Relevant bibliographies by topics / Structural Optimisation

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

Academic literature on the topic 'Structural Optimisation'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Structural Optimisation"

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Vankan, W. J., R. Maas, and S. Grihon. "Efficient optimisation of large aircraft fuselage structures." Aeronautical Journal 118, no. 1199 (January 2014): 31–52. http://dx.doi.org/10.1017/s0001924000008915.

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Abstract This paper presents an innovative optimisation method for aircraft fuselage structural design. Detailed local finite element analyses of panel buckling are further processed such that they can be applied as failure constraints in the global level optimisation. The high computational costs involved with the finite element analyses are limited by advanced use of surrogate modelling methods. This yields high flexibility and efficiency in the local level optimisation procedure and allows for efficient gradient based search methods as well as more costly direct search optimisations like genetic algorithms (GAs). The method is demonstrated on a composite fuselage barrel design case considering common structural sizing variables like thicknesses and stringer dimensions. Optimised barrel designs are obtained where the constraints that are derived from the panel buckling analyses are active. The total computational cost for the complete local and global level optimisation procedures is in the order of days on common-performance hardware.
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De Wilde, W. P., T. Vandenbergh, and W. Debacker. "Structural optimisation and sustainable design." International Journal of Computational Methods and Experimental Measurements 3, no. 3 (September 30, 2015): 187–204. http://dx.doi.org/10.2495/cmem-v3-n3-187-204.

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W. Lim, J., and S. Sivaguru. "Chassis Structural Design of Track Racing One Manned Formula Car." International Journal of Engineering & Technology 7, no. 3.32 (August 26, 2018): 71. http://dx.doi.org/10.14419/ijet.v7i3.32.18396.

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The current work contains the design and optimisation of a spaceframe chassis for a track racing one manned formula car able to participate in the Formula Society of Automotive Engineers (Formula SAE) 2017/2018. Materials, profile cross section types were selected by considering the theories of elastic failure. The structural strength of the chassis was determined by Finite Element Analysis using ABAQUS software by determining the stress distribution during static and dynamic loading in addition to exposing the modal frequencies. Beam elements were used in the finite element model as it provides accurate modelling of small deflection bending responses. A simple baseline chassis design was developed that adheres to the Formula SAE 2017/2018 rules. Optimisations were made in terms of the configuration and material utilisation of the chassis members were done to prevent yielding during the static loading of car components and dynamic loading during acceleration and cornering. Furthermore, the same method of optimisation was used in prevention of the coincidence of natural frequency with the frequency of the engine.
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Tomašić, Dubravko, Dragan Peraković, and Marinko Jurčević. "Interdependence between Inventory Management and Employees’ Satisfaction." PROMET - Traffic&Transportation 25, no. 3 (June 19, 2013): 245–54. http://dx.doi.org/10.7307/ptt.v25i3.909.

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The study determines the correlation between the application of advanced models and methods of inventory optimisation in the supply chain in relation to the satisfaction of employees who are responsible for managing the inventory optimisation processes. The previous studies confirm that the optimisation of inventory management in the supply chain insures competitive advantages on the market. There is space for further research of impact of the achieved inventory optimisation in the supply chain on the change of the employees’ satisfaction. The paper establishes the interrelation of the interdependence of the achieved inventory optimisations on the satisfaction of the employees and the related synergy effects of acquiring added value of the companies on the market oriented to the satisfaction of the buyers and service users. The research has defined new knowledge in interdependence of inventory management optimisation on the change of indicators of employees’ satisfaction. Based on the performed research an assumption has been created for the design of an application package (so-called XaaS-based services) for the management of interaction processes of inventory optimization in the supply chain, satisfaction of service users and employees.
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Ribeiro, Tiago P., Luís F. A. Bernardo, and Jorge M. A. Andrade. "Topology Optimisation in Structural Steel Design for Additive Manufacturing." Applied Sciences 11, no. 5 (February 27, 2021): 2112. http://dx.doi.org/10.3390/app11052112.

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Topology Optimisation is a broad concept deemed to encapsulate different processes for computationally determining structural materials optimal layouts. Among such techniques, Discrete Optimisation has a consistent record in Civil and Structural Engineering. In contrast, the Optimisation of Continua recently emerged as a critical asset for fostering the employment of Additive Manufacturing, as one can observe in several other industrial fields. With the purpose of filling the need for a systematic review both on the Topology Optimisation recent applications in structural steel design and on its emerging advances that can be brought from other industrial fields, this article critically analyses scientific publications from the year 2015 to 2020. Over six hundred documents, including Research, Review and Conference articles, added to Research Projects and Patents, attained from different sources were found significant after eligibility verifications and therefore, herein depicted. The discussion focused on Topology Optimisation recent approaches, methods, and fields of application and deepened the analysis of structural steel design and design for Additive Manufacturing. Significant findings can be found in summarising the state-of-the-art in profuse tables, identifying the recent developments and research trends, as well as discussing the path for disseminating Topology Optimisation in steel construction.
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Phillips, Andrew T. M. "Structural optimisation: biomechanics of the femur." Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 165, no. 2 (June 2012): 147–54. http://dx.doi.org/10.1680/eacm.10.00032.

