Готові списки джерел за темами / Structures

Добірка наукової літератури з теми "Structures"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 25 травня 2024

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Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "Structures":

1

Yamasaki, Satoshi, and Kazuhiko Fukui. "2P266 Tertiary structure prediction of RNA-RNA complex structures using secondary structure information(22A. Bioinformatics: Structural genomics,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S203. http://dx.doi.org/10.2142/biophys.53.s203_1.

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2

Janoschek, Rudolf. "Structures, Structures, and Structures." Angewandte Chemie International Edition in English 31, no. 3 (March 1992): 290–92. http://dx.doi.org/10.1002/anie.199202901.

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3

Smith, Henry E. "Structured Settlements as Structures of Rights." Virginia Law Review 88, no. 8 (December 2002): 1953. http://dx.doi.org/10.2307/1074013.

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4

HORNUNG, Martin, Takahisa DOBA, Rajat AGARWAL, Mark BUTLER, and Olaf LAMMERSCHOP. "Structural Adhesives for Energy Management and Reinforcement of Body Structures." Journal of The Adhesion Society of Japan 44, no. 7 (2008): 258–63. http://dx.doi.org/10.11618/adhesion.44.258.

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5

Ibrahim, M. K. "Radix-2nmultiplier structures: a structured design methodology." IEE Proceedings E (Computers and Digital Techniques) 140, no. 4 (July 1993): 185–90. http://dx.doi.org/10.1049/ip-e.1993.0026.

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6

Elyiğit, Belkıs, and Cevdet Emin Ekinci. "A RESEARCH ON STRUCTURAL AND NON-STRUCTURAL DAMAGES AND DAMAGE ASSESSMENT IN REINFORCED CONCRETE STRUCTURES." NWSA Academic Journals 18, no. 2 (April 25, 2023): 19–42. http://dx.doi.org/10.12739/nwsa.2023.18.2.1a0485.

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7

Khalaf, Mohammed M., and Ahmed Elmoasry. " -WEAK STRUCTURES." Indian Journal of Applied Research 4, no. 1 (October 1, 2011): 351–55. http://dx.doi.org/10.15373/2249555x/jan2014/103.

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8

Zilberman, M., N. D. Schwade, R. S. Meidell, and R. C. Eberhart. "Structured drug-loaded bioresorbable films for support structures." Journal of Biomaterials Science, Polymer Edition 12, no. 8 (January 2001): 875–92. http://dx.doi.org/10.1163/156856201753113079.

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9

Kraus, Felix, Ezequiel Miron, Justin Demmerle, Tsotne Chitiashvili, Alexei Budco, Quentin Alle, Atsushi Matsuda, Heinrich Leonhardt, Lothar Schermelleh, and Yolanda Markaki. "Quantitative 3D structured illumination microscopy of nuclear structures." Nature Protocols 12, no. 5 (April 13, 2017): 1011–28. http://dx.doi.org/10.1038/nprot.2017.020.

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10

Jie Chen, M. K. H. Fan, and C. N. Nett. "Structured singular values with nondiagonal structures. I. Characterizations." IEEE Transactions on Automatic Control 41, no. 10 (1996): 1507–11. http://dx.doi.org/10.1109/9.539434.

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Статті в журналах Дисертації Книги

Дисертації з теми "Structures":

1

Guy, Nicolas. "Modèle et commande structurés : application aux grandes structures spatiales flexibles." Thesis, Toulouse, ISAE, 2013. http://www.theses.fr/2013ESAE0036/document.

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Dans cette thèse, les problématiques de la modélisation et du contrôle robuste de l’attitude des grandes structures spatiales flexibles sont considérées. Afin de satisfaire les performances de pointage requises dans les scénarios des futures missions spatiales, nous proposons d’optimiser directement une loi de commande d’ordre réduit sur un modèle de validation d’ordre élevé et des critères qui exploitent directement la structure du modèle. Ainsi, les travaux de cette thèse sont naturellement divisés en deux parties : une partie relative à l’obtention d’un modèle dynamique judicieusement structuré du véhicule spatial qui servira à l’étape de synthèse ; une seconde partie concernant l’obtention de la loi de commande.Ces travaux sont illustrés sur l’exemple académique du système masses-ressort, qui est la représentation la plus simple d’un système flexible à un degré de liberté. En complément, un cas d’étude sur un satellite géostationnaire est traité pour valider les approches sur un exemple plus réaliste d’une problématique industrielle
In this thesis, modeling and robust attitude control problems of large flexible space structures are considered. To meet the required pointing performance of future space missions scenarios, we propose to directly optimize a reduced order control law on high order model validation and criteria that directly exploit the model structure. Thus, the work of this thesis is naturally divided into two parts : one part on obtaining a wisely structured dynamic model of the spacecraft to be used in the synthesis step, a second part about getting the law control. This work is illustrated on the example of the academic spring-masses system, which is the simplest representation of a one degree of freedom flexible system. In addition, a geostationary satellite study case is processed to validate developed approaches on a more realistic example of an industrial problem
2

Sibai, Munira. "Optimization of an Unfurlable Space Structure." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99908.

