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Articoli di riviste sul tema "Structural analysis (engineering)"

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Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 29 luglio 2024

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1

Wagenknecht, Thomas, e Jitendra Agarwal. "Structured pseudospectra in structural engineering". International Journal for Numerical Methods in Engineering 64, n. 13 (7 dicembre 2005): 1735–51. http://dx.doi.org/10.1002/nme.1414.

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2

Tosone, Carlo. "A contact problem of the structural engineering". Journal of Interdisciplinary Mathematics 5, n. 2 (gennaio 2002): 97–110. http://dx.doi.org/10.1080/09720502.2002.10700309.

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3

Panagiotou, Konstantinos D., e Konstantinos V. Spiliopoulos. "Shakedown analysis of civil engineering structural elements". Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 168, n. 3 (settembre 2015): 90–98. http://dx.doi.org/10.1680/jencm.14.00029.

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4

Panagiotou, Konstantinos D., e Konstantinos V. Spiliopoulos. "Shakedown analysis of civil engineering structural elements". Proceedings of the ICE - Engineering and Computational Mechanics 168, n. 3 (1 settembre 2015): 90–98. http://dx.doi.org/10.1680/eacm.14.00029.

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5

Adeli, H. "Artificial intelligence in structural engineering". Engineering Analysis with Boundary Elements 3, n. 3 (settembre 1986): 154–60. http://dx.doi.org/10.1016/0955-7997(86)90003-2.

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6

Tesar, Alexander, e Jozef Melcer. "Structural monitoring in advanced bridge engineering". International Journal for Numerical Methods in Engineering 74, n. 11 (2008): 1670–78. http://dx.doi.org/10.1002/nme.2224.

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7

Talja, H., H. Raiko, T. P. J. Mikkola e Z. L. Zhang. "Structural safety analysis with engineering integrity assessment tools". Computers & Structures 64, n. 1-4 (luglio 1997): 759–70. http://dx.doi.org/10.1016/s0045-7949(96)00171-x.

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8

Igusa, T., S. G. Buonopane e B. R. Ellingwood. "Bayesian analysis of uncertainty for structural engineering applications". Structural Safety 24, n. 2-4 (aprile 2002): 165–86. http://dx.doi.org/10.1016/s0167-4730(02)00023-1.

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9

Harris, D. O., C. H. Wells, S. A. Rau e D. D. Dedhia. "Engineering codes for the analysis of structural integrity". International Journal of Pressure Vessels and Piping 59, n. 1-3 (gennaio 1994): 175–83. http://dx.doi.org/10.1016/0308-0161(94)90152-x.

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10

Mahesh Kumar, Rahul Kumar Gupta, Vipin Kumar, Praveen Bhatt. "Fracture Mechanics and Fatigue Analysis in Structural Engineering". Tuijin Jishu/Journal of Propulsion Technology 44, n. 3 (28 ottobre 2023): 3056–62. http://dx.doi.org/10.52783/tjjpt.v44.i3.1279.

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Abstract (sommario):

Fatigue analysis is a critical component of structural engineering, focusing on the response of materials and structures to cyclic loading. This abstract provides a concise overview of its significance. Fatigue analysis is applied in the design and selection of materials to prevent unexpected failures, extend the life of structures, and reduce maintenance costs. It predicts fatigue life, ensuring the safe operation of structures enduring thousands of load cycles. Real-time structural health monitoring enhances safety by detecting fatigue-related damage, while insights from fatigue analysis inform the development of stronger materials. From bridge maintenance to automotive engineering, fatigue analysis underpins the reliability and safety of structures in diverse industries.

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11

Liu, Xiao. "Reliability Analysis of Engineering Structures". Applied Mechanics and Materials 333-335 (luglio 2013): 2262–65. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2262.

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Introduces the concept and content of engineering structural reliability and reliability and reliable indexes, and considering the engineering structure reliability analysis of randomness and fuzziness, the fuzzy random reliability analysis model was established

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12

Rossi, Riccardo, Massimiliano Lazzari e Renato Vitaliani. "Wind field simulation for structural engineering purposes". International Journal for Numerical Methods in Engineering 61, n. 5 (21 settembre 2004): 738–63. http://dx.doi.org/10.1002/nme.1083.