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Chen, Yu‐Ming, Kuo‐Shuh Fan, and Ban‐Jwu Shih. "2.5D Nodal based evolutionary structural optimisation." Journal of the Chinese Institute of Engineers 33, no. 6 (September 2010): 899–908. http://dx.doi.org/10.1080/02533839.2010.9671678.

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Jones, R., P. Chaperon, and M. Heller. "Structural optimisation with fracture strength constraints." Engineering Fracture Mechanics 69, no. 13 (September 2002): 1403–23. http://dx.doi.org/10.1016/s0013-7944(02)00006-1.

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Jones, R., D. Peng, P. Chaperon, S. Pitt, D. Abramson, and T. Peachey. "Structural optimisation with damage tolerance constraints." Theoretical and Applied Fracture Mechanics 43, no. 1 (March 2005): 133–55. http://dx.doi.org/10.1016/j.tafmec.2004.12.009.

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Suraweera, NP, and DN Ranasinghe. "Adaptive Structural Optimisation of Neural Networks." International Journal on Advances in ICT for Emerging Regions (ICTer) 1, no. 1 (March 26, 2009): 33. http://dx.doi.org/10.4038/icter.v1i1.450.

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Dissertations / Theses on the topic "Structural Optimisation"

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Appelo, Sophia Aletta. "Structural optimisation via genetic algorithms." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71907.

