Systems resilience assessments: a review, framework and metrics
The past several decades have witnessed an increasing number of natural and manmade
hazards with a dramatic impact on the normal operations of the society. The occurrences of …
hazards with a dramatic impact on the normal operations of the society. The occurrences of …
Implication of building inventory accuracy on physical and socio-economic resilience metrics for informed decision-making in natural hazards
The data and information available at the community-scale are directly linked to the ability to
make a resilience-informed decision in natural hazards. This paper develops a systematic …
make a resilience-informed decision in natural hazards. This paper develops a systematic …
Performance-based post-earthquake decision making for instrumented buildings
M Roohi, EM Hernandez - Journal of Civil Structural Health Monitoring, 2020 - Springer
This paper develops a decision making framework for post-earthquake assessment of
instrumented buildings in a manner consistent with performance-based design criteria. This …
instrumented buildings in a manner consistent with performance-based design criteria. This …
Information fusion for automated post-disaster building damage evaluation using deep neural network
This paper develops a hybrid neural network architecture named multi-class factorization
machine with deep neural network (multi-FMDNN) to fuse multi-source information for the …
machine with deep neural network (multi-FMDNN) to fuse multi-source information for the …
Navigating uncertainty with cybernetics principles: A scoping review of interdisciplinary resilience strategies for rail systems
Common difficulties across industries are discovered in data management, where handling
the volume, variety, and quality of data is crucial for informed decisions in uncertain …
the volume, variety, and quality of data is crucial for informed decisions in uncertain …
Building forwards: Bibliometric analysis and framework construction for community resilience
H Hu, K Yan, Z Zhu, T Lv - Journal of Contingencies and Crisis …, 2024 - Wiley Online Library
The occurrence of 'black swan'and 'grey rhino'events is creating new risks for communities,
and building resilient communities has become a global consensus. Using the Bibliometrix …
and building resilient communities has become a global consensus. Using the Bibliometrix …
Human-machine collaboration framework for structural health monitoring and resiliency
S Muin, KM Mosalam - Engineering Structures, 2021 - Elsevier
Post-earthquake damage assessment can be significantly expedited when machine
learning (ML) algorithms supported by sensing technologies are used. ML has some …
learning (ML) algorithms supported by sensing technologies are used. ML has some …
Enabling rapid large-scale seismic bridge vulnerability assessment through artificial intelligence
Departments of transportation (DOTs) throughout the United States maintain vast bridge
databases that house information such as bridge services, dimensions, materials, inspection …
databases that house information such as bridge services, dimensions, materials, inspection …
Machine-aided bridge deck crack condition state assessment using artificial intelligence
The Federal Highway Administration (FHWA) mandates biannual bridge inspections to
assess the condition of all bridges in the United States. These inspections are recorded in …
assess the condition of all bridges in the United States. These inspections are recorded in …
The Risky-Opportunity Analysis Method (ROAM) to Support Risk-Based Decisions in a Case-Study of Critical Infrastructure Digitization
Socio-ecologic, socio-economic, and socio-technical transitions are opportunities that
require fundamental changes in the system. These will encounter matters associated with …
require fundamental changes in the system. These will encounter matters associated with …