{"id":27143,"date":"2017-01-20T18:21:35","date_gmt":"2017-01-20T16:21:35","guid":{"rendered":"https:\/\/www.geostru.eu\/ro\/limit-state-liquefaction-c-hsein-juang\/"},"modified":"2017-06-02T17:55:08","modified_gmt":"2017-06-02T15:55:08","slug":"limit-state-liquefaction-c-hsein-juang","status":"publish","type":"post","link":"https:\/\/www.geostru.eu\/ro\/blog\/2017\/01\/20\/limit-state-liquefaction-c-hsein-juang\/","title":{"rendered":"Limit State of Liquefaction C. Hsein Juang 2006"},"content":{"rendered":"<p style=\"text-align: justify;\">The limit state for liquefaction triggering\u00a0is obtained using a neural network-based searching technique developed\u00a0by Juang et al. \u00012000b\u0002. The technique involves the training\u00a0of supervised feed-forward neural networks with the \u201cfull\u201d\u00a0database of case histories and its subsets or samples. The successfully\u00a0trained neural network that generates the most accurate\u00a0input\u2013output relationship is adopted in the subsequent step for\u00a0searching \u201cdata points\u201d on the unknown boundary surface.\u00a0Regression analyses of the searched data points, with some engineering\u00a0judgment, yields the following empirical equation for\u00a0liquefaction resistance:<\/p>\n<p style=\"text-align: center;\">CRR = exp\u0003(-2.8781 + 0.000309\u0001(qc1N,m\u0002)<sup>1.8\u0004 \u00011<\/sup>\u0002) \u00a0 \u00a0<strong>(1)<\/strong><\/p>\n<p style=\"text-align: justify;\">where:<\/p>\n<p>qc1N,m=stress-normalized cone tip resistance qc1N adjusted\u00a0for the effect of \u201cfines\u201d on liquefaction \u0001thus, qc1N,m=K\u00b7qc1N\u0002.<\/p>\n<p>The \u00a0stress-normalized cone tip resistance qc1N used herein follows the\u00a0definition by Idriss and Boulanger \u00012004\u0002, although the difference\u00a0between this definition and that by Robertson and Wride \u00011998\u0002 is\u00a0rather small for the cases examined.<\/p>\n<p style=\"text-align: justify;\">K is part of the regression model and expressed as:<\/p>\n<p style=\"text-align: justify;\">K = 1 for Ic &lt;\u0005 1.64\u0002<strong> (2)<\/strong><br \/>\n=1 + 80.06\u0001(Ic \u2212 1.64\u0002)(\u0001qc1N\u0002)<sup>\u22121.2194<\/sup> for 1.64\u0001 &lt;Ic&lt; \u0001 2.38\u0002<br \/>\n=1 + 59.24\u0001(qc1N\u0002)<sup>\u22121.2194<\/sup> for Ic&gt;\u0002 2.38 \u0002<\/p>\n<p>Both Ic and qc1N in Eqs. \u00012\u0002 are dimensionless. The term Ic in\u00a0Eqs. \u00012\u0002 is a variant of the soil behavior type index defined by\u00a0Lunne et al. \u00011997\u0002 and Robertson and Wride \u00011998\u0002, and updated\u00a0in Zhang et al. \u00012002\u0002. Although Ic was initially developed for soil\u00a0classification, use of Ic to \u201cgage\u201d the effect of \u201cfines\u201d on liquefaction\u00a0resistance is well accepted \u0001Robertson and Wride 1998;\u00a0Youd et al. 2001;<\/p>\n<p style=\"text-align: justify;\">As with any simplified methods that follow the general framework \u00a0by Seed and Idriss \u00011971\u0002, CRR is defined as the critical\u00a0CSR that causes liquefaction for a given soil. Thus, it is essential<br \/>\nthat the CRR equation has to be used along with the reference\u00a0CSR equation. To use Eq. \u00011\u0002 for determination of CRR, the\u00a0following cyclic stress ratio model must be used:<\/p>\n<p style=\"text-align: center;\">CSR7.5\u03c3\u0004 = 0.65\u00b7(\u03c3<sub>v<\/sub>\/\u03c3&#8217;<sub>v<\/sub>)\u00b7(a<sub>max<\/sub>\/g)\u00b7r<sub>d<\/sub>\u00b7(1\/MSF)\u00b7(1\/K<sub>\u03c3<\/sub>) <strong>(3)<\/strong><\/p>\n<p style=\"text-align: justify;\">where:<\/p>\n<p>g=acceleration of gravity, which is the unit for amax;<br \/>\nrd=depth-dependent shear stress reduction factor\u00a0\u0001dimensionless\u0002;<br \/>\nMSF=magnitude scaling factor \u0001dimensionless\u0002;<br \/>\nK<sub>\u03c3<\/sub>\u0004=overburden correction factor \u0001dimensionless\u0002 for CSR.