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Thesis (MScEng)--Stellenbosch University, 2012.
ENGLISH ABSTRACT: The design of steel structures needs to incorporate some optimisation procedure that evolves the initial design into a more economic nal design, where this nal design must still satisfy all the initial design criteria. A candidate optimisation technique suggested by this research is the genetic algorithm. The genetic algorithm (GA) is an optimisation technique that was inspired by evolutionary principles, such as the survival of the ttest (also known as natural selection). The GA operates by generating a population of individuals which 'compete' with one another in order to survive, or di erently stated, in order to make it into the next generation. Each individual presents a solution to the problem. Surviving solutions which propagate through to the next generation are typically 'better' or ' tter' than the ones that had died o , hence suggesting a process of optimisation. This process continues until a de ned convergence criteria is met (e.g. speci ed maximum number of generations is reached), where after the best individual in the population serves as the ultimate solution to the problem. This study thoroughly investigates the inner workings that drive the algorithm, after which an algorithm is presented to face the challenges of structural optimisation. This algorithm will be concerned only with sizing optimisation; geometry, topology and shape optimisation is outside the scope of this research. The objective of this optimising problem will be to minimise the weight of the structure, it is assumed that the weight is inversely propotional to the cost of the structure. The motive behind using a genetic algorithm in this study is largely due to its ability to handle discrete search spaces; classical search methods are typically limited to some form of gradient search technique for which the search space must be continuous. The algorithm is also preferred due to its ability to e ciently search through vast search spaces, which is typically the case for a structural optimisation problem. The genetic algorithm's performance will be examined through the use of bench-marking problems. Benchmarking is done for both planar and space trusses; the 10 - and 25 bar truss problems. Such problems are typically analysed with stress and displacement constraints. After the performance of the algorithm is validated, the study commences towards solving real life practical problems. The rst step towards solving such problems would be to investigate the 160 bar truss benchmarking problem. This problem will be slightly adapted by applying South African design standards to the design, SANS (2005). This approach is more realistic, when compared to simply specifying stress and displacement constraints due to the fact that an element cannot simply be assigned the same stress constraint for tension and compression; slenderness and buckling e ects need to be taken into account. For this case, the search space will no longer simply be some sample search space, but will consist of real sections taken from the Southern African Steel Construction Handbook, SAISC (2008). Finally, the research will investigate what is needed to optimise a proper real life structure, the Eskom Self-Supporting Suspension 518H Tower. It will address a wide variety of topics, such as modelling the structure as realistically as possible, to investigating key aspects that might make the problem di erent from standard benchmarking problems and what kind of steps can be taken to over-come possible issues and errors. The algorithm runs in parallel with a nite element method program, provided by Dr G.C. van Rooyen, which analyses the solutions obtained from the algorithm and ensures structural feasibility.
AFRIKAANSE OPSOMMING: Die ontwerp van staal strukture moet 'n sekere optimalisasie proses in sluit wat die aanvanklike ontwerp ontwikkel na 'n meer ekonomiese nale ontwerp, terwyl die nuwe ontwerp nog steeds aan al die aanvanklike ontwerp kriteria voldoen. 'n Kandidaat optimeringstegniek wat voorgestel word deur hierdie navorsing is die genetiese algoritme. Die genetiese algoritme (GA) is 'n optimaliserings tegniek wat ge- ïnspireer was deur evolusionêre beginsels soos die oorlewing van die sterkste (ook bekend as natuurlike seleksie). Dit werk deur die skep van 'n bevolking van individue wat 'kompeteer' met mekaar om dit te maak na die volgende generasie. Elke individu bied 'n oplossing vir die probleem. Oorlewende oplossings wat voortplant deur middel van die volgende generasie is tipies 'beter' of ' kser' as die individue wat uitgesterf het, dus word 'n proses van optimalisering word saamgestel. Hierdie proses gaan voort totdat 'n bepaalde konvergensie kriteria voldoen is (bv. 'n gespesi seerde aantal generasies), waar na die beste individu in die bevolking dien as die uiteindelike oplossing vir die probleem. Hierdie studie ondersoek die genetiese algoritme, waarna 'n algoritme aangebied word om die uitdagings van strukturele optimalisering aan te spreek. Hierdie algoritme het alleenlik te doen met snit optimalisering; meetkunde, topologie en vorm optimalisering is buite die bestek van hierdie navorsing. Die motief agter die gebruik van 'n genetiese algoritme in hierdie studie is grootliks te danke aan sy vermoë om diskrete soek ruimtes te hanteer; klassieke soek metodes word gewoonlik beperk tot 'n vorm van 'n helling tegniek waarvoor die soektog ruimte deurlopende moet wees. Die algoritme is ook gekies as gevolg van sy vermoë om doeltre end deur groot soektog ruimtes te soek, wat gewoonlik die geval vir 'n strukturele probleem met optimering is. Die genetiese algoritme se prestasie sal ondersoek word deur die gebruik van standaarde toetse. Standarde toetse word gedoen vir beide vlak en ruimte kappe, die 10 - en 25 element vakwerk. Sulke probleme word tipies met spanning en verplasing beperkings ontleed. Na a oop van die bekragtiging van die algoritme, word praktiese probleme hanteer. Die eerste stap in die rigting sou wees om die 160 element vakwerk toets probleem te ondersoek. Hierdie probleem sal e ens aangepas word deur die toepassing van die Suid-Afrikaanse ontwerp standaarde, SANS (2005) aan die ontwerp. Dit is 'n meer realistiese benadering in vergelyking met net gespesi seerde spanning en verplasing beperkings as gevolg van die feit dat 'n element nie net eenvoudig dieselfde spanning beperking vir spanning en druk toegeken kan word nie; slankheid en knik e ekte moet ook in ag geneem word. In hierdie geval sal die soek ruimte nie meer net meer eenvoudig 'n sekere teoretiese soek ruimte wees nie, maar sal bestaan uit ware snitte wat uit die Suid Afrikaanse Konstruksie Handboek kom, SAISC (2008). Ten slotte sal die navorsing ondersoek instel na 'n standaard Eskom Transmissie toring en dit sal 'n wye verskeidenheid van onderwerpe aanspreek, soos om die modellering van die struktuur so realisties as moontlik te maak, tot die ondersoek van sleutelaspekte wat die probleem verskillend van standaard toets probleme maak en ook watter soort stappe geneem kan word om moontlike probleme te oor-kom. Die algoritme werk in parallel met 'n eindige element metode program, wat deur Dr GC van Rooyen verskaf is, wat die oplossings ontleed van die algoritme en verseker dat die struktuur lewensvatbaar is.
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Barry, Mamadou Aliou. "Optimisation des structures nanophotoniques pour le photovoltaïque." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC096/document.

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Ce manuscrit s'attache au problème du design en photonique, à savoir déterminer la meilleure façon d'agencer des éléments nanométriques pour obtenir la réponse optique que l'on désire. Différents algorithmes sont testés. Un algorithme en particulier semble adapté à ce type de problème, et permet de retrouver des structures photoniques présentes dans la nature sur les carapaces de certains insectes ou les ailes de certains papillons. Appliqué à l'anti-reflet d'une cellule photovoltaïque, l'algorithme a permis de trouver une structure contre-intuitive mais particulièrement efficace, ce qui montre tout le potentiel de cette technique
The present manuscript deals with the problem of the design in photonics, i.e. to determine which is the best way to assemble nanometric elements to reach a desired optical response. Different algorithms are tested. One algorithm in particular seems well adapted to this kind of problem, and allows to retrieve the most emblematic photonic structures which a present in nature on the tegument of insects or on the wings of butterflies. Applied to the case of an anti-reflective coating for a photovoltaic device, the algorithm has produced a particularly counter intuivite but efficient structure. This clearly demonstrates the potential of such an approach
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Laamiri, Hassan. "Optimisation methods in structural systems reliability." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46878.

