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David Grau

Researcher at Arizona State University

Publications -  55
Citations -  670

David Grau is an academic researcher from Arizona State University. The author has contributed to research in topics: Construction management & Project management. The author has an hindex of 11, co-authored 52 publications receiving 501 citations. Previous affiliations of David Grau include University of Alabama & URS Corporation.

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Assessing the impact of materials tracking technologies on construction craft productivity

TL;DR: In this paper, an extensive field trial was conducted on a power-plant project and data from both a traditional tracking process and an automated tracking process designed for the purposes of this study were collected.
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Design for Disassembly and Deconstruction - Challenges and Opportunities

TL;DR: In this article, the authors find the challenges in the current practice of deconstruction activities and the gaps between its theory and implementation, and provide insights about how DfD can create opportunities to turn these concepts into strategies that can be largely adopted by the construction industry stakeholders in the near future.
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Reusing exterior wall framing systems: A cradle-to-cradle comparative life cycle assessment.

TL;DR: Re reuse benefits depended on aggressive reuse rates (>70%) and multiple reuses of steel were needed to offset the embodied environmental impacts during steel production, and the analyses showed that process-based LCA and hybrid LCA can generate conflicting results in a C2C LCA.
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Automated Tornado Damage Assessment and Wind Speed Estimation Based on Terrestrial Laser Scanning

TL;DR: In this paper, an automated geographic information system (GIS) method using post-event point cloud data collected by terrestrial scanners and preevent aerial images was used to calculate the percentage of roof and wall damage and estimate wind speeds at an individual building scale.
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Automatically tracking engineered components through shipping and receiving processes with passive identification technologies

TL;DR: In this article, the authors analyzed the feasible utilization of passive radio frequency identification (RFID) technologies to automatically track the flow of structural steel components during shipping and receiving processes in an effort to increase the visibility of engineered components at the interface between supply chain and construction.