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Relevant bibliographies by topics / Structural topology/design

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Academic literature on the topic 'Structural topology/design'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Structural topology/design"

1

Min, Seung Jae, and Seung Hyun Bang. "Structural Topology Design Considering Reliability." Key Engineering Materials 297-300 (November 2005): 1901–6. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.1901.

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In the design optimization process design variables are selected in the deterministic way though those have uncertainties in nature. To consider variances in design variables reliability-based design optimization problem is formulated by introducing the probability distribution function. The concept of reliability has been applied to the topology optimization based on a reliability index approach or a performance measure approach. Since these approaches, called double-loop singlevariable approach, requires the nested optimization problem to obtain the most probable point in the probabilistic design domain, the time for the entire process makes the practical use infeasible. In this work, new reliability-based topology optimization method is proposed by utilizing single-loop singlevariable approach, which approximates searching the most probable point analytically, to reduce the time cost and dealing with several constraints to handle practical design requirements. The density method in topology optimization including SLP (Sequential Linear Programming) algorithm is implemented with object-oriented programming. To examine uncertainties in the topology design of a structure, the modulus of elasticity of the material and applied loadings are considered as probabilistic design variables. The results of a design example show that the proposed method provides efficiency curtailing the time for the optimization process and accuracy satisfying the specified reliability.

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Lewiński, T., S. Czarnecki, G. Dzierżanowski, and T. Sokół. "Topology optimization in structural mechanics." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 1 (March 1, 2013): 23–37. http://dx.doi.org/10.2478/bpasts-2013-0002.

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Abstract Optimization of structural topology, called briefly: topology optimization, is a relatively new branch of structural optimization. Its aim is to create optimal structures, instead of correcting the dimensions or changing the shapes of initial designs. For being able to create the structure, one should have a possibility to handle the members of zero stiffness or admit the material of singular constitutive properties, i.e. void. In the present paper, four fundamental problems of topology optimization are discussed: Michell’s structures, two-material layout problem in light of the relaxation by homogenization theory, optimal shape design and the free material design. Their features are disclosed by presenting results for selected problems concerning the same feasible domain, boundary conditions and applied loading. This discussion provides a short introduction into current topics of topology optimization

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Jakiela, Mark J., Colin Chapman, James Duda, Adenike Adewuya, and Kazuhiro Saitou. "Continuum structural topology design with genetic algorithms." Computer Methods in Applied Mechanics and Engineering 186, no. 2-4 (June 2000): 339–56. http://dx.doi.org/10.1016/s0045-7825(99)00390-4.

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Li, Qing, Grant P. Steven, Osvaldo M. Querin, and Y. M. Xie. "Structural topology design with multiple thermal criteria." Engineering Computations 17, no. 6 (September 2000): 715–34. http://dx.doi.org/10.1108/02644400010340642.

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Lee, Eun-Hyung, and Jaegyun Park. "Structural design using topology and shape optimization." Structural Engineering and Mechanics 38, no. 4 (May 25, 2011): 517–27. http://dx.doi.org/10.12989/sem.2011.38.4.517.

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Zhu, Ji-Hong, Yu Li, Wei-Hong Zhang, and Jie Hou. "Shape preserving design with structural topology optimization." Structural and Multidisciplinary Optimization 53, no. 4 (November 28, 2015): 893–906. http://dx.doi.org/10.1007/s00158-015-1364-3.

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Chapman, C. D., and M. J. Jakiela. "Genetic Algorithm-Based Structural Topology Design With Compliance and Topology Simplification Considerations." Journal of Mechanical Design 118, no. 1 (March 1, 1996): 89–98. http://dx.doi.org/10.1115/1.2826862.

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The genetic algorithm (GA), an optimization technique based on the theory of natural selection, is applied to structural topology design problems. After reviewing the genetic algorithm and previous research in structural topology optimization, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article first compares our genetic-algorithm-based technique with homogenization methods in the minimization of a structure’s compliance subject to a maximum volume constraint. We then use our technique to generate topologies combining high structural performance with a variety of material connectivity characteristics which arise directly from our discretized design representation. After discussing our findings, we describe potential future work.

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Xiong, Yulin, Dingwen Bao, Xin Yan, Tao Xu, and Yi Min Xie. "Lessons Learnt from a National Competition on Structural Optimization and Additive Manufacturing." Current Chinese Science 1, no. 1 (December 23, 2020): 151–59. http://dx.doi.org/10.2174/2666001601999201006191103.

