Nolan W Hayes R&D Associate Staff Contact HAYESNW@ORNL.GOV All Publications P2P: Point Cloud to Panel Layout Optimization Dynamic Analysis of a Six-Cable Parallel Robot for Automated Panelized Building Retrofits... Deep Point Cloud Building Envelope Segmentation (DeeP-CuBES) using Deep Learning... Automated segmentation and analysis of point clouds of pier foundations using Pier Inspection and Evaluation Report (PIER) Integration of a real-time orientation measurement system for a real-time evaluator (RTE) to measure the position and orientation of crane-lifted components A review of prefabricated overclad panels for building energy retrofits Cable-Driven Parallel Robot (CDPR) for Panelized Envelope Retrofits: Feasible Workspace Analysis Optimization of prefabricated component installation using a real-time evaluator (RTE) connection locating system Component pose reconstruction using a single robotic total station for panelized building envelopes Flat and Level Analysis Tool (FLAT) for real-time automated segmentation and analysis of concrete slab point clouds Alkali-silica reaction expansion model for confined concrete with stress-dependency and casting direction anisotropy Automated tracking of prefabricated components for a real-time evaluator to optimize and automate installation Automatic point Cloud Building Envelope Segmentation (Auto-CuBES) using Machine Learning A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes Automatic Segmentation of Building Envelope Point Cloud Data Using Machine Learning Lightweight Composite Insulated Overclad Panels for Building Retrofits Experimental collaboration for thick concrete structures with alkali-silica reaction Key Links Google Scholar ORCID Organizations Energy Science and Technology Directorate Buildings and Transportation Science Division Building Technologies Research Section Building Envelope Materials Research Group Building Technologies Program User Facilities Building Technologies Research and Integration Center
News ORNL demonstrates affordable, energy efficient, low-carbon building technologies on National Mall during HUD Innovation Housing Showcase