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Deployable structures serve a large number of space missions. They are vital since spacecraft are launched by placing them inside launch vehicle payload fairings of limited volume. Traditional spacecraft design often involves large components. These components could have power, communication, or optics applications and include booms, masts, antennas, and solar arrays. Different stowing methods are used in order to reduce the overall size of a spacecraft. Some examples of stowing methods include simple articulating, more complex origami inspired folding, telescoping, and rolling or wrapping. Wrapping of a flexible component could reduce the weight by eliminating joints and other components needed to enable some of the other mechanisms. It also is one of the most effective methods at reducing the compaction volume of the stowed deployable. In this study, a generic unfurlable structure is optimized for maximum natural frequency at its fully deployed configuration and minimal strain energy in its stowed configuration. The optimized stowed structure is then deployed in simulation. The structure consists of a rectangular panel that tightly wraps around a central cylindrical hub for release in space. It is desired to minimize elastic energy in the fully wrapped panel and hinge to ensure minimum reaction load into the spacecraft as it deploys in space, since that elastic energy stored at the stowed position transforms into kinetic energy when the panel is released and induces a moment in the connected spacecraft. It is also desired to maximize the fundamental frequency of the released panel as a surrogate for the panel having sufficient stiffness. Deployment dynamic analysis of the finite element model was run to ensure satisfactory optimization formulation and results.
Master of Science
Spacecraft, or artificial satellites, do not fly from earth to space on their own. They are launched into their orbits by placing them inside launch vehicles, also known as carrier rockets. Some parts or components of spacecraft are large and cannot fit in their designated space inside launch vehicles without being stowed into smaller volumes first. Examples of large components on spacecraft include solar arrays, which provide power to the spacecraft, and antennas, which are used on satellite for communication purposes. Many methods have been developed to stow such large components. Many of these methods involve folding about joints or hinges, whether it is done in a simple manner or by more complex designs. Moreover, components that are flexible enough could be rolled or wrapped before they are placed in launch vehicles. This method reduces the mass which the launch vehicle needs to carry, since added mass of joints is eliminated. Low mass is always desirable in space applications. Furthermore, wrapping is very effective at minimizing the volume of a component. These structures store energy inside them as they are wrapped due to the stiffness of their materials. This behavior is identical to that observed in a deformed spring. When the structures are released in space, that energy is released, and thus, they deploy and try to return to their original form. This is due to inertia, where the stored strain energy turns into kinetic energy as the structure deploys. The physical analysis of these structures, which enables their design, is complex and requires computational solutions and numerical modeling. The best design for a given problem can be found through numerical optimization. Numerical optimization uses mathematical approximations and computer programming to give the values of design parameters that would result in the best design based on specified criterion and goals. In this thesis, numerical optimization was conducted for a simple unfurlable structure. The structure consists of a thin rectangular panel that wraps tightly around a central cylinder. The cylinder and panel are connected with a hinge that is a rotational spring with some stiffness. The optimization was solved to obtain the best values for the stiffness of the hinge, the thickness of the panel, which is allowed to vary along its length, and the stiffness or elasticity of the panel's material. The goals or objective of the optimization was to ensure that the deployed panel meets stiffness requirement specified for similar space components. Those requirements are set to make certain that the spacecraft can be controlled from earth even with its large component deployed. Additionally, the second goal of the optimization was to guarantee that the unfurling panel does not have very high energy stored while it's wrapped, so that it would not cause large motion the connected spacecraft in the zero gravity environments of space. A computer simulation was run with the resulting hinge stiffness and panel elasticity and thickness values with the cylinder and four panels connected to a structure representing a spacecraft. The simulation results and deployment animation were assessed to confirm that desired results were achieved.
3

Keyhani, Ali. "A Study On The Predictive Optimal Active Control Of Civil Engineering Structures." Thesis, Indian Institute of Science, 2000. https://etd.iisc.ac.in/handle/2005/223.

