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: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
A review of the main literature sources was conducted, which made it possible to systematise various techniques, methods and software for studying the fracture mechanisms of polycrystalline materials. The principles of describing the patterns of failure surfaces based on multi-scale analysis (at the macro-, meso‑ and microlevels) were considered. Algorithms that recognize and calculate the parameters of fatigue striations on SEM images are analysed. They proved to be functional and capable of providing a valuable information and fractographic control.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11647843 | PMC |
http://dx.doi.org/10.1016/j.mex.2024.102989 | DOI Listing |
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