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Purpose – The purpose of this study is to develop a numerical framework to predict the time-dependent probability of failure of a bridge subjected to multiple vehicle impacts. Specially, this study focuses on investigating the inter-relationship between changes in life-cycle parameters (e.g., damage size caused by vehicle impact, loss of initial structural capacity, and threshold intervention) and bridges probability of failure.

Design/Methodology/Approach – The numerical procedure using MATLAB program is developed to compute the probability failure of a bridge. First, the importance and characteristics of life-cycle analysis is described. Then, model for damage accumulation and life cycle as a result of heavy vehicle impacts is discussed. Finally, the probability of failure of a bridge subjected to vehicle impacts as a result of change in life-cycle parameters is presented.

Findings – The results of study show that damage size caused by both vehicle impacts and loss of initial structural capacity have a great impact on the long-term safety of bridges. In addition, the probability of failure of a bridge under different threshold limits indicates that the structural intervention (e.g., repair or maintenance) should be undertaken to extend the service life of a bridge.

Research Limitations/Implications – The damage sizes caused by heavy vehicle impacts are based on simple assumptions. It is suggested that there would be a further study to estimate the magnitude of bridge damage as a result of vehicle impact using the full-scale impact test or computational simulation.

Practical Implications – This will allow much better predictions for residual life of bridges which could potentially be used to support decisions on health and maintenance of bridges.

Originality/Value – The life-cycle performance for assessing the time-dependent probability of failure of bridges subjected to multiple vehicle impact has not been fully discussed so far.

BIM education for construction professionals has tended to lag industry developments. This investigation initiates doctoral research into the use of BIM for construction education. The purpose of this study is to gain an understanding of existing examples of BIM education, their characteristics, the challenges faced in their implementation and any clear trends to focus the doctoral research effort.

A systematic search of peer-reviewed BIM education literature was carried out. From the articles captured, 51 specific cases of BIM education were identified and analysed.

Most cases are from the USA with a more global spread from 2013. A tendency towards interdisciplinary collaboration was apparent though single discipline courses remain important. BIM software in education is dominated by Autodesk products. Most cases were found to be BIM-focused with few examples of BIM-enabled education. This was consistent with the most significant BIM education challenges that were found to relate to the skill levels of students, time and the availability of technical support.

This is an initial study. It is based on only 51 cases of BIM education, which were partially described in peer reviewed conference and journal papers available in international databases.

The investigation has shed some light on existing examples of BIM education and these are useful in designing BIM education initiatives as well as directing further research efforts.

The study offers an original perspective on global BIM education. It also represents the commencement of doctoral research.

This paper aims to highlight the need to place focus on ensuring soft factors in construction projects’ design management and to discuss whether soft factors are hidden success factors.

The presented data is a result of findings from two master theses. The approach is qualitative research and consists of nine semi-structured interviews with design managers and two case studies involving document analyses, meeting observations and descriptions of seven interviews.

This empirical study demonstrates that soft factors are considered important for design managers’ achievement of a successful design process. Focus on soft factors promotes good communication and will improve team performances. Factors are hidden because they are invisible and immeasurable. Furthermore, soft factors are not defined as assigned tasks and are, therefore, easily neglected. Designers are hesitant to explore the possibilities of new technology owing to the fear that they will forfeit human interaction.

This paper is limited to the presentation of empirical findings. Therefore, theory is not a basis for the study but rather a framework for the discussion.

The results in this paper broaden the understanding of human behaviour during the design phase. This knowledge should be considered when the project’s delivery model is designed as it will safeguard actor concerns during the ongoing technological transformation.

This paper contributes knowledge of the view regarding soft factors among project actors. It expands the traditional understanding of value by adding soft factors to the traditional success measures of time, quality and cost.