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A Asadi, A Hadavi, R J. Krizek

Bridge Life-Cycle Cost Analysis Using Artificial Neural Networks

Abstract: Life-Cycle Cost analysis can significantly assist in making investment decisions. Several recentstudies have recognized the potential benefits of Life-Cycle Cost analysis and call for use of suchanalyses when making infrastructure investments, including investments in bridges. The Life-CycleCost of a bridge consists of the total investment throughout the life of the bridge. This includes theinitial construction cost, repair and rehabilitation costs, and all maintenance costs. The ability toaccurately determine the Life-Cycle Cost of a bridge will help agencies evaluate the asset value ofexisting bridges, make better decisions on the design and construction of new ones, and chooseimproved methods and approaches for rehabilitating existing structures. Research has shown thattimely maintenance, repair, and rehabilitation can lower the Life-Cycle Cost of a bridge. However, thisis a complex and nonlinear problem, and previous studies have failed to develop a satisfactory model. One effective technique for solving nonlinear problems with complicated functions is an ArtificialNeural Network. A neural network is a powerful data-modeling tool that captures and representscomplex input/output relationships. Using a set of input and output data belonging to a particularproblem, a neural system can be trained to predict outcomes for new versions of the same problem.Accordingly, an extensive set of data (bridge dimensions, age, initial cost, and Life-Cycle Cost) for 14Chicago bridges was used to quantify the degree of success that could be achieved with this model.Sixty percent of the data was used as input to train the model and the remaining forty percent was usedto assess the success of the model for predicting the Life-Cycle Cost. The results achieved wereencouraging and suggest that the neural network model is a promising tool for predicting the LifeCycleCost ofa bridge.

Keywords: life-cycle cost, artificial neural network, Chicago Trunnion Bascule bridges. initial cost, repair and rehabilitation cost

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Series: w78:2011 (browse)
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A Hatami, G Morcous

Life-Cycle Cost Assessment for Bridge Management: An Application to Nebraska Bridges

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Series: w78:2014 (browse)
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Alan Bridges

Computational support for early stage architectural design

Abstract: The concepts underlying ‘scenario-based’ design are introduced. From the analysis of a number of struc-tured interviews with practicing designers, key design scenarios are identified. These scenarios are then generalised and outline guidelines developed for structuring early stage design.

Keywords: scenario, architectural design

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Series: w78:2007 (browse)
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Alan Bridges

Problem based learning in architectural education

Abstract: There is limited published research and discussion on pedagogical approaches in architectural education. Problem (or Project) Based Learning is used successfully in other professional disciplines, and, consequently, there have been attempts to utilise the same pedagogical approach in architectural education. This paper critically reviews PBL implementations at the Faculty of Architecture, Technical University of Delft (TUDelft), Netherlands and the De-partment of Architecture, University of Newcastle, New South Wales, Australia and draws general conclusions about the implementation of PBL in architecture and particular recommendations with respect to the teaching of architectural computing.

Keywords: PBL; architectural education; computing

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Series: w78:2007 (browse)
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Amin Kamal Akhnoukh, Asad Esmaeily

Feasibility Of Using Clear-Span Arches For Short-Span Bridges

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Series: w78:2006 (browse)
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Bella Nguyen and Ioannis Brilakis

Minimising Misclassifications of Over-Height Vehicles Due to Wind

Abstract: Over-height vehicle strikes with low bridges and tunnels are an ongoing problem worldwide. While previous methods have used vision-based systems to address the over-height warning problem, such methods are sensitive to wind. In this paper, we propose a constraint-based approach to minimise the number of over-height vehicle misclassifications due to windy conditions. The dataset includes a total of 102 over-height vehicles recorded at frame rates of 25 and 30 fps. At this frame rate, we analysed sampling rates to determine the sufficient number of positive frames required to provide accurate warnings to drivers. Optical flow and KLT feature-tracker algorithm was used to detect and track feature points of motion. Motion captured within the region of interest was treated as a standard two-class binary linear classification problem with 1 indicating over-height vehicle presence and 0 indicating noise. The algorithm performed with 100% recall, 83.3% precision and false positive rate of 8.3%.