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13

Yin, Xiao Wei, Wen Xue Qian e Li Yang Xie. "Structural Analysis of Complex Aluminum Alloy Structural Component". Applied Mechanics and Materials 602-605 (agosto 2014): 49–52. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.49.

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Aluminum alloy structures are widely used in engineering practice. The advantage of aluminum alloy is light weight and corrosion resistance. For different application fields, the structures of aluminum alloy components are very different. They are typically lighter for the same strength and provide better heat conduction. As we know that do FEA (finite element analysis) is necessary before and after the alloy structures have been made. In this paper, a detail analysis was done with FEM (finite element method), and the stress distribution of alloy structures was obtained. Also the FEA results show that the maximum stress is much less than the yield stress and the stress concentration of the round is need to notice.

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14

Shrivastava, Mayank, Anthony K. Abu, Rajesh P. Dhakal, Peter J. Moss e Trevor Z. Yeow. "Probabilistic structural fire engineering using incremental fire analysis and cloud analysis". Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 173, n. 2 (giugno 2020): 47–58. http://dx.doi.org/10.1680/jencm.18.00001.

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15

McKnight, R. L. "Structural Analysis Applications". Journal of Engineering for Gas Turbines and Power 111, n. 2 (1 aprile 1989): 271–78. http://dx.doi.org/10.1115/1.3240248.

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The programs in the structural analysis area of the HOST program emphasized the generation of computer codes for performing three-dimensional inelastic analysis with more accuracy and less manpower. This paper presents the application of that technology to Aircraft Gas Turbine Engine (AGTE) components: combustors, turbine blades, and vanes. Previous limitations will be reviewed and the breakthrough technology highlighted. The synergism and spillover of the program will be demonstrated by reviewing applications to thermal barrier coatings analysis and the SSME HPFTP turbine blade. These applications show that this technology has increased the ability of the AGTE designer to be more innovative, productive, and accurate.

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16

Biondini, Fabio. "Optimal structural analysis". Structure and Infrastructure Engineering 5, n. 1 (febbraio 2009): 67. http://dx.doi.org/10.1080/15732470701817106.

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17

Javidan, Mohammad Mahdi, e Jinkoo Kim. "Fuzzy Sensitivity Analysis of Structural Performance". Sustainability 14, n. 19 (22 settembre 2022): 11974. http://dx.doi.org/10.3390/su141911974.

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Despite the versatility and widespread application of fuzzy randomness in structural and mechanical engineering, less attention has been paid to the formulation of sensitivity analysis for this uncertainty model. In this research, a brief review of the application of sensitivity analyses in structural engineering is provided, and then the concept of local sensitivity analysis is developed for the fuzzy randomness theory. Several sensitivity tests based on the classical probability theory are extended to this uncertainty model, namely, Monte Carlo simulation (MCS), tornado diagram analysis (TDA), and first-order second-moment method (FOSM). The multidisciplinary application of these methods in engineering is shown using a numerical example, a truss structure, and finally, seismic performance evaluation of a framed structure from a full-scale experimental test. The way of visualizing the results is also provided, which helps the interpretation and better understanding. The results show that the established tools can provide detailed insight into the uncertainty of fuzzy random models. The formulated fuzzy local sensitivity can show how the output uncertainty is affected by the uncertainty of input parameters and the effectiveness of each parameter on the output variability. The provided visualization technique can show variability, the fuzziness of variability, and the order of most influential parameters. Furthermore, efficient methods such as TDA and FOSM can substantially reduce the computational time compared to the MCS while providing an acceptable trade-off for accuracy.

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18

Liable, J. P., e H. Saunders. "Structural Analysis". Journal of Pressure Vessel Technology 112, n. 2 (1 maggio 1990): 190–91. http://dx.doi.org/10.1115/1.2928609.

