Vertical design spectra may be developed in a probabilistic seismic hazard assessment (PSHA) by computing the hazard using vertical ground motion prediction equations (GMPEs), or using a vertical-to-horizontal spectral acceleration (V/H) ratio GMPEs to scale the horizontal spectrum that was developed using the results of horizontal component PSHA. The objective of this study is to provide GMPEs that are compatible with regional ground motion characteristics to perform both alternatives. GMPEs for the V/H ratio were developed recently by G&uuml / lerce and Abrahamson (2011) using NGA-W1 database. A strong motion dataset consistent with the V/H ratio model parameters is developed by including strong motion data from earthquakes occurred in Turkey with at least three recordings per earthquake. The compatibility of GA2011 V/H ratio model with the magnitude, distance, and site amplification scaling of Turkish ground motion dataset is evaluated by using inter-event and intra-event residual plots and necessary coefficients of the model is adjusted to reflect the regional characteristics. Analysis of the model performance in the recent moderate-tolarge magnitude earthquakes occurred in Turkey shows that the Turkey-Adjusted GA2011 model is a suitable candidate V/H ratio model for PSHA studies conducted in Turkey. Using the same dataset, a preliminary vertical ground motion prediction equation for Turkey consistent with the preliminary vertical model based on NGA-W1 dataset is developed. Proposed preliminary model is applicable to magnitudes 5-8.5, distances 0-200 km, and spectral periods of 0-10 seconds and offers an up-to-date alternative to the regional vertical GMPEs proposed by Kalkan and G&uuml / lkan (2004).

Thesis aims to elaborate the urbanism ideology developed in the early republican period of Turkey and its reflection on the development of factory campuses. In Turkey after the Ottoman Empire, new state with its own ideology has impact on shaping urban space, politics of urban forms development, urban morphology and urban metamorphosis. This thesis examines various factory campuses designed and built after the establishment of the Turkish Republic, and focuses on a later campus development / namely Iskenderun Iron and Steel Factory Campus. The study notes the dissolution of factory-housing togetherness, and points to the design values in the case study presented.

Multi-relational learning has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational databases. As patterns involve multiple relations, the search space of possible hypotheses becomes intractably complex. Many relational knowledge discovery systems have been developed employing various search strategies, search heuristics and pattern language limitations in order to cope with the complexity of hypothesis space. In this work, we propose a relational concept learning technique, which adopts concept descriptions as associations between the concept and the preconditions to this concept and employs a relational upgrade of association rule mining search heuristic, APRIORI rule, to effectively prune the search space. The proposed system is a hybrid predictive inductive logic system, which utilizes inverse resolution for generalization of concept instances in the presence of background knowledge and refines these general patterns into frequent and strong concept definitions with a modified APRIORI-based specialization operator. Two versions of the system are tested for three real-world learning problems: learning a linearly recursive relation, predicting carcinogenicity of molecules within Predictive Toxicology Evaluation (PTE) challenge and mesh design. Results of the experiments show that the proposed hybrid method is competitive with state-of-the-art systems.