Keywords: Bridge Strike, Tunnel Strike, Over-Height Vehicle, Over-Height Vehicle Detection System, Bridge Strike Prevention

DOI: https://doi.org/10.24928/JC3-2017/0249

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Bridges A, Grierson H

The use of internet technologies in delivering architectural CPD

Abstract: "This paper is based on a Royal Institute of British Architects funded project carried out with the co-operation of the Royal Incorporation of Architects in Scotland. It was recognised that the architectural profession in Scotland, outside of the Glasgow – Edinburgh central belt, consisted predominantly of small (less than six people) offices. Many of these were single practitioner practices operating in geographically remote locations; attendance at organised CPD meetings may well entail a days travel to reach the meeting, meaning that the practice is left unattended for up to three days. The study reports on: ·detailed surveys of the IT equipment and skill levels in these small practices ·the possible uses of simple Internet technologies to provide back-up to these small practices ·modes of delivery for various levels of CPD ·the use of “Web diaries” for logging learning objectives and achievements Detailed proposals are made regarding the strategies to be adopted by the professional institutes with regard to both new technologies and supporting a widely dispersed membership."

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Full text: content.pdf (203,527 bytes) (available to registered users only)

Series: w78:2000 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.collaboration (0.024957) class.strategies (0.020327) class.deployment (0.020198)
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Permission to reproduce these documents have been graciously provided by Icelandic Building Research Institute. The assistance of the editor, Mr. Gudni Gudnason, is gratefully appreciated


Danijel Rebolj, Riko Šafarič, Andrej Šorgo and Nenad Čuš Babič

SMARTCON, Self-Maintaining and Rejuvenating Constructions

Abstract: Infrastructure systems are established and maintained to satisfy our societal needs for living and transport. The European Roadmap for Cross-Modal Transport Infrastructure Innovation states that by 2030 an improvement of 50% in infrastructure performance, risk and cost versus a 2010 baseline should be achieved. However, current maintenance methods require intense engagement of highly trained experts and exposure to hazards, they are time consuming and hinder the normal use of constructions. Since infrastructure systems are not able to "care for themselves" they create a heavy burden for society in terms of regular maintenance and total cost of ownership. Therefore, SMARTCON proposes to transform passive constructions into smart structures able to take care of themselves. The envisaged system shall consist of a biomimetic swarm of robots able to perform continuous inspection, analysis of inspected indicators, decision support systems to advise on necessary maintenance or rejuvenation actions and to evaluate implemented actions. The paper is presenting the SMARTCON concept, the preliminary research, and the intended results of a three-year project beginning in early 2017. The project is focusing on bridges as they are considered to be among the most critical infrastructure objects.

Keywords: Automation, Infrastructure, Bridges, Inspection, Maintenance, Rejuvenation, Robot Swarm, Biomimetics

DOI: https://doi.org/10.24928/JC3-2017/0164

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Delic D

Design of structural elements by use of expert networks

Abstract: Shown are three nets. As the first, shown is an example of evaluating a classic rule based expert system to an expert network by replacing one of its knowledge base searching module with a neural network. The second net is used to describe a behavior model of compound steekoncrete columns. Following the design procedure of the DIN 18800 part two, and using just a selected part of data tables for columns design presented as the input data for neural network , the author succeed to organize the design process by neural network only. The rules in the expert system are used for design flow controlling. The third net is not an expert network. It is a neural network combined with PASCAL codes, but should be embedded into an expert system. The work is dealing with problems of variably Input energy control into structural systems (smart bridges) depending on the monitored generated incoming (traffic) loading.

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Series: ecce:1997 (browse)
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E Otayek, A Jrade, S Alkass

Integrated Decision Support System for Bridges at Conceptual Design Stage

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Series: w78:2012 (browse)
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