<\/p>\n<p style=\"text-align: justify;\">In Eq. \u00013\u0002, CSR7.5,\u0004 is the CSR defined by Seed and Idriss\u00a0\u00011971\u0002 adjusted to the conditions of Mw \u0001moment magnitude\u0002=7.5\u00a0and \u03c3\u0004=100 kPa. Such adjustment makes it easier to process case\u00a0histories from different earthquakes and with soils of concern at\u00a0different overburden pressures \u0001Juang et al. 2003\u0002. It should be\u00a0noted that in this paper, the terms rd, MSF, and K<sub>\u03c3<\/sub> are calculated\u00a0with the formulae recommended by Idriss and \u00a0Boulanger \u00012004\u0002;<\/p>\n<p style=\"text-align: justify;\">The method C. Hsein Juang was implemented in software <strong>LIQUITER<\/strong><\/p>\n<p style=\"text-align: justify;\"><a href=\"http:\/\/ascelibrary.org\/doi\/pdf\/10.1061\/(ASCE)1090-0241(2006)132%3A3(337)\">More details<\/a><\/p>\n<p style=\"text-align: justify;\">\n","protected":false},"excerpt":{"rendered":"<p>The limit state for liquefaction triggering\u00a0is obtained using a neural network-based searching technique developed\u00a0by Juang et al. \u00012000b\u0002. The technique involves the training\u00a0of supervised feed-forward neural networks with the \u201cfull\u201d\u00a0database of case histories and its subsets or samples. The successfully\u00a0trained neural network that generates the most accurate\u00a0input\u2013output relationship is adopted in the subsequent step for\u00a0searching&hellip;<\/p>\n","protected":false},"author":216,"featured_media":21119,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[592,591,589,644],"tags":[702],"class_list":["post-27143","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articole-geotehnic","category-articole-pentru-geologie","category-inginerie-civila","category-news-ro","tag-limit-state-of-liquefaction-c-hsein-juang-2006-ro","category-592","category-591","category-589","category-644","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.0 (Yoast SEO v25.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Limit State of Liquefaction C. Hsein Juang 2006 - GeoStru EU<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.geostru.eu\/ro\/blog\/2017\/01\/20\/limit-state-liquefaction-c-hsein-juang\/\" \/>\n<meta property=\"og:locale\" content=\"ro_RO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Limit State of Liquefaction C. Hsein Juang 2006\" \/>\n<meta property=\"og:description\" content=\"The limit state for liquefaction triggering\u00a0is obtained using a neural network-based searching technique developed\u00a0by Juang et al. \u00012000b\u0002. The technique involves the training\u00a0of supervised feed-forward neural networks with the \u201cfull\u201d\u00a0database of case histories and its subsets or samples. The successfully\u00a0trained neural network that generates the most accurate\u00a0input\u2013output relationship is adopted in the subsequent step for\u00a0searching&hellip;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.geostru.eu\/ro\/blog\/2017\/01\/20\/limit-state-liquefaction-c-hsein-juang\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoStru EU\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/GeoStruSoftware\/\" \/>\n<meta property=\"article:published_time\" content=\"2017-01-20T16:21:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-06-02T15:55:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.geostru.eu\/wp-content\/uploads\/2016\/03\/emilia_san_carlo_liquefazione.png\" \/>\n\t<meta property=\"og:image:width\" content=\"833\" \/>\n\t<meta property=\"og:image:height\" content=\"627\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"filippo catanzariti\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@geostru\" \/>\n<meta name=\"twitter:site\" content=\"@geostru\" \/>\n<meta name=\"twitter:label1\" content=\"Scris de\" \/>\n\t<meta name=\"twitter:data1\" content=\"filippo catanzariti\" \/>\n\t<meta name=\"twitter:label2\" content=\"Timp estimat pentru citire\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.geostru.eu\/ro\/blog\/2017\/01\/20\/limit-state-liquefaction-c-hsein-juang\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.geostru.eu\/ro\/blog\/2017\/01\/20\/limit-state-liquefaction-c-hsein-juang\/\"},\"author\":{\"name\":\"filippo catanzariti\",\"@id\":\"https:\/\/www.geostru.eu\/ro\/#\/schema\/person\/a77057583cda5367a251627a9b171ddd\"},\"headline\":\"Limit State of Liquefaction C. 