Structure and Infrastructure Engineering

Publisher: Taylor & Francis (Routledge)

Current impact factor: 1.45

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 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)

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    • Publisher last contacted on 25/03/2014
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Publications in this journal

  • No preview · Article · May 2016 · Structure and Infrastructure Engineering
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    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.
    No preview · Article · Nov 2015 · Structure and Infrastructure Engineering
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    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.
    No preview · Article · Jul 2015 · Structure and Infrastructure Engineering
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    ABSTRACT: Recent requirements for sustainable development and increasing trend for public–private partnerships (PPPs) have added additional complexities to the policy-making process in the infrastructure management domain. To support policy analysis, this paper presents a system dynamics (SD) model to analyse the impact of different strategic policies (e.g. budgeting, PPP involvement) on infrastructure serviceability, backlog accumulation and sustainability. The proposed model has been implemented on a network of school buildings from the Toronto District School Board asset inventory. Four sets of experiments with different policy scenarios over a 50-year strategic planning horizon have been conducted to investigate policies related to rehabilitation, budget distribution, government investment and PPP involvement. The proposed model was implemented on a commercial SD software incorporating all the dynamic interactions among the strategic parameters. The experiment results show that the model works as a practical decision support tool that enables asset managers to test the effectiveness of various strategic policy scenarios on long-term infrastructure performance.
    No preview · Article · Jun 2015 · Structure and Infrastructure Engineering
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    ABSTRACT: deteriorate gradually (manifest deterioration process, MDPs), under the assumption that with appropriate inspection and intervention strategies the probability of failure of object can be neglected. Objects that deteriorate suddenly (latent deterioration process, LDPs), for example, due to scouring during a flood or earth movements during an earthquake are not considered. The determination of OISs for an object that deteriorates due to both MDPs and LDPs requires the consideration of both. The latter, however, means that the probability of failure of the object must be considered. In this article, a Markov model is presented that can be used to determine OISs for multiple objects of multiple types affected by uncorrelated MDPs and LDPs. The model is an extension of the model proposed by Mayet and Madanat (Incorporation of seismic considerations in bridge management systems. Computer-Aided Civil and Infrastructure Engineering, 17:185–193, 2002). In the model, a set of condition states (CSs) is used to describe the condition of objects of each type, where each set is composed of nonfailure CSs and failure CSs. The probabilities of going from each non-failure CS to each failure CS are estimated using normalised fragility curves, and the probabilities of going from each non-failure CS to each non-failure CS are initially estimated using the Markov deterioration prediction model of Kobayashi, Kaito, and Lethanh (A Bayesian estimation method to improve deterioration prediction for infrastructure system with Markov chain model. International Journal of Architecture, Engineering and Construction, 1:1–13, 2012a) and later adjusted taking into consideration the probabilities of entering the failure CSs. The use of the model is demonstrated using a road link comprising one road section and one bridge.
    No preview · Article · Mar 2015 · Structure and Infrastructure Engineering
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    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.
    No preview · Article · Dec 2014 · Structure and Infrastructure Engineering
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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.
    No preview · Article · Nov 2014 · Structure and Infrastructure Engineering