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Background:: As an advanced design technique, topology optimization has received much attention over the past three decades. Topology optimization aims at finding an optimal material distribution in order to maximize the structural performance while satisfying certain constraints. It is a useful tool for the conceptional design. At the same time, additive manufacturing technologies have provided unprecedented opportunities to fabricate intricate shapes generated by topology optimization. Objective:: To design a highly efficient structure using topology optimization and to fabricate it using additive manufacturing. Method:: The bi-directional evolutionary structural optimization (BESO) technique provides the conceptional design, and the topology-optimized result is post-processed to obtain smooth structural boundaries. Results:: We have achieved a highly efficient and elegant structural design which won the first prize in a national competition in China on design optimization and additive manufacturing. Conclusion:: In this paper, we present an effective topology optimization approach to maximize the structural load-bearing capacity and establish a procedure to achieve efficient and elegant structural designs. : In the loading test of the final competition, our design carried the highest loading and won the first prize in the competition, which demonstrates the capability of BESO in engineering applications.

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Jaafer, Abdulkhaliq A., Mustafa Al-Bazoon, and Abbas O. Dawood. "Structural Topology Design Optimization Using the Binary Bat Algorithm." Applied Sciences 10, no. 4 (February 21, 2020): 1481. http://dx.doi.org/10.3390/app10041481.

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In this study, the binary bat algorithm (BBA) for structural topology optimization is implemented. The problem is to find the stiffest structure using a certain amount of material and some constraints using the bit-array representation method. A new filtering algorithm is proposed to make BBA find designs with no separated objects, no checkerboard patterns, less unusable material, and higher structural performance. A volition penalty function for topology optimization is also proposed to accelerate the convergence toward the optimal design. The main effect of using the BBA lies in the fact that the BBA is able to handle a large number of design variables in comparison with other well-known metaheuristic algorithms. Based on the numerical results of four benchmark problems in structural topology optimization for minimum compliance, the following conclusions are made: (1) The BBA with the proposed filtering algorithm and penalty function are effective in solving large-scale numerical topology optimization problems (fine finite elements mesh). (2) The proposed algorithm produces solid-void designs without gray areas, which makes them practical solutions that are applicable in manufacturing.

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Wang, Yong, Guo Niu Zhu, and Zheng Wei Zhu. "Structural Topology Optimization for Street Lamp Bracket." Key Engineering Materials 464 (January 2011): 655–59. http://dx.doi.org/10.4028/www.scientific.net/kem.464.655.

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Structural topology optimization has got a general acceptance in recent years in mechanical design due to its powerful technique for conceptual design. The shortcoming of current development process of mechanical design is discussed and a new approach with structural topology optimization is put forward. The application of the method demonstrates that through innovative utilization of the topology optimization techniques, a multitude of conceptual design proposals based on the design space and design targets can be obtained and then a CAD model with high quality which has a positive impact on the development process is also available.

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Dissertations / Theses on the topic "Structural topology/design"

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Deaton, Joshua D. "Design of Thermal Structures using Topology Optimization." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401302982.

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Lu, Bodi. "Conceptual design using multilevel continuum structural topology optimization." Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/4685.

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Continuum topology optimization is a mathematical/computational method to find optimal conceptual structural designs for given loads and boundary conditions. To provide realistic design solutions for structures such as long-span bridges, the method must deal with sparse structures on large, finely meshed domains. Consequently, the method can be very computationally intensive. In this study we attempt to reduce the computational intensity by applying both a multi-level refinement method and an analysis problem size reduction technique. The proposed techniques are found in this study to reduce the computational effort required by a factor of about 3. To make sure that design solutions obtained with the proposed methods are both constructible and convergent with mesh refinement, a perimeter control method is employed in this framework. Besides, analysis is made on both structural layout and objective function curve diagram during optimization process.

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Rawat, Sharad. "DEEP LEARNING BASED FRAMEWORK FOR STRUCTURAL TOPOLOGY DESIGN." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1559560543458263.

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Wang, Jingwen M. Eng Massachusetts Institute of Technology. "Trabecular topology : computational structural design inspired by bone remodeling." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111530.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-60).
Bone remodeling is the process by which the internal morphology of bones in a healthy person or animal will adapt to the loads under which it is placed. This process makes bone stronger and performs better under daily loadings. It also gives a special topology to the trabecular bone. This thesis proposes a new computational structural design approach inspired by the trabecular bone topology and remodeling process and it can be applied to the 2D, 3D and building-scale structures. It reveals the importance of the connectivity in the structures and provides a innovative bio-inspired method for the future structural topology design.
by Jingwen Wang.
M. Eng.

