Academic literature on the topic 'Structural analysis (Engineering) Structural engineering'

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Journal articles on the topic "Structural analysis (Engineering) Structural engineering"

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

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

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

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

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

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

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

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Duchesne, D. P. J., and J. L. Humar. "Engineering software – a structural consultant's perspective." Canadian Journal of Civil Engineering 18, no. 2 (April 1, 1991): 303–11. http://dx.doi.org/10.1139/l91-035.

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The advantages that automatic computing offers in structural analysis, design, and drafting are now well known. Computers offer great speed and accuracy in the process of analysis and design, relieving the engineer of the drudgery of number crunching, permitting more time for innovation and creativity, and affording the opportunity of trying out several design alternatives. However, to realize the productivity gains and the improvements in design quality that computers offer, the engineer must be aware of the many pitfalls and problems associated with computerization: the financial commitment, the need for training, the difficulty in obtaining quality software, and the risk associated with using unreliable software compounded by the inadvertent complacency that computer usage may encourage. This paper attempts to provide an overview of the issues involved in computerizing a structural engineer's office. The advantages and disadvantages of computerization are discussed. The additional management responsibilities that computerization brings are highlighted. The types of software usually needed in a structural office are outlined. The constituents of good software are discussed with reference to user interface, analysis and design procedures, output, documentation, and program architecture. Finally, the concept of computer integration in structural design is explained and an example if provided to illustrate the technique. Key words: structural, computer, software, consultants, buildings, integration.
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Igusa, T., S. G. Buonopane, and B. R. Ellingwood. "Bayesian analysis of uncertainty for structural engineering applications." Structural Safety 24, no. 2-4 (April 2002): 165–86. http://dx.doi.org/10.1016/s0167-4730(02)00023-1.

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

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Dissertations / Theses on the topic "Structural analysis (Engineering) Structural engineering"

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Segreti, John Michael. "Fatigue analysis methods in offshore structural engineering." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/19287.

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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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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.
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Liu, Wenjie. "Structural dynamic analysis and testing of coupled structures." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246801.

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Uwizerimana, Salome. "Structural Modeling and Dynamic Analysis of Nuclear Power Plant Structures." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1449489161.

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Vogel, Ryan N. "Structural-Acoustic Analysis and Optimization of Embedded Exhaust-Washed Structures." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1374833633.

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Van, Rooyen G. C. (Gert Cornelis). "Structural analysis in a distributed collaboratory." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53069.

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Thesis (PhD)--University of Stellenbosch, 2002.
ENGLISH ABSTRACT: Structural analysis is examined in order to identify its essential information requirements, its fundamental tasks, and the essential functionalities that applications which support it should provide. The special characteristics of the information content of structural analysis and the algorithms that operate on it are looked into and exploited to devise data structures and utilities that provide proper support of the analysis task within a local environment, while presenting the opportunity to be extended to the context of a distributed network-based collaboratory as well. Aspects regarding the distribution of analysis parameters and methods are analysed and alternatives are evaluated. The extentions required to adapt the local data structures and utilities for use in a distributed communication network are developed and implemented in pilot form. Examples of collaborative analysis are shown, and an evaluation of the overhead involved in distributed work is performed.
AFRIKAANSE OPSOMMING: 'n Ondersoek van die struktuuranalise-taak word uitgevoer waarin die kerninligtingsbehoeftes en fundamentele take daarvan, asook die vereisde funksionaliteit van toepassings wat dit ondersteun bepaal word. Die besondere eienskappe van struktuuranalise-inligting en die algoritmes wat daarop inwerk word ondersoek en benut om data strukture en metodes te ontwikkel wat die analise-taak goed ondersteun in In lokale omgewing, en wat terselfdertyd die moontlikheid bied om sodanig uitgebrei te word dat dit ook die taak in 'n verspreide samewerkingsgroepering kan ondersteun. Aspekte van die verspreiding van analiseparameters en metodes word ondersoek en alternatiewe oplossings word evalueer. Die uitbreidings wat nodig is om die datastrukture en metodes van die lokale omgewing aan te pas vir gebruik in verspreide kommunikasienetwerke word ontwikkel en in loodsvorm toegepas. Voorbeelde van samewerking-gebasseerde analise word getoon, en die oorhoofse koste verbonde aan analise in 'n verdeelde omgewing word evalueer.
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ALLEN, JAMES H. III. "EFFECTS OF SUBCOMPONENT ANALYSIS IN PREDICTING OVERALL STRUCTURAL SYSTEM DYNAMIC RESPONSE." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172819490.

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Shaikhutdinov, Rustem V. "Structural damage evaluation : theory and applications to earthquake engineering /." Pasadena : California Institute of Technology, Earthquake Engineering Research Laboratory, 2004. http://caltecheerl.library.caltech.edu.

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Jang, Jae Won. "Characterization of live modeling performance boundaries for computational structural mechanics /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/10178.

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El-Labbar, O. F. A. "Formex graphics in structural analysis." Thesis, University of Surrey, 1986. http://epubs.surrey.ac.uk/847403/.

