Reliability-Based Optimum Design for Multiaxial Fiber Reinforced Laminate Systems

1992 ◽  
pp. 339-350
Author(s):  
S. Shao ◽  
M. Miki ◽  
Y. Murotsu
Keyword(s):  
Optimum Design ◽  
Fiber Reinforced

Optimum Design of Composite Pressure Vessel Based on 3-Dimensional Failure Criteria

2019 ◽  
Author(s):  
J. Sakai ◽  
Y. H. Park
Keyword(s):  
Optimum Design ◽  
Pressure Vessel ◽  
Composite Laminates ◽  
Three Dimensional ◽  
Weight Ratio ◽  
High Strength ◽  
Failure Criteria ◽  
Pressure Vessels ◽  
Fiber Reinforced ◽  
3D Elasticity

Abstract Anisotropic composite cylinders and pressure vessels have been widely employed in automotive, aerospace, chemical and other engineering areas due to high strength/stiffness-to-weight ratio, exceptional corrosion resistance, and superb thermal performance. Pipes, fuel tanks, chemical containers, rocket motor cases and aircraft and ship elements are a few examples of structural application of fiber reinforced composites (FRCs) for pressure vessels/pipes. Since the performance of composite materials replies on the tensile and compressive strengths of the fiber directions, the optimum design of composite laminates with varying fiber orientations is desired to minimize the damage of the structure. In this study, a complete mathematical 3D elasticity solution was developed, which can accurately compute stresses of a thick multilayered anisotropic fiber reinforced pressure vessel under force and pressure loadings. A rotational variable is introduced in the formalism to treat torsional loading in addition to force and pressure loadings. Then, the three-dimensional Tsai-Wu criterion is used based on the analytical solution to predict the failure. Finally, a global optimization algorithm is used to find the optimum fiber orientation and their best combination through the thickness direction.

Optimum Design of Carbon Fiber-Reinforced Polymer (CFRP) Beams for Shear Capacity via Machine Learning Methods

2020 ◽  
pp. 85-103
Author(s):  
Melda Yucel ◽  
Aylin Ece Kayabekir ◽  
Sinan Melih Nigdeli ◽  
Gebrail Bekdaş
Keyword(s):  
Machine Learning ◽  
Carbon Fiber ◽  
Optimum Design ◽  
Prediction Models ◽  
Shear Capacity ◽  
Fiber Reinforced ◽  
Error Performance ◽  
Carbon Fiber Reinforced Polymers ◽  
Design Variables ◽  
Carbon Fiber Reinforced

In this chapter, an application for demonstrating prediction success and error performance of ensemble methods combined via various machine learning and artificial intelligence algorithms and techniques was performed. For this reason, two single method was selected and combination models with Bagging ensemble was constructed and operated in the direction optimum design of concrete beams covering with carbon fiber reinforced polymers (CFRP) by ensuring the determination of design variables. The first part was optimization problem and method composing from an advanced bio-inspired metaheuristic called Jaya algorithm. Machine learning prediction methods and their operation logics were detailed. Performance evaluations and error indicators were represented for prediction models. In the last part, performed prediction applications and created models were introduced. Also, obtained prediction success for main model generated with optimization results was utilized to determine the optimum predictions about test models.

Optimum Design of Natural Fiber Reinforced Brake Friction Material Using Hybrid Entropy-VIKOR Approach

2016 ◽  
Vol 22 (11) ◽  
pp. 3961-3964 ◽  
Author(s):  
Naresh Kumar ◽  
Tej Singh ◽  
R. S Rajoria ◽  
Amar Patnaik
Keyword(s):  
Optimum Design ◽  
Natural Fiber ◽  
Friction Material ◽  
Fiber Reinforced ◽  
Brake Friction Material

Flexural Strength Analysis of Basalt Fiber Reinforced Composite Layup Structure

2016 ◽  
Vol 1133 ◽  
pp. 121-125
Author(s):  
Hanif Muqsit ◽  
Ali Nawaz Mengal ◽  
Saravanan Karupannan
Keyword(s):  
Flexural Strength ◽  
Optimum Design ◽  
Composite Structure ◽  
Basalt Fiber ◽  
Strength Analysis ◽  
Composite Panels ◽  
Fiber Reinforced ◽  
Flexural Test ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite

In this study, the focus was on the optimum design of laminate stacking sequences (LSS) of basalt fiber reinforced composite (BFRP) structure. Eleven rectangular composite panels with different stacking sequences and fiber orientations were analyzed. A three-point flexural test according to ASTM D790 was carried out in ANSYS to simulate the basalt fiber reinforced composite layup flexural strength. From the results, it was found that the composite structure layup of [0/0/45/0/0]s has the highest strength among all samples.

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