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Wang, Lyang Suan. "Automating Parametric Redesign of Structural Thin-Walled Frames Based On Topology Optimized Structure." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu156618342438725.

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Ciftci, Erhan. "Evolutionary Algorithms In Design." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12607983/index.pdf.

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Evolutionary Structural Optimization (ESO) is a relatively new design tool used to improve and optimise the design of structures. In this method, a few elements of an initial design domain of finite elements are iteratively removed. Such a process is carried out repeatedly until an optimum design is achieved, or until a desired given area or volume is reached. In structural design, there is the demand for the development of design tools and methods that includes optimization. This need is the reason behind the development of methods like Evolutionary Structural Optimization (ESO). It is also this demand that this thesis seeks to satisfy. This thesis develops and examines the program named EVO, with the concept of structural optimization in the ESO process. Taking into account the stiffness and stress constraints, EVO allows a realistic and accurate approach to optimising a model in any given environment. Finally, in verifying the ESO algorithm&rsquo
s and EVO program&rsquo
s usefulness to the practical aspect of design, the work presented herein applies the ESO method to case studies. They concern the optimization of 2-D frames, and the optimization of 3-D spatial frames and beams with the prepared program EVO. Comparisons of these optimised models are then made to those that exist in literature.

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Muir, Martin James. "Superior structural design through automated topology optimization and advanced manufacturing." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/21920/.

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Challenging times lie ahead for commercial aerospace, facing regulatory pressure to reduce emissions on one side and the potential of increased competition on the other, a continuation of the business and engineering philosophies which led to such a healthy orderbook in the past, cannot be guaranteed for the future – substantial, disruptive change is required. Additive Manufacturing (AM) and Topology Optimization (TO) are two technologies under investigation by Airbus and others which have promised to deliver such change. Problematically, both are expert level technologies with enormous complexities and thus their application is commonly applied only where justification of such skills for such lengths of time can be considered to be economically viable. However, whilst there are indeed gains to be had in such large, complex structures, their numbers on commercial aircraft are few. Conversely, there are literally thousands of small, heavy, metallic components which would benefit from the application of these technologies if the cost of technology application could be reduced. The aim of this research is to deskill the application of TO and AM by automating the process of TO specific to manufacturing via AM and thus reduce the cost of its implementation and increase the practicality of its application. Through a survey of the Airbus user community, a standardised series of tools, inputs, outputs and process was developed, culminating in an analysis of time consumed during a series of optimization tasks. From this list of tasks and the time lost to each, a series of targets for automation were identified and researched. Using a series of interconnected codes and scripts, pre-processing phases such as design space creation, meshing and loading application were automated and applied to a common FEM template. Within this template, generic material and geometric capability figures for AM Ti64 Grade 5 were established via bespoke testing on a range of AM platforms under common parameters and builds. After this, methods for automated design extraction back to parametric CAD were investigated and performed, establishing a direct link between the FEM and the output CAD to enable rapid design development. The combined series of automation steps leads to an almost 75% reduction in total non-recurring cost for optimization and design of small components. Whilst not, as yet, wholly industrialised and implemented within Airbus, research from the early phases is now in use for MDO tools within Airbus and Airbus Group.

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Kaveh, Mohammad. "Topological optimization of rigidly jointed space frames." Thesis, Cardiff University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238227.

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Peto, Marinela. "Topology and Lattice-Based Structural Design Optimization for Additively Manufactured Medical Implants." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505245/.

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Topology-based optimization techniques and lattice structures are powerful ways to accomplish lightweight components with enhanced mechanical performance. Recent developments in additive manufacturing (AM) have led the way to extraordinary opportunities in realizing complex designs that are derived from topology and lattice-based structural optimization. The main aim of this work is to give a contribution, in the integration between structural optimization techniques and AM, by proposing a setup of a proper methodology for rapid development of optimized medical implants addressing oseeointegration and minimization of stress shielding related problems. The validity of the proposed methodology for a proof of concept was demonstrated in two real-world case studies: a tibia intramedullary implant and a shoulder hemi prosthetics for two bone cancer patients. The optimization was achieved using topology optimization and replacement of solid volumes by lattice structures. Samples of three lattice unit cell configurations were designed, fabricated, mechanically tested, and compared to select the most proper configuration for the shoulder hemi prosthesis. Weight reductions of 30% and 15% were achieved from the optimization of the initial design of the tibia intramedullary implant and the shoulder hemiprosthesis respectively compared to initial designs. Prototypes were fabricated using selective laser melting (SLM) and direct light processing (DLP) technologies. Validation analysis was performed using finite element analysis and compressive mechanical testing. Future work recommendations are provided for further development and improvement of the work presented in this thesis.

