Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load
Abstract This study introduces a simplified model for bridge–vehicle interaction for medium- to long-span bridges subject to random traffic loads. Previous studies have focused on calculating the exact response of the vehicle or the bridge based on an interaction force derived from the compatibilit...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2021
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| Online Access: | https://hdl.handle.net/1721.1/131568 |
| _version_ | 1811070910367531008 |
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| author | Sadeghi Eshkevari, Soheil Matarazzo, Thomas J Pakzad, Shamim N |
| author2 | Senseable City Laboratory |
| author_facet | Senseable City Laboratory Sadeghi Eshkevari, Soheil Matarazzo, Thomas J Pakzad, Shamim N |
| author_sort | Sadeghi Eshkevari, Soheil |
| collection | MIT |
| description | Abstract
This study introduces a simplified model for bridge–vehicle interaction for medium- to long-span bridges subject to random traffic loads. Previous studies have focused on calculating the exact response of the vehicle or the bridge based on an interaction force derived from the compatibility between two systems. This process requires multiple iterations per time step per vehicle until the compatibility is reached. When a network of vehicles is considered, the compatibility equation turns to a system of coupled equations which dramatically increases the complexity of the convergence process. In this study, we simplify the problem into two sub-problems that are decoupled: (a) a bridge subject to random excitation, and (b) individual sensing agents that are subjected to linear superposition of the bridge response and the road profile roughness. The study provides sufficient evidences to confirm that the proposed simulation approach is valid with minimal error when the bridge span is medium to long, and the spatio-temporal load pattern can be modeled as random white noise. The latter assumption is verified using a comparative study on a random traffic network. Quantitatively, the proposed approach is over 1000 times computationally more efficient when compared to the conventional approach for a 500 m long bridge, with response simulation errors below 0.1%. |
| first_indexed | 2024-09-23T08:43:35Z |
| format | Article |
| id | mit-1721.1/131568 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:43:35Z |
| publishDate | 2021 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1315682023-02-22T21:22:33Z Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load Sadeghi Eshkevari, Soheil Matarazzo, Thomas J Pakzad, Shamim N Senseable City Laboratory Abstract This study introduces a simplified model for bridge–vehicle interaction for medium- to long-span bridges subject to random traffic loads. Previous studies have focused on calculating the exact response of the vehicle or the bridge based on an interaction force derived from the compatibility between two systems. This process requires multiple iterations per time step per vehicle until the compatibility is reached. When a network of vehicles is considered, the compatibility equation turns to a system of coupled equations which dramatically increases the complexity of the convergence process. In this study, we simplify the problem into two sub-problems that are decoupled: (a) a bridge subject to random excitation, and (b) individual sensing agents that are subjected to linear superposition of the bridge response and the road profile roughness. The study provides sufficient evidences to confirm that the proposed simulation approach is valid with minimal error when the bridge span is medium to long, and the spatio-temporal load pattern can be modeled as random white noise. The latter assumption is verified using a comparative study on a random traffic network. Quantitatively, the proposed approach is over 1000 times computationally more efficient when compared to the conventional approach for a 500 m long bridge, with response simulation errors below 0.1%. 2021-09-20T17:20:25Z 2021-09-20T17:20:25Z 2020-06-12 2020-09-24T21:08:46Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131568 en https://doi.org/10.1007/s13349-020-00413-4 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Springer-Verlag GmbH Germany, part of Springer Nature application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Sadeghi Eshkevari, Soheil Matarazzo, Thomas J Pakzad, Shamim N Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load |
| title | Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load |
| title_full | Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load |
| title_fullStr | Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load |
| title_full_unstemmed | Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load |
| title_short | Simplified vehicle–bridge interaction for medium to long-span bridges subject to random traffic load |
| title_sort | simplified vehicle bridge interaction for medium to long span bridges subject to random traffic load |
| url | https://hdl.handle.net/1721.1/131568 |
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