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Al-Gahtani, K S (2006) A comprehensive construction delay analysis technique: Enhanced with a float ownership concept, Unpublished PhD Thesis, , State University of New York at Buffalo.
Aramvareekul, P (2003) An analysis of labor productivity in the United States construction industry, Unpublished PhD Thesis, , State University of New York at Buffalo.
Delaney, J W (2018) The effect of competition on bid quality and final results on state dot projects, Unpublished PhD Thesis, , State University of New York at Buffalo.
Deng, F (2004) Expert and decision-support system approaches for construction project financing and cash flow management for large infrastructure projects, Unpublished PhD Thesis, , State University of New York at Buffalo.
Hu, H (2014) Development of interoperable data protocol for integrated bridge project delivery, Unpublished PhD Thesis, , State University of New York at Buffalo.
Liang, D (2001) Improved reliability and economic modeling for new and retrofitted low-rise structures subjected to extreme wind hazards, Unpublished PhD Thesis, , State University of New York at Buffalo.
Mannarino, J A (2001) Evaluation of the construction management delivery system and establishing a model for selection: A qualitative approach, Unpublished PhD Thesis, , State University of New York at Buffalo.
Nikellis, A (2019) Risk-informed decision making for civil infrastructure subjected to single and multiple hazards, Unpublished PhD Thesis, , State University of New York at Buffalo.
Pan, N-H (1996) Automatic data processing technologies and industry-wide information transfer standards in the construction industry, Unpublished PhD Thesis, , State University of New York at Buffalo.
Ren, S (1997) GIS-based tools for earthquake risk assessment of point and spatially distributed lifeline systems, Unpublished PhD Thesis, , State University of New York at Buffalo.
- Type: Thesis
- Keywords: geographic information system; pipeline; earthquake; information system; risk assessment; seismic engineering; simulation
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304388763
- Abstract:
This study has created a real-time interactive set of GIS tools which can be used to predict the seismic performance of constructed point and distributed facilities such as bridges and gas and fluid pipelines. Three independent interactive systems were created to cover the broad scope of the problems considered, tools for the prediction of the spatial distribution of attenuated earthquake ground motion over large geographic regions, and sets of integrated interactive computational tools for the assessment of the Earthquake Vulnerability of point and continuously distributed constructed facilities. All of the analysis systems developed are based on an object-oriented system approach and can be divided into two major components. (1) The use of a Geographic Information System such as ARC/INFO as an integrating platform to manage non-spatial and spatial data, to carry out spatial query, analysis and display and to construct the graphic user interface. (2) Separate seismic engineering and vulnerability models programed as object modules and integrated with the GIS to predict seismic hazard loadings and the corresponding levels of damage of lifeline facilities due to a historic or user generated earthquake event. The analysis and prediction system has two outstanding characteristics; first is its interactive and graphic capability. A user can choose a historical earthquake or define his/her earthquake. This makes real time earthquake simulation of seismic risk assessment possible. The graphic user interface enables relatively non-technical persons to carry out seismic analysis using a common English language approach without having to know too much about computer-oriented details inside the analysis system. Although the analysis presented uses New York State as an example, the analysis system can be extended to any states or areas provided that the datasets needed are accessible. By developing the system as an object-oriented program, it is possible to plug in and out different theoretical models such as vulnerability, soil liquefaction or ground motion attenuation. It would then be possible to carry out a comparison of the earthquake response for any set of selected models. Where data is available the results could compare the impacts of actual earthquakes with the predicted results.
Schmidt, J R (1997) Quantifying the impact of construction accidents using predictive models, Unpublished PhD Thesis, , State University of New York at Buffalo.
Small, E P (1999) Development of a methodology for the integration of seismic risk mitigation activities in project and network level bridge management systems, Unpublished PhD Thesis, , State University of New York at Buffalo.
Zech, W C (2004) Enhancing work zone safety, Unpublished PhD Thesis, , State University of New York at Buffalo.