Relevant bibliographies by topics / Strucutural analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Strucutural analysis'

Author: Grafiati
Published: 23 September 2022
Last updated: 28 September 2022

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Journal articles on the topic "Strucutural analysis"

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Et. al., B. Vikram,. "Structural And Failure Analysis Of Jib Crane Structure." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 1S (April 11, 2021): 551–56. http://dx.doi.org/10.17762/turcomat.v12i1s.1928.

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The main objective this project to analyze the strucutural capability of jib crane for different load conditon 0.5ton, 1ton, 2ton. Jib crane designed in soild work and FEA softwarwe used for static structural anaylizes, then results of deformation, equalant strees, strain and safty factore compared for given load condition
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Song, Yan Sheng, Wei Ning Ni, and Zi Jun Li. "A Method Based on Probability Analysis for Structural Damage Early Warning." Advanced Materials Research 1079-1080 (December 2014): 386–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.386.

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Damage early warning is the first stage of strucutural health monitoring and damage detection. Abnormal offset of natural frequency can reflect structure in some degree of damage. Based on the probability analysis of frequency peak offset, this paper presents a parameter and corresponding method for structural damage early warning. With this method, it achieves damage early warning for a cable stayed bridge of structural health monitoring.
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ISHIMARU, Tomohide, and Akihiro NAKATANI. "OS0203 Micropolar Theory Analysis of Elastic Body with Internal Strucutures." Proceedings of the Materials and Mechanics Conference 2014 (2014): _OS0203–1_—_OS0203–3_. http://dx.doi.org/10.1299/jsmemm.2014._os0203-1_.

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Khafid, Muhammad, Rida Prihatni, and Ira Eva Safitri. "The Effects of Managerial Ownership, Institutional Ownership, and Profitability on Capital Structure: Firm Size as the Moderating Variable." International Journal of Financial Research 11, no. 4 (July 8, 2020): 493. http://dx.doi.org/10.5430/ijfr.v11n4p493.

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This study was to analyze the effects of managerial ownership, institutional ownership, and profitability on capital strucuture with firm size as the moderating variable. All manufacturing companies of basic industry and chemical sector listed on Indonesia Stock Exchange during the period of 2014-2017 were the population of the study. There were 66 taken as the samples by using purposive sampling technique. There were 39 companies as research samples and 115 as unit of analysis. Data were collected by documentation method. Then, data were analyzed by using descriptive statistics and inferential statistics. The results of the study indicated that managerial ownership and institutional ownership did not significantly affect capital structure, but profitability had a negative and significant effect on capital structure. Firm size did not have any moderating effect between managerial ownership and profitability on capital strucuture, but firm size moderated the effect between institutional ownership and capital structure. It was concluded that only profitability significantly influenced capital structure, and firm size was able to moderate the effect between institutional ownership and capital structure.
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Nandatama, Charaka M., Sulastri Sulastri, and Taufik Taufik. "THE ANALYSIS OF FACTORS AFFECTING THE CAPITAL STRUCTURE ON LISTED MINING COMPANIES IN INDONESIA STOCK EXCHANGE." JEMBATAN 15, no. 1 (July 31, 2018): 49–60. http://dx.doi.org/10.29259/jmbt.v15i1.5883.

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The objectives of this research are to examine the effect of Assets Growth,Likuidity, Assets Structure, and Sales Growth influence simoultaneously and partiallyon Capital Structure. Research conducted at mining companies that listed on IndonesiaStock Exchange period 2012- 2015. The research population was 41 companies, with thesample of 14 companies with sampling using purposive sampling technique. Theanalytical method used is multiple linear regression analysis, which previously testedwith the classical assumption.The result showed that the Assets Growth, Likuidity, Assets Structure and SalesGrowth influence simultaneous on the Capital Structure. The research also revealedthat, Assets Growth, Likuidity, Assets Structure and Sales Growth influence partiallynegative significant on the Capital Strucuture. On the other hand, R-Square valueamnounted at 32.6%, its mean that 32,6% movement of Capital Structure can bepredicted from the movement of the four independent variables.Keywords : capital structure, assets growth, likuidity, assets structure, sales growth
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Putri, Rachma Eka, and Wida Fadhlia. "Pengaruh Struktur Aktiva Dan Tingkat Pertumbuhan Penjualan Terhadap Struktur Modal Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia." Jurnal Dinamika Akuntansi dan Bisnis 1, no. 2 (March 1, 2014): 216–31. http://dx.doi.org/10.24815/jdab.v1i2.3633.

