Title of article :
A New Configuration of Bearings by Optimum Design of Isolated Highway Bridges
Author/Authors :
Ganjehei, Hamid Department of Civil Engineering - Science and Research Branch - Islamic Azad University - Tehran, Iran , Zarfam, Panam Department of Civil Engineering - Science and Research Branch - Islamic Azad University - Tehran, Iran , Ghafory-Ashtiany, Mohsen Structural Engineering Research Center - International Institute of Earthquake Engineering and Seismology (IIEES) - Tehran, Iran
Pages :
16
From page :
89
To page :
104
Abstract :
Highway bridges are amongst the most expensive, most widely used, and most vital infrastructures subject to the earthquake hazard. Seismic demand for bridges can be reduced by adding isolation systems. Lead-Rubber Bearing (LRB) isolators are widely used isolating devices whose optimal utilization studied in this article by using the Genetic Algorithm (GA). In this research, the analysis and design of deckisolated bridges using Lead Rubber Bearings (LRBs) is carried out in accordance with the construction site, AASHTO criteria, and procedural rules for seismic bridge design. The LRB properties, along with the piers dimension selected as optimization variables. These variables' values applied in objective function using AASHTO design equations as constraints. Various pier heights and LRB placement scenarios regarded for assessing the sensitivity of optimum results. According to the results of the investigation, the research subject was repeated for not using LRB isolators in the side spans. Finally, a comparison of all the results showed that the larger LRB demands increased the effectiveness of LRBs in absorbing input vibrations and mitigating the bridge's seismic demand by about 20 to 50 percent. Also, it showed that it is more economical to exclude LRBs from abutment supports and limit their usage to the inner supports of the deck.
Keywords :
Genetic Algorithms (GA) , Optimization , Lead Rubber Bearing (LRB) , Isolated bridge
Journal title :
Journal of Seismology and Earthquake Engineering (JSEE)
Serial Year :
2020
Record number :
2732300
Link To Document :
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