Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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Author: search.filters.author.Akan, Asli ErCOAR Access Rights: search.filters.coarAccessRights.open access

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Now showing 1 - 4 of 4
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Tensile Performance of Traditional and Modern Corner Joints in Wooden Structures
    (Zagreb Univ, Fac Forestry, 2022) Atar, Musa; Gode, Fazli; Kucuktuvek, Mustafa; Akan, Asli Er; Ormecioglu, Hilal Tugba; Keskin, Hakan
    Corner joints are critical points of wooden structures not only in furniture construction but also in traditional wooden architecture, especially in constructions without nails. This study was performed to determine the effects of particular factors such as the axis of assembly, types of material, and adhesive on the tensile performance of various modern and traditional types of wooden corner joints. For this purpose, various corner joint specimens were prepared with three different wooden materials: Scots pine (Pinus sylvestris Lipsky) wood, Lombardy poplar (Populus nigra Lipsky) wood, and Medium Density Fibreboard (MDF) using two different adhesives: polyvinyl acetate (PVAc) and polyurethane (Desmodur-VTKA) glues; and five different wooden joint types: dowel, tongue-and-groove, half-blind dovetail, screw, and eccentric screw joints. Tensile performance tests, vertical and parallel to the axis of assembly, were carried out according to ASTM D 1037 guidelines. Experiments indicated that, while the tensile performance of MDF specimen connected with a screw and PVAc adhesive was the highest under loading parallel to the axis of assembly (4592 N); it was the lowest under loading parallel to the axis of assembly in MDF specimen connected with tongue-and-groove joint and PVAc adhesive (260 N), respectively. As a result, it may be advantageous to apply screwed joints in corners for high tensile strength in parallel to the axis of the assembly.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Towards an Earthquake-Resistant Architectural Design With the Image Classification Method
    (Taylor & Francis Ltd, 2024) Akan, Asli Er; Bingol, Kaan; Ormecioglu, Hilal Tugba; Er, Arzu; Ormecioglu, Tevfik Oguz; Er Akan, Aslı
    Architectural design is an interdisciplinary process which involves multiple stages that are interconnected. In this process, it is common for major decisions to be changed during the final stage, the analysis of the structural system. After making substantial corrections, the architect has to revisit the early stages, the preliminary project. This back-and-forth process can result in significant losses in time and cost. The proposed Irregularity Control Assistant (IC-Assistant) aims to provide architects with feedback on the conformity of structural system decisions to the irregularities defined in the Turkish Building Earthquake Code (TBEC-2018), using image processing methods at the early stages of the design process. The IC-Assistant was preliminarily created to evaluate the torsional irregularity of plan organization using deep learning methods. In this study, the results of the IC-Assistant were verified by structural analysis with the Prota-Structure program. The novelty of this study is the use of the image-classification method in earthquake-resistant architectural design. Up to this point, the method has been mainly used in facial recognition systems. This method minimizes time, human error, and cost losses and includes awareness of load bearing and earthquake resistance as inputs in the early stages of architectural design.
  • Article
    Citation - WoS: 10
    Citation - Scopus: 11
    Post-Restoration Seismic Performance Assessment of a Historic Hypostyle Mosque in Anatolia (13th Century Ad)
    (Elsevier, 2023) Cosgun, Turgay; Akan, Asli Er; Uzdil, Oguz; Er, Arzu; Ormecioglu, Hilal Tugba; Sayin, Baris
    Assessment of structural performance under seismic effects is a very important step for restoration process of historic buildings that represent construction techniques and material characteristics of their era. This process consists of three stages namely, on-site examinations, restoration practices, and seismic analysis, and therefore, requires a multidisciplinary approach. Hypostyle structures are mostly timber-framed buildings with masonry walls on two or three facades. This construction method is a combination of Asia (wooden pillar) and Byzantine (masonry walls) techniques. The primary load-bearing system in these buildings is composed of multiple rows of wooden pillars. This paper presents post-restoration seismic assessment of a historic wooden hypostyle mosque complex constructed in 1273. This mosque complex is an important structure representing wooden hypostyle architecture in the Anatolia region of Turkey and is composed of three separate structures namely, a main mosque building, a minaret, and a tomb. Linear performance analysis, displacement-controlled nonlinear analysis, and kinematic limit analysis for failure mechanisms were conducted for the structures after the restoration. The linear performance analysis results indicated that the structures meet shear strength requirements for DD3 and DD2 earthquakes with recurrence periods of 72 and 475 years, respectively. Furthermore, according to the linear and non-linear analyses, the complex was found to satisfy performance limits for both ground motion levels in terms of inter-story drifts.
  • Article
    Citation - WoS: 12
    Citation - Scopus: 19
    Artificial Intelligence Applications in Earthquake Resistant Architectural Design: Determination of Irregular Structural Systems With Deep Learning and Imageai Method
    (Gazi Univ, Fac Engineering Architecture, 2020) Bingol, Kaan; Akan, Asli Er; Ormecioglu, Hilal Tugba; Er, Arzu
    Although the architectural design process is carried out with the collaboration of experts who are experienced in many different areas from the main preferences to the detailing stage, the major decisions such as plan organization, mass design etc. are taken by the architect. Computer Aided Design (CAD) programs are generally effective after the major decisions of the design are taken. For this reason, it is common for the main decisions, taken during the design process, to be changed during the analysis of the structural system. In order to prevent this, in the early stages of architectural design, earthquake system awareness and structural system design should be included as an design input; as, the failure of the structural system which did not considered well in the architectural design phase leads to unexpected revisions in the implementation project phase and thus leads to serious losses in both time and cost. The aim of this study is to create an Irregularity Control Assistant (IC Assitant) that can provide architects general information about the appropriateness of structural system decisions to earthquake regulations in the early stages of design process by using the deep learning and image processing methods. In this way, correct decisions will be made in the early stages of the design and unexpected revisions that may occur during the implementation project phase will be prevented.