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The objective of this research is to examine the influence of the structure of assets and sales growth rate, both simultaneously and partially, toward the capital strucuture (empirical study on listed companies from the manufacturing sector at the Indonesia Stock Exchange). Years of observation of this research is 2008-2010. This type of research is a descriptive verificative. The data type used is secondary data gotten from the capital market reference center at the Indonesia Stock Exchange. The research method used in this research is purposive sampling method. Based on the criteria be obtained 114 companies as sample. The hypothesis is tested by using multiple linear regression analysis. The result of this research show that (1) the structure of assets and sales growth rate simultaneously have influence toward capital structure, (2) the structure of assets has positive influence toward capital structure, and (3) sales growth rate has positive influence toward capital structure.
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Takano, Yu, Ayumi Kusaka, and Haruki Nakamura. "3P014 Theoreical analysis of molecular interactions in secondary strucutures of proteins(01A. Protein: Structure,Poster,The 52nd Annual Meeting of the Biophysical Society of Japan(BSJ2014))." Seibutsu Butsuri 54, supplement1-2 (2014): S251. http://dx.doi.org/10.2142/biophys.54.s251_2.

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Intifadhah, Sahara Hamas, Vera Laviara Maghfirohtuzzoimah, Pelangi Az-zahra, Wantana Klysubun, Fahmi Astuti, Mochamad Zainuri, and Darminto Darminto. "Oxidation State analysis of LiFeSixP1-xO4/C (x = 0.06) with X-ray Absorption Near Edge Structure (XANES) in Fe K-edge and Si K-edge." Journal of Physics: Theories and Applications 5, no. 1 (March 30, 2021): 37. http://dx.doi.org/10.20961/jphystheor-appl.v5i1.51855.

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The development of LiFePO<sub>4</sub> as a cathode materials on lithium-ion battery was increased with the use of additional techniques such as atomic doping and coating. The material used in this report was LiFeSi<sub>0.06</sub>P<sub>0.94</sub>O<sub>4</sub>/C (LFP Si-6%), synthesized with doping silicon 6% and 11wt% carbon coating by a solid state method. X-ray Absorption Spectroscopy (XAS) characterization was used to investigate the effect on electronic and atomic structure of LFP Si-6%, especially in X-ray Absorption Near Edge Strucuture (XANES) region. XANES data measured on Fe K-edge and Si K-edge. Fe foil, FeO, Fe<sub>2</sub>O<sub>3</sub>, FePO<sub>4</sub>, Si powder, SiO, SiO<sub>2</sub> were used as a standard sample for comparison with the result of LFP Si-6%. XANES analysis showed that the energy absorption of Fe K-edge and Si K-edge in LFP Si-6% was 7124.94 eV and 1846.16 eV, respectively. The oxidation state of Fe was Fe<sup>2.576+</sup> between Fe<sup>2+</sup> and Fe<sup>3+</sup>, while Si was close to the estimation of Si<sup>4+</sup>. In addition, the linear combination fitting (LCF) in XANES Fe K-edge was performed to show the ratio of Fe<sup>2+</sup>/Fe<sup>3+</sup> (FeO/Fe<sub>2</sub>O<sub>3</sub>).
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Prieto, Jorge A., Gaetan Louarn, Jorge Perez Peña, Hernán Ojeda, Thierry Simonneau, and Eric Lebon. "A functional–structural plant model that simulates whole- canopy gas exchange of grapevine plants (Vitis vinifera L.) under different training systems." Annals of Botany 126, no. 4 (December 14, 2019): 647–60. http://dx.doi.org/10.1093/aob/mcz203.

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Abstract Background and Aims Scaling from single-leaf to whole-canopy photosynthesis faces several complexities related to variations in light interception and leaf properties. To evaluate the impact of canopy strucuture on gas exchange, we developed a functional–structural plant model to upscale leaf processes to the whole canopy based on leaf N content. The model integrates different models that calculate intercepted radiation, leaf traits and gas exchange for each leaf in the canopy. Our main objectives were (1) to introduce the gas exchange model developed at the plant level by integrating the leaf-level responses related to canopy structure, (2) to test the model against an independent canopy gas exchange dataset recorded on different plant architectures, and (3) to quantify the impact of intra-canopy N distribution on crop photosynthesis. Methods The model combined a 3D reconstruction of grapevine (Vitis vinifera) canopy architecture, a light interception model, and a coupled photosynthesis and stomatal conductance model that considers light-driven variations in N distribution. A portable chamber device was constructed to measure whole-plant gas exchange to validate the model outputs with data collected on different training systems. Finally, a sensitivity analysis was performed to evaluate the impact on C assimilation of different N content distributions within the canopy. Key Results By considering a non-uniform leaf N distribution within the canopy, our model accurately reproduced the daily pattern of gas exchange of different canopy architectures. The gain in photosynthesis permitted by the non-uniform compared with a theoretical uniform N distribution was about 18 %, thereby contributing to the maximization of C assimilation. By contrast, considering a maximal N content for all leaves in the canopy overestimated net CO2 exchange by 28 % when compared with the non-uniform distribution. Conclusions The model reproduced the gas exchange of plants under different training systems with a low error (10 %). It appears to be a reliable tool to evaluate the impact of a grapevine training system on water use efficiency at the plant level.
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Nikita S. Morker and Dr. V. R. Patel. "Effect of Column Shortening in Tall Structure." International Journal of Advanced Research in Science, Communication and Technology, August 5, 2022, 54–59. http://dx.doi.org/10.48175/ijarsct-5899.