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Noguchi, Yuki. "An optimum structural design methodology for acoustic metamaterials using topology optimization." Kyoto University, 2019. http://hdl.handle.net/2433/242492.

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Books on the topic "Structural topology/design"

1

Bendsøe, Martin P., and Carlos A. Mota Soares. Topology design of structures. Dordrecht: Springer, 1993.

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2

Tarczewski, Romuald. Topologia form strukturalnych: Naturalne i tworzone przez człowieka prototypy form konstrukcyjnych w architekturze = Topology of structural forms. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2011.

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3

P, Bendsøe Martin, Olhoff Niels, Sigmund O. 1966-, and International Union of Theoretical and Applied Mechanics., eds. IUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials: Status and perspectives. Dordrecht: Springer, 2006.

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4

Seireg, Ali. Optimizing the shape of mechanical elements and structures. New York: M. Dekker, 1996.

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Bendsøe, Martin Philip, and Carlos A. Mota Soares, eds. Topology Design of Structures. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1804-0.

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6

Anthony, Maxwell, ed. DNA topology. Oxford: IRL Press at Oxford University Press, 1993.

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P, Bendsøe Martin, Soares, Carlos A. Mota, 1945-, and NATO Advanced Research Workshop on Topology Design of Structures (1992 : Sezimbra, Portugal), eds. Topology design of structures. Dordrecht: Kluwer Academic Publishers, 1993.

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8

Zhang, Weihong, Tong Gao, and Jihong Zhu. Topology Optimization in Engineering Structure Design. Elsevier, 2016.

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9

James, Kai. Optimal structural topology design for multiple load cases with stress constraints. 2006.

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10

(Editor), Martin P. Bendsøe, and Carlos A. Mota Soares (Editor), eds. Topology Design of Structures (NATO Science Series E: (closed)). Springer, 1992.

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Book chapters on the topic "Structural topology/design"

1

Papalambros, P. Y., and M. Chirehdast. "Integrated Structural Optimization System." In Topology Design of Structures, 501–14. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1804-0_35.

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2

Min, Seung Jae, and Seung Hyun Bang. "Structural Topology Design Considering Reliability." In Key Engineering Materials, 1901–6. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-978-4.1901.

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3

Hajela, P., E. Lee, and C. Y. Lin. "Genetic Algorithms in Structural Topology Optimization." In Topology Design of Structures, 117–33. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1804-0_10.

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4

Bendsøe, Martin P. "Extensions of topology design methodologies." In Optimization of Structural Topology, Shape, and Material, 181–226. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03115-5_6.

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Bendsøe, Martin P. "Topology design of truss structures." In Optimization of Structural Topology, Shape, and Material, 139–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03115-5_5.

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Bendsøe, Martin P. "The homogenization approach to topology design." In Optimization of Structural Topology, Shape, and Material, 5–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03115-5_2.

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Kikuchi, Noboru, Hsien-Chie Cheng, and Zheng-Dong Ma. "Optimal Shape and Topology Design of Vibrating Structures." In Advances in Structural Optimization, 189–222. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0453-1_6.

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Liu, Jikai, and Yongsheng Ma. "Design History Retrieval Based Structural Topology Optimization." In Lecture Notes in Computer Science, 262–70. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26181-2_25.

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Olhoff, N., M. P. Bendsøe, and J. Rasmussen. "CAD-Integrated Structural Topology and Design Optimization." In Shape and Layout Optimization of Structural Systems and Optimality Criteria Methods, 171–97. Vienna: Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-2788-9_11.

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Rozvany, G. I. N. "What is Meaningful in Topology Design? An Engineer’s Viewpoint." In Advances in Structural Optimization, 149–88. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0453-1_5.

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Conference papers on the topic "Structural topology/design"

1

SANKARANARAYANAN, S., RAPHAEL HAFTKA, and RAKESH KAPANIA. "Truss topology optimization with simultaneous analysis and design." In 33rd Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2315.

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BENDSOE, MARTIN, AHARON BEN-TAL, and RAPHAEL HAFTKA. "New displacement-based methods for optimal truss topology design." In 32nd Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-1215.

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Zheng, Bin, and Hae Chang Gea. "Structural Topology Optimization Under Design-Dependent Loads." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85605.

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In this paper, topology optimization of structure subject to design-dependent loads is studied. The position and direction of the design-dependent loads will change as the shape and topology of structure changes during optimization iteration. A potential function is introduced to locate the surface boundary. Design sensitivity analysis is derived. Examples from the proposed method are presented.

