Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior
Tensile tests of miniature spruce wood specimens have been performed to investigate the damage evolution in wood at the microscopic scale. For this purpose, the samples were stepwise tensile loaded in the longitudinal (L) and radial (R) directions and the damage evolution was monitored in real-time...
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description | Tensile tests of miniature spruce wood specimens have been performed to investigate the damage evolution in wood at the microscopic scale. For this purpose, the samples were stepwise tensile loaded in the longitudinal (L) and radial (R) directions and the damage evolution was monitored in real-time by acoustic emission (AE) and synchrotron radiation micro-computed tomography (SRμCT). This combination is of outstanding benefit as SRμCT monitoring provides an insight on the crack evolution and the final fracture at microscopic scale, whereas AE permits the detection of the associated accumulation and interaction of single damage events on all length scales with high time resolution. A significant drawback of the AE testing of wood has been overcome by means of calibrating the AE amplitudes with the underlying crack length development. Thus, a setup-dependent and wood species-dependent calibration value was estimated, which associates 1 μm
crack area generating of 0.0038 mV in the detected AE amplitude. Furthermore, for both L and R specimens, AE signals were classified into two clusters by using a frequency-based approach of unsupervised pattern recognition. The shares of AE signals of both clusters correlate with the ratio of the relative crack area of the interwall and transwall cracks gained from the fractographic analysis of SRμCT scans. |
doi_str_mv | 10.1515/hf-2014-0152 |
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crack area generating of 0.0038 mV in the detected AE amplitude. Furthermore, for both L and R specimens, AE signals were classified into two clusters by using a frequency-based approach of unsupervised pattern recognition. The shares of AE signals of both clusters correlate with the ratio of the relative crack area of the interwall and transwall cracks gained from the fractographic analysis of SRμCT scans.</description><identifier>ISSN: 0018-3830</identifier><identifier>EISSN: 1437-434X</identifier><identifier>DOI: 10.1515/hf-2014-0152</identifier><language>eng</language><publisher>Berlin: De Gruyter</publisher><subject>acoustic emission (AE) ; Alloys ; damage evolution ; Evolution ; monitoring ; spruce ; synchrotron radiation micro-computed tomography (SRμCT) ; tensile test ; Tomography ; unsupervised pattern recognition (UPR)</subject><ispartof>Holzforschung, 2015-10, Vol.69 (8), p.1015-1025</ispartof><rights>Copyright Walter de Gruyter GmbH Oct 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-ef31c905cb1d3311ab3a1f36bcba63aad534d2e3d55360259f1b2dfb1ef6d0103</citedby><cites>FETCH-LOGICAL-c353t-ef31c905cb1d3311ab3a1f36bcba63aad534d2e3d55360259f1b2dfb1ef6d0103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/hf-2014-0152/pdf$$EPDF$$P50$$Gwalterdegruyter$$H</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/hf-2014-0152/html$$EHTML$$P50$$Gwalterdegruyter$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,66497,68281</link.rule.ids></links><search><creatorcontrib>Baensch, Franziska</creatorcontrib><creatorcontrib>Zauner, Michaela</creatorcontrib><creatorcontrib>Sanabria, Sergio J.</creatorcontrib><creatorcontrib>Sause, Markus G.R.</creatorcontrib><creatorcontrib>Pinzer, Bernd R.</creatorcontrib><creatorcontrib>Brunner, Andreas J.</creatorcontrib><creatorcontrib>Stampanoni, Marco</creatorcontrib><creatorcontrib>Niemz, Peter</creatorcontrib><title>Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior</title><title>Holzforschung</title><description>Tensile tests of miniature spruce wood specimens have been performed to investigate the damage evolution in wood at the microscopic scale. For this purpose, the samples were stepwise tensile loaded in the longitudinal (L) and radial (R) directions and the damage evolution was monitored in real-time by acoustic emission (AE) and synchrotron radiation micro-computed tomography (SRμCT). This combination is of outstanding benefit as SRμCT monitoring provides an insight on the crack evolution and the final fracture at microscopic scale, whereas AE permits the detection of the associated accumulation and interaction of single damage events on all length scales with high time resolution. A significant drawback of the AE testing of wood has been overcome by means of calibrating the AE amplitudes with the underlying crack length development. Thus, a setup-dependent and wood species-dependent calibration value was estimated, which associates 1 μm