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Pritchard, Thomas J. "Novel techniques in structural layout optimisation." Thesis, University of Sheffield, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419635.

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Buckney, Neil. "Optimisation of wind turbine blade structural topology." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633206.

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Wind turbines become more cost effective as they grow larger; however the blade mass increases at a greater rate than the power. For a continued size increase, reducing the mass of the blades is necessary. Additionally, lighter blades lower overall turbine costs because the loads on the rest of the structure are decreased. Therefore, the use of lightweight blades can have a significant impact on the cost of wind energy. To achieve blade mass reductions, an alternative structural layout is generated using topology optimisation. The result is a topology which varies along the blade length, transitioning from a structure with trailing edge reinforcement to one with offset spar caps. An alternative beam topology optimisation method is developed that enabled a buckling constraint to be applied. The structural efficiency of the topologically optimised blade is then assessed using shape factors and performance indices, measures which have been expanded to account for asymmetric bending of beams with multiple materials. The utility of shape factors is first demonstrated on six example beam sections before being applied to the blade. To demonstrate application to a more refined design, the performance of a 100m wind turbine blade is assessed , using maps to visualise the structural efficiency. The effect of using carbon fibre and offsetting the spar caps is evaluated, providing a greater understanding of the improved designs. Overall , the results show that wind turbine blades can be improved with structural layouts that take advantage of favourable bend-bend coupling between the out-of-plane and in-plane directions. Because traditional design concepts do not account for bending coupling, a missed opportunity for further mass reduction exists. To this day, the structural topology of the blades has remained fixed despite increasing length and changing loads. Topology optimisation and structural efficiency analysis are shown as methods used to challenge this design convention and reduce blade mass, thereby lowering the cost of wind energy.
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Wood, Derren Wesley. "Dual sequential approximation methods in structural optimisation." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20033.

