Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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After extracting the longitudinal seam (LS) LiDAR detected data inside shield tunnel, although most can be obtained, some are obscured by tunnel objects and scanning limitations . Additionally, some segment point clouds are misidentified as seams, leading to extraction inaccuracies. Therefore, this study proposes an inference method based on geometric information to identify the extracted LS point clouds to estimate the longitudinal seams' locations that could not be extracted. Moreover, this method is applied for validation in a section of the Luoyang Subway Line 2 tunnel [1]. Developed an inference method based on geometric information for shield tunnel; Application of proposed method to identify the locations longitudinal seams; The proposed method is validated in a section of the Luoyang Subway Line 2 tunnel.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344189 | PMC |
http://dx.doi.org/10.1016/j.mex.2025.103541 | DOI Listing |