Osman, Ashraf Mohamed Ahmed (2016) Design Optimization of Composite Deployable Bridge Systems Using Hybrid Meta-heuristic Methods for Rapid Post-disaster Mobility. PhD thesis, Concordia University.
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Abstract
Recent decades have witnessed an increase in the transportation infrastructure damage caused by natural disasters such as earthquakes, high winds, floods, as well as man-made disasters. Such damages result in a disruption to the transportation infrastructure network; hence, limit the post-disaster relief operations. This led to the exigency of developing and using effective deployable bridge systems for rapid post-disaster mobility while minimizing the weight to capacity ratio. Recent researches for assessments of mobile bridging requirements concluded that current deployable metallic bridge systems are prone to their service life, unable to meet the increase in vehicle design loads, and any trials for the structures’ strengthening will sacrifice the ease of mobility. Therefore, this research focuses on developing a lightweight deployable bridge system using composite laminates for lightweight bridging in the aftermath of natural disaster. The research investigates the structural design optimization for composite laminate deployable bridge systems, as well as the design, development and testing of composite sandwich core sections that act as the compression bearing element in a deployable bridge treadway structure.
The thesis is organized into two parts. The first part includes a new improved particle swarm meta-heuristic approach capable of effectively optimizing deployable bridge systems. The developed approach is extended to modify the technique for discrete design of composite laminates and maximum strength design of composite sandwich core sections. The second part focuses on developing, experimentally testing and numerically investigating the performance of different sandwich core configurations that will be used as the compression bearing element in a deployable fibre-reinforced polymer (FRP) bridge girder.
The first part investigated different optimization algorithms used for structural optimization. The uncertainty in the effectiveness of the available methods to handle complex structural models emphasized the need to develop an enhanced version of Particle Swarm Optimizer (PSO) without performing multiple operations using different techniques. The new technique implements a better emulation for the attraction and repulsion behavior of the swarm. The new algorithm is called Controlled Diversity Particle Swarm Optimizer (CD-PSO). The algorithm improved the performance of the classical PSO in terms of solution stability, quality, convergence rate and computational time. The CD-PSO is then hybridized with the Response Surface Methodology (RSM) to redirect the swarm search for probing feasible solutions in hyperspace using only the design parameters of strong influence on the objective function. This is triggered when the algorithm fails to obtain good solutions using CD-PSO. The performance of CD-PSO is tested on benchmark structures and compared to others in the literature. Consequently, both techniques, CD-, and hybrid CD-PSO are examined for the minimum weight design of large-scale deployable bridge structure. Furthermore, a discrete version of the algorithm is created to handle the discrete nature of the composite laminate sandwich core design.
The second part focuses on achieving an effective composite deployable bridge system, this is realized through maximizing shear strength, compression strength, and stiffness designs of light-weight composite sandwich cores of the treadway bridge’s compression deck. Different composite sandwich cores are investigated and their progressive failure is numerically evaluated. The performance of the sandwich cores is experimentally tested in terms of flatwise compressive strength, edgewise compressive strength and shear strength capacities. Further, the cores’ compression strength and shear strength capacities are numerically simulated and the results are validated with the experimental work. Based on the numerical and experimental tests findings, the sandwich cores plate properties are quantified for future implementation in optimized scaled deployable bridge treadway.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering |
|---|---|
| Item Type: | Thesis (PhD) |
| Authors: | Osman, Ashraf Mohamed Ahmed |
| Institution: | Concordia University |
| Degree Name: | Ph. D. |
| Program: | Civil Engineering |
| Date: | 22 August 2016 |
| Thesis Supervisor(s): | Galal, Khaled |
| Keywords: | Meta-heuristic algorithm, Swarm intelligence, Particle swarm optimizer, Controlled diversity, composite sandwich cores, deployable bridges, CFRP beams. |
| ID Code: | 981692 |
| Deposited By: | Ashraf Mohamed Ahmed Osman |
| Deposited On: | 09 Nov 2016 14:18 |
| Last Modified: | 18 Jan 2018 17:53 |
References:
ANSYS, U. M. (1999). Structural Analysis Guide (Version Version 5.6).Ario, I., Chikahiro, Y., and Tanaka, Y. (2011). Dynamic analysis for the prototype of a new type of Mobilebridge TM. Proceedings of the 7th anuual Europian Nonlinear Dynamic Conference. ENOC 2011. July 2011.
