Phd Degree / Doktora
Permanent URI for this collectionhttps://hdl.handle.net/11147/2869
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Doctoral Thesis Computer Representation of Building Codes for Automated Compliance Checking(Izmir Institute of Technology, 2014) Macit, Sibel; Günaydın, Hüsnü MuratThis dissertation constitutes a study in the field of automated compliance checking, with a concentration on building code representations. Development of compliance checking systems has been an area of research that aims to provide computational support for accurate compliance checking of building projects against applicable building codes in a time and cost effective way. Systems for compliance checking of building projects require appropriate representations for building codes. Building codes are complex documents written in natural languages, and the development of computable representations is challenging. This dissertation proposes and demonstrates a new representation model and an accompanying modeling methodology for representing building codes in computable form that can be utilized in the development of automated compliance checking systems. The model adopts the four level representation paradigm as a theoretical base and uses the semantic modeling approach for developing the building code representation. The model breaks down the representation into four levels which allows separate modeling of domain concepts, individual rule statements, relationships between rules, and the organization of the building code. The dissertation shows that decomposing a building code into four levels and modeling rules based on the semantic-oriented paradigm is an effective modeling strategy for representing building codes in a computable form that is independent of automated compliance checking systems. The applicability of the model has been evaluated through a case study. The case study successfully illustrates the modeling of building codes that constitute parts of İzmir Municipality Housing and Zoning Code, as well as a prototype implementation of an automated checking system utilizing this building code representation.Doctoral Thesis Assessment Model for Communication Maturity Levels of Construction Companies(Izmir Institute of Technology, 2014) Bavunoğlu, Zeynep; Günaydın, Hüsnü MuratCommunication management systems are vital parts of organizational development and performance. Organizations have complex characteristics including decision making, information aggregation, management control, career concerns, goal setting and vertical and horizontal communication. In recent years, it has been found out that communication has an important effect on all these characteristics. But quantifying the effectiveness of the communication is difficult because it has many non-measurable variables. An effective communication can increase the level of effectiveness of the organization and the level of the effectiveness of communication system can be assessed by using maturity models. A maturity model describes the activities of processes and it impacts the performance of the organization. To find out the structure and maturity level of the communication system in a construction company, the Communication Capability Maturity Model (CCMM) is developed and its levels for communication maturity. To define a maturity level for a construction company, some variables of communication are measured as speed, the purpose, spread, clarity, shortness, scope and the other variables. The developed methodology uses a questionnaire survey. Survey has two parts; (1) organizational communication system and (2) emotions/moods of the employees. The results and analysis show that developed CCMM working properly and there are strong interdependencies between the variables (i.e. organizational communication system and moods, information, organization, team, individual and product). There is a negative moderate high correlation between communication capability maturity level (CCML) and negative moods. There is a moderate high correlation between the communication capability maturity level and level of emotional management behavior.Doctoral Thesis An Evaluation Methodology for Assessing Artificial Lighting Quality in Architecture: the Case of Apikam(Izmir Institute of Technology, 2007) Kutlu, Hilmi Gökhan; Günaydın, Hüsnü MuratThe aim of this dissertation is to design a qualitative evaluation methodology for artificial lighting. There is a problem in the general characteristics of lighting industry, deriving from its technical vocabulary which is mainly based on quantitative parameters, values, and systems which in some ways are neglecting the main ingredient of architecture: the user. The evaluation methodology that is subject of this dissertation was considered as a qualitative approach to lighting quality. The study benefited from the knowledge of environmental psychology, concerning the effect of lighting on behaviors and tried to integrate it to the process of assessing lighting quality. The methodology depends on data collection by various means such as surveys, measurements, and computer simulations. To test the qualitative evaluation methodology, a case study was designed in the exhibition hall of the Ahmet Piritina City Archive and Museum (APIKAM) in zmir. The evaluation methodology was successfully operated and made a detailed evaluation possible on the two lighting systems in the exhibition hall of APIKAM. Both lighting systems failed in functional aspects, because of the high intensity of light they produce, the emission of UV and IR wavelengths, and glare problems. They are simply not appropriate for the selected environment, where organic . based materials are exhibited. Recessed fluorescent lighting system failed in physiological aspects as it triggers less arousal than halogen spotlighting system. Both lighting systems have failed in attention scale under psychological aspects, because none of them supply continuity in the order of visual clues that match with the sequential order of the exhibition. For aesthetic and environmental judgments, the results of the survey showed that halogen lighting system was the preferred one by the subjects. For the sub-part of feelings, recessed fluorescent lighting systems failed, because it influenced generally negative feelings, while positive feelings are generally influenced by halogen spotlighting system.Doctoral Thesis A Model for Assesing Project Management Maturity Level of Architectural Design Offices (arch-Pmm)(Izmir Institute of Technology, 2007) Beset, Doğan Arda; Günaydın, Hüsnü MuratThe aim of this dissertation is to develop a model to assess .The Project Management Maturity Level of an Architectural Design Office. (Arch-PMM). The purpose of ARCH-PMM is to develop an environment for productive and efficient design conditions. By increasing the levels of ARCH-PMM, architectural design office will create opportunity to focus on its concerns for high quality architectural design process. To determine whether Arch-PMM assessment methodology is working properly, a semi structured survey is conducted with selected architectural design offices. This study is the first attempt that focuses on architectural design offices. PM practices and processes. A 5 leveled PM Maturity Model is developed to assess architectural design offices. current PM Maturity level. Maturity levels are assessed vis a semi-structured survey. 71 Members of the Association of Turkish Independent Architects (ATIA)participated to semi-structured survey to validate the model. A list of demographical questions was asked to draw the demographical picture of the architectural design offices. Both, maturity levels and demographical data are analyzed. The results of the assessment provide the necessary information for the architects to improve their PM processes and activities. Project Integration Management was highly mature among the other function areas and it.s followed by Project Scope Management. The least matured function area was the Project Risk Management. High correlation values between the number of staff and all PM function areas are also observed. Yearly income level and overall maturity level of the architectural design offices are found to be related at correlation high levels (r.0.73). The well defined structure of architectural design process seems to support project management culture and have potentials of high project management maturity levels.Doctoral Thesis Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings(Izmir Institute of Technology, 2005) Doğan, Sevgi Zeynep; Doğan, Sevgi Zeynep; Günaydın, Hüsnü Murat; Günaydın, Hüsnü MuratIt is desirable to predict construction costs in the early design stages in order tomake sure that target costs are met and competitive prices are realized. This study investigates the possibility of predicting the cost of construction early in the design phase by using machine learning (ML) techniques. To achieve this objective, artificialneural network (ANN) and case based reasoning (CBR) prediction models were developed in a spreadsheet-based format. An investigation of the impacts of weight generation methods on the ANN and CBR models was conducted. The performance of the ANN model was enhanced by experimenting with the weight generation methods of simplex optimization, back propagation training, and genetic algorithms while the CBR model was augmented by feature counting, gradient descent, genetic algorithms (GA), decision tree methods of binary-dtree, info-top and info-dtree.Cost data belonging to the superstructure of low-rise residential buildings were used to test these models. It was found that both approaches were capable of providing high prediction accuracy, 96% for ANN using simplex optimization for weight determination, and 84% for CBR using GA for attribute weight selection. A comparison of the Excel-based ANN and CBR models was made in terms of prediction accuracy, preprocessing effort, explanatory value, improvement potentials and ease of use. The study demonstrated the practicality of using spreadsheets in developing ANN and CBR models for use in construction management as well as the potential benefits of enhancing ANN and CBR models by using different weight generation methods.
