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Christopher Rausch, Ph.D.
Christopher Rausch, Ph.D.
Assistant Professor, The University of Texas at Austin
Подтвержден адрес электронной почты в домене utexas.edu - Главная страница
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Процитировано
Процитировано
Год
Managing risk in modular construction using dimensional and geometric tolerance strategies
Y Shahtaheri, C Rausch, J West, C Haas, M Nahangi
Automation in construction 83, 303-315, 2017
1392017
A selective disassembly multi-objective optimization approach for adaptive reuse of building components
B Sanchez, C Rausch, C Haas, R Saari
Resources, conservation and recycling 154, 104605, 2020
1082020
Deconstruction programming for adaptive reuse of buildings
B Sanchez, C Rausch, C Haas
Automation in Construction 107, 102921, 2019
922019
Automated shape and pose updating of building information model elements from 3D point clouds
C Rausch, C Haas
Automation in Construction 124, 103561, 2021
872021
Monte Carlo simulation for tolerance analysis in prefabrication and offsite construction
C Rausch, M Nahangi, C Haas, W Liang
Automation in Construction 103, 300-314, 2019
872019
Deploying 3D scanning based geometric digital twins during fabrication and assembly in offsite manufacturing
C Rausch, R Lu, S Talebi, C Haas
International Journal of Construction Management 23 (3), 565-578, 2021
702021
Quantitative investigation on the accuracy and precision of Scan-to-BIM under different modelling scenarios
ME Esfahani, C Rausch, MM Sharif, Q Chen, C Haas, BT Adey
Automation in Construction 126, 103686, 2021
682021
Optimum assembly planning for modular construction components
C Rausch, M Nahangi, M Perreault, CT Haas, J West
Journal of computing in civil engineering 31 (1), 04016039, 2017
682017
A framework for BIM-based disassembly models to support reuse of building components
B Sanchez, C Rausch, C Haas, T Hartmann
Resources, Conservation and Recycling 175, 105825, 2021
582021
Kinematics chain based dimensional variation analysis of construction assemblies using building information models and 3D point clouds
C Rausch, M Nahangi, C Haas, J West
Automation in Construction 75, 33-44, 2017
472017
Deep learning for detecting distresses in buildings and pavements: a critical gap analysis
F Elghaish, ST Matarneh, S Talebi, S Abu-Samra, G Salimi, C Rausch
Construction Innovation 22 (3), 554-579, 2022
372022
A computational methodology for generating modular design options for building extensions
S Shahi, P Wozniczka, C Rausch, I Trudeau, C Haas
Automation in Construction 127, 103700, 2021
282021
Optimizing 3D Irregular Object Packing from 3D Scans Using Metaheuristics
Y Zhao, C Rausch, C Haas
Advanced Engineering Informatics 47, 101234, 2020
282020
Feature modeling for configurable and adaptable modular buildings
S Benjamin, R Christopher, H Carl
Advanced Engineering Informatics 51, 101514, 2022
272022
Causes of defects associated with tolerances in construction: A case study
S Talebi, L Koskela, P Tzortzopoulos, M Kagioglou, C Rausch, F Elghaish, ...
Journal of Management in Engineering 37 (4), 05021005, 2021
262021
Benchmarking and improving dimensional quality on modular construction projects–A case study
C Rausch, C Edwards, C Haas
International Journal of Industrialized Construction 1 (1), 2-21, 2020
252020
Computational algorithms for digital twin support in construction
C Rausch, B Sanchez, ME Esfahani, C Haas
Construction Research Congress 2020, 191-200, 2020
222020
Geometric Accuracy of Digital Twins for Structural Health Monitoring
R Lu, C Rausch, M Bolpagni, I Brilakis, CT Haas
Loughborough University, 2020
212020
Spatial Parameterization of Non-Semantic CAD Elements for Supporting Automated Disassembly Planning
C Rausch, B Sanchez, C Haas
Modular and Offsite Construction Summit (MOC) 2019, 2019
152019
Prioritizing preproject planning activities using value of information analysis
M Esnaashary Esfahani, C Rausch, C Haas, BT Adey
Journal of Management in Engineering 36 (5), 04020064, 2020
132020
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