Uncertainty-Aware Robustness Analysis of Blended-Wing-Body Cabin Evacuation Under the Faa 90-Second Requirement (14 CFR § 25.803)
References
- Scholz D. New blended wing body (BWB) aircraft – Is 50% fuel reduction a credible claim? Hamburg: Hamburg University of Applied Sciences (HAW Hamburg); 2026. https://doi.org/10.48441/4427.3163
- Lee DS, Fahey DW, Skowron A, Allen MR, Burkhardt U, Chen Q, Doherty SJ, Freeman S, Forster PM, Fuglestvedt JS, Gettelman A, De León RR, Lim LL, Lund MT, Millar RJ, Owen B, Penner JE, Pitari G, Prather MJ, et al. The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018. Atmos Environ. 2020;244:117834. https://doi.org/10.1016/j.atmosenv.2020.117834
- Teoh R, Schumann U, Majumdar A, Stettler MEJ. Mitigating the climate forcing of aircraft contrails by small-scale diversions and technology adoption. Environ Sci Technol. 2020;54(5):2941–2950. https://doi.org/10.1021/acs.est.9b05608
- Brazzola G, Grimm V, Patt A. Definitions and implications of climate-neutral aviation. Nat Clim Change. 2022;12:115–121. https://doi.org/10.1038/s41558-022-01404-7
- Braun M, Grimme W, Oesingmann K. Pathway to net zero: Reviewing sustainable aviation fuels, environmental impacts and pricing. J Air Transp Manag. 2024;117:102580. https://doi.org/10.1016/j.jairtraman.2024.102580
- Jagtap SS, Childs PR, Stettler ME. Conceptual design-optimisation of a subsonic hydrogen-powered long-range blended-wing-body aircraft. Int J Hydrogen Energy. 2024;96:639–651. https://doi.org/10.1016/j.ijhydene.2024.11.331
- Adler EJ, Martins JR. Energy demand comparison for carbon-neutral flight. Prog Aerosp Sci. 2024;152:101051. https://doi.org/10.1016/j.paerosci.2024.101051
- Melis DJ, Silva JM, Yeun R, Wild G. The effect of airline passenger anthropometry on aircraft emergency evacuations. Saf Sci. 2020;128:104749. https://doi.org/10.1016/j.ssci.2020.104749
- Song C, Shao Q, Zhu P, Dong M, Yu W. An emergency aircraft evacuation simulation considering passenger overtaking and luggage retrieval. Reliab Eng Syst Saf.2022;229:108851. https://doi.org/10.1016/j.ress.2022.108851
- Xu C, Witlox F. Understanding total evacuation time perception in airplane emergency: a stated preference approach. Safety Science. 2022;146:105540. https://doi.org/10.1016/j.ssci.2021.105540
- Ronchi E. Developing and validating evacuation models for fire safety engineering. Fire SafJ. 2021;120:103020. https://doi.org/10.1016/j.firesaf.2020.103020
- Xie W, Lee EWM, Cheng Y, Shi M, Cao R, Zhang Y. Evacuation performance of individuals and social groups under different visibility conditions: Experiments and surveys. Int J Disaster Risk Reduct. 2020;47:101527. https://doi.org/10.1016/j.ijdrr.2020.101527
- Wang K, Yuan W, Liang W, Yao Y. An optimal guidance strategy for fire evacuations: A hybrid modeling approach. J Build Eng. 2023;73:106796. https://doi.org/10.1016/j.jobe.2023.106796
- Wang X, Xia G, Zhao J, Wang J, Yang Z, Loughney S, Fang S, Zhang S, Xing Y, Liu Z. A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation. Reliab Eng Syst Saf. 2023;230:108887. https://doi.org/10.1016/j.ress.2022.108887
- Roosenbrand E, van Manen J, Gillingwater D. Operational contrail minimisation of transatlantic flights through altitude diversions. Transp Res Part D Transp Environ. 2023;122:103902. https://doi.org/10.1016/j.trd.2023.103902.
