0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

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

  1. Zonta, Daniele / Pozzi, Matteo / Bursi, Oreste S. (2007): Performance evaluation of smart prefabricated concrete elements. In: Smart Structures and Systems, v. 3, n. 4 (Oktober 2007).

    https://doi.org/10.12989/sss.2007.3.4.475

  2. Zonta, Daniele / Wu, Huayong / Pozzi, Matteo / Zanon, Paolo / Ceriotti, Matteo / Mottola, Luca / Picco, Gian Pietro / Murphy, Amy L. / Guna, Stefan / Corra, Michele (2010): Wireless sensor networks for permanent health monitoring of historic buildings. In: Smart Structures and Systems, v. 6, n. 5-6 (Juli 2010).

    https://doi.org/10.12989/sss.2010.6.5_6.595

  3. Zonta, Daniele / Pozzi, Matteo (2015): The remarkable story of Portogruaro Civic Tower's probabilistic health monitoring. In: Structural Monitoring and Maintenance, v. 2, n. 4 (Dezember 2015).

    https://doi.org/10.12989/smm.2015.2.4.301

  4. Pozzi, Matteo / Memarzadeh, Milad / Klima, Kelly (2017): Hidden-Model Processes for Adaptive Management under Uncertain Climate Change. In: Journal of Infrastructure Systems, v. 23, n. 4 (Dezember 2017).

    https://doi.org/10.1061/(asce)is.1943-555x.0000376

  5. Pozzi, Matteo (2020): A Journey of Exploration through Infrastructure Systems: from Value of Information to Information Avoidance. Vorgetragen bei: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.

    https://doi.org/10.2749/seoul.2020.002

  6. Choi, Byeongseong / Pozzi, Matteo / Berges, Mario / Bou-Zeid, Elie (2020): Developing Time-Variant Filter for Meso-Scale Surface Temperature Prediction. Vorgetragen bei: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.

    https://doi.org/10.2749/seoul.2020.059

  7. Velibeyoglu, Irem / Noh, Hae Young / Pozzi, Matteo (2019): Empirical investigation of regression models for predicting system behavior in air handling units. In: Science and Technology for the Built Environment, v. 25, n. 3 (März 2019).

    https://doi.org/10.1080/23744731.2018.1523660

  8. Kolb, Chelsea / Pozzi, Matteo / Samaras, Constantine / VanBriesen, Jeanne M. (2017): Climate Change Impacts on Bromide, Trihalomethane Formation, and Health Risks at Coastal Groundwater Utilities. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 3, n. 3 (September 2017).

    https://doi.org/10.1061/ajrua6.0000904

  9. Chong, Adrian / Lam, Khee Poh / Pozzi, Matteo / Yang, Junjing (2017): Bayesian calibration of building energy models with large datasets. In: Energy and Buildings, v. 154 (November 2017).

    https://doi.org/10.1016/j.enbuild.2017.08.069

  10. Velibeyoglu, Irem / Noh, Hae Young / Pozzi, Matteo (2019): A graphical approach to assess the detectability of multiple simultaneous faults in air handling units. In: Energy and Buildings, v. 184 (Februar 2019).

    https://doi.org/10.1016/j.enbuild.2018.12.008

  11. Memarzadeh, Milad / Pozzi, Matteo (2016): Integrated Inspection Scheduling and Maintenance Planning for Infrastructure Systems. In: Computer-Aided Civil and Infrastructure Engineering, v. 31, n. 6 (Mai 2016).

    https://doi.org/10.1111/mice.12178

  12. Malings, Carl / Pozzi, Matteo / Klima, Kelly / Berges, Mario / Bou-Zeid, Elie / Ramamurthy, Prathap (2018): Surface heat assessment for developed environments: Optimizing urban temperature monitoring. In: Building and Environment, v. 141 (August 2018).

    https://doi.org/10.1016/j.buildenv.2018.05.059

  13. Li, Shuo / Pozzi, Matteo (2019): What makes long-term monitoring convenient? A parametric analysis of value of information in infrastructure maintenance. In: Structural Control and Health Monitoring, v. 26, n. 5 (April 2019).

    https://doi.org/10.1002/stc.2329

  14. Memarzadeh, Milad / Pozzi, Matteo (2019): Model-free reinforcement learning with model-based safe exploration: Optimizing adaptive recovery process of infrastructure systems. In: Structural Safety, v. 80 (September 2019).

    https://doi.org/10.1016/j.strusafe.2019.04.003

  15. Memarzadeh, Milad / Pozzi, Matteo / Zico Kolter, J. (2015): Optimal Planning and Learning in Uncertain Environments for the Management of Wind Farms. In: Journal of Computing in Civil Engineering, v. 29, n. 5 (September 2015).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000390

  16. Tien, Iris / Pozzi, Matteo / Der Kiureghian, Armen (2016): Probabilistic framework for assessing maximum structural response based on sensor measurements. In: Structural Safety, v. 61 (Juli 2016).

    https://doi.org/10.1016/j.strusafe.2016.03.003

  17. Malings, Carl / Pozzi, Matteo (2016): Conditional entropy and value of information metrics for optimal sensing in infrastructure systems. In: Structural Safety, v. 60 (Mai 2016).

    https://doi.org/10.1016/j.strusafe.2015.10.003

  18. Bernal, Dionisio / Zonta, Daniele / Pozzi, Matteo (2012): ARX residuals in damage detection. In: Structural Control and Health Monitoring, v. 19, n. 4 (Juni 2012).

    https://doi.org/10.1002/stc.452

  19. Pozzi, Matteo / Der Kiureghian, Armen (2015): Response spectrum analysis for floor acceleration. In: Earthquake Engineering and Structural Dynamics, v. 44, n. 12 (10 Oktober 2015).

    https://doi.org/10.1002/eqe.2583

  20. Zonta, Daniele / Pozzi, Matteo / Zanon, Paolo (2008): Managing the Historical Heritage Using Distributed Technologies. In: International Journal of Architectural Heritage, v. 2, n. 3 (August 2008).

    https://doi.org/10.1080/15583050802063691

  21. Pozzi, Matteo / Wang, Qiaochu (2018): Gaussian Process Regression and Classification for Probabilistic Damage Assessment of Spatially Distributed Systems. In: KSCE Journal of Civil Engineering, v. 22, n. 3 (März 2018).

    https://doi.org/10.1007/s12205-018-0014-x

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine