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J Wang, X Wang, W Shou, J Guo, L Hou

Development of BIM Model Fitness Review System for Modelling Quality Control

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Full text: content.pdf (275,282 bytes) (available to registered users only)

Series: w78:2014 (browse)
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Patrick Suermann, Raja R.A. Issa

United States Air Force Milcon Transformation: Building Information Modeling Case Studies

Abstract: The United States Air Force manages approximately $2B of traditional military construction (MILCON) per year in a typical portfolio of 100-150 projects. In Fiscal Year, 2010, the Air Force’s MILCON authority having jurisdiction, the Air Force Center for Engineering and the Environment (AFCEE) revised its standard design instruction to supplement how it managed and directed MILCON. One of the primary differences was a requirement for all vertical construction to be designed through a Building Information Modeling (BIM) approach. There were two pilot projects to assess Air Force BIM implementation. First, one project case study explored impact on typical MILCON project management practices. The HQ CENTCOM facility implemented a BIM-based approach on a standard design-bid-build project at MacDill Air Force Base, FL. A second project case study explored cutting edge research methodologies that used the BIM for facility optimization on a LEED-platinum facility. Specifically, the Tyndall Air Force Base Fitness Center targeted energy efficiency. The facility’s Electronic Management Control System (EMCS) monitored pure consumption, solar photovoltaic (PV) power meter pulse output, and solar hot water recovery systems using Digital Energy Monitors (DEM) tied to the BIM via an exported database file via the EMCS server. Lastly, AFCEE partnered with Onuma to manage and leverage their new BIM-based designs to afford greater collaboration from inception onward for USAF facilities worldwide. This research investigates owners’ lessons learned and designers’ experiences related with the initiative under MILCON Transformation, as well as the implications for shaping future USAF MILCON management and design optimization.

Keywords: Air Force, MILCON, BIM, Prototype, Collaboration, Control Systems

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Full text: content.pdf (634,937 bytes) (available to registered users only)

Series: w78:2010 (browse)
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Torben Pullmann, Martina Schnellenbach-Held, Peer Lubasch

GPCore a generic framework for genetic programming

Abstract: Complex engineering tasks are rarely unique in their solution. The question is not to determine a single solution it is more to retrieve an optimal solution. Automated, software-based optimization technologies turned out to be a very promising and applicable solution for the class of non-deterministic optimization problems. In this paper a generic framework for the application of genetic programming will be introduced. The framework is based on the Backus-Naur representation, which can be seen as a meta-programming language. According to specific demands on engineering problems, various detail solutions have been evolved in this context. Finally, the application of the developed framework in load identification will be presented. An example of an evolutionary optimization within the analysis of measured data will be given. By means of two encapsulated optimization routines structural responses re-corded at instrumented bridges are analyzed to determine gross weights, velocities, axle loads as well as axle spacings of passing vehicles. Most significant aspects of the developed framework will be covered within the example: Problem decomposition, problem space definition based on the meta-language, genotype generation, examples of crucial cross-over and mutation operations, fitness evaluation and entire operation of the optimization process.

Keywords: genetic programming, framework, genetic algorithms, evolutionary algorithms, evolutionary optimiza-tion, evolutionary computation

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Full text: content.pdf (317,055 bytes) (available to registered users only)

Series: w78:2007 (browse)
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