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19

Vijayaganapathy, D., e K. Balasubramanaim. "Reverse Engineering and Structural Analysis of Radiator Fan Blades". Applied Mechanics and Materials 786 (agosto 2015): 404–8. http://dx.doi.org/10.4028/www.scientific.net/amm.786.404.

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The function of the fan is to reduce heat in the radiator where hot cooling liquid is circulated. The radiator fan blades are made up of various materials nowadays and the legacy material used is steel. This paper presents the static analysis of the radiator fan and at the outcome we analyze the failure of the entire blade taking into design consideration. The analysis of the radiator fan is executed to different types of materials to check and evaluate the material and process conditions which withstand the dynamic and structural loads. In the paper design of the blade is done through reverse engineering. The static analysis is done using ANSYS where the 3D solid model of the radiator fan is considered for structural analysis. The various loads and properties and applied through the entire length of the radiator fan. The analysis leads us to proposal of suitable material to withstand all the loads. The Fiber Reinforced Plastic (FRP) material is tested and considered.

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20

Cao, Baofei. "Computer structural model analysis and civil engineering testing technology". Journal of Computational Methods in Sciences and Engineering 19 (14 agosto 2019): 285–92. http://dx.doi.org/10.3233/jcm-191041.

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21

ZHANG, Wenqian. "Optimization Analysis of Structural Design Based on Civil Engineering". Theory and Practice of Science and Technology 1, n. 6 (2020): 19–23. http://dx.doi.org/10.47297/taposatwsp2633-456905.20200106.

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22

Xiu, Tian, Lang Yue-dong, Lai Xin-xiao e Hou Er-yong. "Structural Engineering Analysis for a Control Moment Gyroscope Framework". Journal of Physics: Conference Series 1939, n. 1 (1 maggio 2021): 012119. http://dx.doi.org/10.1088/1742-6596/1939/1/012119.

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23

Radusky, Leandro G., e Luis Serrano. "pyFoldX: enabling biomolecular analysis and engineering along structural ensembles". Bioinformatics 38, n. 8 (17 febbraio 2022): 2353–55. http://dx.doi.org/10.1093/bioinformatics/btac072.

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Abstract Summary Recent years have seen an increase in the number of structures available, not only for new proteins but also for the same protein crystallized with different molecules and proteins. While protein design software has proven to be successful in designing and modifying proteins, they can also be overly sensitive to small conformational differences between structures of the same protein. To cope with this, we introduce here pyFoldX, a python library that allows the integrative analysis of structures of the same protein using FoldX, an established forcefield and modelling software. The library offers new functionalities for handling different structures of the same protein, an improved molecular parametrization module and an easy integration with the data analysis ecosystem of the python programming language. Availability and implementation pyFoldX rely on the FoldX software for energy calculations and modelling, which can be downloaded upon registration in http://foldxsuite.crg.eu/ and its licence is free of charge for academics. The pyFoldX library is open-source. Full details on installation, tutorials covering the library functionality and the scripts used to generate the data and figures presented in this paper are available at https://github.com/leandroradusky/pyFoldX. Supplementary information Supplementary data are available at Bioinformatics online.

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24

Lui, Eric M. "Matrix Analysis of Structural Dynamics: Applications and Earthquake Engineering". Journal of Structural Engineering 127, n. 9 (settembre 2001): 1117. http://dx.doi.org/10.1061/(asce)0733-9445(2001)127:9(1117).

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25

Seko, Eugeniy V. "Optimization and the Dimensional Analysis in Structural Engineering Problems". Advanced Materials Research 945-949 (giugno 2014): 1236–41. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1236.

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this paper considers the possibility of applying the ideas of dimensional analysis in optimization problems of building structures. The mathematical formalism for this opportunity are encouraged to use the method of geometric programming. Demonstration considered optimization problem reinforced concrete slab, which is solved with the help of the program developed by the author. The possibility of obtaining as a result of optimization of analytical expressions for the economic criteria of similarity best options. Also shows the possibility of obtaining optimal solutions in analytical form for those variables in the original problem are not uniquely defined. The very ambiguity of the definition of the variables of the original problem may not be obvious, and it appears in the process of optimizing, which is one of its results.