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Thesis (PhD)--Stellenbosch University, 2012
ENGLISH ABSTRACT: This dissertation addresses a number of topics that arise from the use of a dual method of sequential approximate optimisation (SAO) to solve structural optimisation problems. Said approach is widely used because it allows relatively large problems to be solved efficiently by minimising the number of expensive structural analyses required. Some extensions to traditional implementations are suggested that can serve to increase the efficacy of such algorithms. The work presented herein is concerned primarily with three topics: the use of nonconvex functions in the definition of SAO subproblems, the global convergence of the method, and the application of the dual SAO approach to large-scale problems. Additionally, a chapter is presented that focuses on the interpretation of Sigmund’s mesh independence sensitivity filter in topology optimisation. It is standard practice to formulate the approximate subproblems as strictly convex, since strict convexity is a sufficient condition to ensure that the solution of the dual problem corresponds with the unique stationary point of the primal. The incorporation of nonconvex functions in the definition of the subproblems is rarely attempted. However, many problems exhibit nonconvex behaviour that is easily represented by simple nonconvex functions. It is demonstrated herein that, under certain conditions, such functions can be fruitfully incorporated into the definition of the approximate subproblems without destroying the correspondence or uniqueness of the primal and dual solutions. Global convergence of dual SAO algorithms is examined within the context of the CCSA method, which relies on the use and manipulation of conservative convex and separable approximations. This method currently requires that a given problem and each of its subproblems be relaxed to ensure that the sequence of iterates that is produced remains feasible. A novel method, called the bounded dual, is presented as an alternative to relaxation. Infeasibility is catered for in the solution of the dual, and no relaxation-like modification is required. It is shown that when infeasibility is encountered, maximising the dual subproblem is equivalent to minimising a penalised linear combination of its constraint infeasibilities. Upon iteration, a restorative series of iterates is produced that gains feasibility, after which convergence to a feasible local minimum is assured. Two instances of the dual SAO solution of large-scale problems are addressed herein. The first is a discrete problem regarding the selection of the point-wise optimal fibre orientation in the two-dimensional minimum compliance design for fibre-reinforced composite plates. It is solved by means of the discrete dual approach, and the formulation employed gives rise to a partially separable dual problem. The second instance involves the solution of planar material distribution problems subject to local stress constraints. These are solved in a continuous sense using a sparse solver. The complexity and dimensionality of the dual is controlled by employing a constraint selection strategy in tandem with a mechanism by which inconsequential elements of the Jacobian of the active constraints are omitted. In this way, both the size of the dual and the amount of information that needs to be stored in order to define the dual are reduced.
AFRIKAANSE OPSOMMING: Hierdie proefskrif spreek ’n aantal onderwerpe aan wat spruit uit die gebruik van ’n duale metode van sekwensi¨ele benaderde optimering (SBO; sequential approximate optimisation (SAO)) om strukturele optimeringsprobleme op te los. Hierdie benadering word breedvoerig gebruik omdat dit die moontlikheid skep dat relatief groot probleme doeltreffend opgelos kan word deur die aantal duur strukturele analises wat vereis word, te minimeer. Sommige uitbreidings op tradisionele implementerings word voorgestel wat kan dien om die doeltreffendheid van sulke algoritmes te verhoog. Die werk wat hierin aangebied word, het hoofsaaklik betrekking op drie onderwerpe: die gebruik van nie-konvekse funksies in die defini¨ering van SBO-subprobleme, die globale konvergensie van die metode, en die toepassing van die duale SBO-benadering op grootskaalse probleme. Daarbenewens word ’n hoofstuk aangebied wat fokus op die interpretasie van Sigmund se maasonafhanklike sensitiwiteitsfilter (mesh independence sensitivity filter) in topologie-optimering. Dit is standaard praktyk om die benaderde subprobleme as streng konveks te formuleer, aangesien streng konveksiteit ’n voldoende voorwaarde is om te verseker dat die oplossing van die duale probleem ooreenstem met die unieke stasionˆere punt van die primaal. Die insluiting van niekonvekse funksies in die definisie van die subprobleme word selde gepoog. Baie probleme toon egter nie-konvekse gedrag wat maklik deur eenvoudige nie-konvekse funksies voorgestel kan word. In hierdie werk word daar gedemonstreer dat sulke funksies onder sekere voorwaardes met vrug in die definisie van die benaderde subprobleme inkorporeer kan word sonder om die korrespondensie of uniekheid van die primale en duale oplossings te vernietig. Globale konvergensie van duale SBO-algoritmes word ondersoek binne die konteks van die CCSAmetode, wat afhanklik is van die gebruik en manipulering van konserwatiewe konvekse en skeibare benaderings. Hierdie metode vereis tans dat ’n gegewe probleem en elk van sy subprobleme verslap word om te verseker dat die sekwensie van iterasies wat geproduseer word, toelaatbaar bly. ’n Nuwe metode, wat die begrensde duaal genoem word, word aangebied as ’n alternatief tot verslapping. Daar word vir ontoelaatbaarheid voorsiening gemaak in die oplossing van die duaal, en geen verslappings-tipe wysiging word benodig nie. Daar word gewys dat wanneer ontoelaatbaarheid te¨engekom word, maksimering van die duaal-subprobleem ekwivalent is aan minimering van sy begrensingsontoelaatbaarhede (constraint infeasibilities). Met iterasie word ’n herstellende reeks iterasies geproduseer wat toelaatbaarheid bereik, waarna konvergensie tot ’n plaaslike KKT-punt verseker word. Twee gevalle van die duale SBO-oplossing van grootskaalse probleme word hierin aangespreek. Die eerste geval is ’n diskrete probleem betreffende die seleksie van die puntsgewyse optimale veselori¨entasie in die tweedimensionele minimum meegeefbaarheidsontwerp vir veselversterkte saamgestelde plate. Dit word opgelos deur middel van die diskrete duale benadering, en die formulering wat gebruik word, gee aanleiding tot ’n gedeeltelik skeibare duale probleem. Die tweede geval behels die oplossing van in-vlak materiaalverspredingsprobleme onderworpe aan plaaslike spanningsbegrensings. Hulle word in ’n kontinue sin opgelos met die gebruik van ’n yl oplosser. Die kompleksiteit en dimensionaliteit van die duaal word beheer deur gebruik te maak van ’n strategie om begrensings te selekteer tesame met ’n meganisme waardeur onbelangrike elemente van die Jacobiaan van die aktiewe begrensings uitgelaat word. Op hierdie wyse word beide die grootte van die duaal en die hoeveelheid inligting wat gestoor moet word om die duaal te definieer, verminder.
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Qian, Connie Cheng. "Structural optimisation of discontinuous carbon fibre composites." Thesis, University of Nottingham, 2014. http://eprints.nottingham.ac.uk/14542/.