Ario, I., Nakazawa, M., Tanaka, Y., Tanikura, I., and Ono, S. (2013). Development of a prototype deployable bridge based on origami skill. Automation in Construction, 32, 104-111.
Arora, J. (2012). Introduction to optimum design. MA, USA & Oxford, UK: Academic Press.
Below, L., Palmer, M., Lindow, D., and Kellogg, D. (2003). Bridging Study: Phase 2. US Army Maneuver Support Center, Fort Leonard Wood, MO.
Bischmann, P. (1985). River Crossing in the Central Region. NATO’s Sixteen Nations, 3, 76.
Box, G. E., and Wilson, K. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society. Series B (Methodological), 13(1), 1-45.
Brown, R. T., & Zureick, A.-H. (2001). Lightweight composite truss section decking. Marine Structures, 14(1–2), 115-132.
C363, A. (2011). C393/C393M − 11, Standard test method for core shear properties of sandwich constructions by beam flexure (Vol. 15.03): American Society for Testing and Materials. West Conshohocken, PA.
C364, A. (2012). C394/C394M − 12, Standard Test Method for Edgewise Compressive Strength of Sandwich Constructions (Vol. 15.03): American Society for Testing and Materials. West Conshohocken, PA.
C365, A. (2011). C395/C395M − 11a, Standard Test Method for Flatwise Compressive Properties of Sandwich Cores (Vol. 15.03): American Society for Testing and Materials. West Conshohocken, PA.
Camp, C. (2007). Design of Space Trusses Using Big Bang–Big Crunch Optimization. Journal of Structural Engineering, 133(7), 999-1008.
Camp, C., and Bichon B. (2004). Design of Space Trusses Using Ant Colony Optimization. Journal of Structural Engineering, 130(5), 741-751.
Camp, C., Pezeshk, S., and Cao, G. (1998). Optimized Design of Two-Dimensional Structures Using a Genetic Algorithm. Journal of Structural Engineering, 124(5), 551-559.
Cao, G. (1996). Optimized design of framed structures using a genetic algorithm. Ph.D. Thesis, The University of Memphis, Ann Arbor.
Chechkin, A. V., Metzler, R., Klafter, J., and Gonchar, V. Y. (2008). Introduction to the theory of Lévy flights, Anomalous Transport: Foundations and Applications, pp. 129-162.
Chikahiro, Y., Ario, I., Nakazawa, M., Ono, S., Holnicki-Szulc, J., Pawlowski, P., and Graczykowski, C. (2014). An experimental study on the design method of a real-sized Mobile Bridge for a moving vehicle. Mobile and Rapidly Assembled Structures IV, 136, 93.
Cluff, L. (2007). Effects of the 2004 Sumatra-Andaman earthquake and Indian Ocean tsunami in Aceh province. bridge-washington-national academy of engineering, 37(1), 12.
Coker, C. (2009). New Options on Military Bridging. Military Technology, 33(3), 42.
Connors, S. C., and Foss, C. F. (2005). Jane's Military Vehicles and Logistics 2005-2006: Jane's Information Group Limited.
Connors, S. C., and Foss, C. F. (2006). Jane's Military Vehicles and Logistics 2005-2006: Jane's Information Group Limited.
Das, S., and Suganthan, P. N. (2011). Differential evolution: A survey of the state-of-the-art. Evolutionary Computation, IEEE Transactions on, 15(1), 4-31.
Davalos, J. F., Qiao, P., Frank Xu, X., Robinson, J., and Barth, K. E. (2001). Modeling and characterization of fiber-reinforced plastic honeycomb sandwich panels for highway bridge applications. Composite structures, 52(3–4), 441-452.
De Jong, K. A. (1975). Analysis of the behavior of a class of genetic adaptive systems. Ph.D. Thesis. University of Michigan, Ann Arbo.
DiMarco, A. (2004). Bridging the gap: Modernizing Army bridge units. Engineer, Prof. Bull., U.S. Army Maneuver Support Center, 2, 20-21.
Dobbs, M., and Nelson, R. (1976). Application of optimality criteria to automated structural design. AIAA journal, 14(10), 1436-1443.
Eberhart, R. C., and Kennedy, J. (1995). A new optimizer using particle swarm theory. Proceedings of the sixth international symposium on micro machine and human science. New York, NY. 39-43
Eberhart, R. C., and Yuhui, S. (2001). Particle swarm optimization: developments, applications and resources. Proceedings of the 2001 Congress on the Evolutionary Computation.
