Measurement of Vehicle-Bridge-Interaction force using dynamic tire pressure monitoring
•Propose an innovative Vehicle-Bridge-Interaction (VBI) force measurement method using dynamic tire pressure monitoring.•The proposed method consists of a thermodynamics-based VBI force model, a parameter estimation using the EKF and a preprocessing for the tire pressure data.•The proposed method sh...
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Veröffentlicht in: | Mechanical systems and signal processing 2018-05, Vol.104, p.370-383 |
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creator | Chen, Zhao Xie, Zhipeng Zhang, Jian |
description | •Propose an innovative Vehicle-Bridge-Interaction (VBI) force measurement method using dynamic tire pressure monitoring.•The proposed method consists of a thermodynamics-based VBI force model, a parameter estimation using the EKF and a preprocessing for the tire pressure data.•The proposed method showed a generally good ability to reconstruct the VBI force in a tire-beam-interaction experiment and a high-speed experiment.
The Vehicle-Bridge-Interaction (VBI) force, i.e., the normal contact force of a tire, is a key component in the VBI mechanism. The VBI force measurement can facilitate experimental studies of the VBI as well as input-output bridge structural identification. This paper introduces an innovative method for calculating the interaction force by using dynamic tire pressure monitoring. The core idea of the proposed method combines the ideal gas law and a basic force model to build a relationship between the tire pressure and the VBI force. Then, unknown model parameters are identified by the Extended Kalman Filter using calibration data. A signal filter based on the wavelet analysis is applied to preprocess the effect that the tire rotation has on the pressure data. Two laboratory tests were conducted to check the proposed method’s validity. The effects of different road irregularities, loads and forward velocities were studied. Under the current experiment setting, the proposed method was robust to different road irregularities, and the increase in load and velocity benefited the performance of the proposed method. A high-speed test further supported the use of this method in rapid bridge tests. Limitations of the derived theories and experiment were also discussed. |
doi_str_mv | 10.1016/j.ymssp.2017.11.001 |
format | Article |
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The Vehicle-Bridge-Interaction (VBI) force, i.e., the normal contact force of a tire, is a key component in the VBI mechanism. The VBI force measurement can facilitate experimental studies of the VBI as well as input-output bridge structural identification. This paper introduces an innovative method for calculating the interaction force by using dynamic tire pressure monitoring. The core idea of the proposed method combines the ideal gas law and a basic force model to build a relationship between the tire pressure and the VBI force. Then, unknown model parameters are identified by the Extended Kalman Filter using calibration data. A signal filter based on the wavelet analysis is applied to preprocess the effect that the tire rotation has on the pressure data. Two laboratory tests were conducted to check the proposed method’s validity. The effects of different road irregularities, loads and forward velocities were studied. Under the current experiment setting, the proposed method was robust to different road irregularities, and the increase in load and velocity benefited the performance of the proposed method. A high-speed test further supported the use of this method in rapid bridge tests. Limitations of the derived theories and experiment were also discussed.</description><identifier>ISSN: 0888-3270</identifier><identifier>EISSN: 1096-1216</identifier><identifier>DOI: 10.1016/j.ymssp.2017.11.001</identifier><language>eng</language><publisher>Berlin: Elsevier Ltd</publisher><subject>Contact force ; Contact pressure ; Extended Kalman filter ; Force measurement ; Ideal gas ; Irregularities ; Laboratory tests ; Monitoring ; Parameter identification ; Pressure ; Tire pressure ; Tires ; Vehicle-Bridge-Interaction ; Wavelet analysis</subject><ispartof>Mechanical systems and signal processing, 2018-05, Vol.104, p.370-383</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV May 1, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-71f61428687c18563835e93f301e1951d764a514505fa09a3a0912c71489c4fc3</citedby><cites>FETCH-LOGICAL-c442t-71f61428687c18563835e93f301e1951d764a514505fa09a3a0912c71489c4fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ymssp.2017.11.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Chen, Zhao</creatorcontrib><creatorcontrib>Xie, Zhipeng</creatorcontrib><creatorcontrib>Zhang, Jian</creatorcontrib><title>Measurement of Vehicle-Bridge-Interaction force using dynamic tire pressure monitoring</title><title>Mechanical systems and signal processing</title><description>•Propose an innovative Vehicle-Bridge-Interaction (VBI) force measurement method using dynamic tire pressure monitoring.•The proposed method consists of a thermodynamics-based VBI force model, a parameter estimation using the EKF and a preprocessing for the tire pressure data.•The proposed method showed a generally good ability to reconstruct the VBI force in a tire-beam-interaction experiment and a high-speed experiment.
