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1

Wagenknecht, Thomas, and Jitendra Agarwal. "Structured pseudospectra in structural engineering." International Journal for Numerical Methods in Engineering 64, no. 13 (December 7, 2005): 1735–51. http://dx.doi.org/10.1002/nme.1414.

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2

Adeli, H. "Artificial intelligence in structural engineering." Engineering Analysis with Boundary Elements 3, no. 3 (September 1986): 154–60. http://dx.doi.org/10.1016/0955-7997(86)90003-2.

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3

Tesar, Alexander, and Jozef Melcer. "Structural monitoring in advanced bridge engineering." International Journal for Numerical Methods in Engineering 74, no. 11 (2008): 1670–78. http://dx.doi.org/10.1002/nme.2224.

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4

Panagiotou, Konstantinos D., and Konstantinos V. Spiliopoulos. "Shakedown analysis of civil engineering structural elements." Proceedings of the ICE - Engineering and Computational Mechanics 168, no. 3 (September 1, 2015): 90–98. http://dx.doi.org/10.1680/eacm.14.00029.

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Panagiotou, Konstantinos D., and Konstantinos V. Spiliopoulos. "Shakedown analysis of civil engineering structural elements." Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 168, no. 3 (September 2015): 90–98. http://dx.doi.org/10.1680/jencm.14.00029.

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6

Tosone, Carlo. "A contact problem of the structural engineering." Journal of Interdisciplinary Mathematics 5, no. 2 (January 2002): 97–110. http://dx.doi.org/10.1080/09720502.2002.10700309.

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7

Rossi, Riccardo, Massimiliano Lazzari, and Renato Vitaliani. "Wind field simulation for structural engineering purposes." International Journal for Numerical Methods in Engineering 61, no. 5 (September 21, 2004): 738–63. http://dx.doi.org/10.1002/nme.1083.

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8

Duchesne, D. P. J., and J. L. Humar. "Engineering software – a structural consultant's perspective." Canadian Journal of Civil Engineering 18, no. 2 (April 1, 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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Igusa, T., S. G. Buonopane, and B. R. Ellingwood. "Bayesian analysis of uncertainty for structural engineering applications." Structural Safety 24, no. 2-4 (April 2002): 165–86. http://dx.doi.org/10.1016/s0167-4730(02)00023-1.

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10

Talja, H., H. Raiko, T. P. J. Mikkola, and Z. L. Zhang. "Structural safety analysis with engineering integrity assessment tools." Computers & Structures 64, no. 1-4 (July 1997): 759–70. http://dx.doi.org/10.1016/s0045-7949(96)00171-x.

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11

Harris, D. O., C. H. Wells, S. A. Rau, and D. D. Dedhia. "Engineering codes for the analysis of structural integrity." International Journal of Pressure Vessels and Piping 59, no. 1-3 (January 1994): 175–83. http://dx.doi.org/10.1016/0308-0161(94)90152-x.

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12

Nonlinear Analysis Division of Subc. "NONLINEAR NUMERICAL ANALYSES IN STRUCTURAL ENGINEERING." Doboku Gakkai Ronbunshu, no. 404 (1989): 11–21. http://dx.doi.org/10.2208/jscej.1989.404_11.

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13

Han, Jian Qiang, Xiu Yan Fu, and Yu Min Zhang. "Carbon Fiber Cloth in Structural Engineering Application." Advanced Materials Research 160-162 (November 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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14

Yin, Xiao Wei, Wen Xue Qian, and Li Yang Xie. "Structural Analysis of Complex Aluminum Alloy Structural Component." Applied Mechanics and Materials 602-605 (August 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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15

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

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16

Seko, Eugeniy V. "Optimization and the Dimensional Analysis in Structural Engineering Problems." Advanced Materials Research 945-949 (June 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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Liu, Tingquan, Shuo Wang, Jing Gao, and 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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18

Vijayaganapathy, D., and K. Balasubramanaim. "Reverse Engineering and Structural Analysis of Radiator Fan Blades." Applied Mechanics and Materials 786 (August 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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19

Lui, Eric M. "Matrix Analysis of Structural Dynamics: Applications and Earthquake Engineering." Journal of Structural Engineering 127, no. 9 (September 2001): 1117. http://dx.doi.org/10.1061/(asce)0733-9445(2001)127:9(1117).

