain railway alignment optimization integrating layouts of large‐scale auxiliary construction projects

粒子群优化 计算机科学 Dijkstra算法 过程(计算) 比例(比率) 功能(生物学) 数学优化 算法 最短路径问题 理论计算机科学 数学 进化生物学 生物 操作系统 图形 物理 量子力学
作者
Taoran Song,Hao Pu,Paul Schonfeld,Liang Zhu,Ming Zhang,Jianping Hu,Yuhui Zhou,Zhanjun Xu
出处
期刊:Computer-aided Civil and Infrastructure Engineering [Wiley]
卷期号:38 (4): 433-453 被引量:26
标识
DOI:10.1111/mice.12839
摘要

Abstract Mountain railway alignment design is an important but complex civil engineering problem. To overcome the drastically undulating terrain, long tunnels and high bridges are major structures used along a mountain railway, which poses great challenges for railway design and construction. Unfortunately, despite being studied for many years, the crucial construction factors of complex structures have received slight attention in alignment optimization. In this paper, for the first time, the layout of large‐scale auxiliary construction projects (LACPs), including tunnel shafts and access roads, is incorporated into the alignment design process in order to consider construction practicability and economy. Primarily, an alignment–LACPs concurrent optimization model is built. After defining the comprehensive design variables, the alignment–LACPs total construction cost is formulated as the objective function. Besides, the separate constraints for designing the alignment and LACPs are considered. Also, a construction duration computation is proposed for constraining the alignment–LACPs integration. To solve the model, a four‐step hybrid solution method is developed. Specifically, the alignment is first generated with a particle swarm optimization (PSO). Afterward, a new divide and conquer approach is devised to search for shaft alternatives along the alignment. Then, a customized Dijkstra algorithm is developed to search for complex access roads. Finally, a novel polynomial mechanism for time‐varying acceleration coefficients (TVAC) is designed for PSO to evolve the alignment–LACPs solutions. The above model and methods have been applied to two complex actual mountain railway examples. Their effectiveness is demonstrated through detailed analysis of resulting railway solutions and control experiments with contemporary TVAC‐based methods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
结实尔珍完成签到,获得积分10
1秒前
13秒前
酷波er应助科研通管家采纳,获得10
14秒前
20秒前
lonepl完成签到,获得积分10
22秒前
搜集达人应助lonepl采纳,获得10
26秒前
大直发布了新的文献求助20
26秒前
28秒前
30秒前
房谷槐发布了新的文献求助10
34秒前
不瞌睡应助大直采纳,获得10
35秒前
42秒前
42秒前
claire发布了新的文献求助30
46秒前
obedVL完成签到,获得积分10
55秒前
1分钟前
1分钟前
开放的大侠完成签到,获得积分10
1分钟前
Ricardo完成签到 ,获得积分10
1分钟前
Orange应助陶醉小土豆采纳,获得10
1分钟前
李健应助wenbo采纳,获得10
1分钟前
1分钟前
1分钟前
FashionBoy应助柯代卫采纳,获得10
1分钟前
1分钟前
ltt应助oleskarabach采纳,获得10
1分钟前
Kuga应助oleskarabach采纳,获得10
1分钟前
千纸鹤完成签到 ,获得积分10
2分钟前
dax大雄完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
可达鸭发布了新的文献求助10
2分钟前
2分钟前
2分钟前
gaga发布了新的文献求助10
2分钟前
2分钟前
柯代卫发布了新的文献求助10
2分钟前
碳酸芙兰完成签到,获得积分10
2分钟前
高分求助中
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Future Approaches to Electrochemical Sensing of Neurotransmitters 1000
Electron microscopy study of magnesium hydride (MgH2) for Hydrogen Storage 1000
Finite Groups: An Introduction 800
壮语核心名词的语言地图及解释 700
ВЕРНЫЙ ДРУГ КИТАЙСКОГО НАРОДА СЕРГЕЙ ПОЛЕВОЙ 500
ВОЗОБНОВЛЕН ВЫПУСК ЖУРНАЛА "КИТАЙ" НА РУССКОМ ЯЗЫКЕ 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3906824
求助须知:如何正确求助?哪些是违规求助? 3452354
关于积分的说明 10870101
捐赠科研通 3178166
什么是DOI,文献DOI怎么找? 1755805
邀请新用户注册赠送积分活动 849100
科研通“疑难数据库(出版商)”最低求助积分说明 791352