https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Bakala_et_al_2021aBakala et al 2021a - Revision history2026-04-30T20:41:30ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Bakala_et_al_2021a&diff=222511&oldid=prevQzone 1968: Qzone 1968 moved page Draft Quezon 491911269 to Bakala et al 2021a2021-03-24T16:45:05Z<p>Qzone 1968 moved page <a href="/public/Draft_Quezon_491911269" class="mw-redirect" title="Draft Quezon 491911269">Draft Quezon 491911269</a> to <a href="/public/Bakala_et_al_2021a" title="Bakala et al 2021a">Bakala et al 2021a</a></p>
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</td></tr></table>Qzone 1968https://www.scipedia.com/wd/index.php?title=Bakala_et_al_2021a&diff=222510&oldid=prevQzone 1968: Created page with " == Abstract == Shear strength is the essential engineering property of soil required to analyze and design foundations, retaining walls, bridges, embankment, and related inf..."2021-03-24T16:45:03Z<p>Created page with " == Abstract == Shear strength is the essential engineering property of soil required to analyze and design foundations, retaining walls, bridges, embankment, and related inf..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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Shear strength is the essential engineering property of soil required to analyze and design foundations, retaining walls, bridges, embankment, and related infrastructure. The laboratory equipment and field instruments are not sufficient in developing countries to obtain soil engineering properties, especially strength properties. Thus, Geotechnical engineers usually endeavor to develop statistical models that best fit a particular area and soil type, especially for analysis and design purposes. In this research, a Statistical Analysis on the Shear Strength parameter from the Index Properties of Fine-Grained Soils was studied. For predicting the undrained shear strength parameter, single linear regression (SLR) and multiple linear regressions (MLR) analyses were developed. To develop the intended statistical models for a study, SAS JMP Pro 13, SPSS v22, and Microsoft Excel-2013 software were introduced. The results of a study indicated that undrained shear strength(Cu) was significantly correlated with liquid limit(LL), plastic limit(PL), bulk density (ρ<br />
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== Full document ==<br />
<pdf>Media:Draft_Quezon_491911269-4954-document.pdf</pdf></div>Qzone 1968