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

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21

Xiu, Tian, Lang Yue-dong, Lai Xin-xiao, and Hou Er-yong. "Structural Engineering Analysis for a Control Moment Gyroscope Framework." Journal of Physics: Conference Series 1939, no. 1 (May 1, 2021): 012119. http://dx.doi.org/10.1088/1742-6596/1939/1/012119.

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22

Liu, Xiao. "Reliability Analysis of Engineering Structures." Applied Mechanics and Materials 333-335 (July 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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23

Pradelok, Stefan, Piotr Bętkowski, Adam Rudzik, and Piotr Łaziński. "Engineering modelling of structural details of a bridge." Budownictwo i Architektura 12, no. 2 (June 11, 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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24

McKnight, R. L. "Structural Analysis Applications." Journal of Engineering for Gas Turbines and Power 111, no. 2 (April 1, 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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25

Shrivastava, Mayank, Anthony K. Abu, Rajesh P. Dhakal, Peter J. Moss, and 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, no. 2 (June 2020): 47–58. http://dx.doi.org/10.1680/jencm.18.00001.

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26

Biondini, Fabio. "Optimal structural analysis." Structure and Infrastructure Engineering 5, no. 1 (February 2009): 67. http://dx.doi.org/10.1080/15732470701817106.

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27

Vilutiene, Tatjana, Diana Kalibatiene, M. Reza Hosseini, Eugenio Pellicer, and Edmundas Kazimieras Zavadskas. "Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature." Advances in Civil Engineering 2019 (August 25, 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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28

Shrivastava, Mayank, Anthony Abu, Rajesh Dhakal, and Peter Moss. "State-of-the-art of probabilistic performance based structural fire engineering." Journal of Structural Fire Engineering 10, no. 2 (June 10, 2019): 175–92. http://dx.doi.org/10.1108/jsfe-02-2018-0005.

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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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Ciotta, Vittoria, Domenico Asprone, Gaetano Manfredi, and Edoardo Cosenza. "Building Information Modelling in Structural Engineering: A Qualitative Literature Review." CivilEng 2, no. 3 (September 4, 2021): 765–93. http://dx.doi.org/10.3390/civileng2030042.

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Over the past decade, the fields of civil engineering, i.e., structural engineering, have increasingly used the building information modelling (BIM) approach in both professional practice and as the focus of research. However, the field of structural engineering, which can be seen as a sub-discipline of civil engineering, misses, as far as the authors are aware, a real state-of-the-art on the use of BIM in this regard. The aim of this paper, therefore, is to start bridging that gap. In particular, the authors have conducted a traditional literature review on the utilisation of BIM in structural engineering, enabling them to perform a detailed content analysis of publications. The qualitative investigation of the literature that the authors have conducted has highlighted six main BIM uses in structural engineering: (1) structural analyses; (2) production of shop drawings; (3) optimized structural design, early identification of constructability issues, and a comparison of different structural solutions; (4) seismic risk assessments; (5) existing-condition modelling and retrofitting of structures; and (6) structural health monitoring. Each of these is discussed in relation to their reference workflows; use of information models; information exchanges; and main limitations. In the conclusions, the authors identify current gaps in knowledge, as well as likely developments and improvements in the utilization of BIM in structural engineering. The authors also outline the possible significance of this work more broadly.
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Zeng, P. "Introduction to Composite Element Method for Structural Analysis in Engineering." Key Engineering Materials 145-149 (October 1997): 185–90. http://dx.doi.org/10.4028/www.scientific.net/kem.145-149.185.

