دانلود مقاله ISI انگلیسی شماره 95600
ترجمه فارسی عنوان مقاله

افزایش شبیه سازی تخلیه سونامی برای تجزیه و تحلیل چند سناریوی با استفاده از محاسبات موازی

عنوان انگلیسی
Enhancing a tsunami evacuation simulation for a multi-scenario analysis using parallel computing
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
95600 2018 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Simulation Modelling Practice and Theory, Volume 83, April 2018, Pages 36-50

ترجمه کلمات کلیدی
مدل سازی مبتنی بر عامل، تخلیه سونامی، محاسبات موازی، شبیه سازی زمان واقعی،
کلمات کلیدی انگلیسی
Agent-based modelling; Tsunami evacuation; Parallel computing; Real-time simulation;
پیش نمایش مقاله
پیش نمایش مقاله  افزایش شبیه سازی تخلیه سونامی برای تجزیه و تحلیل چند سناریوی با استفاده از محاسبات موازی

چکیده انگلیسی

The numerical investigation of tsunami evacuation is becoming a major way to assess the potential evacuation risks and consider countermeasures, but it has been mostly limited to GIS-based static analysis or macroscopic agent-based modelling due to the costs of large-scale simulations. In this paper, we propose a simplified force-based evacuation simulation model and an easy-to-implement parallelization strategy for a large-scale microscopic tsunami evacuation simulation and demonstrate its applications in an actual urban environment. First, the simulation performance was verified and validated against experimental and observational results regarding basic pedestrian movement. The test results qualitatively and quantitatively showed good agreement with real pedestrian movements. The model was then applied to a case of tsunami evacuations in Kesennuma City, where the 2011 Tohoku tsunami caused devastating damage. The model was successfully scaled up to provide urban-scale characterization. In this application, the developed simulator was implemented by a hybrid MPI/OpenMP parallelized computing technique. By utilizing the proposed model with parallel computing, we achieved an urban-scale microscopic evacuation simulation five times faster than real-time and a stochastic simulation to evaluate the uncertainty in the evacuation simulation.