(T) 19 terms
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Term (Ascending) Term (Descending) Creation date (Ascending) Creation date (Descending) Creator (Ascending) Creator (Descending) Term Definition Abbreviations Synonyms Labels

Tabu Search

Created Jan 12, 2021 (14:52) by Unknown User (Helen Gardner)

Applied-Analytics Tabu search, also called adaptive memory programming, is a method for solving challenging problems in the field of optimization. The goal is to identify the best decisions or actions in order to maximize some measure of merit (such as maximizing profit, effectiveness, quality, and social or scientific benefit) or to minimize some measure of demerit (cost, inefficiency, waste, and social or scientific loss). (Fred Glover and Manuel Laguna 2013)[ Glover F., Laguna M. (2013) Tabu Search∗. In: Pardalos P., Du DZ., Graham R. (eds) Handbook of Combinatorial Optimization. Springer, New York, NY. https://doi-org.ezproxy.lib.ou.edu/10.1007/978-1-4419-7997-1_17]


Created Aug 12, 2020 (00:00) by Unknown User (Elizabeth Bittel)

General: “the systematic distinguishing, ordering, and naming of type groups within a subject field” (Gove 1993). Civil Engineering: Taxonomy is defined as classifying structures into different groups, based on similarities in structural performance under natural hazards.

Temporal And Spatial Correlation Analysis

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

A measure of the interdependence between two or more variable in either a spatial or temporal sense.

Testbed Community

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

  • Testbeds

Data-Architecture "Center investigators are engaged in resilience modeling and assessment of two small communities. The purpose of these testbeds is multi-fold: to enable the fundamental algorithms in IN-CORE to be initiated, developed and tested at an early stage of the Center research program before the measurement methods, data ontology and databases for modeling physical and social infrastructure systems and networks have fully matured; to provide guidance to NCSA software developers as to the mature of the algorithms that will be incorporated into IN-CORE; and to build working models of collaboration in teams of engineers, social scientists and computer scientists early in the Center research endeavor, something that has been elusive in previous large research centers. These testbeds will test the modeling, linkages and inter-dependencies between simple representations of building inventories, bridges and transportation systems, utility systems and the socioeconomic systems within the community that they support, and will inform the subsequent development of algorithms to estimate impact and recovery trajectories of systems that are essential for community resilience. The current testbeds will inform the development of more refined community resilience assessment methods in subsequent years of the Center research program." (Center for Risk Based Community Resilience Planning 2019; web) [Center for Risk Based Community Resilience Planning, Colorado State University. (2019). Testbed Communities. Retrieved from: http://resilience.colostate.edu/testbed.shtml]


Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Electronics "Network testbeds allow the effectiveness of algorithms and protocols to be evaluated by providing a controlled environment for measuring network performance." Test beds are used "for experimental evaluation of algorithms and protocols." (Akyildiz et al. 2008; 1588) [Akyildiz, I. F., Melodia, T., & Chowdhury, K. R. (2008). Wireless multimedia sensor networks: Applications and testbeds. Proceedings of the IEEE, 96(10), 1588-1605.]

Time-Dependent Fragility Models

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Engineering "A model... developed for estimating fragility functions that depend on the degree of structural deterioration." These models are "used to model the change in the structure over time due to exposure to different environmental conditions. The effect of deterioration on structural demand and capacities is considered in the evaluation of the fragility functions." (Rao et al. 2017; 67) [Rao, A. S., Lepech, M. D., & Kiremidjian, A. (2017). Development of time-dependent fragility functions for deteriorating reinforced concrete bridge piers. Structure and Infrastructure Engineering, 13(1), 67-83.]

Time Granularity For Analysis

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

An analysis may require a particular assessment to be performed continuously over time, however, continuous assessments are not always possible and are typically approximated with assessments over discrete time steps. The time granularity of the analyses then refer to how often we perform an underlying assessment which is supposed to be continuous in reality. Sharma et al. (2020)


Created Aug 12, 2020 (00:00)

  • Tornado Hazard Curve; Tornado Scenario

Weather. “Tornadoes are extremely complex wind events that cause damage ranging from minimal or minor to absolute devastation.... In a simplified tornado model, there are three regions of wind: 1. Near the surface, close to the core or vortex of the tornado. In this region, the winds are complicated and include the peak low level wind speeds, but are dominated by the tornado’s strong rotation. It is in this region that strong upward motions occur that carry debris upward, as well as around the tornado. 2. Near the surface, away from the tornado’s core or vortex. In this region, the flow is dominated by inflow to the tornado. The inflow can be complicated and is often concentrated into relatively narrow swaths of strong inflow rather than a uniform flow into the tornado’s core circulation. 3. Above the surface, typically above the tops of most structures, the flow tends to become very nearly circular. In an actual tornado, the diameter of the core or vortex circulation can change with time, so it is impossible to say precisely where one region of the tornado’s flow ends and another begins. Also, the visible funnel cloud associated with and typically labeled the vortex of a tornado is not always the edge of the strong extreme winds. Rather, the visible funnel cloud boundary is determined by the temperature and moisture content of the tornado’s inflowing air. The highest wind speeds in a tornado occur at a radius measured from the tornado core that can be larger than the visible funnel cloud’s radius. It is important to remember that a tornado’s wind speeds cannot be determined just by looking at the tornado.” (FEMA 1999; 2-4) [Federal Emergency Management Agency (FEMA). (1999). Building Performance Assessment Report: Midwest Tornadoes of May 3, 1999. Retrieved from: https://www.fema.gov/media-library-data/20130726-1443-20490-7720/fema342.pdf ]

