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Virginia Tech

Kinetic Demonstrations

Abstract

dc:description.abstract

This thesis studies general architectural conditions in pursuit of the ideal through specific acts of drawn geometric constructs. It attempts to clear away superimposed doxa from architecture, making space for a demonstration of epistemic constructs. These projections of the ideal carry with them the basic autonomy of form. The demonstrations are a search for what is true in architecture. The purest form of architecture can be found in drawing; drawing is bound to the fundamental axioms of geometric construction. The explorations are situated in the space between the ideal and the natural. Several kinds of parallel projections are developed into a set of rationally constructed demonstrations culminating in the posting of an ideal city. Through the practice of drawing, five propositions emerge. Drawing in a kinetic dimension. Drawing as a reconciliatory act between potentiality and actuality. Drawing in question of perception. Drawing as a precursor to model making and photography.

Degree

thesis:*
Name thesis:degree_name
Master of Architecture
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Architecture
Department dc:contributor.department
Architecture
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Spruill, Raymond Taylor
Chair dc:contributor.committeechair
  • Korkuti, Arian
Committee members dc:contributor.committeemember
  • Weiner, Frank H.
  • Thompson, Steven R.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:35358
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/112797

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Spruill, Raymond Taylor. Kinetic Demonstrations. masters thesis, Virginia Tech, 2022. http://hdl.handle.net/10919/112797