Condition Diagnosis of Long-Span Bridge Pile Foundations Based on the Spatial Correlation of High-Density Strain Measurement Points
Pile foundations of long-span bridges are often deeply buried in soil, and their structural condition is difficult to accurately diagnose by conventional methods. To address this issue, a method for diagnosing the structural condition of bridge pile foundations based on the spatial correlation of hi...
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| Veröffentlicht in: | Sustainability 2021-11, Vol.13 (22), p.12498 |
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| creator | Liu, Feng Xu, Qianen Liu, Yang |
| description | Pile foundations of long-span bridges are often deeply buried in soil, and their structural condition is difficult to accurately diagnose by conventional methods. To address this issue, a method for diagnosing the structural condition of bridge pile foundations based on the spatial correlation of high-density strain measurement points is proposed. The strain data of the high-density measurement points of a bridge pile foundation are obtained by using distributed optical fiber sensing technology based on Brillouin scattering, and then an algorithm for diagnosing the structural condition of the pile foundation based on geographically weighted regression analysis is presented. On this basis, aiming at the scour of the pile foundation of long-span bridges, an algorithm for estimating the scour depth of the pile foundation based on sliding plane clustering is proposed. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual bridge data. |
| doi_str_mv | 10.3390/su132212498 |
| format | Article |
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To address this issue, a method for diagnosing the structural condition of bridge pile foundations based on the spatial correlation of high-density strain measurement points is proposed. The strain data of the high-density measurement points of a bridge pile foundation are obtained by using distributed optical fiber sensing technology based on Brillouin scattering, and then an algorithm for diagnosing the structural condition of the pile foundation based on geographically weighted regression analysis is presented. On this basis, aiming at the scour of the pile foundation of long-span bridges, an algorithm for estimating the scour depth of the pile foundation based on sliding plane clustering is proposed. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual bridge data.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su132212498</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Acoustics ; Algorithms ; Bridge foundations ; Clustering ; Density measurement ; Earthquakes ; Mathematical models ; Methods ; Optical fibers ; Pile foundations ; Regression analysis ; Sensors ; Soil conditions ; Strain measurement ; Sustainability</subject><ispartof>Sustainability, 2021-11, Vol.13 (22), p.12498</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c298t-49a2f152004ad1be65d3aa0558cd1804f36c29215bf8997dcf63eac8df74ebcc3</citedby><cites>FETCH-LOGICAL-c298t-49a2f152004ad1be65d3aa0558cd1804f36c29215bf8997dcf63eac8df74ebcc3</cites><orcidid>0000-0002-1187-6388</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Liu, Feng</creatorcontrib><creatorcontrib>Xu, Qianen</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><title>Condition Diagnosis of Long-Span Bridge Pile Foundations Based on the Spatial Correlation of High-Density Strain Measurement Points</title><title>Sustainability</title><description>Pile foundations of long-span bridges are often deeply buried in soil, and their structural condition is difficult to accurately diagnose by conventional methods. To address this issue, a method for diagnosing the structural condition of bridge pile foundations based on the spatial correlation of high-density strain measurement points is proposed. The strain data of the high-density measurement points of a bridge pile foundation are obtained by using distributed optical fiber sensing technology based on Brillouin scattering, and then an algorithm for diagnosing the structural condition of the pile foundation based on geographically weighted regression analysis is presented. On this basis, aiming at the scour of the pile foundation of long-span bridges, an algorithm for estimating the scour depth of the pile foundation based on sliding plane clustering is proposed. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual bridge data.</description><subject>Acoustics</subject><subject>Algorithms</subject><subject>Bridge foundations</subject><subject>Clustering</subject><subject>Density measurement</subject><subject>Earthquakes</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Optical fibers</subject><subject>Pile foundations</subject><subject>Regression analysis</subject><subject>Sensors</subject><subject>Soil conditions</subject><subject>Strain measurement</subject><subject>Sustainability</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpN0D1PwzAQBmALgURVOvEHLDGigD-SNB5pSilSEZUKc-TG59RVahfbGTr3j5NSht5yNzx3J70I3VPyxLkgz6GjnDHKUlFcoQEjY5pQkpHri_kWjULYkr44p4LmA3QsnVUmGmfx1MjGumACdhovnG2S1V5aPPFGNYCXpgU8c51V8qQDnsgACvd7cQO4l9HIFpfOe2j_xOnK3DSbZAo2mHjAq-ilsfgDZOg87MBGvHTGxnCHbrRsA4z--xB9z16_ynmy-Hx7L18WSc1EEZNUSKZpxghJpaJryDPFpSRZVtSKFiTVPO8ho9laF0KMVa1zDrIulB6nsK5rPkQP57t77346CLHaus7b_mXFcsJYyikTvXo8q9q7EDzoau_NTvpDRUl1Crq6CJr_Ask5cXo</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Liu, Feng</creator><creator>Xu, Qianen</creator><creator>Liu, Yang</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-1187-6388</orcidid></search><sort><creationdate>20211101</creationdate><title>Condition Diagnosis of Long-Span Bridge Pile Foundations Based on the Spatial Correlation of High-Density Strain Measurement Points</title><author>Liu, Feng ; Xu, Qianen ; Liu, Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-49a2f152004ad1be65d3aa0558cd1804f36c29215bf8997dcf63eac8df74ebcc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acoustics</topic><topic>Algorithms</topic><topic>Bridge foundations</topic><topic>Clustering</topic><topic>Density measurement</topic><topic>Earthquakes</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Optical fibers</topic><topic>Pile foundations</topic><topic>Regression analysis</topic><topic>Sensors</topic><topic>Soil conditions</topic><topic>Strain measurement</topic><topic>Sustainability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Feng</creatorcontrib><creatorcontrib>Xu, Qianen</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Feng</au><au>Xu, Qianen</au><au>Liu, Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Condition Diagnosis of Long-Span Bridge Pile Foundations Based on the Spatial Correlation of High-Density Strain Measurement Points</atitle><jtitle>Sustainability</jtitle><date>2021-11-01</date><risdate>2021</risdate><volume>13</volume><issue>22</issue><spage>12498</spage><pages>12498-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Pile foundations of long-span bridges are often deeply buried in soil, and their structural condition is difficult to accurately diagnose by conventional methods. To address this issue, a method for diagnosing the structural condition of bridge pile foundations based on the spatial correlation of high-density strain measurement points is proposed. The strain data of the high-density measurement points of a bridge pile foundation are obtained by using distributed optical fiber sensing technology based on Brillouin scattering, and then an algorithm for diagnosing the structural condition of the pile foundation based on geographically weighted regression analysis is presented. On this basis, aiming at the scour of the pile foundation of long-span bridges, an algorithm for estimating the scour depth of the pile foundation based on sliding plane clustering is proposed. Finally, the effectiveness of the proposed method is verified by numerical simulation and actual bridge data.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su132212498</doi><orcidid>https://orcid.org/0000-0002-1187-6388</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
| subjects | Acoustics Algorithms Bridge foundations Clustering Density measurement Earthquakes Mathematical models Methods Optical fibers Pile foundations Regression analysis Sensors Soil conditions Strain measurement Sustainability |
| title | Condition Diagnosis of Long-Span Bridge Pile Foundations Based on the Spatial Correlation of High-Density Strain Measurement Points |
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