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Abdalla, Mostafa, Omprakash Seresta, Zafer Gurdal, and Douglas Lindner. "Topology Design of Active Trusses with Energy Constraint." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-1720.

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Walker, David, David Liu, and Alan L. Jennings. "Wing Design Utilizing Topology Optimization and Additive Manufacturing." In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1246.

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Soto, Ciro A. "Structural Topology Optimization Under Impact Loads Using Beam Ground Structures." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57421.

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This work presents a methodology to find the optimal topology of a three-dimensional structure subject to impact loads, using the approach of ground structure. The method uses of the concept of topology optimization as a material allocation problem, which has been successfully used in the past to design structures modeled with shell and solid finite elements in the automotive industry. A simple example is shown to demonstrate the method.

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Missoum, Samy, Mostafa Abdalla, and Zafer Gurdal. "Nonlinear Topology Design of Trusses Using Cellular Automata." In 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-1445.

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Kormeier, Thomas, and Stephan Rudolph. "On Pattern Recognition in Rule-Based Topology Modification." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49394.

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Classical topology optimization aims at achieving a problem suited material distribution in a structure by identification of lightly loaded areas and local element-wise reduction of stiffness. The resulting topologic layout often contains small substructures which are complicated to manufacture, hence requiring an additional manual smoothing during the structural interpretation phase. One major drawback of this approach is that the results still have to be interpreted by an engineer and consequently be translated into a feasible structure. In order to gain a first conceptual yet topologically sound design proposal for composite structures, this paper presents an alternate method for an explicit, pattern based topology modification approach combined with numerical simulation of tape-laying technology. It is assumed that certain patterns exist in stress fields that are extractable by pattern recognition algorithms known from image processing. In the case that prototypical structural reinforcements for such stress patterns can be defined, an automatic topology modification algorithm with the goal of increasing the stiffness is feasible. The classification of these stress patterns is achieved by using dimensionless features matching the stress patterns with their appropriate reinforcements. When integrated into a rule-based conceptual design environment, this explicit topology modification offers the potential to generate simple and easily manufacturable topological reinforcement proposals in an automated structural design loop.

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Chapman, Colin D., and Mark J. Jakiela. "Genetic Algorithm-Based Structural Topology Design With Compliance and Manufacturability Considerations." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0141.

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Abstract The genetic algorithm, a search and optimization technique based on the theory of natural selection, is applied to structural topology design problems with compliance and manufacturability considerations. After describing the genetic algorithm and reviewing previous research in structural topology design, we detail the chromosome-to-design representation which enables the genetic algorithm to perform structural topology optimization. Extending our prior investigations, this article details the use of our genetic algorithm-based technique to minimize a structure’s compliance, subject to a maximum volume constraint. The resulting structure is then directly compared with a solution obtained using a mathematical programming technique and material homogenization methods. We also demonstrate how our technique can generate structures which combine high stiffness-to-weight ratio with high manufacturability. After a brief discussion of our findings, we describe potential future work in genetic algorithm-based structural topology design.

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Li, Zhongwei, Aimin Wang, Jonathan Wang, and Otto Dasilva. "Offshore Platform Topsides Structural Design: Using Topology Optimization to Generate Novel Design Concept." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31304-ms.

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Abstract The paper presents topology optimization performed for the concept study of a semi-submersible platform topsides structure. The topsides truss system consisting of I beams carries the equipment payload and the environment loads. The structural weight needs to be reduced in order to maximize the allowable equipment weight, and the structural strength criterion must be satisfied for the harsh ocean environment. Topology optimization is a powerful tool to generate designs that optimally distribute the structural material for the balance between structural weight and strength. A finite-element-based topology optimization method assigns a density value to each structural element and updates this density value using topology optimization algorithms during each design iteration. Elements in the load-transferring path retain high density value at the end cycle and form an efficient structural shape under the given design load conditions and constraints. The topology optimization generated novel and optimal geometric arrangements for the topsides structure. Two corresponding innovative topsides truss concepts were developed. The new topsides designs were compared with an existing benchmark design for the structural weight and strength to demonstrates the advantages of topology optimization over conventional empirical approach for offshore platform topsides structural design. At the same strength level, the novel designs reduced the structural weight significantly. One novel design was selected for practical semi-submersible designs at Exmar Offshore Company.

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Reports on the topic "Structural topology/design"

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Yuge, Kohei, Masahiro Nagai, and Katsuomi Harayama. Topology Optimal Design of a Frame Structure Subject to Impact Loads. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0345.

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