crack area generating of 0.0038 mV in the detected AE amplitude. Furthermore, for both L and R specimens, AE signals were classified into two clusters by using a frequency-based approach of unsupervised pattern recognition. The shares of AE signals of both clusters correlate with the ratio of the relative crack area of the interwall and transwall cracks gained from the fractographic analysis of SRμCT scans.</description><subject>acoustic emission (AE)</subject><subject>Alloys</subject><subject>damage evolution</subject><subject>Evolution</subject><subject>monitoring</subject><subject>spruce</subject><subject>synchrotron radiation micro-computed tomography (SRμCT)</subject><subject>tensile test</subject><subject>Tomography</subject><subject>unsupervised pattern recognition (UPR)</subject><issn>0018-3830</issn><issn>1437-434X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNptkM1O3DAUhS1UpE6huz6AJTYgEfDNjTMZukJT_iQkpJZK3UWOfyZGSZzaDmiepa_SZ-gz1WG66ILVsa8_n6tzCPkE7Aw48PPWZDmDImPA8z2ygAKXWYHFj3dkwRhUGVbI3pMPITylK2cIC_Lri-jFRlP97LopWjdQO9AX59QFDdtBtt5Fn4ZeKCten3srvcuk68cpakWj693Gi7Hd0uNvX__8Xj-eUBGooDPR6V4PUfhtwlxHjfPJPWo_eh3tsKFCuilEK6nubQiz-_Hl1QltdCuerfOHZN-ILuiP__SAfL--elzfZvcPN3fry_tMIseYaYMgV4zLBhQigGhQgMGykY0oUQjFsVC5RsU5liznKwNNrkwD2pSKAcMDcrTzHb37OekQ6yc3-SGtrGEJy7zkVVUl6nRHpfwheG3q0ds-hauB1XP9dWvquf56rj_hn3f4i-hSZKU3ftqmw3_eb3wrVxUkxb8BqY85</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Baensch, Franziska</creator><creator>Zauner, Michaela</creator><creator>Sanabria, Sergio J.</creator><creator>Sause, Markus G.R.</creator><creator>Pinzer, Bernd R.</creator><creator>Brunner, Andreas J.</creator><creator>Stampanoni, Marco</creator><creator>Niemz, Peter</creator><general>De Gruyter</general><general>Walter de Gruyter GmbH</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20151001</creationdate><title>Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior</title><author>Baensch, Franziska ; Zauner, Michaela ; Sanabria, Sergio J. ; Sause, Markus G.R. ; Pinzer, Bernd R. ; Brunner, Andreas J. ; Stampanoni, Marco ; Niemz, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-ef31c905cb1d3311ab3a1f36bcba63aad534d2e3d55360259f1b2dfb1ef6d0103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>acoustic emission (AE)</topic><topic>Alloys</topic><topic>damage evolution</topic><topic>Evolution</topic><topic>monitoring</topic><topic>spruce</topic><topic>synchrotron radiation micro-computed tomography (SRμCT)</topic><topic>tensile test</topic><topic>Tomography</topic><topic>unsupervised pattern recognition (UPR)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baensch, Franziska</creatorcontrib><creatorcontrib>Zauner, Michaela</creatorcontrib><creatorcontrib>Sanabria, Sergio J.</creatorcontrib><creatorcontrib>Sause, Markus G.R.</creatorcontrib><creatorcontrib>Pinzer, Bernd R.</creatorcontrib><creatorcontrib>Brunner, Andreas J.</creatorcontrib><creatorcontrib>Stampanoni, Marco</creatorcontrib><creatorcontrib>Niemz, Peter</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Holzforschung</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baensch, Franziska</au><au>Zauner, Michaela</au><au>Sanabria, Sergio J.</au><au>Sause, Markus G.R.</au><au>Pinzer, Bernd R.</au><au>Brunner, Andreas J.</au><au>Stampanoni, Marco</au><au>Niemz, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior</atitle><jtitle>Holzforschung</jtitle><date>2015-10-01</date><risdate>2015</risdate><volume>69</volume><issue>8</issue><spage>1015</spage><epage>1025</epage><pages>1015-1025</pages><issn>0018-3830</issn><eissn>1437-434X</eissn><abstract>Tensile tests of miniature spruce wood specimens have been performed to investigate the damage evolution in wood at the microscopic scale. For this purpose, the samples were stepwise tensile loaded in the longitudinal (L) and radial (R) directions and the damage evolution was monitored in real-time by acoustic emission (AE) and synchrotron radiation micro-computed tomography (SRμCT). This combination is of outstanding benefit as SRμCT monitoring provides an insight on the crack evolution and the final fracture at microscopic scale, whereas AE permits the detection of the associated accumulation and interaction of single damage events on all length scales with high time resolution. A significant drawback of the AE testing of wood has been overcome by means of calibrating the AE amplitudes with the underlying crack length development. Thus, a setup-dependent and wood species-dependent calibration value was estimated, which associates 1 μm
crack area generating of 0.0038 mV in the detected AE amplitude. Furthermore, for both L and R specimens, AE signals were classified into two clusters by using a frequency-based approach of unsupervised pattern recognition. The shares of AE signals of both clusters correlate with the ratio of the relative crack area of the interwall and transwall cracks gained from the fractographic analysis of SRμCT scans.</abstract><cop>Berlin</cop><pub>De Gruyter</pub><doi>10.1515/hf-2014-0152</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | acoustic emission (AE) Alloys damage evolution Evolution monitoring spruce synchrotron radiation micro-computed tomography (SRμCT) tensile test Tomography unsupervised pattern recognition (UPR) |
title | Damage evolution in wood: synchrotron radiation micro-computed tomography (SRμCT) as a complementary tool for interpreting acoustic emission (AE) behavior |
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