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Uncertainty involved in the safe and comfort design of the structures is a major concern of civil engineers. Traditionally, the uncertainty has been overcome by utilizing various and relatively large safety factors for loads and structural properties. As a result in conventional design of for example tall buildings, the designed structural elements have unnecessary dimensions that sometimes are more than double of the ones needed to resist normal loads. On the other hand the requirements for strength and safety and comfort can be conflicting. Consequently, an alternative approach for design of the structures may be of great interest in design of safe and comfort structures that also offers economical advantages. Recently, there has been growing interest among the researchers in the concept of structural control as an alternative or complementary approach to the existing approaches of structural design. A few buildings have been designed and built based on this concept. The concept is to utilize a device for applying a force (known as control force) to encounter the effects of disturbing forces like earthquake force. However, the concept still has not found its rightful place among the practical engineers and more research is needed on the subject. One of the main problems in structural control is to find a proper algorithm for determining the optimum control force that should be applied to the structure. The investigation reported in this thesis is concerned with the application of active control to civil engineering structures. From the literature on control theory. (Particularly literature on the control of civil engineering structures) problems faced in application of control theory were identified and classified into two categories: 1) problems common to control of all dynamical systems, and 2) problems which are specially important in control of civil engineering structures. It was concluded that while many control algorithms are suitable for control of dynamical systems, considering the special problems in controlling civil structures and considering the unique future of structural control, many otherwise useful control algorithms face practical problems in application to civil structures. Consequently a set of criteria were set for judging the suitability of the control algorithms for use in control of civil engineering structures. Various types of existing control algorithms were investigated and finally it was concluded that predictive optimal control algorithms possess good characteristics for purpose of control of civil engineering structures. Among predictive control algorithms, those that use ARMA stochastic models for predicting the ground acceleration are better fitted to the structural control environment because all the past measured excitation is used to estimate the trends of the excitation for making qualified guesses about its coming values. However, existing ARMA based predictive algorithms are devised specially for earthquake and require on-line measurement of the external disturbing load which is not possible for dynamic loads like wind or blast. So, the algorithms are not suitable for tall buildings that experience both earthquake and wind loads during their life. Consequently, it was decided to establish a new closed loop predictive optimal control based on ARMA models as the first phase of the study. In this phase it was initially established that ARMA models are capable of predicting response of a linear SDOF system to the earthquake excitation a few steps ahead. The results of the predictions encouraged a search for finding a new closed loop optimal predictive control algorithm for linear SDOF structures based on prediction of the response by ARMA models. The second part of phase I, was devoted to developing and testing the proposed algorithm The new developed algorithm is different from other ARMA based optimal controls since it uses ARMA models for prediction of the structure response while existing algorithms predict the input excitation. Modeling the structure response as an AR or ARMA stochastic process is an effective mean for prediction of the structure response while avoiding measurement of the input excitation. ARMA models used in the algorithm enables it to avoid or reduce the time delay effect by predicting the structure response a few steps ahead. Being a closed loop control, the algorithm is suitable for all structural control conditions and can be used in a single control mechanism for vibration control of tall buildings against wind, earthquake or other random dynamic loads. Consequently the standby time is less than that for existing ARMA based algorithms devised only for earthquakes. This makes the control mechanism more reliable. The proposed algorithm utilizes and combines two different mathematical models. First model is an ARMA model representing the environment and the structure as a single system subjected to the unknown random excitation and the second model is a linear SDOF system which represents the structure subjected to a known past history of the applied control force only. The principle of superposition is then used to combine the results of these two models to predict the total response of the structure as a function of the control force. By using the predicted responses, the minimization of the performance index with respect to the control force is carried out for finding the optimal control force. As phase II, the proposed predictive control algorithm was extended to structures that are more complicated than linear SDOF structures. Initially, the algorithm was extended to linear MDOF structures. Although, the development of the algorithm for MDOF structures was relatively straightforward, during testing of the algorithm, it was found that prediction of the response by ARMA models can not be done as was done for SDOF case. In the SDOF case each of the two components of the state vector (i.e. displacement and velocity) was treated separately as an ARMA stochastic process. However, applying the same approach to each component of the state vector of a MDOF structure did not yield satisfactory results in prediction of the response. Considering the whole state vector as a multi-variable ARMA stochastic vector process yielded the desired results in predicting the response a few steps ahead. In the second part of this phase, the algorithm was extended to non-linear MDOF structures. Since the algorithm had been developed based on the principle of superposition, it was not possible to directly extend the algorithm to non-linear systems. Instead, some generalized response was defined. Then credibility of the ARMA models in predicting the generalized response was verified. Based on this credibility, the algorithm was extended for non-linear MDOF structures. Also in phase II, the stability of a controlled MDOF structure was proved. Both internal and external stability of the system were described and verified. In phase III, some problems of special interest, i.e. soil-structure interaction and control time delay, were investigated and compensated for in the framework of the developed predictive optimal control. In first part of phase III soil-structure interaction was studied. The half-space solution of the SSI effect leads to a frequency dependent representation of the structure-footing system, which is not fit for control purpose. Consequently an equivalent frequency independent system was proposed and defined as a system whose frequency response is equal to the original structure -footing system in the mean squares sense. This equivalent frequency independent system then was used in the control algorithm. In the second part of this phase, an analytical approach was used to tackle the time delay phenomenon in the context of the predictive algorithm described in previous chapters. A generalized performance index was defined considering time delay. Minimization of the generalized performance index resulted into a modified version of the algorithm in which time delay is compensated explicitly. Unlike the time delay compensation technique used in the previous phases of this investigation, which restricts time delay to be an integer multiplier of the sampling period, the modified algorithm allows time delay to be any non-negative number. However, the two approaches produce the same results if time delay is an integer multiplier of the sampling period. For evaluating the proposed algorithm and comparing it with other algorithms, several numerical simulations were carried during the research by using MATLAB and its toolboxes. A few interesting results of these simulations are enumerated below: ARM A models are able to predict the response of both linear and non-linear structures to random inputs such as earthquakes. The proposed predictive optimal control based on ARMA models has produced better results in the context of reducing velocity, displacement, total energy and operational cost compared to classic optimal control. Proposed active control algorithm is very effective in increasing safety and comfort. Its performance is not affected much by errors in the estimation of system parameters (e.g. damping). The effect of soil-structure interaction on the response to control force is considerable. Ignoring SSI will cause a significant change in the magnitude of the frequency response and a shift in the frequencies of the maximum response (resonant frequencies). Compensating the time delay effect by the modified version of the proposed algorithm will improve the performance of the control system in achieving the control goal and reduction of the structural response.
4