Elbeltagi, E., Hegazy, T., and Grierson, D. (2005). Comparison among five evolutionary-based optimization algorithms. Advanced Engineering Informatics, 19(1), 43-53.
Eslami, M., Shareef, H., Khajehzadeh, M., and Mohamed, A. (2012). A survey of the state of the art in particle swarm optimization. Research Journal of Applied Sciences, Engineering and Technology, 4(9), 1181-1197.
Fiacco, A. V., and McCormick, G. P. (1990). Nonlinear programming: sequential unconstrained minimization techniques: Siam, (Vol. 4).
Fourie, P., and Groenwold, A. (2002). The particle swarm optimization algorithm in size and shape optimization. Structural and Multidisciplinary Optimization, 23(4), 259-267.
Gellatly, R. A. (1966). development of procedures for large scale automated minimum weight structural design: DTIC Document.
Gellatly, R. A., & Berke, L. (1971). Optimal Structural Design: DTIC Document.
Giunta, A. A., Wojtkiewicz, S. F., and Eldred, M. S. (2003). Overview of modern design of experiments methods for computational simulations. Proceedings of the 41st AIAA aerospace sciences meeting and exhibit, AIAA-2003-0649.
Haklı, H., and Uğuz, H. (2014). A novel particle swarm optimization algorithm with Levy flight. Applied Soft Computing, 23(0), 333-345.
Hanus, J., Bank, L., and Oliva, M. (2008). Investigation of a Structural FRP Stay-in-Place Form for a Prototype Military Bridge System. ACI Special Publication, 257, 53-70.
Hashin, Z. (1980). Failure criteria for unidirectional fiber composites. Journal of applied mechanics, 47(2), 329-334.
Hassan, R., Cohanim, B., De Weck, O., and Venter, G. (2005). "A comparison of particle swarm optimization and the genetic algorithm." Proceedings of the 1st AIAA multidisciplinary design optimization specialist conference, 18-21.
Hassan, T., Reis, E. M., and Rizkalla, S. H. (2003). Innovative 3-D FRP sandwich panels for bridge decks. Proceedings of the Fifth Alexandria International Conference on Structural and Geotechnical Engineering.
Haug, E. J., and Arora, J. S. (1979). Applied optimal design: mechanical and structural systems: John Wiley & Sons.
Hetényi, M. (1946). Beams on elastic foundation. The University of Michigan Press;G. Cumberlege, Oxford university press, Ann Arbor; London.
Hoa, S. V. (2009). Principles of the manufacturing of composite materials: DEStech Publications, Inc.
Holland, J. H. (1975). Adaptation in natural and artificial system: an introduction with application to biology, control and artificial intelligence. University of Michigan Press, Ann Arbor.
Jang, S. H., Hwang, I. W., Kwon, B. C., Kim, S. T., and Choi, Y. H. (2012). Structural optimization based on static design criteria of a long span mobile bridge using genetic algorithm. Applied Mechanics and Materials, Trans Tech Publ, 4732-4741.
Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization: Technical report-tr06, Erciyes university, engineering faculty, computer engineering department.
Kaveh, A. (2014). Chaos Embedded Metaheuristic Algorithms Advances in Metaheuristic Algorithms for Optimal Design of Structures: Springer International Publishing. pp. 369-391.
Kaveh, A., and Ghazaan, M. I. (2014). Enhanced colliding bodies optimization for design problems with continuous and discrete variables. Advances in Engineering Software, 77, 66-75.
Kaveh, A., and Khayatazad, M. (2012). A new meta-heuristic method: Ray Optimization. Computers & structures, 112–113, 283-294.
Kaveh, A., Sheikholeslami, R., Talatahari, S., and Keshvari-Ilkhichi, M. (2014). Chaotic swarming of particles: A new method for size optimization of truss structures. Advances in Engineering Software, 67(0), 136-147.
Kaveh, A., and Talatahari, S. (2009a). "Hybrid algorithm of harmony search, particle swarm and ant colony for structural design optimization. Harmony search algorithms for structural design optimization, Springer, Berlin Heidelberg, 159-198.
Kaveh, A., and Talatahari, S. (2009b). Size optimization of space trusses using Big Bang–Big Crunch algorithm. Computers and Structures, 87(17), 1129-1140.
Keller, T., and Gürtler, H. (2005). Quasi-static and fatigue performance of a cellular FRP bridge deck adhesively bonded to steel girders. Composite Structures, 70(4), 484-496.
