Structure and Infrastructure Engineering Journal Impact Factor & Information

Publisher: Taylor & Francis (Routledge)

Current impact factor: 1.45

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.454
2013 Impact Factor 0.954
2012 Impact Factor 2.805
2011 Impact Factor 0.966
2010 Impact Factor 0.592
2009 Impact Factor 0.847
2008 Impact Factor 1.191
2007 Impact Factor 0.442
2006 Impact Factor 0.182

Impact factor over time

Impact factor

Additional details

5-year impact 1.53
Cited half-life 3.60
Immediacy index 0.21
Eigenfactor 0.00
Article influence 0.47
ISSN 1744-8980

Publisher details

Taylor & Francis (Routledge)

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
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    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis (Routledge)'
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents an efficient model-updating method suitable for complex finite element model with shell and solid elements utilising static inspection data. Based on the standard parameter estimation procedure, a simplified parameterisation procedure based on engineering experience and static inspection was used. Moreover, the parameter estimation was conducted by stages according to the sensitivity level of parameters. To verify the effectiveness of the algorithm, a curvilinear steel box girder bridge is taken as a research case study. General damage detection and corresponding rehabilitation are conducted. It indicates that the parameterisation procedure can meet the practical engineering demands. The multistage model-updating method is more effective and efficient than direct model updating, especially when low sensitivity level parameters are removed from the parameter groups. The updated model can contribute to reveal the behaviour of the structure and can be used for related safety assessment and rehabilitation according to the case study. It is proved that the method shown in this paper works well for existing complex structures. It is sufficient for practical engineering demand and can provide useful reference for similar projects.
    Structure and Infrastructure Engineering 11/2015; 11(11). DOI:10.1080/15732479.2014.970202
  • [Show abstract] [Hide abstract]
    ABSTRACT: The use of computational algorithms is popular in method studies, especially in aspects of knowledge that relate to construction site layout modelling. However, extant approaches in these seldom support automated tracking of construction resources and available spaces. As a result, it is often time-consuming and subjective to auto-generate site layouts. This paper describes the development and implementation of a component level system that is capable of generating site layouts automatically. The system involves the integration of building information models, genetic algorithm (GA) and a radio frequency identification (RFID) system that has the capability to report object locations in real-time. System and software architectures are presented to illustrate the enabling technologies, sub-systems and software that are required to facilitate the developed system. A case study is also presented to demonstrate the functionality of the developed system. The practical implication of this research is such that the reported findings builds on gaps in previous scholarly work to develop a system that models site layouts and the associated costs automatically. Findings from the study also facilitate early signalling of pending delays as well as their immediate recovery protocols.
    Structure and Infrastructure Engineering 09/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: The small sample size of the annual maximum wind speed at a wind speed recording site causes uncertainty in the estimated return period of wind speed. The influence of this uncertainty on the estimated return period values of annual maximum wind speed and structural reliability is quantified in this study. The results show that the effect of statistical uncertainty due to limited sample size on the estimated return period value of the wind speed and structural reliability is largely reduced if the sample size is increased from 10 to 20. The implication of the results is discussed in terms of two alternative options to specify the factored design wind load: (i) a low return period for selecting nominal wind speed combined with a large wind load factor and (ii) a high return period for selecting nominal wind speed combined with unity wind load factor. It was concluded that option (i) is preferred to cope with sample size effect if the design in a region with statistically homogeneous wind climate; for code making with spatially varying coefficient of variation of annual maximum wind speed, the analysis results support the use of option (ii) since it leads to improved consistency of reliability.
    Structure and Infrastructure Engineering 07/2015; DOI:10.1080/15732479.2015.1050039

  • Structure and Infrastructure Engineering 06/2015; DOI:10.1080/15732479.2015.1038723
  • [Show abstract] [Hide abstract]
    ABSTRACT: In railway lines, transition zones between different track support conditions normally evidence higher degradation rates, thus requiring additional maintenance to ensure safety and service quality. Studies based on numerical simulations indicate that under sleeper pads (USP) can minimise those degradation rates. The study presented herein focuses on the influence of USP on the dynamic behaviour of transitions to underpasses, in an attempt to fill the gap between numerical and field studies. To that aim, the authors used finite element method models, calibrated and validated with field measurements. These models take into account the train–track interaction and include all relevant track components and backfill geomaterials. This study shows that soft USP have a significant influence over the track's dynamic behaviour: amplifying rail displacements and sleeper accelerations, and inducing abrupt variations in the track vertical stiffness and oscillations in train–track forces. To benefit from the use of USP, the authors highlight the need to carefully design stiffness properties of USP and determine their arrangement at transitions. An improved design for the transition zone is proposed.
    Structure and Infrastructure Engineering 12/2014; 11(11). DOI:10.1080/15732479.2014.970203
  • [Show abstract] [Hide abstract]
    ABSTRACT: The adequate seismic performance of transportation infrastructures is important for the functioning of the economy and society. This paper focuses on the seismic assessment and analysis of one of the most important components of these infrastructures, the bridges. In this field, nonlinear static procedures (NSPs) have gained significant attention, resulting in different proposals to improve the accuracy of the procedures while keeping their simplicity. The main goal of this study is focused on the evaluation of the applicability of NSPs for irregular reinforced concrete viaducts. A comparative approach is pursued by resorting to (1) the analyses of the performance of three well-known NSPs (N2 method, modal pushover analysis and adaptive capacity spectrum method) and (2) the extension of the scope of previous studies in this field to a more recent method, the extended N2. As such, a set of bridges with different levels of irregularity, configurations and lengths is investigated. The accuracy of different NSPs is evaluated by comparing the results of NSPs with the ones obtained by means of nonlinear dynamic analyses. The comparison of results confirms the acceptable performance of the multi-modal NSPs and highlights the effectiveness of extended N2 method with respect to its simplicity.
    Structure and Infrastructure Engineering 11/2014; DOI:10.1080/15732479.2014.983938