No abstract

/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1061/(ASCE) 0887-3801(2008)22:3(216) Journal of Computing in Civil Engineering, 22, 3, pp. 216-229, 2008-05-01 Integration of municipal infrastructure asset management processes: challenges and solutions Halfawy, M. R.http://irc.nrc-cnrc.gc.caIntegration of municipal infrastructure asset management processes: challenges and solutions NRCC-48340Halfawy, M.R. Abstract: Municipal infrastructure management decision-making is inherently an integrated process that requires the assimilation of a multitude of data, processes, and software systems.Current work practices have resulted in significant process and data fragmentation, which have subsequently created much inefficiency that impede the implementation of effective management strategies. There is a broad consensus in the industry that adopting integrated multi-disciplinary approaches is a key requirement for implementing efficient, sustainable, and proactive asset management programs. This paper discusses the main challenges for implementing integrated municipal infrastructure management environments (MIMEs), and proposes specific solutions to address these challenges. The proposed solutions address the systematization and coordination of work processes, the development of centralized shared data repositories based on non-proprietary integrated data models, and the organization and integration of distributed software tools into a modular and extensible enterprise-wide software environment. The implementation of a prototype sewer management environment based on the proposed solutions is also presented.

Integrated project systems hold the potential for improving the quality while reducing the time and cost of Architecture/Engineering/Construction (AEC) projects. A fundamental requirement of such systems is to support the modeling and management of the design and construction information and to allow the exchange of such information among different project disciplines in an effective and efficient manner. This paper presents a methodology to implement integrated project systems through the use of a model-based approach that involves developing integrated "smart AEC objects." Smart AEC objects are an evolutionary step that builds upon past research and experience in AEC product modeling, geometric modeling, intelligent CAD systems, and knowledgebased design methods. Smart objects are 3D parametric entities that combine the capability to represent various aspects of project information required to support multidisciplinary views of the objects, and the capability to encapsulate "intelligence" by representing behavioral aspects, design constraints, and life cycle data management features into the objects. An example implementation of smart objects to support integrated design of falsework systems is presented. The paper also discusses the

/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1061/(ASCE) 0887-3801(2008)22:6(360) Journal of Computing in Civil Engineering, 22, 6, pp. 360-372, 2008-11-01 Integrated decision support system for optimal renewal planning of sewer networks Halfawy, M. R.; Dridi, L.; Baker, S.http://irc.nrc-cnrc.gc.caIntegrated decision support system for optimal renewal planning of sewer networks NRCC-50095Halfawy, M.R.; Dridi, L.; Baker, S. 2008-10-28A version of this document is published in / Une version de ce document se trouve dans: Journal of Computing in Civil Engineering, v. 22, no. 6, Nov-Dec. 2008, .pp 360-372 The material in this document is covered by the provisions of the Copyright Act, by Canadian laws, policies, regulations and international agreements. Such provisions serve to identify the information source and, in specific instances, to prohibit reproduction of materials without written permission. For more information visit http://laws.justice.gc.ca/en/showtdm/cs/C-42Les renseignements dans ce document sont protégés par la Loi sur le droit d'auteur, par les lois, les politiques et les règlements du Canada et des accords internationaux. Ces dispositions permettent d'identifier la source de l'information et, dans certains cas, d'interdire la copie de documents sans permission écrite. Pour obtenir de plus amples renseignements : http://lois.justice.gc.ca/fr/showtdm/cs/C-42 Integrated Decision Support System for Optimal Renewal Planning of Sewer NetworksMahmoud Halfawy*, Leila Dridi*, and Samar Baker * AbstractMunicipalities are under increasing pressure to adopt proactive and optimized renewal strategies to reduce the risks, lifecycle costs, and resources needed to maintain acceptable performance and service levels of their infrastructure assets. A new integrated approach for optimal renewal planning of municipal infrastructure systems has been developed. This paper discusses the application of the proposed approach to implement a GIS-based Decision Support System (DSS) to support the renewal planning of sewer networks.Condition rating, risk assessment, and prioritization techniques are described. A procedure for identifying and selecting the most suitable renewal technologies is also presented. A genetic algorithm-based multi-objective optimization technique is used to find a Pareto front of feasible solutions,...