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Abbiasov, T (2021) Essays in Urban Economics, Unpublished PhD Thesis, , Columbia University.
Asgari, S (2016) Modeling construction competitive bidding: An agent-based approach, Unpublished PhD Thesis, , Columbia University.
Chang, H-H (2002) N-dimensional construction management information system (NDCON): System design and performance modeling through the zero -buffered project management philosophy, Unpublished PhD Thesis, , Columbia University.
Chen, S-M (2002) Intelligent scheduling model and multi-dimensional CM information system, Unpublished PhD Thesis, , Columbia University.
Chiara, N (2006) Real option methods for improving economic risk management in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Fitch, G J (2019) System dynamics models for the valuation of real options in infrastructure investments, Unpublished PhD Thesis, , Columbia University.
Gerstenberger, A J (2021) Modeling the likelihood of construction incidents using public data, Unpublished PhD Thesis, , Teachers College, Columbia University.
Gocmen, F C (2014) Infrastructure scaling and pricing, Unpublished PhD Thesis, , Columbia University.
He, Y (2006) Earthquake loss and risk estimation of buildings by Monte Carlo simulation, Unpublished PhD Thesis, , Columbia University.
- Type: Thesis
- Keywords: estimating; probability; Monte Carlo simulation; simulation; earthquake; innovation
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/305345502
- Abstract:
The methodology of earthquake loss and risk estimation using Monte Carlo simulation has been developed to predict probabilistic risks of buildings subject to ground motion hazard, under two different assumptions including: (1) assuming at most one earthquake in a time window; (2) assuming an arbitrary number of earthquakes in a time window. Under the first assumption, the loss exceedance probability is obtained by integrating loss distributions conditioned on various earthquake intensity levels, which are simulated by using fragility curves, with the hazard curve. The simulation is then extended to adjacent buildings with damage correlation modeled by prescribed correlation functions, and to non-adjacent buildings subject to uncorrelated ground motions. Under the second assumption, multiple earthquakes in a time window are modeled as a Poisson arrival process with different scenario intensities. The seismic performance variable of a single building, in terms of maximum interstory drift ratio or aggregate loss, is simulated based on the building's fragility curves and the intensity of each earthquake scenario. Individual and overall fragility curves are developed and applied to the simulation, in order to account for non-ergodic and ergodic structural behaviors, respectively. The methodology is finally extended to estimate the aggregate loss of multiple adjacent buildings, accounting for interactive effects from structural and/or damage correlation in one event, and from structural non-ergodicity in time. Only general directions are provided for estimating the aggregate loss of multiple buildings over multiple earthquake events by using individual and/or overall fragility curves. The major innovations of this thesis are: (1) Modeling damage correlation of multiple adjacent buildings in one earthquake by introducing prescribed correlation functions and generating correlated random numbers accordingly; (2) Accounting for structural non-ergodicity through Monte Carlo simulation to predict the distributions of seismic performance variables, especially in terms of cumulative damage or loss; (3) Conceptually addressing the effect of structural correlation on the loss estimation of multiple buildings in multiple events.
Hogan, D B (1998) Modeling construction cost performance: A comprehensive approach using statistical, artificial neural network and simulation methods, Unpublished PhD Thesis, , Columbia University.
Kokkaew, N (2010) Risk flexibility analysis in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Li, W (1995) Benefit and cost analysis: Three-dimensional computer models with integrated databases in the management of construction, Unpublished PhD Thesis, , Columbia University.
Lu, Z (2018) Feasibility assessment framework for financing public-private partnership infrastructure projects through asset-backed security, Unpublished PhD Thesis, , Columbia University.
Silver, M L (1981) Craft production: Work and alienation in the construction industry, Unpublished PhD Thesis, , Columbia University.
Song, X (2013) The application of insurance as a risk management tool for alternative dispute resolution (ADR) implementation in construction disputes, Unpublished PhD Thesis, , Columbia University.
Sturts, C S (2001) Value-bidding: An integrative approach utilizing conjoint analysis and classical bidding theory, Unpublished PhD Thesis, , Columbia University.
Subsomboon, K (2004) A procurement and material management (PMM) system based on the fully integrated and automated project process (FIAPP), Unpublished PhD Thesis, , Columbia University.
Sun, W (2023) A self-localized smart hardhat system for construction 4.0, Unpublished PhD Thesis, , Columbia University.
Tavakolan, M (2011) Development of construction projects scheduling with evolutionary algorithms, Unpublished PhD Thesis, , Columbia University.
Teferra, K (2012) Developments in the theory and applications of the variability response function concept, Unpublished PhD Thesis, , Columbia University.
Ucbenli, C (2010) A bargaining mechanism with incomplete information and its application in trilateral BOT negotiations, Unpublished PhD Thesis, , Columbia University.
Unsal, H I (2010) Modeling the hold-up problem and absorptive capacity of project networks, Unpublished PhD Thesis, , Columbia University.
Wang, W (2010) Multivariate stochastic copula-based deterioration models in infrastructure economic risk management, Unpublished PhD Thesis, , Columbia University.