The Vehicle-Bridge-Interaction (VBI) force, i.e., the normal contact force of a tire, is a key component in the VBI mechanism. The VBI force measurement can facilitate experimental studies of the VBI as well as input-output bridge structural identification. This paper introduces an innovative method for calculating the interaction force by using dynamic tire pressure monitoring. The core idea of the proposed method combines the ideal gas law and a basic force model to build a relationship between the tire pressure and the VBI force. Then, unknown model parameters are identified by the Extended Kalman Filter using calibration data. A signal filter based on the wavelet analysis is applied to preprocess the effect that the tire rotation has on the pressure data. Two laboratory tests were conducted to check the proposed method’s validity. The effects of different road irregularities, loads and forward velocities were studied. Under the current experiment setting, the proposed method was robust to different road irregularities, and the increase in load and velocity benefited the performance of the proposed method. A high-speed test further supported the use of this method in rapid bridge tests. Limitations of the derived theories and experiment were also discussed.</description><subject>Contact force</subject><subject>Contact pressure</subject><subject>Extended Kalman filter</subject><subject>Force measurement</subject><subject>Ideal gas</subject><subject>Irregularities</subject><subject>Laboratory tests</subject><subject>Monitoring</subject><subject>Parameter identification</subject><subject>Pressure</subject><subject>Tire pressure</subject><subject>Tires</subject><subject>Vehicle-Bridge-Interaction</subject><subject>Wavelet analysis</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEqXwC7hE4pywazuvAweoeFQq4gK9WpazKY6aONgpUv89LuXMZecyM6v5GLtGyBCwuO2yfR_CmHHAMkPMAPCEzRDqIkWOxSmbQVVVqeAlnLOLEDoAqCUUM7Z-JR12nnoapsS1yZo-rdlS-uBts6F0OUzktZmsG5LWeUPJLthhkzT7QffWJJP1lIyewqEj6d1gJ-ej4ZKdtXob6OpP5-zj6fF98ZKu3p6Xi_tVaqTkU1piW6DkVVGVBqu8EJXIqRatACSsc2zKQuocZQ55q6HWIh7kpkRZ1Ua2RszZzbF39O5rR2FSndv5Ib5UHLgEzmN9dImjy3gXgqdWjd722u8VgjoAVJ36BagOABWiigBj6u6Yojjg25JXwVgaDDVxtJlU4-y_-R9PrHnc</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Chen, Zhao</creator><creator>Xie, Zhipeng</creator><creator>Zhang, Jian</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20180501</creationdate><title>Measurement of Vehicle-Bridge-Interaction force using dynamic tire pressure monitoring</title><author>Chen, Zhao ; Xie, Zhipeng ; Zhang, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-71f61428687c18563835e93f301e1951d764a514505fa09a3a0912c71489c4fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Contact force</topic><topic>Contact pressure</topic><topic>Extended Kalman filter</topic><topic>Force measurement</topic><topic>Ideal gas</topic><topic>Irregularities</topic><topic>Laboratory tests</topic><topic>Monitoring</topic><topic>Parameter identification</topic><topic>Pressure</topic><topic>Tire pressure</topic><topic>Tires</topic><topic>Vehicle-Bridge-Interaction</topic><topic>Wavelet analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Zhao</creatorcontrib><creatorcontrib>Xie, Zhipeng</creatorcontrib><creatorcontrib>Zhang, Jian</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Mechanical systems and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Zhao</au><au>Xie, Zhipeng</au><au>Zhang, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement of Vehicle-Bridge-Interaction force using dynamic tire pressure monitoring</atitle><jtitle>Mechanical systems and signal processing</jtitle><date>2018-05-01</date><risdate>2018</risdate><volume>104</volume><spage>370</spage><epage>383</epage><pages>370-383</pages><issn>0888-3270</issn><eissn>1096-1216</eissn><abstract>•Propose an innovative Vehicle-Bridge-Interaction (VBI) force measurement method using dynamic tire pressure monitoring.•The proposed method consists of a thermodynamics-based VBI force model, a parameter estimation using the EKF and a preprocessing for the tire pressure data.•The proposed method showed a generally good ability to reconstruct the VBI force in a tire-beam-interaction experiment and a high-speed experiment.
The Vehicle-Bridge-Interaction (VBI) force, i.e., the normal contact force of a tire, is a key component in the VBI mechanism. The VBI force measurement can facilitate experimental studies of the VBI as well as input-output bridge structural identification. This paper introduces an innovative method for calculating the interaction force by using dynamic tire pressure monitoring. The core idea of the proposed method combines the ideal gas law and a basic force model to build a relationship between the tire pressure and the VBI force. Then, unknown model parameters are identified by the Extended Kalman Filter using calibration data. A signal filter based on the wavelet analysis is applied to preprocess the effect that the tire rotation has on the pressure data. Two laboratory tests were conducted to check the proposed method’s validity. The effects of different road irregularities, loads and forward velocities were studied. Under the current experiment setting, the proposed method was robust to different road irregularities, and the increase in load and velocity benefited the performance of the proposed method. A high-speed test further supported the use of this method in rapid bridge tests. Limitations of the derived theories and experiment were also discussed.</abstract><cop>Berlin</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ymssp.2017.11.001</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Contact force Contact pressure Extended Kalman filter Force measurement Ideal gas Irregularities Laboratory tests Monitoring Parameter identification Pressure Tire pressure Tires Vehicle-Bridge-Interaction Wavelet analysis |
title | Measurement of Vehicle-Bridge-Interaction force using dynamic tire pressure monitoring |
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