Keyhani, Ali. "A Study On The Predictive Optimal Active Control Of Civil Engineering Structures." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/223.

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Анотація:
Uncertainty involved in the safe and comfort design of the structures is a major concern of civil engineers. Traditionally, the uncertainty has been overcome by utilizing various and relatively large safety factors for loads and structural properties. As a result in conventional design of for example tall buildings, the designed structural elements have unnecessary dimensions that sometimes are more than double of the ones needed to resist normal loads. On the other hand the requirements for strength and safety and comfort can be conflicting. Consequently, an alternative approach for design of the structures may be of great interest in design of safe and comfort structures that also offers economical advantages. Recently, there has been growing interest among the researchers in the concept of structural control as an alternative or complementary approach to the existing approaches of structural design. A few buildings have been designed and built based on this concept. The concept is to utilize a device for applying a force (known as control force) to encounter the effects of disturbing forces like earthquake force. However, the concept still has not found its rightful place among the practical engineers and more research is needed on the subject. One of the main problems in structural control is to find a proper algorithm for determining the optimum control force that should be applied to the structure. The investigation reported in this thesis is concerned with the application of active control to civil engineering structures. From the literature on control theory. (Particularly literature on the control of civil engineering structures) problems faced in application of control theory were identified and classified into two categories: 1) problems common to control of all dynamical systems, and 2) problems which are specially important in control of civil engineering structures. It was concluded that while many control algorithms are suitable for control of dynamical systems, considering the special problems in controlling civil structures and considering the unique future of structural control, many otherwise useful control algorithms face practical problems in application to civil structures. Consequently a set of criteria were set for judging the suitability of the control algorithms for use in control of civil engineering structures. Various types of existing control algorithms were investigated and finally it was concluded that predictive optimal control algorithms possess good characteristics for purpose of control of civil engineering structures. Among predictive control algorithms, those that use ARMA stochastic models for predicting the ground acceleration are better fitted to the structural control environment because all the past measured excitation is used to estimate the trends of the excitation for making qualified guesses about its coming values. However, existing ARMA based predictive algorithms are devised specially for earthquake and require on-line measurement of the external disturbing load which is not possible for dynamic loads like wind or blast. So, the algorithms are not suitable for tall buildings that experience both earthquake and wind loads during their life. Consequently, it was decided to establish a new closed loop predictive optimal control based on ARMA models as the first phase of the study. In this phase it was initially established that ARMA models are capable of predicting response of a linear SDOF system to the earthquake excitation a few steps ahead. The results of the predictions encouraged a search for finding a new closed loop optimal predictive control algorithm for linear SDOF structures based on prediction of the response by ARMA models. The second part of phase I, was devoted to developing and testing the proposed algorithm The new developed algorithm is different from other ARMA based optimal controls since it uses ARMA models for prediction of the structure response while existing algorithms predict the input excitation. Modeling the structure response as an AR or ARMA stochastic process is an effective mean for prediction of the structure response while avoiding measurement of the input excitation. ARMA models used in the algorithm enables it to avoid or reduce the time delay effect by predicting the structure response a few steps ahead. Being a closed loop control, the algorithm is suitable for all structural control conditions and can be used in a single control mechanism for vibration control of tall buildings against wind, earthquake or other random dynamic loads. Consequently the standby time is less than that for existing ARMA based algorithms devised only for earthquakes. This makes the control mechanism more reliable. The proposed algorithm utilizes and combines two different mathematical models. First model is an ARMA model representing the environment and the structure as a single system subjected to the unknown random excitation and the second model is a linear SDOF system which represents the structure subjected to a known past history of the applied control force only. The principle of superposition is then used to combine the results of these two models to predict the total response of the structure as a function of the control force. By using the predicted responses, the minimization of the performance index with respect to the control force is carried out for finding the optimal control force. As