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31

Aitipamula, Srinivasulu, Pui Shan Chow, and Reginald B. H. Tan. "Crystal Engineering of Tegafur Cocrystals: Structural Analysis and Physicochemical Properties." Crystal Growth & Design 14, no. 12 (November 13, 2014): 6557–69. http://dx.doi.org/10.1021/cg501469r.

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32

Benin, Andrey V., and 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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33

Mercier, Nicolas, Nicolas Louvain, and Wenhua Bi. "Structural diversity and retro-crystal engineering analysis of iodometalate hybrids." CrystEngComm 11, no. 5 (2009): 720. http://dx.doi.org/10.1039/b817891g.

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34

WEISS, M., and H. A. PREISIG. "Structural Analysis in the Dynamical Modelling of Chemical Engineering Systems." Mathematical and Computer Modelling of Dynamical Systems 6, no. 4 (December 2, 2000): 325–64. http://dx.doi.org/10.1076/mcmd.6.4.325.3656.

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35

Shrivastava, Mayank, Anthony K. Abu, Rajesh P. Dhakal, and Peter J. Moss. "Severity Measures and Stripe Analysis for Probabilistic Structural Fire Engineering." Fire Technology 55, no. 4 (December 5, 2018): 1147–73. http://dx.doi.org/10.1007/s10694-018-0799-7.

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36

Mei, Linfeng, and Qian Wang. "Structural Optimization in Civil Engineering: A Literature Review." Buildings 11, no. 2 (February 13, 2021): 66. http://dx.doi.org/10.3390/buildings11020066.

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Since tremendous resources are consumed in the architecture, engineering, and construction (AEC) industry, the sustainability and efficiency in this field have received increasing concern in the past few decades. With the advent and development of computational tools and information technologies, structural optimization based on mathematical computation has become one of the most commonly used methods for the sustainable and efficient design in the field of civil engineering. However, despite the wide attention of researchers, there has not been a critical review of the recent research progresses on structural optimization yet. Therefore, the main objective of this paper is to comprehensively review the previous research on structural optimization, provide a thorough analysis on the optimization objectives and their temporal and spatial trends, optimization process, and summarize the current research limitations and recommendations of future work. The paper first introduces the significance of sustainability and efficiency in the AEC industry as well as the background of this review work. Then, relevant articles are retrieved and selected, followed by a statistical analysis of the selected articles. Thereafter, the selected articles are analyzed regarding the optimization objectives and their temporal and spatial trends. The four major steps in the structural optimization process, including structural analysis and modelling, formulation of optimization problems, optimization techniques, and computational tools and design platforms, are also reviewed and discussed in detail based on the collected articles. Finally, research gaps of the current works and potential directions of future works are proposed. This paper critically reviews the achievements and limitations of the current research on structural optimization, which provide guidelines for future research on structural optimization in the field of civil engineering.
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37

Cowan, John. "Understanding structural analysis." Engineering Structures 7, no. 2 (April 1985): 148–49. http://dx.doi.org/10.1016/0141-0296(85)90026-4.

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38

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

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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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39

Liable, J. P., and H. Saunders. "Structural Analysis." Journal of Pressure Vessel Technology 112, no. 2 (May 1, 1990): 190–91. http://dx.doi.org/10.1115/1.2928609.

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40

Waegter, J., K. B. Olsen, and K. A. Sorensen. "Structural Engineering Aspects of the STAR Platform." Journal of Offshore Mechanics and Arctic Engineering 114, no. 4 (November 1, 1992): 272–77. http://dx.doi.org/10.1115/1.2919980.