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26

Volkman, Lauren E., Morgan R. Packer e Carla Mattos. "Engineering and Structural Analysis of a Covalent HRas Dimer". FASEB Journal 34, S1 (aprile 2020): 1. http://dx.doi.org/10.1096/fasebj.2020.34.s1.04958.

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27

Liu, Tingquan, Shuo Wang, Jing Gao e Xuejing Tian. "The energy analysis of concrete failure in structural engineering". Systems Engineering Procedia 1 (2011): 106–11. http://dx.doi.org/10.1016/j.sepro.2011.08.018.

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28

Kurasov, O. A., e P. V. Burkov. "Stochastic analysis of structural reliability of complex engineering systems". Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture 26, n. 1 (22 febbraio 2024): 108–17. http://dx.doi.org/10.31675/1607-1859-2024-26-1-108-117.

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Purpose: The assessment of risks and prediction of reliability of complex engineering systems, in particular onshore gas pipelines subjected to external corrosion. Two methods are proposed using the structural reliability analysis.Methodology: Two strategies are considered for inspection and maintenance service of hazardous production facilities.Research findings: The model of structural reliability is proposed to estimate the metal rupture from external corrosion of the pipe section. Models are presented for its mechanical failure with respect to stochastic processes of loads and resistance.Value: The inhomogeneous Poisson point process is used to simulate the formation of new defects, and the Poisson distribution is used to simulate their growth. The first method focuses on the analysis of external corrosion of gas pipelines with metal loss and predicts rupture at a reference pipe segment, constructed with respect to average pipe rupture characteristics from the PHMSA database. The second model predicts reliability for untreated sections subject to external corrosion with metal loss.

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29

Cowan, John. "Understanding structural analysis". Engineering Structures 7, n. 2 (aprile 1985): 148–49. http://dx.doi.org/10.1016/0141-0296(85)90026-4.

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30

Duchesne, D. P. J., e J. L. Humar. "Engineering software – a structural consultant's perspective". Canadian Journal of Civil Engineering 18, n. 2 (1 aprile 1991): 303–11. http://dx.doi.org/10.1139/l91-035.

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The advantages that automatic computing offers in structural analysis, design, and drafting are now well known. Computers offer great speed and accuracy in the process of analysis and design, relieving the engineer of the drudgery of number crunching, permitting more time for innovation and creativity, and affording the opportunity of trying out several design alternatives. However, to realize the productivity gains and the improvements in design quality that computers offer, the engineer must be aware of the many pitfalls and problems associated with computerization: the financial commitment, the need for training, the difficulty in obtaining quality software, and the risk associated with using unreliable software compounded by the inadvertent complacency that computer usage may encourage. This paper attempts to provide an overview of the issues involved in computerizing a structural engineer's office. The advantages and disadvantages of computerization are discussed. The additional management responsibilities that computerization brings are highlighted. The types of software usually needed in a structural office are outlined. The constituents of good software are discussed with reference to user interface, analysis and design procedures, output, documentation, and program architecture. Finally, the concept of computer integration in structural design is explained and an example if provided to illustrate the technique. Key words: structural, computer, software, consultants, buildings, integration.

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31

Gondegaon, Sangamesh, e Hari K. Voruganti. "Static Structural and Modal Analysis Using Isogeometric Analysis". Journal of Theoretical and Applied Mechanics 46, n. 4 (1 dicembre 2016): 36–75. http://dx.doi.org/10.1515/jtam-2016-0020.

