Rebecca Napolitano

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Assistant Professor in Architectural Engineering, Architectural Engineering

Existing buildings and historic structures play key roles in the communities they are a part of. Not only are they an important part of cultural legacy, but they also are crucial in surmounting engineering challenges like the design of sustainable infrastructure, space shortages, increased costs of construction, and the lowering life cycle costs. By reusing or recycling existing and historic structures, communities can reduce their carbon costs, decrease the amount of solid waste they are contributing to landfills, and save on new construction materials. Before existing structures can be preserved or renovated however, an assessment of the existing building must be completed. This process must comprise documenting where damages are, understanding how existing damages originated and assessing the current capacity of a structure. My research is in hybrid! analytics which lies at the intersection of architectural engineering, computer science, and historic preservation. Hybrid analytics, a nascent field, is the combination of physics-based modeling and data-driven modeling for the end goal of making real-time predictions and monitoring in the context of Digital Twin a reality. This new field leverages the decipherability and clear-box nature of physics-based modeling, with accuracy and pattern recognition techniques of data-driven machine learning algorithms.

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Recent Publications

Crack detection in images of masonry using cnns

Hallee, M. J., Napolitano, R. K., Reinhart, W. F. & Glisic, B., Jul 2 2021, In: Sensors. 21, 14, 4929.

Research output: Contribution to journalArticlepeer-review

Smart cities built with smart materials

Napolitano, R., Reinhart, W. & Gevaudan, J. P., Mar 19 2021, In: Science. 371, 6535, p. 1200-1201 2 p.

Research output: Contribution to journalReview articlepeer-review

Numerical investigation on the composite action of cold-formed steel built-up battened columns

Rahnavard, R., Craveiro, H. D., Laím, L., Simões, R. A. & Napolitano, R., May 2021, In: Thin-Walled Structures. 162, 107553.

Research output: Contribution to journalArticlepeer-review

Interpretation of historic structure for non-invasive assessment using eye tracking

Saleem, M. R., Straus, A. & Napolitano, R., Sep 10 2021, In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 46, M-1-2021, p. 653-660 8 p.

Research output: Contribution to journalConference articlepeer-review

Numerical analysis of natural rubber bearing equipped with steel and shape memory alloys dampers

Sheikhi, J., Fathi, M., Rahnavard, R. & Napolitano, R., Aug 2021, In: Structures. 32, p. 1839-1855 17 p.

Research output: Contribution to journalArticlepeer-review

Cuba's National School of Ballet: Redefining a structural icon

Douglas, I., Napolitano, R. K., Garlock, M. & Glisic, B., Feb 1 2020, In: Engineering Structures. 204, 110040.

Research output: Contribution to journalArticlepeer-review

Hybrid physics-based modeling and data-driven method for diagnostics of masonry structures

Napolitano, R. & Glisic, B., May 1 2020, In: Computer-Aided Civil and Infrastructure Engineering. 35, 5, p. 483-494 12 p.

Research output: Contribution to journalArticlepeer-review

Quantifying the Differences in Documentation and Modeling Levels for Building Pathology and Diagnostics

Napolitano, R., Hess, M. & Glisic, B., Sep 1 2020, In: Archives of Computational Methods in Engineering. 27, 4, p. 1135-1152 18 p.

Research output: Contribution to journalArticlepeer-review

Numerical evaluation of the behavior of ordinary and reinforced stone columns

Nav, M. A., Rahnavard, R., Noorzad, A. & Napolitano, R., Jun 2020, In: Structures. 25, p. 481-490 10 p.

Research output: Contribution to journalArticlepeer-review