- Wang S, Wang J, Wang X. Risk analysis of human evacuation aboard passenger ships based on fuzzy DEMATEL-ISM-BN. Ocean Eng. 2024;313:119520. https://doi.org/10.1016/j.oceaneng.2024.119520
- Liu Y, Zhang Z, Mao Z. Analysis of influencing factors in pre-evacuation time using interpretive structural modeling. Saf Sci. 2020;128:104785. https://doi.org/10.1016/j.ssci.2020.104785
- Akbar AE, Hassanain MA. BIM-based simulation tools for occupant evacuation: A scoping review. Facilities. 2023;41(9–10):623–645. https://doi.org/10.1108/F-01-2023-0006
- Fu M, Liu R, Ragan E. An immersive virtual reality experimental study of occupants’ behavioral compliance during indoor evacuations. Int J Disaster Risk Reduct. 2024;107:104420. https://doi.org/10.1016/j.ijdrr.2024.104420
- Martínez-Val R, Hedo J, Pérez E. Uncommon exit arrangement effects in airplane emergency evacuation. Proc Inst Mech Eng Part G J Aerosp Eng. 2018. https://doi.org/10.1177/0954410017714007
- Senanayake GP, Kieu M, Zou Y, Dirks K. Agent-based simulation for pedestrian evacuation: A systematic literature review. Int J Disaster Risk Reduct. 2024;111:104705. https://doi.org/10.1016/j.ijdrr.2024.104705
- Sun H, Han G, Zhang X, Ruan X. Grasping emergency dynamics: A review of group evacuation techniques and strategies in major emergencies. J Saf Sci Resil. 2025;6(1):1–20. https://doi.org/10.1016/j.jnlssr.2024.05.006
- Turgut Y, Bozdag CE. Modeling pedestrian group behavior in crowd evacuations. Fire Mater. 2022;46(2):420–442. https://doi.org/10.1002/fam.2978
- Xie W, Lee EWM, Lee YY. Simulation of spontaneous leader–follower behaviour in crowd evacuation. Automation in Construction. 2022;134:104100. https://doi.org/10.1016/j.autcon.2021.104100.
- Haghani M. Optimising crowd evacuations: Mathematical, architectural and behavioural approaches. Saf Sci. 2020;128:104745. https://doi.org/10.1016/j.ssci.2020.104745
- Aldahlawi RY, Akbari V, Lawson G. A systematic review of methodologies for human behavior modelling and routing optimization in large-scale evacuation planning. Int J Disaster Risk Reduct. 2024;110:104638. https://doi.org/10.1016/j.ijdrr.2024.104638
- Ronchi E, Reneke PA, Peacock RD. A method for the analysis of behavioural uncertainty in evacuation modelling. Fire Technology. 2014;50(6):1545–1571. https://doi.org/10.1007/s10694-013-0352-7
- MacGillivray BH. Handling uncertainty in models of seismic and postseismic hazards: Toward robust methods and resilient societies. Risk Anal. 2021;41(9):1499–1512. https://doi.org/10.1111/risa.13663
- Auza A, Asadi E, Chenari B. A systematic review of uncertainty handling approaches for electric grids considering electrical vehicles. Energies. 2023;16(13). https://doi.org/10.3390/en16134983
- Campolongo F, Saltelli A, Cariboni J. From screening to quantitative sensitivity analysis. A unified approach. Comput Phys Commun. 2011;182(4):978-988. https://doi.org/10.1016/j.cpc.2010.12.039
- Khalili SM, Mojtahedi M, Steinmetz-Weiss C, Sanderson D. A systematic literature review on transit-based evacuation planning in emergency logistics management: Optimisation and modelling approaches. Buildings. 2024;14(1). https://doi.org/10.3390/buildings14010176
- Andreadakis A, Dalaklis D. Systematic review of the problematic factors in the evacuation of cruise/large passenger vessels and existing solutions. Appl Sci. 2024;14(24). https://doi.org/10.3390/app142411723
- Zhang X, Zhang H, Wang S, Xiao Z, Zhang W. Analysis of the impact of small group behavior on cruise ship emergency evacuation. Appl Sci. 2023;13(17). https://doi.org/10.3390/app13179976
- Fu L, Cao S, Song W, Fang J. The influence of emergency signage on building evacuation behavior: An experimental study. Fire Mater. 2018;43(1):22–33. https://doi.org/10.1002/fam.2665
- Giannoulaki M, Christoforou Z. Pedestrian walking speed analysis: A systematic review. Sustainability. 2024;16(11). https://doi.org/10.3390/su16114813