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In our country population growth increses day by day, increase in the land costs to satisfy large population specially in urban cities have made a door for construction of tall buildings. To economize land area, building height increased & the construction of reinforced cement concrete structure increases, during which shortening of column is reported which is become more significant with increase in height and impact the strength design and serviceability of the building. If column shortening is not addressed properly, it can impact the serviceability of the building as it impact on structural and non structural elements. So study of shortening of column in tall structure is importanat. In this paper the effect of column shortening in tall structure, in post construction stage analysis in which all loads applied in a single step, construction stage analysis and construction stage with time dependent effect analysis in which dead load, live load are released on building gradually as the construction progresses is carried on different strucutural system like frame, frame-shear wall and tube in tube system using ETABS software. In the analysis dead load, live load, lateral load due to wind load, earthquake load should be considered. The result obtained from this study gives idea about effect of column shortening in different method of analysis with different structural system and varying height of the structure.
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Dissertations / Theses on the topic "Strucutural analysis"

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Vincente, Jose Vincente. "Development of valid models for strucutural dynamic analysis." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501542.

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Miyazaki, Yusuke. "Fundamental study on seismic behavior of hinge types of precast arch culverts in culvert longitudinal direction." Kyoto University, 2019. http://hdl.handle.net/2433/242475.

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Assali, Pierre. "Modélisation géostructurale 3D de parois rocheuses en milieu ferroviaire : application aux ouvrages en terre." Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAD009.

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Ce travail de thèse vise une optimisation des méthodologies de modélisation géostructurale, permettant d'aboutir à une meilleure gestion des aléas rocheux affectant le système ferroviaire. La caractérisation géométrique des massifs rocheux est entreprise grâce à une classification des modèles en sous-ensembles correspondant aux principales familles de discontinuités. En parallèle de cette caractérisation automatisée, une seconde approche dite manuelle a été examinée. Cette approche combine données tridimensionnelles (nuages de points denses) et support photographique (images 2D). Les données sur les discontinuités planaires, traditionnellement acquises manuellement en certains points nécessairement accessibles du massif, résultent désormais de l'analyse des modèles couvrant l'ensemble de l'ouvrage. Ce projet a permis le développement d'un outil de modélisation améliorant la connaissance du patrimoine rocheux sans engager la sécurité du personnel, ni la capacité de la ligne ferroviaire
This project aims at an optimization of geostructural modeling methodolgies, leading to a better knowledge and a better management of the rock risk impacting the railway system. Acquired 3D models are exploited in order ton convert 3D point clouds into geostructural analysis. Hence, we have developed a semi-automatic process that allows 3D models to be combined with the results of field surveys in order to provide more precise analyses of rock faces, for example, by classifying rock discontinuities into subsets according to their orientation. A second approach is proposed, combining both 3D point clouds (from LiDAR or image matching) and 2D digital images. Combining these high-quality data with the proposed automatic and manual processing method greatly improves the geometrical analysis of rock faces, increases the reliability of structural interpretations, and enables reinforcement procedures to be optimized
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Book chapters on the topic "Strucutural analysis"

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Domínguez, Trinidad, Noelia Araújo, Jose Antonio Fraiz, and Elisa Alén. "Tourism Search and Metasearch Engines for Online Booking." In Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry, 67–97. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1054-3.ch003.

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This chapter aims to analyze the different tourism search and metasearch engines for online booking based on supplier perspective (accommodation, flights, leisure and package deals) and taking into account the possible relations generated by the structure and content variables of web offers. A literature review is carried out to study user experience and provide greater in-depth knowledge which will, in turn, in addition to observation of online booking, trends, data, and profile and user preferences. With this information, the study establishes the main attributes of strucuture and offer content of webs focused on the user preferences. The empirical analysis is based on a representative sample of e-commerce of tourism websites, its main characteristics and possible correlations according to the structure and content of their offers. Based on this, the work identifies competitive advantages that will set the trends for the sector and future short-term strategies.
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Conference papers on the topic "Strucutural analysis"

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Hirano, S., and S. Tsumoto. "Strucutural Comparison and Cluster Analysis of Time-Series Medical Data." In The International Conference on System, Man and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icsmc.2005.1571360.

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