A resilience-based decision framework to determine performance targets for the built environment
dc.contributor.author | Masoomi, Hassan, author | |
dc.contributor.author | van de Lindt, John W., advisor | |
dc.contributor.author | Ellingwood, Bruce R., committee member | |
dc.contributor.author | Mahmoud, Hussam N., committee member | |
dc.contributor.author | Senior, Bolivar, committee member | |
dc.date.accessioned | 2018-06-12T16:14:01Z | |
dc.date.available | 2018-06-12T16:14:01Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Current design codes and standards focus on the design of individual facilities. A typical building is designed with the objective of the life safety of occupants. Even performance-based design approaches assess the required physical performance of an individual structure in order to satisfy prescribed criteria for that structure individually. Thus, even these performance objectives are likely not sufficient for a broad view of community-resilience goals. A modern community is made up of highly coupled networks, and disruptions within one or more networks may lead to disruptions to other networks. If a large number of buildings within a community become non-functional for a long time following an event, either because of physical damage or loss of utilities such as electric power and/or water, the consequences may affect other parts of the community such that, eventually, significant socioeconomic losses occur. Therefore, the current approach for designing individual physical components within a community can be reimagined such that it not only takes into account the performance of a component individually after a catastrophic event but also considers the consequences its design has on a community. The main purpose of this dissertation is to develop a methodology that links the performance of components within the built environment to community-level resilience goals by considering the dependencies and cross-dependencies between components and networks. Therefore, ultimately, this methodology enables disaggregation of the community-level objectives into a set of performance targets for the components of the built environment, which leads itself to the needs of policymakers and community leaders in order to make long-term planning decisions for a community. | |
dc.format.medium | born digital | |
dc.format.medium | doctoral dissertations | |
dc.identifier | Masoomi_colostate_0053A_14712.pdf | |
dc.identifier.uri | https://hdl.handle.net/10217/189335 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | 2000-2019 | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.subject | infrastructure system | |
dc.subject | natural hazard | |
dc.subject | tornado | |
dc.subject | interdependent networks | |
dc.subject | community resilience | |
dc.subject | population outmigration | |
dc.title | A resilience-based decision framework to determine performance targets for the built environment | |
dc.type | Text | |
dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
thesis.degree.discipline | Civil and Environmental Engineering | |
thesis.degree.grantor | Colorado State University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Masoomi_colostate_0053A_14712.pdf
- Size:
- 9.81 MB
- Format:
- Adobe Portable Document Format