Robustness evaluation of cutting tool maintenance planning for soft ground tunneling projects
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Al-Battaineh, H. T., AbouRizk, S. M., Tan, J., & Fernando, S. (2006). Productivity simulation during the planning phase of the Blencoe Tunnel in Calgary, Canada: A case study. In D. Nicol, R. Fujimoto, B. Lawson, J. Liu, F. Perrone, & F. Wieland (Eds.), Proceedings of the 2006 winter simulation conference (pp. 2087–2092).
Athan, 1996, A note on weighted criteria methods for compromise solutions in multi-objective optimization, Engineering Optimization, 27, 155, 10.1080/03052159608941404
Beyer, 2007, Robust optimization – A comprehensive survey, Computer Methods in Applied Mechanics and Engineering, 196, 3190, 10.1016/j.cma.2007.03.003
Chalupnik, M. J., Wynn, D. C., Eckert, C. M., & Clarkson, P. J. (2007). Understanding design process robustness: A modelling approach. In J.-C. Bocquet (Ed.), Proceedings of ICED 2007, the 16th international conference on engineering design.
Cherkaoui, 2016, On the assessment of performance and robustness of condition-based maintenance strategies, IFAC-PapersOnLine, 49, 809, 10.1016/j.ifacol.2016.07.874
Conrads, A., Duhme, R., Thewes, M., Scheffer, M., Mattern, H., & König, M. (2017). Simulation based decision support for maintenance in mechanized tunneling. In G. Hofstetter, K. Bergmeister, J: Eberhardsteiner, G. Meschke, & H. F. Schweiger (Eds.), Proceedings of the fourth international conference on computational methods in tunneling and subsurface engineering. Universität Innsbruck.
Conrads, 2017, Assessing maintenance strategies for cutting tool replacements in mechanized tunneling using process simulation, Journal of Simulation, 11, 51, 10.1057/s41273-016-0046-5
Dellino, 2012, Robust optimization in simulation: Taguchi and Krige combined, INFORMS Journal on Computing, 24, 471, 10.1287/ijoc.1110.0465
Ebrahimy, 2011, Simulation modeling and sensitivity analysis of a tunneling construction project’s supply chain, Engineering, Construction and Architectural Management, 18, 462, 10.1108/09699981011074600
Fernando, S., Er, K. C., Mohamed, Y., AbouRizk, S. M., & Ruwanpura, J. Y. (2003). A review of simulation applications for varying demands in tunneling. In K. R. Molenaar, & P. S. Chinowsky (Eds.), Proceedings of the 2003 ASCE construction research congress (pp. 80–90).
Friedenthal, 2011
Hajjar, D., & AbouRizk, S. (1999). Simphony: An environment for building special purpose construction simulation tools. In Simulation conference proceedings, 1999 winter (Vol. 2, pp. 998–1006).
Hajjar, 2002, Unified modeling methodology for construction simulation, Journal of Construction Engineering and Management, 128, 174, 10.1061/(ASCE)0733-9364(2002)128:2(174)
Halpin, 1977, CYCLONE-method for modeling job site processes, Journal of the Construction Division, 103, 10.1061/JCCEAZ.0000712
Herrenknecht A. G. (2017). <https://www.herrenknecht.com/de/produkte/kernprodukte/tunnelling/mixschild.html> Accessed: 24.11.2017 (modified).
Jakobsen, 2013, Development of the Soft Ground Abrasion Tester (SGAT) to predict TBM tool wear, torque and thrust, Tunnelling and Underground Space Technology, 38, 398, 10.1016/j.tust.2013.07.021
Jankovič, 2015, Agent-based simulation for creating robust plans and schedules, Procedia Computer Science, 51, 895, 10.1016/j.procs.2015.05.221
Köhler, 2011, Abrasiveness and tool wear in shield tunnelling in soil/Abrasivität und Werkzeugverschleiß beim Schildvortrieb im Lockergestein, Geomechanics and Tunnelling, 4, 36, 10.1002/geot.201100002
Köppl, 2015, Suggestion of an empirical prognosis model for cutting tool wear of Hydroshield TBM, Tunnelling and Underground Space Technology, 49, 287, 10.1016/j.tust.2015.04.017
Küpferle, 2015, Assessment of the LCPC abrasiveness test from the view of material science/Bewertung des LCPC-Abrasivitätstests aus werkstofftechnischer Sicht, Geomechanics and Tunnelling, 8, 211, 10.1002/geot.201500002
Küpferle, 2016, The RUB Tunneling Device – A newly developed test method to analyze and determine the wear of excavation tools in soils, Tunnelling and Underground Space Technology, 59, 1, 10.1016/j.tust.2016.06.006
Küpferle, 2017, Excavation tool concepts for TBMs – Understanding the material-dependent response to abrasive wear, Tunnelling and Underground Space Technology, 68, 22, 10.1016/j.tust.2017.05.013
Liu, 2015, Schedule risk analysis for TBM tunneling based on adaptive CYCLONE simulation in a geologic uncertainty–aware context, Journal of Computing in Civil Engineering, 29, 04014103, 10.1061/(ASCE)CP.1943-5487.0000441
Marler, 2010, The weighted sum method for multi-objective optimization: New insights, Structural and Multidisciplinary Optimization, 41, 853, 10.1007/s00158-009-0460-7
Martinez, 2010, Methodology for conducting discrete-event simulation studies in construction engineering and management, Journal of Construction Engineering and Management, 136, 3, 10.1061/(ASCE)CO.1943-7862.0000087
Montgomery, 2013
Object Management Group (2012). OMG Systems Modeling Language (OMG SysML™) – Version 1.3. Object Management Group.
Rhein, 2013, Robustness measures and numerical approximation of the cumulative density function of response surfaces, Communications in Statistics – Simulation and Computation, 43, 1, 10.1080/03610918.2012.690637
Ruwanpura, 2007, Simulation modeling techniques for underground infrastructure construction processes, Tunnelling and Underground Space Technology, 22, 553, 10.1016/j.tust.2007.05.001
Scheffer, 2016, Simulation of maintenance strategies in mechanized tunneling, 3345
Taguchi, 1991
The AnyLogic Company (2017). AnyLogic 8.0.5 University.
Thuro, 2009, Classification of the abrasiveness of soil and rock, Geomechanik und Tunnelbau, 2, 179, 10.1002/geot.200900012
Thuro, 2006, Soil abrasivity assessment using the LCPC testing device, Felsbau, 24, 37