scholarly journals Vehicle‐Bridge‐Interaction in the Dynamic Calculation of Railway Bridges: Case Study and Dynamic Analysis for 75 Existing Simply Supported Bridge Structures of the Austrian Railway Network

ce/papers ◽  
2019 ◽  
Vol 3 (3-4) ◽  
pp. 109-114
Author(s):  
Bernhard Glatz ◽  
Josef Fink
Keyword(s):  
Dynamic Analysis ◽  
Dynamic Calculation ◽  
Railway Network ◽  
Railway Bridges ◽  
Simply Supported ◽  
Bridge Structures

Case Study of the 156 m Simply Supported Steel Truss Railway Bridge

2017 ◽  
Vol 27 (4) ◽  
pp. 563-568 ◽  
Author(s):  
Xiangdong Yu ◽  
Yongle Deng ◽  
Bin Yan
Keyword(s):  
Railway Bridge ◽  
Simply Supported ◽  
Steel Truss

scholarly journals THE RAILWAY NETWORK AND THE PROCESS OF POPULATION CONCENTRATION IN SPAIN, 1900-2001

2014 ◽  
Vol 32 (3) ◽  
pp. 351-379 ◽  
Author(s):  
Xavier Franch-Auladell ◽  
Mateu Morillas-Torné ◽  
Jordi Martí-Henneberg
Keyword(s):  
Total Population ◽  
Census Data ◽  
Population Distribution ◽  
Historical Analysis ◽  
Railway Network ◽  
Population Concentration ◽  
Central Hypothesis ◽  
Municipal Level

ABSTRACTThis paper proposes a methodology for quantifying the territorial impact on population distribution of the railway. The central hypothesis is that access to railway services provides the best-connected areas with a long-term comparative advantage over others that are less accessible. Carrying out a historical analysis and providing comparable data at the municipal level allows us to determine the extent to which the railway has fostered the concentration of population within its immediate surroundings. The case study presented here is that of Spain between 1900 and 2001, but the same methodology could equally be applied to any other country for which the required data are available. In this case, key data included a Geographic Information System with information about both the development of the railway network and census data relating to total population at the municipal level. The results obtained suggest the relevance of this methodology, which makes it possible to identify the periods and areas in which this influence was most significant.

An Improved Ant Colony Optimization Algorithm for Solving the TSP Problem

2010 ◽  
Vol 26-28 ◽  
pp. 620-624 ◽  
Author(s):  
Zhan Wei Du ◽  
Yong Jian Yang ◽  
Yong Xiong Sun ◽  
Chi Jun Zhang ◽  
Tuan Liang Li
Keyword(s):  
Genetic Algorithm ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Convergence Time ◽  
Ant Colony Optimization Algorithm ◽  
Data Set ◽  
Research Attention ◽  
Simply Supported ◽  
Source Data

This paper presents a modified Ant Colony Algorithm(ACA) called route-update ant colony algorithm(RUACA). The research attention is focused on improving the computational efficiency in the TSP problem. A new impact factor is introduced and proved to be effective for reducing the convergence time in the RUACA performance. In order to assess the RUACA performance, a simply supported data set of cities, which was taken as the source data in previous research using traditional ACA and genetic algorithm(GA), is chosen as a benchmark case study. Comparing with the ACA and GA results, it is shown that the presented RUACA has successfully solved the TSP problem. The results of the proposed algorithm are found to be satisfactory.

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