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Computer-aided structural analysis processes are highly dependent on the use of computer graphics. The objective of this work is to evolve techniques that allow structural analysts, designers and architects to work with computer graphics in a convenient manner. The formex approach of data generation is explained through a number of examples. This approach enables data to be generated very conveniently for the purposes of structural analysis. Also, introduced are the main features of an interactive programming language which acts as a vehicle to implement the concepts of formex algebra. An attempt to investigate the possibility of using the concepts of formex graphics in postprocessing stages of structural analysis is presented. This enables output of structural analysis programs to be graphically displayed so that plots of structural configurations can be shown in both their deformed and undeformed shapes. It is also shown that it is possible to employ the concepts of formex graphics in order to produce axial force, shear force, bending moment and torque diagrams in a manner that they can be visualized conveniently.
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Books on the topic "Structural analysis (Engineering) Structural engineering"

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Camilleri, Matthew L. Structural analysis. Edited by ebrary Inc. New York: Nova Science Publishers, Inc., 2010.

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Hibbeler, R. C. Structural analysis. 2nd ed. New York: Macmillan, 1990.

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Structural analysis. 8th ed. Boston: Prentice Hall, 2012.

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Hibbeler, R. C. Structural analysis. 7th ed. Upper Saddle River, N.J: Pearson/Prentice Hall, 2009.

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Hibbeler, R. C. Structural analysis. 5th ed. Upper Saddler River, N.J: Prentice Hall, 2002.

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Hibbeler, R. C. Structural analysis. 3rd ed. Upper Saddle River, NJ: Prentice Hall, 1997.

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Structural analysis. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1990.

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Hibbeler, R. C. Structural analysis. 4th ed. Upper Saddler River, NJ: Prentice Hall, 1999.

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Structural analysis. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1995.

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Hibbeler, R. C. Structural analysis. 3rd ed. London: Prentice Hall International, 1994.

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Book chapters on the topic "Structural analysis (Engineering) Structural engineering"

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Bauchau, O. A., and J. I. Craig. "Engineering structural analysis." In Structural Analysis, 137–70. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2516-6_4.

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Spencer, W. J. "Introduction to Structural Engineering." In Fundamental Structural Analysis, 1–12. London: Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-19582-4_1.

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Spencer, W. J. "Introduction to Structural Engineering." In Fundamental Structural Analysis, 1–12. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4757-2006-8_1.

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Gerstle, Kurt H. "Structural Analysis." In Handbook of Concrete Engineering, 820–54. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4757-0857-8_25.

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Chandrasekaran, Srinivasan. "Reliability Analysis." In Offshore Structural Engineering, 119–76. Boca Raton : Taylor & Francis, 2016. | “A CRC title.”: CRC Press, 2017. http://dx.doi.org/10.1201/b21572-3.

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Zatarain, Mikel. "Structural Analysis." In CIRP Encyclopedia of Production Engineering, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35950-7_6543-4.

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Zatarain, Mikel. "Structural Analysis." In CIRP Encyclopedia of Production Engineering, 1165–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-20617-7_6543.

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Zatarain, Mikel. "Structural Analysis." In CIRP Encyclopedia of Production Engineering, 1629–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-53120-4_6543.

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Wong, Tuck Seng, and Kang Lan Tee. "Structural Analysis." In A Practical Guide to Protein Engineering, 29–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56898-6_3.

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Chen, W. F., and D. J. Han. "Limit Analysis of Engineering Structures." In Plasticity for Structural Engineers, 492–599. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3864-5_9.

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Conference papers on the topic "Structural analysis (Engineering) Structural engineering"

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Moon, Kyoung Sun. "Design-Oriented Structural Engineering Education." In 19th Analysis and Computation Specialty Conference. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41131(370)34.

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ARBOCZ, J., and J. HOL. "SHELL STABILITY ANALYSIS IN A COMPUTER AIDED ENGINEERING (CAE) ENVIRONMENT." In 34th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1333.

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Riha, D., M. Enright, H. Millwater, Y. T. Wu, and B. Thacker. "Probabilistic engineering analysis using the NESSUS software." In 41st Structures, Structural Dynamics, and Materials Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-1512.

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Krajewski, J. E. "Management Information Systems in Structural Engineering." In 19th Analysis and Computation Specialty Conference. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41131(370)36.

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Freidenberg, Aaron, Jakob C. Bruhl, Christopher H. Conley, and Charles L. Randow. "High Fidelity Structural Analysis for Undergrad Structural Engineering Students." In Structures Conference 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481349.051.

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Guo, Qianru, Ann E. Jeffers, and David J. Jacoby. "Reliability Analysis in Structural Fire Engineering." In AEI 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480502.055.

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Mlakar, Paul F., Donald O. Dusenberry, James R. Harris, Gerald Haynes, Long T. Phan, and Mete A. Sozen. "Structural Analysis of the Damaged Structure at the Pentagon." In Third Forensic Engineering Congress. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40692(241)3.