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Abstract Isogeometric Analysis (IGA) is a new analysis method for unification of Computer Aided Design (CAD) and Computer Aided Engineering (CAE). With the use of NURBS basis functions for both modelling and analysis, the bottleneck of meshing is avoided and a seamless integration is achieved. The CAD and computational geometry concepts in IGA are new to the analysis community. Though, there is a steady growth of literature, details of calculations, explanations and examples are not reported. The content of the paper is complimentary to the existing literature and addresses the gaps. It includes summary of the literature, overview of the methodology, step-by-step calculations and Matlab codes for example problems in static structural and modal analysis in 1-D and 2-D. At appropriate places, comparison with the Finite Element Analysis (FEM) is also included, so that those familiar with FEM can appreciate IGA better.

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32

Wicks, P. J. "Structural analysis". Journal of Constructional Steel Research 9, n. 3 (gennaio 1988): 230–31. http://dx.doi.org/10.1016/0143-974x(88)90092-2.

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33

Vilutiene, Tatjana, Diana Kalibatiene, M. Reza Hosseini, Eugenio Pellicer e Edmundas Kazimieras Zavadskas. "Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature". Advances in Civil Engineering 2019 (25 agosto 2019): 1–19. http://dx.doi.org/10.1155/2019/5290690.

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Building information modeling (BIM) is transforming the way of work across the architecture, engineering, and construction (AEC) industry, where BIM offers vast opportunities for improving performance. BIM is therefore an area of great interest across the AEC industry in general and for the structural engineering field in particular. This paper is aimed at providing a broad picture of published papers that relate BIM with structural engineering. This overview will enhance understanding of the state of the research work on this subject, drawing upon bibliometric analysis of 369 papers. Findings provide an updated picture of how now-available studies that link BIM developments and applications in structural engineering are distributed chronologically, across journals, authors, countries, and institutions. Detailed analyses of citation networks present the cooccurrence map of keywords, citation patterns of journals and articles, the most cited journals, and the top 15 most cited articles on BIM in the area of structural engineering. Discussions demonstrate that research on BIM applications for structural engineering has been constantly growing with a sudden increase after 2014. This study reveals that research attempts on this area have been dominated by exploring generic issues of BIM like information management; however, technical issues of structural engineering, to be resolved through BIM capabilities, have remained overlooked. Moreover, the research work in this area is found to be conducted largely in isolation, comprising disjointed and fragmented research studies. Gaps and important areas for future research include modeling of structural components, automation of the assembly sequence, planning and optimization of off-site construction, and dynamic structural health monitoring.

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34

JOHNSTON, RICHARD D., e GEOFFREY W. BARTON. "Structural interaction analysis". International Journal of Control 41, n. 4 (aprile 1985): 1005–13. http://dx.doi.org/10.1080/0020718508961179.

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35

Han, Jian Qiang, Xiu Yan Fu e Yu Min Zhang. "Carbon Fiber Cloth in Structural Engineering Application". Advanced Materials Research 160-162 (novembre 2010): 146–50. http://dx.doi.org/10.4028/www.scientific.net/amr.160-162.146.

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The frame beam end uses the carbon fiber cloth restraint, then uses the steel stranded wire assembly,which is a new assembly architecture structure. This thesis studies deeply the crack development characteristics, failure pattern, hysteresis curve and the displacement ductility of prestressed precast reinforced concrete frame, by analyzing one prestressed precast reinforced concrete frame under low reversed cyclic load test. We build a model using finite element analysis software to the test piece model analysis, the analysis result agree well with the experimental results. Experimental studies indicate that assembly of prestressed reinforced concrete frame structure has a good seismic performance. This prestressed precast reinforced concrete frame is a new kind of structural system complying with the development of architectural industrialization, which is worthy of popularization and application in the earthquake area.

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36

Pradelok, Stefan, Piotr Bętkowski, Adam Rudzik e Piotr Łaziński. "Engineering modelling of structural details of a bridge". Budownictwo i Architektura 12, n. 2 (11 giugno 2013): 055–62. http://dx.doi.org/10.35784/bud-arch.2073.