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There has been a growing interest in using discontinuous carbon fibre composites for semi-structural applications within the automotive industry. The main advantages of discontinuous fibres are low material costs, low wastage and low touch labour compared with processes using carbon fibre textiles. Directed Carbon Fibre Preforming (DCFP) is an automated process for producing complex 3D preforms for liquid moulding. DCFP offers the potential for producing highly optimised structures, with local control over tow size, fibre length and volume fraction within the component. The execution of this is challenging however, as confidence in the current library of material properties is low and existing structural optimisation packages only consider a very limited number of design variables, which are restricted to more conventional composite materials. This thesis aims to establish a structural design tool to exploit the design freedom offered by the DCFP process. A large number of parameters associated with the fibre architecture can be controlled to meet a range of design criterions such as performance, weight and cost. The optimisation tool is capable of generating locally varied fibre areal mass and thickness maps that are suitable for manufacture by the robot controlled process. The developed model adopts a multi-scaled finite element approach. Meso-scale simulations are performed to establish size effects in discontinuous fibre composites, to quantify the level of stochastic variability and to determine the representative volume element for a given fibre architecture. A DCFP material database is generated to facilitate macro-scale modelling at the component level. The macro-scale model iteratively redistributes material in order to minimise the total strain energy of the model under prescribed loading conditions. The optimised model is segmented into areas of uniform areal mass, where the zone geometries are tailored to achieve representative material properties according to the meso-scale results, whilst ensuring the design is fit for manufacture. An automotive spare wheel well has been chosen as a demonstrator component, enabling two DCFP architectures to be compared against a continuous glass/carbon fibre NCF design. The first case offers a high performance (high specific stiffness) solution and the second offers a low cost option using high filament count tows. Following optimisation, results suggest that a 3K 25mm fibre length DCFP option can achieve a specific stiffness 52% higher than the glass/carbon baseline design, but for 1.33 times higher material cost. Alternatively, the specific stiffness of a 24K 50mm fibre length DCFP is marginally lower than the first option, but still out-performs the baseline for just 67% of the material cost. The structural optimisation method demonstrates that discontinuous fibre composites can compete against continuous fibre counterparts for semi-structural applications.
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Uthman, Zana. "Configurational forces in structural and continuum optimisation." Thesis, University of Sheffield, 2008. http://etheses.whiterose.ac.uk/91/.

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This thesis deals with optimisation using the principles of continuum mechanics. Both shape and mesh optimisation will be covered. A unified approach will be introduced to obtain shape and mesh optimisation for hyperelastic, hyperelastodynamic and hyperelastoplastic settings. The approach makes use of the generated material force method in mesh optimisation and the so-called imposed material force method in shape optimisation. To this end, the appropriate spatial and material continuum mechanic Equations will be developed in hyperelastic, hyperelastodynamic and hyperelastoplastic settings. A summary of the four main parts is as follows. The first part begins with structural optimisation in hyperelastic setting. After introducing the necessary Equations, the effectiveness of the material force method to obtain global optimised solutions for truss structures will be demonstrated. The implementation produces the global optimised undeformed configuration and the global optimised deformed configuration. The shape and mesh optimisation will be tested for two and three dimensional truss structures under small and large deformations. In addition, these formulations will be extended to obtain constrained optimised solutions. The penalty method is used to realise optimised truss structures within certain design criteria. The second part develops a new Arbitrary Lagrangian Eulerian (ALE) hyperelastic setting in rate form. It will deal with two systems of partial differential Equations, namely the spatial and the material momentum Equation. Both are discretised with the finite element method. The spatial Equation will then be linearised by taking the material time derivative while the material Equation will be linearised by taking the spatial time derivative. The solution defines the optimal spatial and material configuration in the context of energy minimisation in hyperelastic setting. The implemented examples will illustrate shape optimisation under the effect of mesh refinement The third part provides the formulation and implementation details of ALE hyperelastodynamic problem classes. This ALE formulation is based on the dual balance of momentum in terms of both spatial and material forces. The balance of spatial momentum results in the usual Equation of motion, whereas the balance of the material momentum indicates deficiencies in the nodal positions, hence providing an objective criterion to optimise the finite element mesh. The main difference with traditional ALE approaches is that the combination of the Lagrangian and Eulerian description is no longer arbitrary. In other words the mesh motion is no longer user defined but completely embedded within the formulation. This presents a discretisation and linearisation for a recently developed variational arbitrary Lagrangian Eulerian framework in hyperelastodynamics setting. The spatial and material variational Equations will be discretised to obtain the weak form of the momentum and continuity Equations. The discretised ALE Hamiltonian Equations of the spatial motion problem introduces the balance of the discretised spatial momentum and the discretised spatial continuity Equation while the corresponding material motion problem defines the balance of the discretised material (or configurational) momentum and the discretised material continuity Equation. We will deal with two systems of partial differential Equations: the scalar continuity Equation and the vector balance of momentum Equation. The momentum and continuity Equations will then be linearised. The time integration of both the spatial and the material Equations is performed with Newmark scheme. A monolithic solution strategy solving both the spatial and the material momentum Equations has been carried out while updating of the spatial and the material densities were attained through solving the spatial and material continuity Equations (mass conservation). The concept of generated material force has been implemented to optimise the mesh and consequently the wave propagation. The solution defines the optimal spatial and material configuration in the context of energy minimisation. The fourth part provides the framework and implementational details of ALE hyperelastoplasticity problem classes. This ALE formulation is based on the dual balance of momentum in terms of spatial forces (the well-known Newtonian forces) as well as material forces (also known as configurational forces). The balance of spatial momentum results in the usual Equation of motion, whereas the balance of the material momentum indicates deficiencies in the nodal positions, hence providing an objective criterion to optimise the shape or the finite element mesh. The earlier developed ALE hyperelastic setting will provide the platform to extend the formulation to include plasticity. The new ALE hyperelastoplasticity setting will be developed at finite strain. In ALE hyperelastoplastic formulation additional Equations are required to update the stresses. The principle of maximum plastic dissipation as well as the consistency conditions in spatial and material setting will introduce the spatial and material plastic parameters and rate form of the stress-strain relations. The solution defines the optimal spatial and material configuration in the context of energy minimisation in hyperelastoplasticity setting. The concepts of imposed and generated material force are implemented to provide improvements over Lagrangian solutions.
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9

Liu, Jing-Sheng. "Integrated structural and electromagnetic optimisation of large terrestrial and space antenna structures." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/843480/.

