Reliability Evaluation of a Laminate Composite Plate Under Distributed Pressure Using a Hybrid Response Surface method

2017 ◽  
Vol 24 (03) ◽  
pp. 1750013 ◽  
Author(s):  
Ying Zhao ◽  
Mohammad Noori ◽  
Wael A. Altabey ◽  
Naiwei Lu
Keyword(s):  
Response Surface ◽  
Composite Plate ◽  
Laminate Composite ◽  
Fuzzy Theory ◽  
Reliability Evaluation ◽  
Evaluation Framework ◽  
Laminate Composite Plate ◽  
Comprehensive Reliability ◽  
Load Types ◽  
Member Size

The inherent variability of major infrastructure can be associated with structural properties such as member size and geometry, elastic constants, density, strength characteristics or external load types. These variables and factors may give rise to risk, safety and uncertainty for general structures. In this paper, a comprehensive reliability evaluation framework is presented for a laminate composite plate under hydrostatic pressure. An establishment and verification of a response surface, the determination of performance function in terms of input and output random variables, and the comparative application of combined algorithms such as Monte Carlo simulation, artificial neural network and fuzzy theory are conducted.

scholarly journals Static and dynamic analyses of stiffened folded laminate composite plate

2013 ◽  
Vol 35 (1) ◽  
pp. 31-50
Author(s):  
Bui Van Binh ◽  
Tran Ich Thinh ◽  
Tran Minh Tu
Keyword(s):  
Composite Plate ◽  
Laminate Composite ◽  
Plate Theory ◽  
Mode Shapes ◽  
Mindlin Plate ◽  
Laminate Composite Plate ◽  
Dynamic Analyses ◽  
Mindlin Plate Theory ◽  
Matlab Programming ◽  
Good Agreement

This paper presents some numerical results of bending and vibration analyses of an unstiffened and stiffened folded laminate composite plate using finite element method. The effects of fiber orientations, boundary conditions, stiffener conditions of the plates for deflections, natural frequencies, and the corresponding mode shapes, transient displacement responses were considered. The Matlab programming using rectangular isoparametric plate element with five degree of freedom per node based on Mindlin plate theory was built to solve the problems. A good agreement is found between the results of this technique and other published results available in the literature.

scholarly journals Bending and vibration analysis of multi-folding laminate composite plate using finite element method

2012 ◽  
Vol 34 (3) ◽  
pp. 185-202 ◽  
Author(s):  
Tran Ich Thinh ◽  
Bui Van Binh ◽  
Tran Minh Tu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Vibration Analysis ◽  
Composite Plate ◽  
Degrees Of Freedom ◽  
Laminate Composite ◽  
Shear Deformation Theory ◽  
Laminate Composite Plate ◽  
First Order ◽  
Element Method

This paper deals with the bending and vibration analysis of multi-folding laminate composite plate using finite element method based on the first order shear deformation theory (FSDT). The algorithm and Matlab code using eight nodded rectangular isoparametric plate element with five degrees of freedom per node were built for numerical simulations. In the numerical results, the effect of folding angle on deflections, natural frequencies and transient displacement response for different boundary conditions of the plate were investigated.

scholarly journals Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades

Materials ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2341 ◽  
Author(s):  
Chun-Yi Zhang ◽  
Ze Wang ◽  
Cheng-Wei Fei ◽  
Zhe-Shan Yuan ◽  
Jing-Shan Wei ◽  
...  
Keyword(s):  
Machine Learning ◽  
Response Surface ◽  
Turbine Blade ◽  
Response Surface Method ◽  
Fuzzy Theory ◽  
Turbine Blades ◽  
Learning Method ◽  
Reliability Based Design Optimization ◽  
Reliability Based Design ◽  
Surface Method

The effectiveness of a model is the key factor of influencing the reliability-based design optimization (RBDO) of multi-failure turbine blades in the power system. A machine learning-based RBDO approach, called fuzzy multi-SVR learning method, was proposed by absorbing the strengths of fuzzy theory, support vector machine of regression (SVR), and multi-response surface method. The model of fuzzy multi-SVR learning method was established by adopting artificial bee colony algorithm to optimize the parameters of SVR models and considering the fuzziness of constraints based on fuzzy theory, in respect of the basic thought of multi-response surface method. The RBDO model and procedure with fuzzy multi-SVR learning method were then resolved and designed by multi-objective genetic algorithm. Lastly, the fuzzy RBDO of a turbine blade with multi-failure modes was performed regarding the design parameters of rotor speed, temperature, and aerodynamic pressure, and the design objectives of blade stress, strain, and deformation, and the fuzzy constraints of reliability degree and boundary conditions, as well. It is revealed (1) the stress and deformation of turbine blade are reduced by 92.38 MPa and 0.09838 mm, respectively. (2) The comprehensive reliability degree of the blade was improved by 3.45% from 95.4% to 98.85%. (3) It is verified that the fuzzy multi-SVR learning method is workable for the fuzzy RBDO of complex structures just like a multi-failure blade with high modeling precision, as well as high optimization, efficiency, and accuracy. The efforts of this study open a new research way, i.e., machine learning-based RBDO, for the RBDO of multi-failure structures, which expands the application of machine learning methods, and enriches the mechanical reliability design method and theory as well.

A Comprehensive Reliability Evaluation Model of Turbine Runner Blades under Complex Conditions

2020 ◽  
Vol 20 (6) ◽  
pp. 2097-2105
Author(s):  
Zhaojun Li ◽  
Xijun Mao ◽  
Fuxiu Liu ◽  
Yuyu Huang ◽  
Xing Heng
Keyword(s):  
Evaluation Model ◽  
Reliability Evaluation ◽  
Turbine Runner ◽  
Comprehensive Reliability

scholarly journals Evaluating the Performance of Taiwan Homestay Using Analytic Network Process

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Yi-Chung Hu ◽  
Jen-Hung Wang ◽  
Ru-Yu Wang
Keyword(s):  
Service Quality ◽  
Business Performance ◽  
Fuzzy Theory ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Evaluation Framework ◽  
Operational Model ◽  
Network Process ◽  
Key Aspects ◽  
Operation And Management

Homestay industry in Taiwan is not only thriving, but also its operation is moving gradually toward elaboration strategy and in a specialized-operation manner these years. Nevertheless, the evaluation frameworks of the earlier studies were sporadically constructed from an overall perspective of homestays. Moreover, the functions, operational model, and natures of homestays are dissimilar to those of hotels; therefore, if the evaluation criteria of homestays employ the ones of hotels, it would appear to be incoherent and incompatible. This study has accordingly developed and constructed a set of evaluation indicators tailor-made for homestay sector through discussion of literatures and interviewing experts so that the evaluation framework would be more comprehensive and more practical. In the process of interviewing experts, it was discovered that dependences lay on the aspects and criteria. Consequently, this research chose the ANP (analytic network process) to get the weights and, further, to acquire the homestay business performance through fuzzy theory. The result reveals, as regards key aspects, homestay proprietors and customer groups both weight the surroundings of the building and features, service quality, operation, and management most. In respect to overall homestay performance, customer groups consider it has reached the satisfactory level.

Sign in / Sign up

Export Citation Format

Share Document