- Santiago A, Butakoff C, Eguzkitza B, Gray RA, May-Newman K, Pathmanathan P, et al. Design and execution of a verification, validation, and uncertainty quantification plan for a numerical model of left ventricular flow after LVAD implantation. PLoS Comput Biol. 2022;18(6):e1010141. https://doi.org/10.1371/journal.pcbi.1010141
- Razavi S, Jakeman A, Saltelli A, Prieur C, Iooss B, Borgonovo E, et al. The future of sensitivity analysis: An essential discipline for systems modeling and policy support. Environ Model Softw. 2021;137:104954. https://doi.org/10.1016/j.envsoft.2020.104954
- Shao G, Hightower J, Schindel W. Credibility consideration for digital twins in manufacturing. Manuf Lett. 2022;35:24–28. https://doi.org/10.1016/j.mfglet.2022.11.009
- Gwynne MV, Kuligowski ED, Boyce KE, Nilsson D, Robbins AP, Lovreglio R, et al. Enhancing egress drills: Preparation and assessment of evacuee performance. Fire Mater. 2019;43(6):613–631. https://doi.org/10.1002/fam.2448
- Okonkwo P, Smith H. Review of evolving trends in blended wing body aircraft design. Prog Aerosp Sci. 2016;82:1–23. https://doi.org/10.1016/j.paerosci.2015.12.002
- Ma Y, Yuan J, Tan L, Liu Q, Li M. A model for aircraft cabin evacuation considering passenger type. J Saf Sci Resil. 2024;5(1):83–90. https://doi.org/10.1016/j.jnlssr.2023.12.002
- Xu C, Luo Y, Fuellhart K, Shao Q, Witlox F. Modeling exit choice behavior in airplane emergency evacuations. J Air Transp Manag. 2023;112:102450. https://doi.org/10.1016/j.jairtraman.2023.102450
- Lovreglio R, Kuligowski E, Gwynne S, Boyce KE. A pre-evacuation database for use in egress simulations. Fire Saf J. 2019;105:107–128. https://doi.org/10.1016/j.firesaf.2018.12.009
- Seike M, Kawabata N, Hasegawa M. Walking speed under emergency situation in smoke-filled tunnel with obstacles. Tunn Undergr Space Technol. 2023;133:104939. https://doi.org/10.1016/j.tust.2022.104939
- Chen K, Wang X, Li P, et al. Modeling and evaluating passenger evacuation and risk in blended wing body aircraft using continuous displacement agents. Discov Appl Sci. 2025;7:48. https://doi.org/10.1007/s42452-024-06325-y
- Sun X, Croke B, Roberts S, Jakeman A. Comparing methods of randomizing Sobol’ sequences for improving uncertainty of metrics in variance-based global sensitivity estimation. Reliab Eng Syst Saf. 2021;210:107499. https://doi.org/10.1016/j.ress. 2021.107499
- Nakayama MK, Tuffin B. Sufficient conditions for central limit theorems and confidence intervals for randomized quasi-Monte Carlo methods. ACM Trans Model Comput Simul. 2024;34(3):13. https://doi.org/10.1145/3643847
- Renardy M, Joslyn LR, Millar JA, Kirschner DE. To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications. Math Biosci. 2021;337:108593. https://doi.org/10.1016/j.mbs.2021.108593
- Gobbin A, Khosravi R, Bardenhagen A. Emergency evacuation simulation of commercial aircraft: Influence of body- and behaviour parameters. SN Appl Sci. 2021;3:446. https://doi.org/10.1007/s42452-021-04295-z
- Galea ER. Investigating the expanded use of modelling and simulation for evacuation certifications using the airEXODUS Aircraft Evacuation Simulation Software. Washington (DC): Federal Aviation Administration; 2025. Available from: https://rosap.ntl.bts.gov/view/dot/82737
- Moustapha M, Sudret B. Surrogate-assisted reliability-based design optimization: A survey and a unified modular framework. Struct Multidiscip Optim. 2019;60:2157–2176. https://doi.org/10.1007/s00158-019-02290-y
- Li X, Yang Q, Wang Y, Han X, Cao Y, Fan L, Ma J. Development of surrogate models in reliability-based design optimization: A review. Math Biosci Eng. 2021;18(5):6386–6409. https://doi.org/10.3934/mbe.2021317
DOI: https://doi.org/10.2478/tar-2026-0006 | Journal eISSN: 2545-2835
Language: English
Page range: 121 - 157
Submitted on: Feb 4, 2025
Accepted on: Mar 5, 2026
Published on: Mar 18, 2026
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