Keller, T., Rothe, J., De Castro, J., and Osei-Antwi, M. (2013). GFRP-balsa sandwich bridge deck: Concept, design, and experimental validation. Journal of Composite for Construction, 18(2), 04013043.
Kermanidis, T., Labeas, G., Tserpes, K., and Pantelakis, S. (2000). "Finite element modeling of damage accumulation in bolted composite joints under incremental tensile loading." Proceedings of the Third ECCOMAS Congress, 11-14.
kerr, j. v. (1990). "U.S.-German cooperative efforts in military bridging." Army RD&A Bulletin, Headquarters Department of U.S. army, USA, 1-4.
Khan, M., Willmert, K., & Thornton, W. (1979). An optimality criterion method for large-scale structures. AIAA journal, 17(7), 753-761.
Koehler, J., and Owen, A. (1996). "9 Computer experiments." Handbook of Statistics, 13 261-308.
Kosmatka, J. (2011). Composite bridging for military and emergency applications. 8th annual proceeding, Annual Int. Conf. on Composites/Nano Engineering.
Kosmatka, J. B., Grippo, W., Policelli, F., Charbonnet, S., Randolph, B., and Hegimier, G. (2000). Advanced composites for bridge infra-structure renewal- phase II DARPA: University of California San Diego. pp. 326.
Kovács, G., and Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Koza, J. R. (1992). Genetic programming: on the programming of computers by means of natural selection: MIT press. Vol. 1.
Koziel, S., and Yang, X. (2011). Computational optimization, methods and algorithms. Springer. Vol. 356.
Kutner, M. H., Nachtsheim, C. J., Neter, J., and Wasserman, W. (2004). Applied linear regression models. McGraw-Hill Irvin.
Landherr, J. (2008). Dynamic analysis of a FRP deployable box beam.
Lederman, G., You, Z., and Glišić, B. (2014). A novel deployable tied arch bridge. Engineering Structures, 70(0), 1-10.
Lee, K. S., and Geem, Z. W. (2004). A new structural optimization method based on the harmony search algorithm. Computers & structures, 82(9–10), 781-798.
Li, L. J., Huang, Z. B., and Liu, F. (2009). A heuristic particle swarm optimization method for truss structures with discrete variables. Computers and structures, 87(7–8), 435-443.
Li, N., & Li, Y. X. (2012). A Diversity Guided Particles Swarm Optimization. Advanced Materials Research, Trans Tech Publ, 532, 1429-1433.
Link, C. (2003). Development of panel-to-panel connection for use with a pultruded fiber-reinforced-polymer bridge deck system. Civil & Environmental Engineering. Blacksburg, Virginia Polytechnic Institute & State University. MS.
Liu, Z. (2007). Testing and analysis of a fiber-reinforced polymer (FRP) bridge deck. Virginia Polytechnic Institute and State University.
Lopez-Anido, R., Ganga Rao, H. V., Vedam, V., and Overby, N. (1997). Design and evaluation of a modular FRP bridge deck. marketing technical regulatory sessions of the composites institutes international composites expo, 3-Edition.
Luh, G.-C., and Lin, C.-Y. (2008). Optimal design of truss structures using ant algorithm. Structural and Multidisciplinary Optimization, 36(4), 365-379.
Luh, G.-C., and Lin, C.-Y. (2011). Optimal design of truss-structures using particle swarm optimization. Computers & structures, 89(23–24), 2221-2232.
M. Dorigo, and Caro, G. D. (1999, 1999). Ant colony optimization: a new meta-heuristic. Proceedings of the 1999 Congress on Evolutionary Computation. Washington, DC., pp. 1470–1477.
Mukhopadhyay, T., Dey, T. K., Dey, S., and Chakrabarti, A. (2015). Optimisation of Fibre-Reinforced Polymer Web Core Bridge Deck—A Hybrid Approach. Structural Engineering International, 25(2), 173-183.
Myers, R. H., Montgomery, D. C., and Anderson-Cook, C. (2009). Response surface methodology: product and process optimization using designed experiments: John Wiley & Sons, New York.
Navy, U. S. (2005). US Navy 050127-N-0057P-268 tsunami rescue effort near Banda Aceh, Sumatra, Indonesia,. from https://commons.wikimedia.org/wiki/File:US_Navy_050127-N-0057P-268
NOAA. (1998). Mitch: The Deadliest Atlantic Hurricane Since 1780. Retrieved Sept. 30, 2014, from http://www.ncdc.noaa.gov/oa/reports/mitch/mitch.html
Nor, N. M. (2011). Simulation analysis of a foldable carbon fiber reinforced polymer bridge prototype. National Postgraduate Conference (NPC), IEEE, 1-4.