phase II, the proposed predictive control algorithm was extended to structures that are more complicated than linear SDOF structures. Initially, the algorithm was extended to linear MDOF structures. Although, the development of the algorithm for MDOF structures was relatively straightforward, during testing of the algorithm, it was found that prediction of the response by ARMA models can not be done as was done for SDOF case. In the SDOF case each of the two components of the state vector (i.e. displacement and velocity) was treated separately as an ARMA stochastic process. However, applying the same approach to each component of the state vector of a MDOF structure did not yield satisfactory results in prediction of the response. Considering the whole state vector as a multi-variable ARMA stochastic vector process yielded the desired results in predicting the response a few steps ahead. In the second part of this phase, the algorithm was extended to non-linear MDOF structures. Since the algorithm had been developed based on the principle of superposition, it was not possible to directly extend the algorithm to non-linear systems. Instead, some generalized response was defined. Then credibility of the ARMA models in predicting the generalized response was verified. Based on this credibility, the algorithm was extended for non-linear MDOF structures. Also in phase II, the stability of a controlled MDOF structure was proved. Both internal and external stability of the system were described and verified. In phase III, some problems of special interest, i.e. soil-structure interaction and control time delay, were investigated and compensated for in the framework of the developed predictive optimal control. In first part of phase III soil-structure interaction was studied. The half-space solution of the SSI effect leads to a frequency dependent representation of the structure-footing system, which is not fit for control purpose. Consequently an equivalent frequency independent system was proposed and defined as a system whose frequency response is equal to the original structure -footing system in the mean squares sense. This equivalent frequency independent system then was used in the control algorithm. In the second part of this phase, an analytical approach was used to tackle the time delay phenomenon in the context of the predictive algorithm described in previous chapters. A generalized performance index was defined considering time delay. Minimization of the generalized performance index resulted into a modified version of the algorithm in which time delay is compensated explicitly. Unlike the time delay compensation technique used in the previous phases of this investigation, which restricts time delay to be an integer multiplier of the sampling period, the modified algorithm allows time delay to be any non-negative number. However, the two approaches produce the same results if time delay is an integer multiplier of the sampling period. For evaluating the proposed algorithm and comparing it with other algorithms, several numerical simulations were carried during the research by using MATLAB and its toolboxes. A few interesting results of these simulations are enumerated below: ARM A models are able to predict the response of both linear and non-linear structures to random inputs such as earthquakes. The proposed predictive optimal control based on ARMA models has produced better results in the context of reducing velocity, displacement, total energy and operational cost compared to classic optimal control. Proposed active control algorithm is very effective in increasing safety and comfort. Its performance is not affected much by errors in the estimation of system parameters (e.g. damping). The effect of soil-structure interaction on the response to control force is considerable. Ignoring SSI will cause a significant change in the magnitude of the frequency response and a shift in the frequencies of the maximum response (resonant frequencies). Compensating the time delay effect by the modified version of the proposed algorithm will improve the performance of the control system in achieving the control goal and reduction of the structural response.
5

Peters, David W. "Design of diffractive optical elements through low-dimensional optimization." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/54614.

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The simulation of diffractive optical structures allows for the efficient testing of a large number of structures without having to actually fabricate these devices. Various forms of analysis of these structures have been done through computer programs in the past. However, programs that can actually design a structure to perform a given task are very limited in scope. Optimization of a structure can be a task that is very processor time intensive, particularly if the optimization space has many dimensions. This thesis describes the creation of a computer program that is able to find an optimal structure while maintaining a low-dimensional search space, thus greatly reducing the processor time required to find the solution. The program can design the optimal structure for a wide variety of planar optical devices that conform to the weakly-guiding approximation with an efficient code that incorporates the low-dimensional search space concept. This work is the first use of an electromagnetic field solver inside of an optimization loop for the design of an optimized diffractive-optic structure.
6

Plessas, Spyridon D. "Fluid-structure interaction in composite structures." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/41432.