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In this study, a novel multi-parameter overall situation optimisation method and mathematical model has been developed for use with terrestrial and space reflector antenna electro-mechanical systems and other metallic and polymer composite civil engineering structures. To satisfy extremely high design requirements, the proposed approach incorporates the objectives from various structural and electromagnetic (EM) performances of the system such as structural frequency, weight, stiffness, strength, reflector surface accuracy, antenna EM efficiency (gain), and radiation patterns at many working/loading cases simultaneously. The optimisation involves geometric and material design variables, and integrated design of composites and structural systems. Various terrestrial, launch and orbital working environments and loading cases which affect antenna performances have been included in the optimisation. These involve self-weight at different elevation attitudes, wind loading, random/dynamic loads and temperature distributions. Both truss and sandwich parabolic reflector panels with honeycomb core and carbon fibre laminate skins stiffened with composite ribs have been optimised. The effects of structural deformation on antenna EM performances have been investigated, modelled and repeatedly analysed in the iterative optimum-seeking procedure. Optical ray tracing, spline function aperture field interpolation, geometric optics aperture integration, Zernike modes analysis and FFT techniques have been used to analyse the EM performances of distorted reflector antennas. An important aspect of the work was the establishment of evaluation criteria in optimising engineering systems. A new method is presented, which can be used as a design review tool to assess the design quality of engineering systems. This systematic method quantitatively evaluates a design from multi-discipline and numerous points of view simultaneously for Pareto optimisation. A general purpose optimisation program MOST (Multifactor Optimisation of Structures Technique) has been developed to implement the proposed approach. MOST has the ability to utilise ABAQUS as an analysis routine for linear and non-linear, static and dynamic structural analysis in the optimisation procedures. Examples are presented to demonstrate the capabilities of the optimisation methodology and MOST program system. These examples are: an 8m Cassegrain antenna system, a 3.6x2.6m composite space deployable reflector antenna structure, and two 4m low side-lobe off-set antenna systems (with composite structures). The optimisation results for these antennas show that the optimisation procedures succeed in that at all the working/loading cases the antenna performances have been greatly improved.
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Proos, Kaarel. "Evolutionary structural optimisation as a robust and reliable design tool." Connect to full text, 2002. http://hdl.handle.net/2123/519.

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Thesis (Ph. D.)--University of Sydney, 2002.
Title from title screen (viewed Apr. 28, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Aeronautical, Mechatronic and Mechanical Engineering. Includes bibliographical references. Also available in print form.
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Books on the topic "Structural Optimisation"

1

Bhavikatti, S. S. Structural optimisation using sequential linear programming. New Delhi: Vikas Publishing House Pvt., 2003.

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Bendsøe, Martin P. Optimization of structural topology, shape, and material. Berlin: Springer, 1995.

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Miravete, A. Optimisation of design of composite structures. Cambridge: Woodhead, 1996.

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Croccolo, Dario. Motorbike Suspensions: Modern design and optimisation. London: Springer London, 2013.

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Kilkki, Juha. Automated formulation of optimisation models for steel beam structures. Lappeenranta, Finland: Lappeenranta University of Technology, 2002.

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J, Twining Carole, and Taylor Chris J, eds. Statistical models of shape: Optimisation and evaluation. London: Springer, 2008.

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SAS World Conference (6th 1989 Gournay-sur-Marne, France). FEMCAD-89, structural analysis and optimization: Proceedings of the Sixth SAS-World Conference = FEMCAD-89, calcul et optimisation des structures. Edited by Liebowitz Harold 1924-, Davies Glyn A. O, and IITT-International. Gournay-sur-Marne, France: IITT International, 1989.

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P, Kamat Manohar, ed. Structural optimization: Status and promise. Washington, DC: American Institute of Aeronautics and Astronautics, 1993.

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Sáez, Doris. Optimisation of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants. London: Springer London, 2002.

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Adeli, Hojjat. Cost optimization of structures: Fuzzy logic, genetic algorithms, and parallel computing. Chichester, England: Wiley, 2006.

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Book chapters on the topic "Structural Optimisation"

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Jose, Anitta, Rajesh P. Nair, B. Sanoob, and Jose Paul. "Structural Optimisation of Helideck Structure Using FEM." In Lecture Notes in Civil Engineering, 505–12. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26365-2_47.