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Leuridan, Jan, and Willy Bakkers. "Integrated Engineering for Optimized Structural Dynamics Analysis." In Earthmoving Industry Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1992. http://dx.doi.org/10.4271/920909.

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Curran, Qinxian C., and Karen E. Willcox. "Sensitivity Analysis Methods for Mitigating Uncertainty in Engineering System Design." In 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0899.

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Yao, ShiPing, Robert E. Harrison, Jan R. Wright, Aleksandar Pavic, and Paul Reynolds. "Humans Jumping on Flexible Structures: Effect of Structural Properties." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58572.

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The behaviour of humans jumping on flexible structures has become a matter of some importance for both structural integrity and also human tolerance. The issue is of great interest for stadia, footbridge and floor structures. A test rig has been developed for exploring the forces, accelerations and displacements that occur when a human subject jumps on a flexible structure where motion can be perceived. In tests reported earlier, it was found that the human is able to generate near resonant response of the structure but it was extremely difficult, if not impossible, to jump at or very near to the natural frequency of the structure when the structural vertical motion is significant. Also, the force developed by the subject was found to drop significantly near resonance. In this paper, the effect of the subject-to-structure mass ratio and the damping ratio of the structure on the ability of the subject to jump near resonance, and on the force drop out, is presented. It is shown that as the structure becomes more massive and more highly damped it moves less for nominally the same jumping excitation. In this situation, it becomes easier to jump near resonance and the degree of force drop out reduces, though it is still significant.
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Reports on the topic "Structural analysis (Engineering) Structural engineering"

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Patel, Reena, David Thompson, Guillermo Riveros, Wayne Hodo, John Peters, and Felipe Acosta. Dimensional analysis of structural response in complex biological structures. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41082.

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The solution to many engineering problems is obtained through the combination of analytical, computational and experimental methods. In many cases, cost or size constraints limit testing of full-scale articles. Similitude allows observations made in the laboratory to be used to extrapolate the behavior to full-scale system by establishing relationships between the results obtained in a scaled experiment and those anticipated for the full-scale prototype. This paper describes the application of the Buckingham Pi theorem to develop a set of non-dimensional parameters that are appropriate for describing the problem of a distributed load applied to the rostrum of the paddlefish. This problem is of interest because previous research has demonstrated that the rostrum is a very efficient structural system. The ultimate goal is to estimate the response of a complex, bio-inspired structure based on the rostrum to blast load. The derived similitude laws are verified through a series of numerical experiments having a maximum error of 3.39%.
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Hartman, Joseph P., John J. Jaeger, John J. Jobst, Deborah K. Martin, and James Bigham. Computer-Aided Structural Engineering (CASE) Project. User's Guide: Pile Group Analysis (CPGA) Computer Program. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada212544.

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Carruth, William D. Evaluation of In-Place Asphalt Recycling for Airfield Applications. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41142.

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Over the last few decades, in-place recycling of asphalt pavements has seen increased use by the highway industry, primarily to take a dvantage of potential cost and logistical savings compared to conventional reconstruction. More recently, the U.S. Navy and Federal Aviation Administration have allowed recycling to be used on airfields with lighter traffic. This report contains a discussion of in-place recycling design considerations obtained from a literature review of its use in the highway industry. Observations developed from a review of airfield pavement projects that have utilized recycling is also included. A structural analysis was performed using the Pavement-Transportation Computer Assisted Structural Engineering (PCASE) tool to determine typical stiffness values that recycled layers must achieve to support various types of military aircraft traffic for different pavement structures. Overall, in-place recycling is recommended for consideration as a rehabilitati on technique for military airfield pavements, and further investigation is recommended before it is implemented it into design guidance.
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4

Adeoye, Blessing, Victor Aviles, and Beth Brucker. Application of Visualization in Structural Engineering Design. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada371487.

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5

Author, Not Given. Structural engineering, mechanics and materials: Final report. Office of Scientific and Technical Information (OSTI), January 1988. http://dx.doi.org/10.2172/6253183.

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6

Hurley, John P., and John P. Kay. Task 6.3 - Engineering Performance of Advanced Structural Materials. Office of Scientific and Technical Information (OSTI), June 1997. http://dx.doi.org/10.2172/16124.

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Kim, Ki-Bum, Jimmy Xu, and Ho-Ki Lyeo. Nano-Material and Structural Engineering for Thermal Highways. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada586780.

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8

John P. Hurley and John P. Kay. Task 6.3/6.7.4 - Engineering Performance of Advanced Structural Materials. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/1722.

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9

Lamb, William A. The Air Force Nuclear Engineering Center structural activation and integrity evaluation. Office of Scientific and Technical Information (OSTI), March 1990. http://dx.doi.org/10.2172/307938.

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Stangle, G. C., V. R. W. Amarakoon, and W. A. Schulze. Combustion synthesis and engineering of nanoparticles for electronic, structural and superconductor applications. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/6394635.

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