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Approved for public release; distribution is unlimited.
In this research, dynamic characteristics of polymer composite beam and plate structures were studied when the structures were in contact with water. The effect of fluid-structure interaction (FSI) on natural frequencies, mode shapes, and dynamic responses was examined for polymer composite structures using multiphysics-based computational techniques. Composite structures were modeled using the finite element method. The fluid was modeled as an acoustic medium using the cellular automata technique. Both techniques were coupled so that both fluid and structure could interact bi-directionally. In order to make the coupling easier, the beam and plate finite elements have only displacement degrees of freedom but no rotational degrees of freedom. The fast Fourier transform (FFT) technique was applied to the transient responses of the composite structures with and without FSI, respectively, so that the effect of FSI can be examined by comparing the two results. The study showed that the effect of FSI is significant on dynamic properties of polymer composite structures. Some previous experimental observations were confirmed using the results from the computer simulations, which also enhanced understanding the effect of FSI on dynamic responses of composite structures.
7

Carpentier, Mathilde. "Méthodes de détection des similarités structurales : caractérisation des motifs conservés dans les familles de structures pour l' annotation des génomes." Paris 6, 2005. http://www.theses.fr/2005PA066571.

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8

Edrees, Tarek. "Structural Identification of Civil Engineering Structures." Licentiate thesis, Luleå tekniska universitet, Byggkonstruktion och -produktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26719.

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Анотація:
The assumptions encountered during the analysis and design of civil engineering structures lead to a difference in the structural behavior between calculations based models and real structures. Moreover, the recent approach in civil engineering nowadays is to rely on the performance-based design approaches, which give more importance for durability, serviceability limit states, and maintenance.Structural identification (St-Id) approach was utilized to bridge the gap between the real structure and the model. The St-Id procedure can be utilized to evaluate the structures health, damage detection, and efficiency. Despite the enormous developments in parametric time-domain identification methods, their relative merits and performance as correlated to the vibrating structures are still incomplete due to the lack of comparative studies under various test conditions and the lack of extended applications and verification of these methods with real-life data.This licentiate thesis focuses on the applications of the parametric models and non-parametric models of the System Identification approach to assist in a better understanding of their potentials, while proposing a novel strategy by combining this approach with the utilization of the Singular Value Decomposition (SVD) and the Complex Mode Indicator Function (CMIF) curves based techniques in the damage detection of structures.In this work, the problems of identification of the vertical frequencies of the top storey in a multi-storey¸ building prefabricated from reinforced concrete in Stockholm, and the existence of damage and damage locations for a bench mark steel frame are investigated. Moreover, the non-parametric structural identification approach to investigate the amount of variations in the modal characteristics (frequency, damping, and modes shapes) for a railway steel bridge will be presented.
Godkänd; 2014; 20141023 (taredr); Nedanstående person kommer att hålla licentiatseminarium för avläggande av teknologie licentiatexamen. Namn: Tarek Edrees Saaed Ämne: Konstruktionsteknik/Structural Engineering Uppsats: Structural Identification of Civil Engineering Structures Examinator: Professor Jan-Erik Jonasson, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet Diskutant: Forskare Andreas Andersson, Brobyggnad inklusive Stålbyggnad, Kungliga Tekniska Högskolan Tid: Torsdag den 20 november 2014 kl 10:00 Plats: F1031, Luleå tekniska universitet
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BABAEI, IMAN. "Structural Testing of Composite Crash Structures." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2910072.

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Rasmussen, Kim J. R. "Stability of thin-walled structural members and systems." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/18194.

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Анотація:
This DEng thesis consists of 83 articles containing research material on the stability of thin-walled structural members and systems with emphasis on metal structures. Metal structures are used widely in the construction industry. They include structural members and frames made from rolled and fabricated steel, cold-formed steel, stainless steel and aluminium. Common to these products is the desire to minimise the cross-sectional area to reduce weight and cost. Structural cross-sections are therefore thin-walled and prone to buckling, and an overriding consideration in the design of metal structures is to account for buckling in determining the strength of sections, members and frames. Specifically, the thesis is concerned with determining the reduction in buckling capacity and strength of structural members and frames caused by cross-sectional buckling and material softening. The thesis presents research under the headings Stainless Steel Structures - Hollow Sections, covering tubular columns, beams and welded connections; Stainless Steel Structures - Open Sections, addressing the effect of distortional buckling and interaction buckling on the design of stainless steel columns and beams; Analysis of Locally Buckled Members and Frames, describing a theory to determine the buckling loads of locally and/or distortionally buckled members and frames; Behaviour and Design of Members and Sections Composed Solely or Predominantly from Unstiffened Elements, outlining analytical, numerical and experimental research to advance the understanding of the behaviour and design of singly symmetric cross-sections made up entirely or predominantly from plate elements, including angle sections, T-sections and plain channel sections; Cold-formed Steel Structural Systems, describing numerical and experimental investigations of steel storage racks including selective and drive-in racking systems; and System-based Design of Steel Structures, developing a general framework for designing steel structural framing systems by advanced analysis, termed the Direct Design Method. The thesis also highlights the implementation of the research outcomes in national and international specifications for the design of steel, cold-formed steel and stainless steel structures.
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Книги з теми "Structures":

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Baerlocher, C., J. M. Bennett, W. Depmeier, A. N. Fitch, H. Jobic, H. van Koningsveld, W. M. Meier, A. Pfenninger, and O. Terasaki, eds. Structures and Structure Determination. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-69749-7.

