Structure and Infrastructure Engineering Journal Impact Factor & Information

Publisher: Taylor & Francis (Routledge)

Journal description

Current impact factor: 0.95

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 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 2.47
Cited half-life 2.90
Immediacy index 0.20
Eigenfactor 0.00
Article influence 0.46
ISSN 1744-8980

Publisher details

Taylor & Francis (Routledge)

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • 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
    ​ green

Publications in this journal

  • Structure and Infrastructure Engineering 01/2015; DOI:10.1080/15732479.2014.970202
  • [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; DOI:10.1080/15732479.2014.970203
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    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
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    ABSTRACT: A conceptual model for the prediction of the shear-flexural strength of slender reinforced concrete beams with and without transverse reinforcement is presented. The model incorporates the shear transferred by the un-cracked concrete chord, along the crack’s length, by the stirrups, if they are, and, in that case by the longitudinal reinforcement. After the development of the first branch of the critical shear crack, failure is considered to occur when the stresses at any point of the concrete compression chord reach the assumed biaxial stress failure envelope. A physical explanation is provided for the evolution of the shear transfer mechanisms, and the contribution of each one at ultimate limit state is formulated accordingly. Simple equations are derived for shear strength verification and for designing transverse reinforcement. The method is validated by comparing its predictions with the results of 1131 shear tests, obtaining very good results in terms of mean value and coefficient of variation. Because of its accuracy, simplicity and theoretical consistency, the proposed method is considered to be very useful for the practical design and assessment of concrete structures subjected to combined shear and bending.
    Structure and Infrastructure Engineering 10/2014; DOI:10.1080/15732479.2014.964735
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    ABSTRACT: In recent decades, research on the management of infrastructure assets has increased steadily. However, there are concerns raised about the contribution of studies to a coherent body of knowledge. There is a call for a more structured understanding of the knowledge that is emerging around the management of infrastructure assets. This paper attempts to answer this call through an empirical study based on the reference lists of over 8200 articles that present their study relevant to the management of infrastructure assets. In so doing, we apply recognised techniques from bibliometric and social network analyses to visualise and identify major and minor topics, where researchers have oriented and contributed. We find that managing infrastructure assets traditionally was object-oriented, such as pavements, bridges, water and utility networks, and that attention is only now emerging on the life-cycle decision-making and organisational aspects, although the latter remains weakly linked with technical aspects. We conclude with shared research orientations in ‘managing’ infrastructure assets.
    Structure and Infrastructure Engineering 10/2013; DOI:10.1080/15732479.2013.848909
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    ABSTRACT: The authors have been conducting a static continuous monitoring experiment to assess the validity of some damage detection algorithms, consisting in non-model-based statistical data processing, previously validated, even for small levels of damage, on numerically simulated 2D finite element models of simply supported and continuous beams. Tests have been conducted in Italy on two specimens of pre-stressed R.C. beams equipped with fibre optic strain sensors and temperature sensors and placed outdoor. During the tests, several events have been artificially produced: a ballast load has been positioned on the beams and various known levels of damage have been introduced. One of the two beams was kept intact for reference. Preliminary data processing has disclosed substantial differences between the numerical simulations and the measurements obtained on the field for the case of simply supported beams. This paper shows that environmental variations have a great effect on measurements and should be correctly removed from the strain time histories before a reliable damage detection procedure can be successfully applied.
    Structure and Infrastructure Engineering 02/2013; DOI:10.1080/1573479.2012.761251