An empirical model for the mean period (Tm) of ground motions using the NGA-West2 database
Frequency content is an important characteristic of earthquake shakings. The mean period (T m ) of a ground motion has been regarded as the preferred frequency content parameter. In this paper, a new predictive model for T m is developed based on the horizontal components of ground motions selected...
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| Veröffentlicht in: | Bulletin of earthquake engineering 2017-07, Vol.15 (7), p.2673-2693 |
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| creator | Du, Wenqi |
| description | Frequency content is an important characteristic of earthquake shakings. The mean period (T
m
) of a ground motion has been regarded as the preferred frequency content parameter. In this paper, a new predictive model for T
m
is developed based on the horizontal components of ground motions selected from the expanded NGA-West2 database. The new model includes a piece-wise linear moment magnitude (M
w
) term with a breaking M
w
value as 5 and a cutoff value as 7.3, which is adopted based on the distribution of empirical data as well as physical considerations. A trilinear rupture distance term with breaking points at 100 km and 200 km is also adopted in the model. The average shear wave velocity at top 30 meters (V
s30
) and a basin depth parameter (Z
1
) are used to represent the effect of local site conditions on T
m
. A forward directivity term that takes effect at rupture distances within 40 km is included in the functional form. Besides, we derive a magnitude-dependent aleatory variability model to capture the varying within-event standard deviations versus M
w
. The proposed model can be used to estimate T
m
for earthquake scenarios with magnitudes in the range of 3–7.9 and rupture distance up to 300 km. |
| doi_str_mv | 10.1007/s10518-017-0088-8 |
| format | Article |
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m
) of a ground motion has been regarded as the preferred frequency content parameter. In this paper, a new predictive model for T
m
is developed based on the horizontal components of ground motions selected from the expanded NGA-West2 database. The new model includes a piece-wise linear moment magnitude (M
w
) term with a breaking M
w
value as 5 and a cutoff value as 7.3, which is adopted based on the distribution of empirical data as well as physical considerations. A trilinear rupture distance term with breaking points at 100 km and 200 km is also adopted in the model. The average shear wave velocity at top 30 meters (V
s30
) and a basin depth parameter (Z
1
) are used to represent the effect of local site conditions on T
m
. A forward directivity term that takes effect at rupture distances within 40 km is included in the functional form. Besides, we derive a magnitude-dependent aleatory variability model to capture the varying within-event standard deviations versus M
w
. The proposed model can be used to estimate T
m
for earthquake scenarios with magnitudes in the range of 3–7.9 and rupture distance up to 300 km.</description><identifier>ISSN: 1570-761X</identifier><identifier>EISSN: 1573-1456</identifier><identifier>DOI: 10.1007/s10518-017-0088-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Civil Engineering ; Cut-off ; Directivity ; Distance ; Earth and Environmental Science ; Earth Sciences ; Earthquakes ; Empirical models ; Environmental Engineering/Biotechnology ; Functional anatomy ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Ground motion ; Hydrogeology ; Mathematical models ; Measuring instruments ; Original Research Paper ; Prediction models ; Rupture ; Rupturing ; S waves ; Seismic activity ; Seismic engineering ; Seismic velocities ; Shear wave velocities ; Structural Geology ; Wave velocity</subject><ispartof>Bulletin of earthquake engineering, 2017-07, Vol.15 (7), p.2673-2693</ispartof><rights>Springer Science+Business Media Dordrecht 2017</rights><rights>Bulletin of Earthquake Engineering is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a339t-1e6fa438ee2e7caf5214fd458509c4e0f1bac98cb3b6054af49bb5279caeea8a3</citedby><cites>FETCH-LOGICAL-a339t-1e6fa438ee2e7caf5214fd458509c4e0f1bac98cb3b6054af49bb5279caeea8a3</cites><orcidid>0000-0002-4392-6255</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10518-017-0088-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10518-017-0088-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Du, Wenqi</creatorcontrib><title>An empirical model for the mean period (Tm) of ground motions using the NGA-West2 database</title><title>Bulletin of earthquake engineering</title><addtitle>Bull Earthquake Eng</addtitle><description>Frequency content is an important characteristic of earthquake shakings. The mean period (T
m
) of a ground motion has been regarded as the preferred frequency content parameter. In this paper, a new predictive model for T
m
is developed based on the horizontal components of ground motions selected from the expanded NGA-West2 database. The new model includes a piece-wise linear moment magnitude (M
w
) term with a breaking M
w
value as 5 and a cutoff value as 7.3, which is adopted based on the distribution of empirical data as well as physical considerations. A trilinear rupture distance term with breaking points at 100 km and 200 km is also adopted in the model. The average shear wave velocity at top 30 meters (V
s30
) and a basin depth parameter (Z
1
) are used to represent the effect of local site conditions on T
m