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This paper presents a method of engineering modelling of structural details, which enables the analysis of local static and dynamic effects in a complex structure with the use of a personal computer. An analysed structural detail, modelled with the use of shell finite elements, is mounted to a spatial truss member system. Then, on the basis of prepared computational model, a static or dynamic analysis is carried out. The proposed model allows to detect the local effects in a theoretical. Conducted analyses confirmed the correct operation of such a computational model. Hence, the method of modelling presented in this paper allows to analyse the local effects on ordinary personal computer and more importantly, the results of such calculations are available within a relatively short period of time. The calculations are carried out by analysing the local effects in a steel node of the truss railway bridge.

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Sun , Yun, Qiuwei Yang e Xi Peng. "Structural Damage Assessment Using Multiple-Stage Dynamic Flexibility Analysis". Aerospace 9, n. 6 (29 maggio 2022): 295. http://dx.doi.org/10.3390/aerospace9060295.

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Vibration-based damage assessment technology is a hot topic in aerospace engineering, civil engineering, and mechanical engineering. In this paper, a damage assessment approach using multiple-stage dynamic flexibility analysis is proposed for structural safety monitoring. The proposed method consists of three stages. The content of Stage I is to determine the number of damaged elements in the structure by the rank of dynamic flexibility change. The content of Stage II is to determine damage locations by the minimum rank of flexibility correlation matrices. Finally, the damage extents of those damaged elements are calculated in Stage III. The proposed approach fully uses the filtering ability of matrix rank analysis for data noise. A 27-bar truss structure and a steel frame structure are used as the numerical and experimental examples to demonstrate the proposed method, respectively. From the numerical and experimental results, it is found that structure damages can be successfully identified through the multiple-stage dynamic flexibility analysis. By comparative study, the proposed method has more powerful antinoise ability and higher calculation accuracy than the generalized flexibility method. The proposed method may be a promising tool for structural damage assessment.

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Zeng, P. "Introduction to Composite Element Method for Structural Analysis in Engineering". Key Engineering Materials 145-149 (ottobre 1997): 185–90. http://dx.doi.org/10.4028/www.scientific.net/kem.145-149.185.

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Mercier, Nicolas, Nicolas Louvain e Wenhua Bi. "Structural diversity and retro-crystal engineering analysis of iodometalate hybrids". CrystEngComm 11, n. 5 (2009): 720. http://dx.doi.org/10.1039/b817891g.

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WEISS, M., e H. A. PREISIG. "Structural Analysis in the Dynamical Modelling of Chemical Engineering Systems". Mathematical and Computer Modelling of Dynamical Systems 6, n. 4 (2 dicembre 2000): 325–64. http://dx.doi.org/10.1076/mcmd.6.4.325.3656.

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41

Benin, Andrey V., e Elena V. Gorodnova. "Geotechnical Analysis of Structural Behaviour Under Complex Geological Engineering Conditions". Procedia Engineering 189 (2017): 65–69. http://dx.doi.org/10.1016/j.proeng.2017.05.011.

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42

Aitipamula, Srinivasulu, Pui Shan Chow e Reginald B. H. Tan. "Crystal Engineering of Tegafur Cocrystals: Structural Analysis and Physicochemical Properties". Crystal Growth & Design 14, n. 12 (13 novembre 2014): 6557–69. http://dx.doi.org/10.1021/cg501469r.

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43

Shrivastava, Mayank, Anthony K. Abu, Rajesh P. Dhakal e Peter J. Moss. "Severity Measures and Stripe Analysis for Probabilistic Structural Fire Engineering". Fire Technology 55, n. 4 (5 dicembre 2018): 1147–73. http://dx.doi.org/10.1007/s10694-018-0799-7.

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Zhang, Mingcheng, Kexin Zhang, Xuan Ai, Xiao Liang, Qi Zhang, Hui Chen e Xiaoxin Zou. "Theory-guided electrocatalyst engineering: From mechanism analysis to structural design". Chinese Journal of Catalysis 43, n. 12 (dicembre 2022): 2987–3018. http://dx.doi.org/10.1016/s1872-2067(22)64103-2.

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45

Fuchs, M. B. "Topological structural analysis". Structural Optimization 13, n. 2-3 (aprile 1997): 104–11. http://dx.doi.org/10.1007/bf01199228.