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2

Holzer, Siegfried M. Computer analysis of structures: Matrix structural analysis structured programming. New York: Elsevier, 1985.

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3

Kwon, Young W. Fluid-Structure Interaction of Composite Structures. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57638-7.

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4

Bui, Tinh Quoc, Le Thanh Cuong, and Samir Khatir, eds. Structural Health Monitoring and Engineering Structures. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0945-9.

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5

Moreira, Pedro M. G. P., Lucas F. M. da Silva, and Paulo M. S. T. de Castro, eds. Structural Connections for Lightweight Metallic Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-18187-0.

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6

Chamis, C. C. Computational structural mechanics for engine structures. [Washington, DC]: National Aeronautics and Space Administration, 1989.

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7

Moore, Fuller. Understanding structures = Introduction to structural systems. Taipei: McGraw Hill, 2000.

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8

Pedro M.G.P. Moreira. Structural Connections for Lightweight Metallic Structures. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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9

International Association for Shell and Spatial Structures, ed. Structural design of retractable roof structures. Southampton: WIT, 2000.

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10

Malcolm, Dixon. Structures. New York: Bookwright Press, 1991.

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Частини книг з теми "Structures":

1

Kahle, Reinhard. "Structure and Structures." In Boston Studies in the Philosophy and History of Science, 109–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93342-9_7.

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2

Hu, Hong-Song. "Peak Superstructure Responses of Single-Story Sliding Base Structures Under Earthquake Excitation." In Sliding Base Structures, 45–65. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5107-9_4.

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AbstractCompared to multistory sliding base (SB) structures, single-story SB structure is simple and suitable for acquiring the critical parameters influencing the structural response. For this reason, this chapter focuses on the peak superstructure responses of single-story SB structures subjected to three-component earthquake excitation. The influence of the vertical earthquake component and various structural and ground motion characteristics on the peak superstructure response are investigated, and simplified design equations are developed. The developed equations also lay a foundation for the design of multistory SB structures, which will be discussed in the next chapter.
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Stimpfle, Bernd. "Structural Air — Pneumatic Structures." In Textile Composites and Inflatable Structures II, 233–52. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6856-0_13.

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4

Williams, M. S., and J. D. Todd. "Introducing structures." In Structures, 1–30. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_1.

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Williams, M. S., and J. D. Todd. "The finite element method." In Structures, 286–314. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_10.

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Williams, M. S., and J. D. Todd. "Buckling and instability." In Structures, 315–43. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_11.

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Williams, M. S., and J. D. Todd. "Plastic analysis of structures." In Structures, 344–73. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_12.

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Williams, M. S., and J. D. Todd. "Structural dynamics." In Structures, 374–409. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_13.

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Williams, M. S., and J. D. Todd. "Plane statics." In Structures, 31–61. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_2.

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Williams, M. S., and J. D. Todd. "Statically determinate structures." In Structures, 62–96. London: Macmillan Education UK, 2000. http://dx.doi.org/10.1007/978-1-349-90789-2_3.

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Тези доповідей конференцій з теми "Structures":

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Downen, Paul, Philip Johnson-Freyd, and Zena M. Ariola. "Structures for structural recursion." In ICFP'15: 20th ACM SIGPLAN International Conference on Functional Programming. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2784731.2784762.

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2

Lee, Yong Kyu, Seong-Joon Yoo, Kyoungro Yoon, and P. Bruce Berra. "Index structures for structured documents." In the first ACM international conference. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/226931.226950.

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3

Bruck, Hugh A. "Processing-Structure-Property Relationships in Hierarchically-Structured Polymer Composites for Multifunctional Structures." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59088.

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This research focuses on elucidating on the processing-structure-property relationship in hierarchically-structured polymer composites that are being developed for multifunctional structures. This is accomplished through characterization of the transition in mechanical behavior that occurs across length scales and compositions by: (a) development of model hierarchically-structured composite materials using a combination of model nanoscale and microscale ingredients (carbon nanofibers (CNFs) and carbon microfibers (CMFs)) reinforcing a High Impact Polystyrene (HIPS) thermoplastic polymer that can be extruded or solvent processed, (b) characterization and modeling of the transition compositions in the polymer nanocomposites through melt rheology, and (c) the effect of the CNF on the dynamic compressive behavior of CMF-reinforced polymer composites.
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WADA, BEN. "Adaptive structures." In 30th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1160.

