Structural and Spatial Analysis of the Mosques of the Architect Sinan with Hexagonal and Octagonal Baldachin Systems

The master architect of the Ottoman era, Architect Sinan, created and left behind a wide range of structural typologies. The most numerous of Sinan’s works were his mosques. The features defining the layout plan of Sinan’s mosques are the central domed baldachin and the characteristics of the structure on which the baldachin rests. Sinan made use of multiple support systems of sometimes four, six or eight elements in his system of dome structures, planning the layouts of his mosques around the framework of these systems. Sinan handled each of his domed and multiple pillar-supported central baldachin in different ways in terms of both the foundation of the baldachin and of the side galleries, creating in this group of structures a “Sinan style.” This paper is an attempt to make a comparative analysis of the organization of the domed central baldachin constituting the main space of the mosques of Architect Sinan, which is part of a hexagonal and octagonal baldachin system with multiple supports forming the central nucleus of the mosque, and of the side galleries, addressing the relationships between baldachin, structures, dome and galleries.

Deep Learning and Handcrafted Features for Virus Image Classification

In this work, we present an ensemble of descriptors for the classification of virus images acquired using transmission electron microscopy. We trained multiple support vector machines on different sets of features extracted from the data. We used both handcrafted algorithms and a pretrained deep neural network as feature extractors. The proposed fusion strongly boosts the performance obtained by each stand-alone approach, obtaining state of the art performance.

Error Caused by Damping Formulating in Multiple Support Excitation Problems

The effect of multiple support excitation is an important issue in studying large-span structures. Researchers have shown that the damping related terms in the equation of motion can induce errors in the analysis. Wrongly modelling the damping matrix can induce false damping forces between the structure and the reference coordinates. In multiple support excitation problems, this error is increased when absolute coordinates are used. In this paper, this part of the error is defined as virtual damping error. The error caused by using Rayleigh damping instead of Modal damping is called damping truncation error. This study focuses on the virtual damping error and the damping truncation error that exist in the modeling methods widely used in multiple support excitation problems, namely, large mass method (LMM), relative motion method (RMM), and absolute displacement method (ADM). A new Rayleigh damping formula is proposed for LMM to prevent virtual damping error. A form of equation of motion derived from the converged LMM was proposed in the authors’ previous work. This equation of motion is proved in this paper to be equivalent to RMM when modal damping and the new Rayleigh damping formula are used. RMM is proved free from the virtual damping error. The influence of multiple support excitation effect on the damping formulating errors is studied by spectral analysis. One simplified spring-mass model and two bridge models are used for numerical simulation. The results from the numerical simulation testify to the conclusions from the spectral analysis.

Machining Vibration Suppression of a Cylindrical Part by a Point-Contact Support

Aircraft engine cases employ a thin-walled cylindrical structure for the reduction of fuel consumption. The machining of such parts requires support systems as cutting forces generate shell mode vibrations. There has been much research on the design of vibration suppression devices such as mass dampers, tuned mass dampers, active dampers, and fixturing stretch. Although such devices can offer excellent performance in vibration suppression, cost, and time for manufacturing and setup with tuning are problems. In this paper, the test results of a simple support system that suppresses the vibration modes of a cylindrical part are reported. A support element employs two-contacts in the curved surface. Multiple support elements are arranged according to the number of antinodes of shell modes. Each support has two rollers with a rotating head; the roller contact aligned in the curved surface. For the decision of the number of the support elements, modal analysis was carried out for a cylindrical part. An excitation test was carried out to evaluate the frequency response of a supported cylinder, and several peaks in frequency response were found to be suppressed. A cutting test with an endmill was carried out to evaluate the vibration levels. The experimental results show that the support can suppress forced vibration during machining.

Impact of High Energy Mining-Induced Seismic Shocks from Different Mining Activity Regions on a Multiple-Support Road Viaduct

In this paper, the dynamic responses of a large-scale multiple-support road viaduct to mining-induced seismic events registered in two regions of mining activity were compared. The regions differ in geological structure, which results in discrepancies in the dominant frequency content. Spatial variation of ground motion causing the kinematic excitation non-uniformity was accounted for in the dynamic analyses of this large-scale structure. Non-uniform mining-induced kinematic excitation models were proposed, with respect to the specificity of mining origin quakes. The dynamic performance of the viaduct was determined using three different methods of calculation: the time history analysis, the response spectrum analysis, and the multiple support response spectrum analysis. Both the uniform and non-uniform kinematic excitation models were adopted for the dynamic performance assessment. The research revealed that the dynamic response of some members of the structure, determined using the non-uniform excitation model, was significantly greater than that obtained for the uniform one. Hence, in the dynamic analysis of multiple-support structures under mining-induced events, the effect of spatial variation of ground motion should be considered. The study pointed out that the commonly used response spectrum analysis may lead to the underestimation of the dynamic response of large-scale multiple-support structures. Instead, the multiple support response spectrum method, which takes into account the non-uniformity of ground motion, is recommended as a conservative approximation. This method provides a safe upper estimation of the full-dynamic analysis results of large-scale structures under mining-induced tremors. Finally, the research indicated that the dynamic performance of a structure strongly depends on the frequency range attributed to a specific mining region. The dynamic performance of identical engineering structures under tremors of similar maximal amplitudes may differ significantly due to discrepancies in frequency contents of shocks occurring in various mining regions.

Cerebral infarction classification using multiple support vector machine with information gain feature selection

Stroke ranks the third leading cause of death in the world after heart disease and cancer. It also occupies the first position as a disease that causes both mild and severe disability. The most common type of stroke is cerebral infarction, which increases every year in Indonesia. This disease does not only occur in the elderly, but in young and productive people which makes early detection very important. Although there are varied of medical methods used to classify cerebral infarction, this study uses a multiple support vector machine with information gain feature selection (MSVM-IG). MSVM-IG is a modification among IG Feature Selection and SVM, where SVM conducted doubly in the process of classification which utilizes the support vector as a new dataset. The data obtained from Cipto Mangunkusumo Hospital, Jakarta. Based on the results, the proposed method was able to achieve an accuracy value of 81%, therefore, this method can be considered to use for better classification result.