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46

Kuala, Seri Intan, Novita Dwi Susanti, Yusnan Hasani Siregar, Aidil Haryanto e Galih Riyan Basuki. "Engineering Design, Performance Test and Cost Analysis of Nutrition Mixer". TEKNIK 42, n. 1 (7 luglio 2020): 1–9. http://dx.doi.org/10.14710/teknik.v42i1.24800.

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Abstract (sommario):

At present mixing of nutrients in the hydroponic is still done manually (ineffective and inefficient). For that we need a tool that can mix plant nutrients equipped with a system that regulates the amount of solute (Total Dissolved Solid, TDS with ppm units) and agitator. The design consist of structural and functional, construction, testing and cost analysis. The results obtained dimensions of 0,85 m x 0,55 m x 1,55 m, consisting of a reservoir, container nutrition with a capacity of 100 liters equipped with agitators driven by a 45 watt DC motor. The performance of the electrical system is carried out to ensure adequate nutrition (indicated with TDS value) and water level in the reservoir. TDS flatness testing and nutrient temperature every 720 seconds in the range of 3600 seconds at 5 points, each has an average deviation of 1,443% + 5% and 4,9054% + 5%. Testing of planting using mixing equipment in pakcoy and spinach plants was 5,95 kg and 2,5056 kg more than without using a mixing equipment. Whereas for the analysis of the production costs of mixing equipment and obtained Rp8.981.091. In analyzing the costs of planting the difference between the market price is Rp13.273.

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47

Shrivastava, Mayank, Anthony Abu, Rajesh Dhakal e Peter Moss. "State-of-the-art of probabilistic performance based structural fire engineering". Journal of Structural Fire Engineering 10, n. 2 (10 giugno 2019): 175–92. http://dx.doi.org/10.1108/jsfe-02-2018-0005.

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Abstract (sommario):

PurposeThis paper aims to describe current trends in probabilistic structural fire engineering and provides a comprehensive summary of the state-of-the-art of performance-based structural fire engineering (PSFE).Design/methodology/approachPSFE has been introduced to overcome the limitations of current conventional design approaches used for the design of fire-exposed structures, which investigate assumed worst-case fire scenarios and include multiple thermal and structural analyses. PSFE permits buildings to be designed in relation to a level of life safety or economic loss that may occur in future fire events with the help of a probabilistic approach.FindingsThis paper brings together existing research on various sources of uncertainty in probabilistic structural fire engineering, such as elements affecting post-flashover fire development, material properties, fire models, fire severity, analysis methods and structural reliability.Originality/valuePrediction of economic loss would depend on the extent of damage, which is further dependent on the structural response. The representative prediction of structural behaviour would depend on the precise quantification of the fire hazard. The incorporation of major uncertainty sources in probabilistic structural fire engineering is explained, and the detailed description of a pioneering analysis method called incremental fire analysis is presented.

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48

Coutie, M. G. "Structural and stress analysis". Engineering Structures 19, n. 1 (gennaio 1997): 92. http://dx.doi.org/10.1016/s0141-0296(97)81457-5.

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49

Jennings, A., e T. J. A. Agar. "Fundamentals of structural analysis". Engineering Structures 17, n. 3 (aprile 1995): 233. http://dx.doi.org/10.1016/0141-0296(95)90021-7.

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50

Wang, Xuan, Zai Peng Cui, Qi Lin Zhang e Hui Zhu Yang. "Creating Structural Analysis Model from IFC-Based Structural Model". Advanced Materials Research 712-715 (giugno 2013): 901–4. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.901.

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Abstract (sommario):

In recent years, with the rapid development of the complex building structures, the lack of collaborative work platform for the information exchange between different disciplines results in the phenomenon of information gap and information isolated island. Realizing such a demand, a software was developed for supporting information transformation from IFC-format data model to structural model. In this paper, A case study was implemented to illustrate the method of structural model transformation, The results show that the software can extract the information of IFC structural model and form a corresponding structural model.

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