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5

Leutenegger, Tobias, Dirk H. Schlums, and Jurg Dual. "Structural testing of fatigued structures." In 1999 Symposium on Smart Structures and Materials, edited by Norman M. Wereley. SPIE, 1999. http://dx.doi.org/10.1117/12.350775.

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6

WADA, BEN, and SENOL UTKU. "Adaptive structures for deployment/construction of structures in space." In 33rd Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2339.

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7

Taron, Joshua. "Speculative Structures: Reanimating Latent Structural Intelligence in Agent-based Continuum Structures." In eCAADe 2012 : Digital Physicality. eCAADe, 2012. http://dx.doi.org/10.52842/conf.ecaade.2012.1.365.

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Taron, Joshua. "Speculative Structures: Reanimating Latent Structural Intelligence in Agent-based Continuum Structures." In eCAADe 2012 : Digital Physicality. eCAADe, 2012. http://dx.doi.org/10.52842/conf.ecaade.2012.1.365.

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9

NOOR, AHMED. "Computational structures technology." In 33rd Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2442.

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10

"Structure/Flow Interaction in Inflatable Structures." In 55th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.iac-04-u.3.a.06.

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Звіти організацій з теми "Structures":

1

Weinstein Agrawal, Asha, Samuel Speroni, Michael Manville, and Brian D. Taylor. Pay-As-You-Go Driving: Examining Possible Road-User Charge Rate Structures for California. Mineta Transporation Institute, October 2023. http://dx.doi.org/10.31979/mti.2023.2149.

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This report lays out principles to help California policymakers identify an optimal rate structure for a road-user charge (RUC). The rate structure is different from the rate itself. The rate is the price a driver pays, while the structure is the set of principles that govern how that price is set. We drew on existing research on rate setting in transportation, public utilities, and behavioral economics to develop a set of conceptual principles that can be used to evaluate rate structures, and then applied these principles to a set of mileage fee rate structure options. Key findings include that transportation system users already pay for driving using a wide array of rate structures, including some that charge rate structured based on vehicle characteristics, user characteristics, and time or location of driving. We also conclude that the principal advantage of RUCs is not their ability to raise revenue but rather to variably allocate charges among various types of users and travelers. To obtain those benefits, policymakers need to proactively design rate structures to advance important state policy goals and/or improve administrative and political feasibility.
2

Ebeling, Robert, та Barry White. Load and resistance factors for earth retaining, reinforced concrete hydraulic structures based on a reliability index (β) derived from the Probability of Unsatisfactory Performance (PUP) : phase 2 study. Engineer Research and Development Center (U.S.), березень 2021. http://dx.doi.org/10.21079/11681/39881.

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This technical report documents the second of a two-phase research and development (R&D) study in support of the development of a combined Load and Resistance Factor Design (LRFD) methodology that accommodates geotechnical as well as structural design limit states for design of the U.S. Army Corps of Engineers (USACE) reinforced concrete, hydraulic navigation structures. To this end, this R&D effort extends reliability procedures that have been developed for other non-USACE structural systems to encompass USACE hydraulic structures. Many of these reinforced concrete, hydraulic structures are founded on and/or retain earth or are buttressed by an earthen feature. Consequently, the design of many of these hydraulic structures involves significant soil structure interaction. Development of the required reliability and corresponding LRFD procedures has been lagging in the geotechnical topic area as compared to those for structural limit state considerations and have therefore been the focus of this second-phase R&D effort. Design of an example T-Wall hydraulic structure involves consideration of five geotechnical and structural limit states. New numerical procedures have been developed for precise multiple limit state reliability calculations and for complete LRFD analysis of this example T-Wall reinforced concrete, hydraulic structure.
3

Sullivan, Brian J., and Kent W. Buesking. Structural Integrity of Intelligent Materials and Structures. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada280941.

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4

Fuller, Chris R. Active Structural Acoustic Control and Smart Structures. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada248341.

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5

Inman, Daniel J., Armaghan Salhian, and Pablo Tarazaga. Structural Dynamics of Cable Harnessed Spacecraft Structures. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada588127.

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6

Issa, Mohsen A. Structural Evaluation Procedures for Heavy Wood Truss Structures. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada362404.

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Allen, J., and J. Lauffer. Integrated structural control design of large space structures. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10115453.

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Hadjipanayis, George, and Alexander Gabay. Electronic Structure and Spin Correlations in Novel Magnetic Structures. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1797990.

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Rabiei, Afsaneh. A New Light Weight Structural Material for Nuclear Structures. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1239280.

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Roach, Dennis P., Raymond Bond, and Doug Adams. Structural Health Monitoring for Impact Damage in Composite Structures. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1154712.

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