Tornado Hazard Model

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Tornado Hazard. There are two effective approaches to simulate the tornado hazard model. The first approach is typically developed by using damage assessments for buildings beginning at what is believed to be the centerline of the tornado and working outward in transects perpendicular to the tornado path. The other is to estimate near-surface wind speed that exists for the tornado, some of which are based on tree fall patterns. Please see the tornado hazard model page on Confluence with more details. https://opensource.ncsa.illinois.edu/confluence/display/INCORE1/Tornado+Hazard+Model

Tornado Scenario

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Tornado Hazard. "An examination of risk," that is "composed of two parts: one part relating to the probability of a natural hazard occurring, while the second relates to the magnitude of the resulting impact (which depends upon the vulnerability of the exposed infrastructure and population)." (Etkin et al. 2002; 1) [Etkin, D., Brun, S. E., Chrom, S., & Dogra, P. (2002). A tornado scenario for Barrie, Ontario. Institute for Catastrophic Loss Reduction.]

Traffic Loads

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Civil Engineering "The loading exerted by vehicles onto transportation infrastructure (roads, railways, bridges, etc.). Load estimation guidelines are usually specified within design codes."Transportation Officials. Task Force for Roadside Safety. (2011). Roadside design guide. AASHTO.

Training Datasets

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Mathematics "Training data is used to train an algorithm. Generally, training data is a certain percentage of an overall dataset along with testing set. As a rule, the better the training data, the better the algorithm or classifier performs." (Figure Eight 2019; web) [Figure Eight. (2019). What is training data? How to collect it and why it matters just as much as your algorithm. Retrieved from: https://www.figure-eight.com/resources/what-is-training-data/]

Transportation Infrastructure Constituents

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Geography "The physical support of transport modes, where routes (e.g. rail tracks, canals or highways) and terminals (e.g. ports or airports) are the most significant components. Infrastructures also include superstructures which are movable assets that usually have a shorter lifespan." (Rodrigue, J-P. 2019; web) [Rodrigue, J-P. (2019). Core Components of Transportation. Retrieved from https://transportgeography.org/?page_id=247]

Transportation Network Modeling

Created Jan 12, 2021 (14:52) by Unknown User (Helen Gardner)

Transportation "Transportation network models allow for abstraction of real life conditions and events in order to analyze or design transportation infrastructure." (Ran and Boyce 2012; 4) [Ran, B., & Boyce, D. (2012). Modeling dynamic transportation networks: an intelligent transportation system oriented approach. Springer Science & Business Media.]

Transportation Network Reliability Quantification

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Network-Reliability "The ability of degraded transport networks to cope with travel demand." In major urban cities research is focused on "the reliability of urban passenger transport networks, in terms of the probability that the network will deliver a required standard of performance. This situation is characterised by high levels of congestion, a dense road network, and quantifiable probability of degradation of the network." (D'este and Taylor 2003) [D'este, G. A., & Taylor, M. A. P. (2003). Network vulnerability: an approach to reliability analysis at the level of national strategic transport networks. In: The Network Reliability of Transport: Proceedings of the 1st International Symposium on Transportation Network Reliability (INSTR) (pp. 23-44). Emerald Group Publishing Limited.]


Created Apr 24, 2019 (00:00) by Jong Lee

  • Earthquake Engineering; Geology

A tsunami is a sea wave of local or distant origin that results from large-scale seafloor displacements associated with large earthquakes, major submarine slides, or exploding volcanic islands. (USGS Earthquake; web)

Tsunami-Earthquake Case

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

A multi-hazard corresponding to a seismic event that originates on the seafloor. The earthquake results in ground shaking and sea-floor displacement which subsequently triggers a tsunami.

Tsunami Fragility Modeling

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Tsunami fragility modeling involves developing fragility functions for infrastructure subjected to tsunami hazards. These fragility functions provide a probabilistic link between tsunami intensity and infrastructure damage.

Tsunami Inundation Intensity Measures

Created Aug 12, 2020 (00:00) by Unknown User (Helen Gardner)

Tsunami intensity measures charactize the intensity of a tsunami and respresent the damage potential of a tsunami. Typical intensity measures used in tsunami fragility function development include inundation depth, flow velocity, and derived intensity measures involving inundation depth and flow velocity such as momentum flux, and moment of momentum flux.