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Wellen, Heinrich, and Peter Bartholomew. "Structural Optimisation in Aircraft Construction." In Computer Aided Optimal Design: Structural and Mechanical Systems, 955–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83051-8_29.

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Jones, R., P. Chaperon, and J. P. G. Sawyer. "Structural Optimisation With Damage Tolerance Constraints." In Ageing Studies and Lifetime Extension of Materials, 601–8. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1215-8_66.

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Morris, A. J. "Potential of AI Methods in Optimisation." In Computer Aided Optimal Design: Structural and Mechanical Systems, 1026. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83051-8_37.

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Lecina, G. "Design Process with Optimisation Present State." In Computer Aided Optimal Design: Structural and Mechanical Systems, 1027–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83051-8_38.

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Querin, O. M., G. P. Steven, and Y. M. Xie. "Advances in Evolutionary Structural Optimisation: 1992-2000." In Topology Optimization of Structures and Composite Continua, 227–36. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0910-2_16.

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Jalili, Shahin. "Application of Cultural Algorithms to Structural Optimisation." In Engineering Optimization: Methods and Applications, 235–55. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4633-2_9.

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Ballo, Federico Maria, Massimiliano Gobbi, Giampiero Mastinu, and Giorgio Previati. "Structural Optimisation in Road Vehicle Components Design." In Optimal Lightweight Construction Principles, 233–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60835-4_13.

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Joseph, Amrutha, and P. E. Kavitha. "Structural Optimisation of Hyperbolic Paraboloid Shell Foundation." In Lecture Notes in Civil Engineering, 395–403. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80312-4_35.

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Munk, David J., Gareth A. Vio, Grant P. Steven, and Timoleon Kipouros. "Producing Smart Pareto Sets for Multi-objective Topology Optimisation Problems." In Advances in Structural and Multidisciplinary Optimization, 145–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67988-4_10.

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Conference papers on the topic "Structural Optimisation"

1

Costa, R., and S. Pinho. "Structural Optimisation for Damage Tolerance." In VIII Conference on Mechanical Response of Composites. CIMNE, 2021. http://dx.doi.org/10.23967/composites.2021.110.

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"Topology Optimisation for High Frequency Vibration Energy Harvesting." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-2.

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Abstract. Topology optimisation has been used to design a piezoelectric energy harvester capable of harvesting the vibration present on a helicopter gearbox. The gearbox vibrations, with frequencies in the kilo-hertz range and having amplitudes of 10-100g (where g = 9.81 m/s2), are generated by gear-meshing within the transmission. These accelerations, large in amplitude and high in frequency, are ideal sources for vibration energy harvesting, with the harvested power potentially used to power autonomous condition-based-maintenance systems. This paper will discuss the first and simplest of the harvesters that were designed and manufactured, i.e. a 0.51 mm thick spring steel cantilever that uses a Pz27 piezoceramic transducer, which is sensitive to 1900 Hz gearbox vibrations and can produce 300 µW from a 2g host acceleration.
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BALLISAT, ALEXANDER, PAUL WILCOX, and ANTHONY CROXFORD. "Model Based Optimisation of Ultrasonic Corrosion Measurement." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32205.

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Coenders, Jeroen, and Hamish Pearse-Danker. "Integration of manufacturability in structural optimisation." In IABSE Symposium, Weimar 2007: Improving Infrastructure Worldwide. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2007. http://dx.doi.org/10.2749/222137807796120210.

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BARTHOLOMEW, P. "A New Approach to the Optimisation of Structures Subject to Frequency Constraints." In 31st Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-1092.

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Wang, Lina, A. Williams, and Raul Llamas. "Aircraft wing structural optimisation with manufacturing considerations." In 8th Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4842.

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Houda, Maryam, and Dagmar Reinhardt. "Structural Optimisation for 3D Printing Bespoke Geometries." In CAADRIA 2018: Learning, Prototyping and Adapting. CAADRIA, 2018. http://dx.doi.org/10.52842/conf.caadria.2018.1.235.

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Houda, Maryam, and Dagmar Reinhardt. "Structural Optimisation for 3D Printing Bespoke Geometries." In CAADRIA 2018: Learning, Prototyping and Adapting. CAADRIA, 2018. http://dx.doi.org/10.52842/conf.caadria.2018.1.235.

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RUFAI, OLUBUKOLA, MAYANK GAUTAM, PRASAD POTLURI, and MATTHIEU GRESIL. "Optimisation of Optical Fibres for Structural Health Monitoring Through Micro-braiding." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/13937.

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Mira, L. Alegria, N. De Temmerman, and C. Preisinger. "Structural optimisation of deployable scissor structures using new computational methods." In HPSM2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/hpsm120421.

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