Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Shafieezadeh, Abdollah"'
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida. The investigation is performed using the Random Forest classifier with Mean Decrease of Accuracy (MDA) for meas
Externí odkaz:
http://arxiv.org/abs/2208.09063
Significant outages from weather and climate extremes have highlighted the critical need for resilience-centered risk management of the grid. This paper proposes a multi-stage stochastic robust optimization (SRO) model that advances the existing plan
Externí odkaz:
http://arxiv.org/abs/2205.10459
Publikováno v:
In Reliability Engineering and System Safety October 2024 250
Autor:
Shafieezadeh, Abdollah
Serving as critical gateways for international trade, seaports are pivotal elements in transportation networks. Any disruption in the activities of port infrastructures may lead to significant losses from secondary economic effects, and can hamper th
Externí odkaz:
http://hdl.handle.net/1853/41203
The maturity of structural health monitoring technology brings ever-increasing opportunities for geotechnical structures and underground infrastructure systems to track the risk of structural failure, such as settlement-induced building damage, based
Externí odkaz:
http://arxiv.org/abs/2201.06332
Publikováno v:
Structural Safety, Volume 94, January 2022, 102141
In many fields of science and engineering, models with different fidelities are available. Physical experiments or detailed simulations that accurately capture the behavior of the system are regarded as high-fidelity models with low model uncertainty
Externí odkaz:
http://arxiv.org/abs/2109.10219
Publikováno v:
Reliability Engineering & System Safety (2021) 107973
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks. However, analyzing reliability of systems using computationally expensive flo
Externí odkaz:
http://arxiv.org/abs/2109.05360
Publikováno v:
In Structural Safety July 2024 109
Reinforcement learning (RL) has shown a promising performance in learning optimal policies for a variety of sequential decision-making tasks. However, in many real-world RL problems, besides optimizing the main objectives, the agent is expected to sa
Externí odkaz:
http://arxiv.org/abs/2107.13944
Large uncertainties in many phenomena have challenged decision making. Collecting additional information to better characterize reducible uncertainties is among decision alternatives. Value of information (VoI) analysis is a mathematical decision fra
Externí odkaz:
http://arxiv.org/abs/2002.02354