Nor, N. M., Agusril, S., Alias, M. Y., Mujahid, A. A. Z., and Shohaimi, A. (2012). Dynamic Analysis of Sandwiched Composite Foldable Structure under Heavy Vehicle Load. Applied Mechanics and Materials, Trans Tech Publ, 110, 2331-2336.
Osei-Antwi, M., de Castro, J., Vassilopoulos, A. P., & Keller, T. (2013). FRP-balsa composite sandwich bridge deck with complex core assembly. Journal of Composites for Construction, 17(6).
Osman, A. (2006). Optimum Design or Orthotropic Metallic Deck Bridges. M. Sc. Thesis, Military Technical College, Egypt.
Pant, M., Radha, T., and Singh, V. P. (2007). A Simple Diversity Guided Particle Swarm Optimization. IEEE Congress on the Evolutionary Computation. CEC 2007.
Paulo, R. (1976). optimization of multi-constrained structures based on optimality criteria. 17th Structures, Structural Dynamics, and Materials Conference: American Institute of Aeronautics and Astronautics.
Perez, R. E., and Behdinan, K. (2007). Particle swarm approach for structural design optimization. Computers and structures, 85(19–20), 1579-1588.
Poloni, C., Pediroda, V., Clarich, A., and Steven, G. (2002). The use of Design of Experiments (DOE) and Response Surface Analysis (RSA) in PSO. Product and System Optimization (PSO) (pp. 3). Copenhagen.
Repetski, E. J. (2003). Assessment of Bridging Requirements and Current Bridging Capabilities for use of Legacy Heavy Forces Inside the Contemporary Operational Environment: DTIC Document.
Reyes-Sierra, M., and Coello, C. C. (2006). Multi-objective particle swarm optimizers: A survey of the state-of-the-art. International journal of computational intelligence research, 2(3), 287-308.
Riget, J., and Vesterstrøm, J. S. (2002). A diversity-guided particle swarm optimizer-the ARPSO. Dept. Comput. Sci., Univ. of Aarhus, Aarhus, Denmark, Tech. Rep, 2, 2002.
Robinson, M., and Kosmatka, J. (2010). Experimental dynamic response of a short-span composite bridge to military vehicles. Journal of Bridge Engineering, 16(1), 166-170.
Robinson, M., and Kosmatka, J. (2008a). Development of a Short-Span Fiber-Reinforced Composite Bridge for Emergency Response and Military Applications. Journal of Bridge Engineering, 13(4), 388-397.
Robinson, M., and Kosmatka, J. (2008b). Light-weight fiber-reinforced polymer composite deck panels for extreme applications. Journal of Composites for Construction, 12(3), 344-354.
Robinson, M. J. (2008). Simulation of the vacuum assisted resin transfer molding (VARTM) process and the development of light-weight composite bridging. PhD Thesis, UCSD, San Diego, California.
Russell, B. R., and Thrall, A. P. (2012). Portable and rapidly deployable bridges: Historical perspective and recent technology developments. Journal of Bridge Engineering, 18(10), 1074-1085.
Saatcioglu, M., Ghobarah, A., and Nistor, I. (2006). Performance of structures in Indonesia during the December 2004 great Sumatra earthquake and Indian Ocean tsunami. Earthquake Spectra, 22(S3), 295-319.
Santner, T. J., Williams, B. J., and Notz, W. I. (2013). The design and analysis of computer experiments: Springer Science & Business Media.
Schmit, L. A., and Farshi, B. (1974). Some approximation concepts for structural synthesis. AIAA journal, 12(5), 692-699.
Schmit, L. A., and Miura, H. (1976). Approximation concepts for efficient structural synthesis: US National Aeronautics and Space Administration. NASA Contractor Report, 2552
Schutte, J. F., and Groenwold, A. A. (2003). Sizing design of truss structures using particle swarms. Structural and Multidisciplinary Optimization, 25(4), 261-269.
Shi, Y. (2001). Particle swarm optimization: developments, applications and resources. IEEE Proceedings of the Congress on evolutionary computation, 81-86.
