Andréia da Silva Meyer

Bio: Andréia da Silva Meyer is an academic researcher from Sao Paulo State University. The author has contributed to research in topics: Supply chain & Vendor-managed inventory. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach

Abstract: Inventory management in supply chains faces several typical problems, such as low turnover, high inventory investments, lost sales due to a stockout of certain items and surpluses of these same ite...

System-Level Seismic Risk Assessment of Bridge Transportation Networks

Abstract: 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.