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He graduated in civil engineering at the University of Calabria (UNICAL) with a thesis entitled \\\"Programma di calcolo per l\u2019analisi della stabilit\u00e0 dei pendii con metodi numerici avanzati\u201d (Calculation program for the analysis of slope stability with advanced numerical methods). From 1996-1999 he worked as an analyst and software developer specialized in algorithms and development in the main programming languages: pascal, vb, fortran, visual c ++ and in the web full stack developer. In 1999 he founded Geostru, the well-known international software company, for which he produced hundreds of software and sophisticated analysis algorithms. Maturing experience in: advanced mathematical models 2D \/ 3D and graphics programming with OpenGL and DirectX. Between 2000-2014 he was co-supervisor of numerous degree theses and author of technical articles published by Ingenium Edizioni. Between 2014-2019 he published articles in international technical journals and coordinated important university research projects. Since 2014 he is a member of: AGI, ISRM, ISSMGE, AGI-IGS and certificate of AGS (Association of Geotechnical &amp; Geoenvironmental Specialists). Since 2016 he works as analyst, software developer, consultant for insourcing (SC ENGSOFT) and outsourcig activities for important international companies, in the European Silicon Valley, Cluj Napoca.\",\"sameAs\":[\"http:\/\/www.geostru.eu\"],\"url\":\"https:\/\/www.geostru.eu\/ro\/blog\/author\/filippo-catanzariti\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Limit State of Liquefaction C. 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He graduated in civil engineering at the University of Calabria (UNICAL) with a thesis entitled \"Programma di calcolo per l\u2019analisi della stabilit\u00e0 dei pendii con metodi numerici avanzati\u201d (Calculation program for the analysis of slope stability with advanced numerical methods). From 1996-1999 he worked as an analyst and software developer specialized in algorithms and development in the main programming languages: pascal, vb, fortran, visual c ++ and in the web full stack developer. In 1999 he founded Geostru, the well-known international software company, for which he produced hundreds of software and sophisticated analysis algorithms. Maturing experience in: advanced mathematical models 2D \/ 3D and graphics programming with OpenGL and DirectX. Between 2000-2014 he was co-supervisor of numerous degree theses and author of technical articles published by Ingenium Edizioni. Between 2014-2019 he published articles in international technical journals and coordinated important university research projects. Since 2014 he is a member of: AGI, ISRM, ISSMGE, AGI-IGS and certificate of AGS (Association of Geotechnical &amp; Geoenvironmental Specialists). Since 2016 he works as analyst, software developer, consultant for insourcing (SC ENGSOFT) and outsourcig activities for important international companies, in the European Silicon Valley, Cluj Napoca.","sameAs":["http:\/\/www.geostru.eu"],"url":"https:\/\/www.geostru.eu\/ro\/blog\/author\/filippo-catanzariti\/"}]}},"_links":{"self":[{"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/posts\/27143"}],"collection":[{"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/users\/216"}],"replies":[{"embeddable":true,"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/comments?post=27143"}],"version-history":[{"count":0,"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/posts\/27143\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/media\/21119"}],"wp:attachment":[{"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/media?parent=27143"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/categories?post=27143"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.geostru.eu\/ro\/wp-json\/wp\/v2\/tags?post=27143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}