Conceptual Framework for the Seismic Risk Evaluation of Transportation Networks in Romania

2016 ◽  
pp. 481-496
Author(s):  
Dragos Toma-Danila ◽  
Iuliana Armas ◽  
Carmen Ortanza Cioflan
Keyword(s):  
Conceptual Framework ◽  
Seismic Risk ◽  
Risk Evaluation ◽  
Transportation Networks

scholarly journals Semantic model for flood management

2012 ◽  
Vol 14 (4) ◽  
pp. 918-936 ◽  
Author(s):  
Julián Garrido ◽  
Ignacio Requena ◽  
Stefano Mambretti
Keyword(s):  
Risk Assessment ◽  
Conceptual Framework ◽  
Environmental Assessment ◽  
Risk Evaluation ◽  
Evaluation Process ◽  
Flood Management ◽  
Semantic Model ◽  
Effective Management ◽  
Flood Events ◽  
Qualified Personnel

Risk assessment involves the study of vulnerability and hazards. When focused on flood events, such an analysis should evidently include the theoretical and practical study of floods and their behavior. Nevertheless, risk assessment is not useful if the results are not subsequently used for more effective management and planning by local authorities and qualified personnel. The risk evaluation process is composed of a set of actions, each of which requires different inputs. In fact, the results of one action are used as the input for another. This paper describes a semantic model for the study and management of floods with a view to elaborating a conceptual framework and designing a knowledge base. The model is based on the environmental assessment ontology and demonstrates how a brief ontology can be generated.

Seismic Risk Evaluation of Retrofitted Reinforced Concrete Buildings Utilizing Base Isolation and Considering Mainshock-Aftershock

2013 ◽  
Vol 671-674 ◽  
pp. 1372-1375
Author(s):  
Rui Long Han ◽  
Yue Li
Keyword(s):  
Seismic Risk ◽  
Risk Evaluation ◽  
Base Isolation ◽  
Seismic Hazards ◽  
Nonlinear Finite Element ◽  
Structural Safety ◽  
Seismic Fragility ◽  
Rc Frame ◽  
Actual Situation ◽  
Element Analysis

The insufficient consideration of seismic risk caused hidden danger for structural safety in many areas. A promising retrofit method for these structures is base isolation. In order to evaluate the effectiveness of this approach, a hypothetical RC frame based on actual situation is designed to be retrofitted using base isolation. Then, seismic fragilities for both un-retrofitted and isolated frames are analyzed, utilizing the results obtained from nonlinear finite-element analysis. The ground motion of the analysis contains 22 earthquake motions, and the results of considering mainshock-aftershock and those of considering only mainshock are compared. The study proves the well designed base isolation can reduce the seismic fragility of the RC frame effectively, and the exclusive consideration of mainshock will underestimate the seismic hazards for structures.

scholarly journals Rapid and in-depth analysis for seismic risk evaluation

2017 ◽  
Vol 909 ◽  
pp. 012071
Author(s):  
Novi Dwi Astuti ◽  
Meli Anta Alvita ◽  
Senot Sangadji ◽  
AP Rahmadi ◽  
Edy Purwanto
Keyword(s):  
Seismic Risk ◽  
Risk Evaluation ◽  
Depth Analysis

scholarly journals Accelerated System-Level Seismic Risk Assessment of Bridge Transportation Networks through Artificial Neural Network-Based Surrogate Model

2020 ◽  
Vol 10 (18) ◽  
pp. 6476
Author(s):  
Sungsik Yoon ◽  
Jeongseob Kim ◽  
Minsun Kim ◽  
Hye-Young Tak ◽  
Young-Joo Lee
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Surrogate Model ◽  
Seismic Risk ◽  
Transportation Networks ◽  
Training Data ◽  
System Level ◽  
High Dimensional ◽  
Seismic Risk Assessment

In this study, an artificial neural network (ANN)-based surrogate model is proposed to evaluate the system-level seismic risk of bridge transportation networks efficiently. To estimate the performance of a network, total system travel time (TSTT) was introduced as a performance index, and an ANN-based surrogate model was incorporated to evaluate a high-dimensional network with probabilistic seismic hazard analysis (PSHA) efficiently. To generate training data, the damage states of bridge components were considered as the input training data, and TSTT was selected as output data. An actual bridge transportation network in South Korea was considered as the target network, and the entire network map was reconstructed based on geographic information system data to demonstrate the proposed method. For numerical analysis, the training data were generated based on epicenter location history. By using the surrogate model, the network performance was estimated for various earthquake magnitudes at the trained epicenter with significantly-reduced computational time cost. In addition, 20 historical epicenters were adopted to confirm the robustness of the epicenter. Therefore, it was concluded that the proposed ANN-based surrogate model could be used as an alternative for efficient system-level seismic risk assessment of high-dimensional bridge transportation networks.

scholarly journals Vector-valued fragility functions for seismic risk evaluation

2012 ◽  
Vol 11 (2) ◽  
pp. 365-384 ◽  
Author(s):  
Pierre Gehl ◽  
Darius M. Seyedi ◽  
John Douglas
Keyword(s):  
Seismic Risk ◽  
Risk Evaluation ◽  
Fragility Functions ◽  
Vector Valued
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