Modeling pitch trajectories in fastpitch softball
The fourth-order Runge–Kutta method is used to numerically integrate the equations of motion for a fastpitch softball pitch and to create a model from which the trajectories of drop balls, rise balls and curve balls can be computed and displayed. By requiring these pitches to pass through the strike...
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Veröffentlicht in: | Sports engineering 2015-09, Vol.18 (3), p.157-164 |
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description | The fourth-order Runge–Kutta method is used to numerically integrate the equations of motion for a fastpitch softball pitch and to create a model from which the trajectories of drop balls, rise balls and curve balls can be computed and displayed. By requiring these pitches to pass through the strike zone, and by assuming specific values for the initial speed, launch angle and height of each pitch, an upper limit on the lift coefficient can be predicted which agrees with experimental data. This approach also predicts the launch angles necessary to put rise balls, drop balls and curve balls in the strike zone, as well as a value of the drag coefficient that agrees with experimental data. Finally, Adair’s analysis of a batter’s swing is used to compare pitches that look similar to a batter starting her swing, yet which diverge before reaching the home plate, to predict when she is likely to miss or foul the ball. |
doi_str_mv | 10.1007/s12283-015-0176-4 |
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By requiring these pitches to pass through the strike zone, and by assuming specific values for the initial speed, launch angle and height of each pitch, an upper limit on the lift coefficient can be predicted which agrees with experimental data. This approach also predicts the launch angles necessary to put rise balls, drop balls and curve balls in the strike zone, as well as a value of the drag coefficient that agrees with experimental data. Finally, Adair’s analysis of a batter’s swing is used to compare pitches that look similar to a batter starting her swing, yet which diverge before reaching the home plate, to predict when she is likely to miss or foul the ball.</description><identifier>ISSN: 1369-7072</identifier><identifier>EISSN: 1460-2687</identifier><identifier>DOI: 10.1007/s12283-015-0176-4</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Biomedical Engineering and Bioengineering ; Drag coefficients ; Engineering ; Engineering Design ; Equations of motion ; Launches ; Materials Science ; Mathematical models ; Original Article ; Rehabilitation Medicine ; Runge-Kutta method ; Sports Medicine ; Strikes ; Swing ; Theoretical and Applied Mechanics ; Trajectories</subject><ispartof>Sports engineering, 2015-09, Vol.18 (3), p.157-164</ispartof><rights>International Sports Engineering Association 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-2a1f643b17f06b1a2cabe2a6bb404aa80d925ccff575266eba58d01300c51ea03</citedby><cites>FETCH-LOGICAL-c424t-2a1f643b17f06b1a2cabe2a6bb404aa80d925ccff575266eba58d01300c51ea03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12283-015-0176-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12283-015-0176-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Clark, Jean M.</creatorcontrib><creatorcontrib>Greer, Meredith L.</creatorcontrib><creatorcontrib>Semon, Mark D.</creatorcontrib><title>Modeling pitch trajectories in fastpitch softball</title><title>Sports engineering</title><addtitle>Sports Eng</addtitle><description>The fourth-order Runge–Kutta method is used to numerically integrate the equations of motion for a fastpitch softball pitch and to create a model from which the trajectories of drop balls, rise balls and curve balls can be computed and displayed. 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Finally, Adair’s analysis of a batter’s swing is used to compare pitches that look similar to a batter starting her swing, yet which diverge before reaching the home plate, to predict when she is likely to miss or foul the ball.</description><subject>Biomedical Engineering and Bioengineering</subject><subject>Drag coefficients</subject><subject>Engineering</subject><subject>Engineering Design</subject><subject>Equations of motion</subject><subject>Launches</subject><subject>Materials Science</subject><subject>Mathematical models</subject><subject>Original Article</subject><subject>Rehabilitation Medicine</subject><subject>Runge-Kutta method</subject><subject>Sports Medicine</subject><subject>Strikes</subject><subject>Swing</subject><subject>Theoretical and Applied Mechanics</subject><subject>Trajectories</subject><issn>1369-7072</issn><issn>1460-2687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkE1PAyEQhonRxFr9Ad726AWdARa2R9P4ldR40TMBCnWb7VKBHvz30qxn44EMyTzvTOYh5BrhFgHUXUbGOk4B2_qUpOKEzFBIoEx26rT-uVxQBYqdk4uctwAoseMzgq9x7Yd-3DT7vrjPpiSz9a7E1Pvc9GMTTC5TJ8dQrBmGS3IWzJD91W-dk4_Hh_flM129Pb0s71fUCSYKZQaDFNyiCiAtGuaM9cxIawUIYzpYL1jrXAitapmU3pq2WwNyANeiN8Dn5Gaau0_x6-Bz0bs-Oz8MZvTxkDUqIRSiEPwfKLK6RqKqKE6oSzHn5IPep35n0rdG0EeTejKpq0l9NKlFzbApkys7bnzS23hIYz3-j9APQ6t1NQ</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Clark, Jean M.</creator><creator>Greer, Meredith L.</creator><creator>Semon, Mark D.</creator><general>Springer London</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20150901</creationdate><title>Modeling pitch trajectories in fastpitch softball</title><author>Clark, Jean M. ; Greer, Meredith L. ; Semon, Mark D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-2a1f643b17f06b1a2cabe2a6bb404aa80d925ccff575266eba58d01300c51ea03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Biomedical Engineering and Bioengineering</topic><topic>Drag coefficients</topic><topic>Engineering</topic><topic>Engineering Design</topic><topic>Equations of motion</topic><topic>Launches</topic><topic>Materials Science</topic><topic>Mathematical models</topic><topic>Original Article</topic><topic>Rehabilitation Medicine</topic><topic>Runge-Kutta method</topic><topic>Sports Medicine</topic><topic>Strikes</topic><topic>Swing</topic><topic>Theoretical and Applied Mechanics</topic><topic>Trajectories</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clark, Jean M.</creatorcontrib><creatorcontrib>Greer, Meredith L.</creatorcontrib><creatorcontrib>Semon, Mark D.</creatorcontrib><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Sports engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clark, Jean M.</au><au>Greer, Meredith L.</au><au>Semon, Mark D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling pitch trajectories in fastpitch softball</atitle><jtitle>Sports engineering</jtitle><stitle>Sports Eng</stitle><date>2015-09-01</date><risdate>2015</risdate><volume>18</volume><issue>3</issue><spage>157</spage><epage>164</epage><pages>157-164</pages><issn>1369-7072</issn><eissn>1460-2687</eissn><abstract>The fourth-order Runge–Kutta method is used to numerically integrate the equations of motion for a fastpitch softball pitch and to create a model from which the trajectories of drop balls, rise balls and curve balls can be computed and displayed. By requiring these pitches to pass through the strike zone, and by assuming specific values for the initial speed, launch angle and height of each pitch, an upper limit on the lift coefficient can be predicted which agrees with experimental data. This approach also predicts the launch angles necessary to put rise balls, drop balls and curve balls in the strike zone, as well as a value of the drag coefficient that agrees with experimental data. Finally, Adair’s analysis of a batter’s swing is used to compare pitches that look similar to a batter starting her swing, yet which diverge before reaching the home plate, to predict when she is likely to miss or foul the ball.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s12283-015-0176-4</doi><tpages>8</tpages></addata></record> |
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subjects | Biomedical Engineering and Bioengineering Drag coefficients Engineering Engineering Design Equations of motion Launches Materials Science Mathematical models Original Article Rehabilitation Medicine Runge-Kutta method Sports Medicine Strikes Swing Theoretical and Applied Mechanics Trajectories |
title | Modeling pitch trajectories in fastpitch softball |
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