Modeling instruction in an environmental geotechnics course

Pantazidou, M; Steif, PS

dc.contributor.author	Pantazidou, M	en
dc.contributor.author	Steif, PS	en
dc.date.accessioned	2014-03-01T02:51:45Z
dc.date.available	2014-03-01T02:51:45Z
dc.date.issued	2008	en
dc.identifier.issn	08950563	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35622
dc.subject.other	Analytical solutions	en
dc.subject.other	Engineering tasks	en
dc.subject.other	Exam questions	en
dc.subject.other	Explicit modeling	en
dc.subject.other	Geotechnics	en
dc.subject.other	Governing equations	en
dc.subject.other	Instructional materials	en
dc.subject.other	Learning outcome	en
dc.subject.other	Modeling process	en
dc.subject.other	Numerical solution	en
dc.subject.other	Physical systems	en
dc.subject.other	Work-in-progress	en
dc.subject.other	Education	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Models	en
dc.title	Modeling instruction in an environmental geotechnics course	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1061/40971(310)99	en
heal.identifier.secondary	http://dx.doi.org/10.1061/40971(310)99	en
heal.publicationDate	2008	en
heal.abstract	Although modeling of physical systems is a key engineering task, the educational literature provides little guidance on how to systematically include modeling exercises in instruction. To this end, this paper presents work-in-progress involving the introduction of a framework of modeling in an environmental geotechnics course. The framework unpacks the components of the modeling process, placing particular emphasis on the simplifications made when considering relevant phenomena, determining parameters and variables, specifying geometry and boundary conditions, selecting and solving governing equations. Explicit modeling instruction required modification of learning outcomes and corresponding revisions of instructional material, example problems and exam questions. The development of a larger-scale term project is underway, designed so that students gain confidence when selecting different levels of approximations, through comparisons of numerical solutions at different degrees of idealization with simplified analytical solutions. Copyright ASCE 2008.	en
heal.journalName	Geotechnical Special Publication	en
dc.identifier.doi	10.1061/40971(310)99	en
dc.identifier.issue	178	en
dc.identifier.spage	797	en
dc.identifier.epage	804	en