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Abbiasov, T (2021) Essays in Urban Economics, Unpublished PhD Thesis, , Columbia University.
Asgari, S (2016) Modeling construction competitive bidding: An agent-based approach, Unpublished PhD Thesis, , Columbia University.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system (NDCON): System design and performance modeling through the zero -buffered project management philosophy, Unpublished PhD Thesis, , Columbia University.
Chen, S-M (2002) Intelligent scheduling model and multi-dimensional CM information system, Unpublished PhD Thesis, , Columbia University.
Chiara, N (2006) Real option methods for improving economic risk management in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Fitch, G J (2019) System dynamics models for the valuation of real options in infrastructure investments, Unpublished PhD Thesis, , Columbia University.
Gerstenberger, A J (2021) Modeling the likelihood of construction incidents using public data, Unpublished PhD Thesis, , Teachers College, Columbia University.
Gocmen, F C (2014) Infrastructure scaling and pricing, Unpublished PhD Thesis, , Columbia University.
He, Y (2006) Earthquake loss and risk estimation of buildings by Monte Carlo simulation, Unpublished PhD Thesis, , Columbia University.
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cost performance: A comprehensive approach using statistical, artificial neural network and simulation methods, Unpublished PhD Thesis, , Columbia University.
Kokkaew, N (2010) Risk flexibility analysis in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.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and cost analysis: Three-dimensional computer models with integrated databases in the management of construction, Unpublished PhD Thesis, , Columbia University.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assessment framework for financing public-private partnership infrastructure projects through asset-backed security, Unpublished PhD Thesis, , Columbia University.
Silver, M L (1981) Craft production: Work and alienation in the construction industry, Unpublished PhD Thesis, , Columbia University.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insurance as a risk management tool for alternative dispute resolution (ADR) implementation in construction disputes, Unpublished PhD Thesis, , Columbia University.
Sturts, C S (2001) Value-bidding: An integrative approach utilizing conjoint analysis and classical bidding theory, Unpublished PhD Thesis, , Columbia University.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.
- Type: Thesis
- Keywords: flexibility; uncertainty; beams; civil engineering; decision making; problem solving; quantification
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/912962209
- Abstract:
Uncertainty quantification in Civil Engineering applications is crucial to the decision making process in the analysis, design, and retrofitting of infrastructure. The consensus amongst researchers is that deterministic approaches to problem solving can lead to very misleading results, and the assessment of infrastructure performance needs to be addressed within a probabilistic framework. As a result, there is great demand to identify and acquire probabilistic information about uncertain system parameters which affect the performance of a structure. Unfortunately, it is difficult to obtain a full probabilistic description of uncertain system parameters, specifically their spatial correlation structures. In response to this limitation, researchers have sought a means to circumventing the need for a full probabilistic description of system uncertainties in determining structural response statistics. One approach is the Variability Response Function(VRF) concept, introduced by Shinozuka, which decomposes the variability of a response quantity into a deterministic function that is solely dependent on the deterministic components of the structure and the Spectral Density Function (SDF) of the uncertain system parameters modeled as a homogeneous random field. The deterministic function is called the VRF and is analogous to the Green's function of a differential equation. This dissertation explores the limits of the applicability of the VRF concept in Structural Mechanics problems. The VRF concept is applied to nonlinear statically determinate and indeterminate beams as well as plane stress structures where the flexibility is considered to be a random field. In the latter part of the dissertation the VRF concept is applied to the problem of stochastic characterization of homogenized effective properties through an equivalent energy based homogenization technique. The final chapter of this dissertation presents a novel methodology to rapidly generate sample microstructures for random two phase materials.
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.