Phd Degree / Doktora

Permanent URI for this collectionhttps://hdl.handle.net/11147/2869

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Author: search.filters.author.İlal, Mustafa Emre

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  • Doctoral Thesis
    A Model for Early-Reflection Acoustic Design of Rooms for Speech
    (01. Izmir Institute of Technology, 2023) Sözer, Mahmut; İlal, Mustafa Emre
    The room acoustics treatments in conventional rectangular classrooms, if applied, usually appear as a sound-absorbing suspended ceiling in the entire ceiling. This approach to achieving a recommended reverberation time value underrates the importance of early reflections, particularly for speech intelligibility in the back rows. The research proposes a room acoustics design methodology named early-reflection-oriented room acoustics design (ERORAD) for rooms for speech based on a model where early reflections are prioritised and quantified by the G50 parameter. On-site measurements were conducted in the 'IYTE Yeni Amfi' room. A 3D computer model of the sample room was created to simulate and test various acoustic conditions. Binaural listening tests were conducted using the auralised audio material of the relevant scenarios mixed with background noise signals at varying levels representing the active classroom background noise. The study showed that an early-reflection-oriented room acoustics design (ERORAD) methodology increases relative sound levels of direct speech and its early reflections. This improves speech intelligibility at distant audience locations better than conventional approaches by categorising the room surfaces as functional surfaces (ERS) for early reflection of speech sound and as appropriate surfaces for absorption (SfA) for the absorption of the late reflections to control reverberation time. The findings suggested that G50 can be a primary parameter to determine the optimal trade-off point between speech sound energy and reverberation time to achieve required speech intelligibility in the audience positions away from the speaker at relatively high levels of active classroom background noise.
  • Doctoral Thesis
    A Model for Prediction of Noise Levels in Open Plan Offices Based on Number of Occupants
    (Izmir Institute of Technology, 2020) Karcı, Zeynep Sevinç; İlal, Mustafa Emre
    Noise is recognized as one of the largest problems in achieving healthy living environments. It is especially critical in working environments which are designed to encourage occupant interactions. While designing spaces, a noise prediction model would be a useful tool for designers. Models for prediction of noise generated by occupants themselves are few. One that has proven effective was developed specifically for eating establishments considering the Lombard effect. This study focuses on the adaptation of this model to open plan offices. Preliminary measurements were done in two eating establishments, a library study room and an architecture studio confirming the fact that the model is not appropriate for working spaces. Afterwards, measurements were conducted in six open plan offices, based on the measurements, the model parameters were analyzed in detail through optimizations for best-fit. The results indicate that the Lombard slope varies among offices and that spatial density is an indicator of number of simultaneously speaking occupants. For adapting the model to open plan offices, two modifications were proposed: Introduction of a variable representing the interaction level, and a lookup table for determining the number of simultaneous speakers. Interaction level reflects how careful occupants are in the space not to create noise for others. It changes based on the nature of work. The number of simultaneously speaking occupants depend on how close workstations are. The results indicate that with the proposed adaptations, the model is an adequate prediction tool that can be utilized in the design of open plan offices.
  • Doctoral Thesis
    A Method for Gis and Bim Integration To Support Automated Zoning Code Compliance Checking
    (Izmir Institute of Technology, 2020) Demir Altıntaş, Yelin; İlal, Mustafa Emre
    This thesis constitutes a study in the field of BIM-GIS interoperability, with a concentration on code compliance checking. Code checking requires appropriate computer-based models of building codes in digital format, zoning plans in GIS and building designs in BIM environment. However, in existing design environments, it is not possible to access neighborhood data. Interoperability and geographical data transfer from GIS to BIM environments are problematic. This study proposes a methodology for the creation of a third-party platform that draws IFC and GML data from both BIM and GIS environments separately and then combines them in a unified domain model appropriate to the field to be used in code checking processes. The proposed methodology includes the identification of the required data in the area of study; identification of how much of the data can be modelled with BIM model or GIS model; construction of the BIM and GIS domain models using the identified data; and development of an application that integrates the two domain models and manages them as a whole. For validation of the methodology and testing the developed platform, a proof of concept prototype is developed. The system retrieves building codes, reads the BIM file sent by the architect, and retrieves the information on the neighborhood the building is located in from GIS and conducts the checking process. The system demonstrates that BIM and GIS information can be compiled together during a code checking process creating a third-party platform. The applicability of the model has been evaluated through use-case scenarios. The use-cases demonstrate that the zoning domain model developed in this thesis can be used as a database to manage geographical information. Coupling the zoning domain model with BIM data supports digital code checking, eliminating the need for hard copies and simplifying approval processes as well as enabling architects to self-check designs for compliance before submitting them to municipalities.
  • Doctoral Thesis
    A Model for Assessing Acoustic Comfort in Enclosed Public Spaces
    (Izmir Institute of Technology, 2019) Çakır, Onurcan; İlal, Mustafa Emre
    Acoustic comfort is one of the important topics in terms of user satisfaction. In order to determine and control acoustic comfort, measurable parameters are needed to be able to compare and improve soundscapes. Parameters for architectural acoustics, like reverberation time and sound pressure level are widely used for this purpose. Psychoacoustic parameters like loudness, sharpness, roughness and fluctuation strength are mostly used for determining the sound quality of mechanical sounds. They have also started to be used for evaluating soundscapes of open areas and enclosed spaces. This research aims to find out the relationship between the psychoacoustic parameters and acoustic comfort in non-acoustic enclosed public spaces, specifically in eating establishments. To reach this aim, both on-site measurements and in laboratory listening tests were conducted in five eating establishments. During on-site measurements, a simultaneous questionnaire study was also conducted. Subjective and objective data were comparatively evaluated. Listening tests were based on auralizations with calibrated simulation models. This provided a research model, that allows control over the acoustic environment without having to make real changes in the physical elements of the eating establishments. The auralization sound files were presented to listening test participants with headphones and they evaluated soundscapes with different psychoacoustic properties. The last chapter provides a summary of results and suggestions for future studies. Better acoustic comfort was found to be related with higher sharpness, lower reverberation time, lower loudness and lower roughness values for the examined parameter ranges.
  • Doctoral Thesis
    A Model Based on Occupant Movement Analysis for Spatial Layout Evaluation
    (Izmir Institute of Technology, 2018) Başarır, Lale; İlal, Mustafa Emre
    Comparing architectural designs and measuring level of success is rather difficult. This research suggests that monitoring occupant behavior helps extract objective data that can then be interpreted as a measurement for evaluation of space. Lack of occupant behavior tracking and its understanding in terms of spatial layout problems constitutes the gap that underpins the major motivation for this research. The main concern of this research is to build a platform for acquisition of objective data for spatial layout evaluation and interpretation of acquired data to better understand how space is utilized by occupants. The methodology constructed in this research outlines a process for capturing and analyzing space utilization information. Through this process, assessments based on objective data will be available for spatial layouts. The Trajectory Data Processing Framework (TDPF) is constructed to function as a foundation for building connections and correlations between trajectory analysis and problems associated with spatial layouts. A set of tools for analysis of occupant interaction with layouts called Occupant Layout Interaction Analysis (OLIA) is laid out with computational tools and practices.