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Blackman, Tim; Hobbs, Brian; Fencott, Clive; Martyr, Anthony; Robinson, John; van Schaik, Paul

A VR-based Method for Evaluating Outdoor Environments with People with Dementia

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Full text: content.pdf (307,756 bytes) (available to registered users only)

Series: convr:2006 (browse)
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J Patrik, J Tim, S Erik, O Thomas

Product Configuration of Roundabouts

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Full text: content.pdf (634,386 bytes) (available to registered users only)

Series: w78:2013 (browse)
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Jiwen Zhang, Tim Taylor, Roy Sturgill, Gabe Dadi and Nikiforos Stamatiadis

Predictive Risk Modeling of Differential Bridge Settlement

Abstract: Differential settlement between the roadway pavement resting on embankment fill and the bridge abutment built on more rigid foundation often creates a bump when driving from roadway to bridge, and vice versa. This paper studies the problem at a macroscopic level by determining a method to predict the levels of approach settlement to assist designers in developing remediation plans during project development to minimize the lifecycle costs of bridge bump repairs. A macro method considering a combination of maintenance times, maintenance measures, and observed settlement was used to classify the differential settlement scale as minimal, moderate, and severe. A set of project characteristics including approach, abutment type, embankment, foundation, and traffic volume that may influence the formation of differential settlement were identified and used as parameters to develop a model to predict the settlement severity for a given approach. Logistic regression analyses were implemented to identify the relationships between the levels of differential settlement and the input variables for a sample of 600 randomly selected bridges in Kentucky. Geographic region, approach age, average daily traffic, and the use of approach slabs are identified as the four most predominant factors that can significantly affect the formation of differential settlement. Based on the performance of bridge approaches in Kentucky, how those parameters interacted in the prediction model is illustrated in the logistic regressions.

Keywords: Differential Settlement, Logistic Regression, Prediction Model

DOI: https://doi.org/10.24928/JC3-2017/0060

Full text: content.pdf (338,728 bytes) (available to registered users only)

Series: jc3:2017 (browse)
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Ken Thomas, Brian Graham, Tim McCarthy, Pat Troy, David Crowe

Making an Impact: Improving the use of ICT in a Leading Construction Company Through an Industry-Academia Partnership

Abstract: This paper concerns the improved use of ICT in a leading Irish construction company via an Industry-Academia partnership. The partners are Waterford Institute of Technology (WIT) and BAM Contractors, who are part of the wider Royal BAM Group based in the Netherlands. The bespoke MSc in Construction Project Management (MScCPM) programme that was developed through this partnership involves a number of modules, including one on ‘ICT in Construction’. The majority of the required assessments on the bespoke programme relate specifically to BAM business activities. BAM saw the benefits of getting the participant either individually or in groups to investigate issues that are of importance to the company. Each assessment was designed and agreed by the relevant WIT Module Leader and the associated BAM Expert in line with the agreed MScCPM framework. The processes of aligning the required programme assessments with topics and problems of direct interest to the company may not always have been straightforward, but the potential befits were clear to all concerned. In the case of the ‘ICT in Construction’ module the WIT Module Leader agreed the topics and approach with the BAM ICT Manager and his team. Essentially the group was divided up into six groups of three people and the other two participants were given individual projects. The group projects concerned the use of COINS, SharePoint, BIM, Project Planning software, ICT on Sites and Mobile ICT Devices. The individual projects related to the use of ICT in two other companies, BAM Nuttall and Suir Engineering. The background to these topics, how they were researched, the publication of the associated reports, the oral presentations to WIT and BAM Senior Management are described in this paper. Most importantly, the subsequent impact of these ICT projects on the BAM people, processes and technologies are also considered.

Keywords: ICT, Construction, Industry-Academia Partnership, Work-Integrated Learning

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Full text: content.pdf (103,751 bytes) (available to registered users only)

Series: w78:2010 (browse)
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Xiaonan Zhang, Nick Bakis, Song Wu, Mike Kagioglou, Ghassan Aouad, Tim Lukins, Yahaya Ibrahim

Incorporating the progress measurement dimension to an integrated building information system: a research framework

Abstract: The accurate measurement of work in progress on construction sites is important for calculating interim payments as well as for business and project management functions like schedule and cost control. Currently it still takes place using traditional building surveying techniques and visual inspections. However the usually monthly meas-urements are not frequent and accurate enough, incorporating judgement and shortcuts. An EPSRC funded collaborative research is looking at supporting the measurement of work in progress on construction sites using computer vision technology within the context of an integrated building information system. In particular, the research aims to develop a system that automatically measures the progress of construction from digital images captured on site, analyses the progress against the original schedule in order to identify any potential delays and calcu-lates interim payments. The paper presents the initial findings from the research and a development framework for the proposed system.

Keywords: progress measurement, integrated building information system, computer vision

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Full text: content.pdf (367,114 bytes) (available to registered users only)

Series: w78:2007 (browse)
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