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Justin D. Delorit ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Baldwin, Alexander J. / Chini, Christopher M. / Schuldt, Steven J. / Delorit, Justin D. (2023): Modeling Potential Damages of Hurricanes at the Facility Scale: A Case Study of Eglin Air Force Base. In: Journal of Infrastructure Systems, v. 29, n. 2 (Juni 2023).

    https://doi.org/10.1061/jitse4.iseng-2217

  2. Lamm, Kurt R. / Delorit, Justin D. / Grussing, Michael N. / Schuldt, Steven J. (2022): Improving Data-Driven Infrastructure Degradation Forecast Skill with Stepwise Asset Condition Prediction Models. In: Buildings, v. 12, n. 8 (31 Juli 2022).

    https://doi.org/10.3390/buildings12081288

  3. Brown, Sarah L. / Schuldt, Steven J. / Grussing, Michael N. / Johnson, Michael A. / Delorit, Justin D. (2022): Evaluating Climatic Influences on the Technical Performance of Built Infrastructure Assets. In: Journal of Performance of Constructed Facilities (ASCE), v. 36, n. 2 (April 2022).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001707

  4. Ferry, Tyler A. / Delorit, Justin D. / Chini, Christopher M. (2022): Infrastructure Decision-Making under Climate Change Uncertainty: Case Study of Centralized Heating at Wright-Patterson AFB, Ohio. In: Journal of Infrastructure Systems, v. 28, n. 1 (März 2022).

    https://doi.org/10.1061/(asce)is.1943-555x.0000666

  5. Brown, Sarah L. / Schuldt, Steven J. / Grussing, Michael N. / Bartels, Louis B. / Johnson, Michael A. / Delorit, Justin D. (2021): Performance-Based Building System Manufacturer Selection Decision Framework for Integration into Total Cost of Ownership Evaluations. In: Journal of Performance of Constructed Facilities (ASCE), v. 35, n. 5 (Oktober 2021).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001624

  6. Schuldt, Steven J. / Jagoda, Jeneé A. / Hoisington, Andrew J. / Delorit, Justin D. (2021): A systematic review and analysis of the viability of 3D-printed construction in remote environments. In: Automation in Construction, v. 125 (Mai 2021).

    https://doi.org/10.1016/j.autcon.2021.103642

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