Shi, Y., and Eberhart, R. (1998). A modified particle swarm optimizer. Evolutionary Computation Proceedings, The 1998 IEEE World Congress on Computational Intelligence. 69-73.
Shokrieh, M., Lessard, L., & Poon, C. (1996). Three-dimensional progressive failure analysis of pin/bolt loaded composite laminates. The AGARD Conference Proceedings, Neuilly-Sur-Seine, France.
Siegel, R. A. (2000). America's Grand Strategy Choices: DTIC Document.
Tanweer, M. R., Suresh, S., and Sundararajan, N. (2015). Self regulating particle swarm optimization algorithm. Information Sciences, 294(0), 182-202.
Thomas, A. S., and Kopczak, L. R. (2005). From logistics to supply chain management: the path forward in the humanitarian sector. Fritz Institute, 15, 1-15.
Thomas, G. R., and Sia, B. J. (2013). A Rapidly Deployable Bridge System Structures Congress 2013: Bridging Your Passion with Your Profession, ASCE, 656-667.
Trilateral Design and Test Code For Military Bridging and Gap Crossing Equipment. (May 2005): Trilateral Design and Analysis Group of the United States, Federal Republic of Germany and the United Kingdom of Great Britain.
Tuwair, H., Volz, J., ElGawady, M., Mohamed, M., Chandrashekhara, K., and Birman, V. (2015). Testing and Evaluation of Polyurethane-Based GFRP Sandwich Bridge Deck Panels with Polyurethane Foam Core. Journal of Bridge Engineering, 0(0).
Venkayya, V. (1971). Design of optimum structures. Computers and structures, 1(1), 265-309.
Venkayya, V., Khot, N., and Reddy, V. (1968). Optimization of structures based on the study of energy distribution: DTIC Document.
Wight, R., Erki, M., Shyu, C., Tanovic, R., and Heffernan, P. (2006). Development of FRP short-span deployable bridge-Experimental results. Journal of Bridge Engineering, 11(4), 489-498.
Williams;, B., Shehata;, E., and Rizkalla, S. H. (2003). Filament-Wound Glass Fiber Reinforced Polymer Bridge Deck Modules. Journal of Composites for Construction, 7(3), 266-273.
Winney, M. (1994). On active service. New Civil Engineer (1077), Page. 1-20.
Xia, R., and Liu, P. (1987). Structural optimization based on second-order approximations of functions and dual theory. Computer Methods in Applied Mechanics and Engineering, 65(2), 101-114.
Xie, A. Y. (2007). Development of an FRP deployable bridge. M. Sc.Thesis, Royal Military College of Canada (Canada), Ann Arbor.
Yin, S., Lin, J., and Huang, P. (2013). Studies on new forms of portable bridges for disaster relief. Proceedings of the Thirteenth East Asia-Pacific Conference on Structural Engineering and Construction (EASEC-13), the Thirteenth East Asia-Pacific Conference on Structural Engineering and Construction (EASEC-13), G-3-2.
Yuhui, S., and Eberhart, R. (1998). A modified particle swarm optimizer. Procedings on the Evolutionary Computation, 1998.
Zetterberg, T., Åström, B. T., Bäcklund, J., and Burman, M. (2001). On design of joints between composite profiles for bridge deck applications. Composite structures, 51(1), 83-91.
Zhang, D., Zhao, Q., Huang, Y., Li, F., Chen, H., and Miao, D. (2014). Flexural properties of a lightweight hybrid FRP-aluminum modular space truss bridge system. Composite structures, 108, 600-615.
Zhou, A. (2002). Stiffness and Strength of Fiber Reinforced Polymer Composite Bridge Deck Systems. Ph.D. Thesis, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.
Zhou, A., Coleman, J. T., Temeles, A. B., Lesko, J. J., and Cousins, T. E. (2005). Laboratory and field performance of cellular fiber-reinforced polymer composite bridge deck systems. Journal of Composites for Construction, 9(5), 458-467.
Zhou, A., Qu, B.-Y., Li, H., Zhao, S.-Z., Suganthan, P. N., and Zhang, Q. (2011). Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm and Evolutionary Computation, 1(1), 32-49.
Zhou, M., and Rozvany, G. (1993). DCOC: an optimality criteria method for large systems Part II: algorithm. Structural optimization, 6(4), 250-262.
Zhu, J., and Lopez, M. M. (2014). Performance of a lightweight GFRP composite bridge deck in positive and negative bending regions. Composite structures, 113(0), 108-117.
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