Seismic risk assessment of transportation networks

2022 ◽  
pp. 321-351
Author(s):  
You Dong ◽  
Jing Qian ◽  
Changhai Zhai
2020 ◽  
Vol 10 (18) ◽  
pp. 6476
Author(s):  
Sungsik Yoon ◽  
Jeongseob Kim ◽  
Minsun Kim ◽  
Hye-Young Tak ◽  
Young-Joo Lee

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.


2017 ◽  
Vol 109 (4) ◽  
pp. 3394-3401
Author(s):  
Mutiara Puspahati Cripstyani ◽  
Ireng Guntorojati ◽  
Dimas Pramudya ◽  
S.A Kristiawan ◽  
Senot Sangadji

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Hye-Young Tak ◽  
Wonho Suh ◽  
Young-Joo Lee

Earthquakes can have significant impacts on transportation networks because of the physical damage they can cause to bridges. Hence, it is essential to assess the seismic risk of a bridge transportation network accurately. However, this is a challenging task because it requires estimating the performance of a bridge transportation network at the system level. Moreover, it is necessary to deal with various possible earthquake scenarios and the associated damage states of component bridges considering the uncertainty of earthquake locations and magnitudes. To overcome these challenges, this study proposes a new method of system-level seismic risk assessment for bridge transportation networks employing probabilistic seismic hazard analysis (PSHA). The proposed method consists of three steps: (1) seismic fragility estimation of the bridges based on PSHA; (2) system-level performance estimation using a matrix-based framework; and (3) seismic risk assessment based on the total probability theorem. In the proposed method, PSHA enables the seismic fragility estimation of the component bridges considering the uncertainty of earthquake locations and magnitudes, and it is systemically used to carry out a posthazard bridge network flow capacity analysis by employing the matrix-based framework. The proposed method provides statistical moments of the network performance and component importance measures, which can be used by decision makers to reduce the seismic risk of a target area. To test the proposed method, it is applied to a numerical example of an actual transportation network in South Korea. In the seismic risk assessment of the example, PSHA is successfully integrated with the matrix-based framework to perform system reliability analysis in a computationally efficient manner.


2019 ◽  
Vol 1 (Special Issue on First SACEE'19) ◽  
pp. 55-75
Author(s):  
Fabio Sabetta

In this paper, the main features of the policies adopted in Italy for seismic risk reduction are discussed. Particular attention is given to the Pre-disaster prevention activities such as the implementation of the building code, the seismic risk assessment for a priority scale of intervention, tax incentives and public funding for the vulnerability reduction of the existing buildings, information to population and school education, technical training of experts. The phases of response and post-disaster activities, including emergency management, search and rescue, loss scenarios, and safety assessment of buildings, are also discussed taking example from the most recent devastating earthquakes in Italy (L.Aquila 2009, Amatrice 2016).


2011 ◽  
Vol 05 (01) ◽  
pp. 31-45 ◽  
Author(s):  
T. IMAI ◽  
S. WADA ◽  
T. KOIKE

In order to keep the existing lifeline network system at a favorable seismic performance level, it is necessary to carry out retrofitting activities. This study proposes a seismic risk assessment method for the existing deteriorated lifeline network system based on the probability of system performance failure. Numerical simulations are carried out for the existing water distribution network system for several seismic investment strategies to support the decision making of seismic disaster mitigation planning. Effective planning of seismic retrofitting activities and disaster mitigation for the existing lifeline system can be realized using the newly developed assessment method.


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