. A forward directivity term that takes effect at rupture distances within 40 km is included in the functional form. Besides, we derive a magnitude-dependent aleatory variability model to capture the varying within-event standard deviations versus M
w
. The proposed model can be used to estimate T
m
for earthquake scenarios with magnitudes in the range of 3–7.9 and rupture distance up to 300 km.</description><subject>Civil Engineering</subject><subject>Cut-off</subject><subject>Directivity</subject><subject>Distance</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earthquakes</subject><subject>Empirical models</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Functional anatomy</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Ground motion</subject><subject>Hydrogeology</subject><subject>Mathematical models</subject><subject>Measuring instruments</subject><subject>Original Research Paper</subject><subject>Prediction models</subject><subject>Rupture</subject><subject>Rupturing</subject><subject>S waves</subject><subject>Seismic activity</subject><subject>Seismic engineering</subject><subject>Seismic velocities</subject><subject>Shear wave velocities</subject><subject>Structural Geology</subject><subject>Wave velocity</subject><issn>1570-761X</issn><issn>1573-1456</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kLFOwzAQhi0EEqXwAGyWWGAwnJM4tseqgoJUwVIEYrGc5FxSNXGwk4G3J20ZWJjuhu__7_QRcsnhlgPIu8hBcMWASwagFFNHZMKFTBnPRH6834HJnL-fkrMYNwCJkBom5GPWUmy6OtSl3dLGV7ilzgfafyJt0La0w1D7il6vmhvqHV0HP7TVCPa1byMdYt2u9_DzYsbeMPYJrWxvCxvxnJw4u4148Tun5PXhfjV_ZMuXxdN8tmQ2TXXPOObOZqlCTFCW1omEZ67KhBKgywzB8cKWWpVFWuQgMusyXRQikbq0iFbZdEquDr1d8F_D-ILZ-CG040nDNeSKJ1rCSPEDVQYfY0BnulA3NnwbDman0BwUmlGh2Sk0aswkh0wc2XaN4U_zv6EfHOhziA</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Du, Wenqi</creator><general>Springer 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model for the mean period (Tm) of ground motions using the NGA-West2 database</title><author>Du, Wenqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a339t-1e6fa438ee2e7caf5214fd458509c4e0f1bac98cb3b6054af49bb5279caeea8a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Civil Engineering</topic><topic>Cut-off</topic><topic>Directivity</topic><topic>Distance</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earthquakes</topic><topic>Empirical models</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Functional anatomy</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Ground motion</topic><topic>Hydrogeology</topic><topic>Mathematical models</topic><topic>Measuring instruments</topic><topic>Original Research Paper</topic><topic>Prediction models</topic><topic>Rupture</topic><topic>Rupturing</topic><topic>S waves</topic><topic>Seismic activity</topic><topic>Seismic engineering</topic><topic>Seismic velocities</topic><topic>Shear wave velocities</topic><topic>Structural Geology</topic><topic>Wave velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Wenqi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central 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engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Wenqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An empirical model for the mean period (Tm) of ground motions using the NGA-West2 database</atitle><jtitle>Bulletin of earthquake engineering</jtitle><stitle>Bull Earthquake Eng</stitle><date>2017-07-01</date><risdate>2017</risdate><volume>15</volume><issue>7</issue><spage>2673</spage><epage>2693</epage><pages>2673-2693</pages><issn>1570-761X</issn><eissn>1573-1456</eissn><abstract>Frequency content is an important characteristic of earthquake shakings. The mean period (T
m
) of a ground motion has been regarded as the preferred frequency content parameter. In this paper, a new predictive model for T
m
is developed based on the horizontal components of ground motions selected from the expanded NGA-West2 database. The new model includes a piece-wise linear moment magnitude (M
w
) term with a breaking M
w
value as 5 and a cutoff value as 7.3, which is adopted based on the distribution of empirical data as well as physical considerations. A trilinear rupture distance term with breaking points at 100 km and 200 km is also adopted in the model. The average shear wave velocity at top 30 meters (V
s30
) and a basin depth parameter (Z
1
) are used to represent the effect of local site conditions on T
m
. A forward directivity term that takes effect at rupture distances within 40 km is included in the functional form. Besides, we derive a magnitude-dependent aleatory variability model to capture the varying within-event standard deviations versus M
w
. The proposed model can be used to estimate T
m
for earthquake scenarios with magnitudes in the range of 3–7.9 and rupture distance up to 300 km.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10518-017-0088-8</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-4392-6255</orcidid></addata></record> |
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| issn | 1570-761X 1573-1456 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Civil Engineering Cut-off Directivity Distance Earth and Environmental Science Earth Sciences Earthquakes Empirical models Environmental Engineering/Biotechnology Functional anatomy Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Ground motion Hydrogeology Mathematical models Measuring instruments Original Research Paper Prediction models Rupture Rupturing S waves Seismic activity Seismic engineering Seismic velocities Shear wave velocities Structural Geology Wave velocity |
| title | An empirical model for the mean period (Tm) of ground motions using the NGA-West2 database |
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