Center for Nuclear Energy Facilities and Structures

Design considerations and Monte Carlo criticality analysis of spiral plate heat for Molten Salt Reactors

PROGRESS IN NUCLEAR ENERGY, 173.

Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems

RELIABILITY ENGINEERING & SYSTEM SAFETY, 250.

Experimental Investigation of Deep Beams with High-Strength Headed Shear Reinforcement, Part I

ACI STRUCTURAL JOURNAL, 121(3).

Analytical Evaluation of Deep Beams with High-Strength Headed Shear Reinforcement, Part II

ACI STRUCTURAL JOURNAL, 121(3), 147–158.

Clustering and uncertainty analysis to improve the machine learning-based predictions of SAFARI-1 control follower assembly axial neutron flux profiles

ANNALS OF NUCLEAR ENERGY, 206.

Regional seismic velocity model for the US Atlantic and Gulf Coastal Plains based on measured shear wave velocity, sediment thickness, and surface geology

EARTHQUAKE SPECTRA, 40(2), 1269–1300.

Implications of input ground-motion selection techniques on site response analyses for different tectonic settings

EARTHQUAKE SPECTRA, 40(2), 1521–1551.

Using communities of practice to investigate work-integrated learning in engineering education: a grounded theory approach

Diaz, B., Delgado, C., Han, K., & Lynch, C. (2024, May 4). HIGHER EDUCATION.

Response of Reinforced Concrete Shell Elements Subjected to In-Plane and Out-of-Plane Shear

ACI STRUCTURAL JOURNAL, 121(2), 165–180.

Behavior of Shear-Critical Concrete Deep Beams Monitored with Digital Image Correlation Equipment

ACI STRUCTURAL JOURNAL, 121(2), 181–192.

A systematic approach for the adequacy analysis of a set of experimental databases: Application in the framework of the ATRIUM activity

NUCLEAR ENGINEERING AND DESIGN, 421.

ARTISANS-Artificial Intelligence for Simulation of Advanced Nuclear Systems for Nuclear Fission Technology

NUCLEAR ENGINEERING AND DESIGN, 423.

A comparative study on deep learning models for condition monitoring of advanced reactor piping systems

Sandhu, H. K., Bodda, S. S., Yan, E., Sabharwall, P., & Gupta, A. (2024, March 1). MECHANICAL SYSTEMS AND SIGNAL PROCESSING, Vol. 209.

Integrated 4D Design Change Management Model for Construction Projects

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 150(5).

Automatic and Real-Time Joint Tracking and Three-Dimensional Scanning for a Construction Welding Robot

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 150(3).

Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 420.

Computationally efficient approach for risk-informed decision making

PROGRESS IN NUCLEAR ENERGY, 167.

Data-Driven High-to-Low for Coarse Grid System Thermal Hydraulics

Nuclear Science and Engineering.

Data-Driven RANS Turbulence Closures for Forced Convection Flow in Reactor Downcomer Geometry

Nuclear Technology.