Browsing School of Engineering by Author "Gardoni, Paolo"
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Developing digital twins of infrastructure for risk analysis
Gardoni, Paolo; Dunton, Aaron; ICASP14 (2023)Infrastructure are vulnerable to natural and anthropogenic hazards. The general steps in the risk analysis of infrastructure include modeling the undamaged network, modeling the hazard, predicting the damage to components, ... -
Functional Connectivity Analysis (FCA): An efficient method to model infrastructure functionality
Gardoni, Paolo; Sharma, Neetesh; ICASP14; Yu, Juanya (2023)Due to the severe aftermath of past disasters, governments globally have acknowledged the importance of critical infrastructure and enacted legislation to protect and improve the functionality of infrastructure vulnerable ... -
Langevin Dynamics for Importance Sampling in Reliability Analysis
Gardoni, Paolo; Jia, Gaofeng; ICASP14; Tabandeh, Armin (2023)Importance Sampling (IS) is a popular simulation method for the reliability analysis of general engineering systems. Its core idea is to build a biased density that can sample from the failure domain more frequently than ... -
Modeling the economic impact of utility damage
ICASP14; Gardoni, Paolo; Sharma, Neetesh (2023)Infrastructure systems (such as power and water utilities) are vulnerable to natural hazards and typically account for a significant portion of the economic losses in a region following disruptive events. Also, disaster ... -
Next Generation Community-Level Resilience Modeling: The Interdependent Networked Community Resilience Modeling Environment (IN-CORE)
Gardoni, Paolo; Van Zandt, Shannon; Cutler, Harvey; Barbosa, Andre; McAllister, Therese; ICASP14; Padgett, Jamie; Lee, Jong; Van de Lindt, John; Kruse, Jamie; Cox, Dan (2023)In 2015, the U.S National Institute of Standards and Technology (NIST) funded the Center of Excellence for Risk-Based Community Resilience Planning (CoE), a 14 university-based consortium of almost 100 people, including ... -
Validating the current state-of-practice for seismic risk (and resilience) analysis
Gardoni, Paolo; Sharma, Neetesh; ICASP14; Yu, Yun-Chi (2023)Regional risk analysis provides information for decisions made by communities, state and federal agencies, and the insurance industry. Model validation and updating are crucial since inaccurate predictions may lead to ...