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Based on the economic frames of the late eighties, the general urge to develop cheap and small platforms for marginal fields is outlined. Through a case story covering main aspects of the structural development and design of the STAR platforms, originated by Mærsk Olie og Gas AS, it is demonstrated how a new, cheap jackup installed platform type has been developed for shallow Danish North Sea conditions. Due to the platform’s relatively slender layout, it is more susceptible to dynamic loads than traditional jackets. Therefore, special investigations have been carried out for ship impact, fatigue, vortex shedding and pile driving-induced vibrations. Both the approach chosen for the analyses and design, as well as typical results, have been included. Finally, the present record of this new platform has been given.
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Parpinelli, Rafael S., Fábio R. Teodoro, and Heitor S. Lopes. "A comparison of swarm intelligence algorithms for structural engineering optimization." International Journal for Numerical Methods in Engineering 91, no. 6 (May 30, 2012): 666–84. http://dx.doi.org/10.1002/nme.4295.

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McDermid, J. A. "Structural Engineering and Software: Certainty, Uncertainty and Probability." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 209, no. 4 (December 1995): 307–11. http://dx.doi.org/10.1243/pime_proc_1995_209_305_02.

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The design of any engineering artefact for use in a safety critical application should be subject to safety analysis; this applies inter alia to physical structures and software. It is often stated that software is different to other engineered artefacts because it does not degrade in any physical sense, with use or the passage of time, and it is prone to design error much more than physical systems, as much of the complexity in a system often ‘resides’ in the software. However, in assessing software and physical structures one has certainty on some issues, but there is a need to deal with probability and uncertainty with regard to others. The aim of this paper is to draw out the analogies and distinctions between the software and structural engineering disciplines, focusing on certainty, uncertainty and probability in the assessment process.
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43

Wicks, P. J. "Structural analysis." Journal of Constructional Steel Research 9, no. 3 (January 1988): 230–31. http://dx.doi.org/10.1016/0143-974x(88)90092-2.

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44

Gondegaon, Sangamesh, and Hari K. Voruganti. "Static Structural and Modal Analysis Using Isogeometric Analysis." Journal of Theoretical and Applied Mechanics 46, no. 4 (December 1, 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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Chen, Shao Hui, Han Wu, and Xiao Chuang Peng. "The Detection, Identification and Structural Analysis of the Steel Structure Engineering." Applied Mechanics and Materials 275-277 (January 2013): 1062–65. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.1062.

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This paper is aimed to a steel structure needed to add layer of this situation, the structure of the overall appraisal. On the basis of testing application SAP2000 and PKPM respectively on the existing structure and add layer structure of the theory analysis and conclusion: the existing structure various indexes meet the standard, except member slenderness ratio; Add layer structure of the torsion effect is abate, overall stability problems etc. The appraisal and analysis of project will be for the future similar project to provide some reference.
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Van der Auweraer, Herman, and Bart Peeters. "Experimental modal analysis for structural dynamics and vibro‐acoustics design engineering." Journal of the Acoustical Society of America 118, no. 3 (September 2005): 1928. http://dx.doi.org/10.1121/1.4780700.

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47

Brnic, J., M. Canadija, G. Turkalj, and D. Lanc. "Finite-element modelling and shear stress analysis of engineering structural elements." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 222, no. 6 (June 2008): 861–72. http://dx.doi.org/10.1243/09544100jaero296.

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48

Bergmeister, K., D. Novák, R. Pukl, and V. Červenka. "Structural assessment and reliability analysis for existing engineering structures, theoretical background." Structure and Infrastructure Engineering 5, no. 4 (August 2009): 267–75. http://dx.doi.org/10.1080/15732470601185612.

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49

Luginina, Aleksandra, Anastasiia Gusach, Valentin Borshchevskiy, and Alexey Mishin. "Abstract P-6: G-Protein Coupled Receptors Engineering for Structural Analysis." International Journal of Biomedicine 9, Suppl_1 (June 29, 2019): S19. http://dx.doi.org/10.21103/ijbm.9.suppl_1.p6.

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50

Anwar, Ayisha, and S. Adarsh. "A Review on Fractal Analysis and its Applications in Structural Engineering." IOP Conference Series: Materials Science and Engineering 936 (October 10, 2020): 012034. http://dx.doi.org/10.1088/1757-899x/936/1/012034.

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