{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/121888"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/121888","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Standardized structural design for post-disaster modular housing units under clustered environmental loads","abstract":"This thesis addresses current shortcomings in the post-disaster housing response from a structural engineering perspective, proposing a new methodology to approach a multi-design standardized solution. Known environmental loading taken from building codes is analyzed over the entire United States to create a data-set that describes the distinct loading conditions of each region. Loads are clustered into grouping that suggest a single housing typology could address the structural need of the group. Additional non-structural data is added in consideration of performance-driven design metrics that are not structural by nature. To prove viability of the methodology, a case study was implemented to propose a structural design for a selected cluster of regions. Performance-based design was implemented through parametric modeling tools considering multiple objectives including structural weight, transportation logistics, interior thermal comfort, and off-grid utilities. The exercise demonstrated that the cluster analysis serves as a practicable tool for intelligently informed standardized housing design.","abstract_html":"This thesis addresses current shortcomings in the post-disaster housing response from a structural engineering perspective, proposing a new methodology to approach a multi-design standardized solution. Known environmental loading taken from building codes is analyzed over the entire United States to create a data-set that describes the distinct loading conditions of each region. Loads are clustered into grouping that suggest a single housing typology could address the structural need of the group. Additional non-structural data is added in consideration of performance-driven design metrics that are not structural by nature. To prove viability of the methodology, a case study was implemented to propose a structural design for a selected cluster of regions. Performance-based design was implemented through parametric modeling tools considering multiple objectives including structural weight, transportation logistics, interior thermal comfort, and off-grid utilities. The exercise demonstrated that the cluster analysis serves as a practicable tool for intelligently informed standardized housing design.","abstract_has_math":false,"creators":["Stephen, Courtney P.(Courtney Paige)"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Civil and Environmental Engineering","school":null,"contributors":[],"advisors":["Caitlin T. Mueller."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:21:14Z","subjects":["Civil and Environmental Engineering."],"languages":["eng"],"rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/121888","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Caitlin T. Mueller."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Civil and Environmental Engineering","CivEng"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Department of Civil and Environmental Engineering."]},{"key":"dc:creator","label":"Author","values":["Stephen, Courtney P.(Courtney Paige)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-07-22T19:35:11Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-07-22T19:35:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2019"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Civil and Environmental Engineering."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/121888"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 44-46)."]},{"key":"dc:description.abstract","label":"Abstract","values":["This thesis addresses current shortcomings in the post-disaster housing response from a structural engineering perspective, proposing a new methodology to approach a multi-design standardized solution. Known environmental loading taken from building codes is analyzed over the entire United States to create a data-set that describes the distinct loading conditions of each region. Loads are clustered into grouping that suggest a single housing typology could address the structural need of the group. Additional non-structural data is added in consideration of performance-driven design metrics that are not structural by nature. To prove viability of the methodology, a case study was implemented to propose a structural design for a selected cluster of regions. Performance-based design was implemented through parametric modeling tools considering multiple objectives including structural weight, transportation logistics, interior thermal comfort, and off-grid utilities. The exercise demonstrated that the cluster analysis serves as a practicable tool for intelligently informed standardized housing design."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Standardized structural design for post-disaster modular housing units under clustered environmental loads"]}]}],"canonical_facts":{"dc:contributor.advisor":["Caitlin T. Mueller."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Civil and Environmental Engineering","CivEng"],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Civil and Environmental Engineering."],"dc:creator":["Stephen, Courtney P.(Courtney Paige)"],"dc:date.accessioned":["2019-07-22T19:35:11Z"],"dc:date.available":["2019-07-22T19:35:11Z"],"dc:date.issued":["2019"],"dc:description":["Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 44-46)."],"dc:description.abstract":["This thesis addresses current shortcomings in the post-disaster housing response from a structural engineering perspective, proposing a new methodology to approach a multi-design standardized solution. Known environmental loading taken from building codes is analyzed over the entire United States to create a data-set that describes the distinct loading conditions of each region. Loads are clustered into grouping that suggest a single housing typology could address the structural need of the group. Additional non-structural data is added in consideration of performance-driven design metrics that are not structural by nature. To prove viability of the methodology, a case study was implemented to propose a structural design for a selected cluster of regions. Performance-based design was implemented through parametric modeling tools considering multiple objectives including structural weight, transportation logistics, interior thermal comfort, and off-grid utilities. The exercise demonstrated that the cluster analysis serves as a practicable tool for intelligently informed standardized housing design."],"dc:description.degree":["S.M."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/121888"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Civil and Environmental Engineering."],"dc:title":["Standardized structural design for post-disaster modular housing units under clustered environmental loads"],"dc:type":["Thesis"],"thesis:degree_name":["Master"]},"updated_at":"2026-07-22T22:21:14Z"}