{"id":2,"date":"2021-02-03T12:39:24","date_gmt":"2021-02-03T12:39:24","guid":{"rendered":"https:\/\/sites.nd.edu\/acerrone\/?page_id=2"},"modified":"2025-01-02T00:33:45","modified_gmt":"2025-01-02T05:33:45","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/acerrone\/research\/","title":{"rendered":"Research"},"content":{"rendered":"

Scope of Research<\/h2>\n

I conduct research in the general area of Digital Twin.\u00a0 I work in Joannes Westerink’s Computational Hydraulics Lab<\/a> and Clint Dawson’s Computational Hydraulics Group<\/a>.\u00a0 I focus on geospatio-temporal domains and both inorganic and organic materials systems.\u00a0 I provide highlights of my research in each of these areas below.<\/p>\n

Geospatio-Temporal Domains<\/h2>\n

STOFS-2D-Global Development<\/h4>\n

STOFS-2D-Global is NOAA’s global surge and tide operational model. \u00a0Navigate<\/a> to the Computational Hydraulics Lab’s STOFS-2D-Global shadow model.\u00a0 This is where we stage new developments targeted for operations at NOAA.<\/p>\n

\"\"<\/p>\n

Correcting a High-Fidelity Hydrodynamic Model in Real-Time with Transformers<\/h4>\n

Read Preprint<\/a><\/p>\n

There are several sources of error in hydrodynamic drivers including (but not limited to) poor mesh resolution, limited topo-bathymetric descriptions, inadequate or erroneous parameterizations, omission of salient physical processes, and poor meteorological forcing.\u00a0 We came up with a quick way to correct for these errors wholesale in the ADCIRC-driven STOFS 2D Global with transformers.\u00a0 In particular, we make use of physics-based dynamic covariates to help the transformer correct throughout the forecasting horizon.<\/p>\n

\"\"<\/p>\n

Producing Probabilistic Storm Surge Guidance<\/h4>\n

View Poster from NOAA’s 2023 UIFCW<\/a><\/p>\n

Forecasting hurricane-induced storm surge is a task replete with uncertainty.\u00a0 This uncertainty mainly flows down from atmospheric modeling activities.\u00a0 We force our high-fidelity hydrodynamics driver, ADCIRC, with atmospheric forecasts, and our goal is to propagate the aforementioned uncertainty through this driver to produce localized probabilistic storm surge guidance in near-real-time.\u00a0 Guidance for Hurricane Ian (2022) is given below.<\/p>\n

\"\"<\/p>\n

Inorganic Materials Systems<\/h2>\n

Process Modeling of Lack-of-Fusion Porosity in Additively Manufactured Metals<\/h4>\n

Read Technical Report<\/a><\/p>\n

Lack-of-Fusion (LoF) porosity in additively manufactured materials systems tend to be large and crack-like. \u00a0The process model given in the NASA technical report linked above details a 3D CAD-based LoF porosity process model for integration into FE models.<\/p>\n

Prediction of Grain-Average Elastic Strains Using Crystal-Plasticity Finite-Element Method<\/h4>\n

Read Paper<\/a><\/p>\n

View Presentation<\/a><\/p>\n

\"\"<\/p>\n

This work was in response to the AFRL Additive Manufacturing Modeling Challenge Series<\/a>. \u00a0Crystal plasticity was applied to a measured Ni-based superalloy microstructure. \u00a0Results were compared to measurements from far-field HEDM. \u00a0Largest deviations were associated with intermittent plasticity events.<\/p>\n

Lifing Capability of Additively Manufactured Ti-6Al-4V<\/h4>\n

Read Paper<\/a><\/p>\n

This work was conducted in collaboration with NASA Langley.\u00a0 At Notre Dame, we performed LCF tests, conducted characterization, and ran some exploratory 2D FE simulations.\u00a0 Results indicate that pore clustering, in addition to pore shape and position, dictate the fatigue life of the specimens.<\/p>\n

\"\"<\/p>\n

Characterizing Intermittent Plasticity Events in a Metallic Polycrystal<\/h4>\n

Read Paper<\/a><\/p>\n

This was research conducted to quantify spatially and temporally the frequency of intermittent plasticity events in IN625.<\/p>\n

\"\"<\/p>\n

Organic Materials Systems<\/h2>\n

Quantifying the Response of Low-Frequency-Ultrasound-Mediated Biofilms<\/h4>\n

Read\u00a0 Paper<\/a><\/p>\n

\"\"<\/p>\n

This research interrogates the feasibility and effectiveness of using low frequency ultrasound to manage pulmonary exacerbations caused by biofilms in respiratory inflammatory diseases.\u00a0 The image above is a 3D reconstruction of a stained biofilm (Pseudomonas aeruginosa<\/em>) imaged from a confocal microscope.\u00a0 Red indicates cell death.<\/p>\n

We are also engaged in modeling the action of low frequency ultrasound on biofilms.\u00a0 Linked below is a protoype simulation of a biofilm undergoing mechanical deformation while interacting with tracer particles.<\/p>\n

View Video<\/a><\/p>\n

Inferring the Mechanical Properties of the SARS-CoV-2 Virion<\/h4>\n

Read Paper<\/a><\/p>\n

\"\"<\/p>\n

Research is currently being conducted to quantify the resonant frequencies of the SARS-CoV-2 virion and model its mechanical response to compression.\u00a0 The image above is from a frequency analysis in ABAQUS indicating the deformation corresponding to one of the virion’s natural modes.\u00a0 The model was created by reconstructing the measurements given by Yu et al<\/em><\/a>.\u00a0 The reconstruction code can be downloaded here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Scope of Research I conduct research in the general area of Digital Twin.\u00a0 I work in Joannes Westerink’s Computational Hydraulics Lab and Clint Dawson’s Computational Hydraulics Group.\u00a0 I focus on geospatio-temporal domains and both inorganic and organic materials systems.\u00a0 I provide highlights of my research in each of these areas below. Geospatio-Temporal Domains STOFS-2D-Global Development […]<\/p>\n","protected":false},"author":3892,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/users\/3892"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":55,"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":200,"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/pages\/2\/revisions\/200"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/acerrone\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}