Development of a physics-based multi-scale progressive damage model for assessing the durability of wind turbine blades

2016 ◽  
Vol 141 ◽  
pp. 50-62 ◽  
Author(s):  
John Montesano ◽  
Hao Chu ◽  
Chandra Veer Singh
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Damage Model ◽  
Progressive Damage ◽  
Wind Turbine Blades ◽  
Multi Scale ◽  
Progressive Damage Model

scholarly journals Effects of defects in composite wind turbine blades – Part 2: Progressive damage modeling of fiberglass-reinforced epoxy composites with manufacturing-induced waves

2017 ◽  
Vol 2 (2) ◽  
pp. 653-669 ◽  
Author(s):  
Jared W. Nelson ◽  
Trey W. Riddle ◽  
Douglas S. Cairns
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Damage Model ◽  
Peak Stress ◽  
Failure Criteria ◽  
Progressive Damage ◽  
Damage Modeling ◽  
Cohesive Elements ◽  
Wind Turbine Blades ◽  
Nonlinear Shear

Abstract. Composite wind turbine blades are typically reliable; however, premature failures are often in regions of manufacturing defects. While the use of damage modeling has increased with improved computational capabilities, they are often performed for worst-case scenarios in which damage or defects are replaced with notches or holes. To better understand and predict these effects, an effects-of-defects study has been undertaken. As a portion of this study, various progressive damage modeling approaches were investigated to determine if proven modeling capabilities could be adapted to predict damage progression of composite laminates with typical manufacturing flaws commonly found in wind turbine blades. Models were constructed to match the coupons from, and compare the results to, the characterization and material testing study presented as a companion. Modeling methods were chosen from established methodologies and included continuum damage models (linear elastic with Hashin failure criteria, user-defined failure criteria, nonlinear shear criteria), a discrete damage model (cohesive elements), and a combined damage model (nonlinear shear with cohesive elements). A systematic, combined qualitative–quantitative approach was used to compare consistency, accuracy, and predictive capability for each model to responses found experimentally. Results indicated that the Hashin and combined models were best able to predict material response to be within 10 % of the strain at peak stress and within 10 % of the peak stress. In both cases, the correlation was not as accurate as the wave shapes were changed in the model; correlation was still within 20 % in many cases. The other modeling approaches did not correlate well within the comparative framework. Overall, the results indicate that this combined approach may provide insight into blade performance with known defects when used in conjunction with a probabilistic flaw framework.

scholarly journals A multi-scale model for studying failure mechanisms of composite wind turbine blades

2019 ◽  
Vol 212 ◽  
pp. 220-229 ◽  
Author(s):  
Junjie Ye ◽  
Chenchen Chu ◽  
Heng Cai ◽  
Xiaonan Hou ◽  
Baoquan Shi ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Failure Mechanisms ◽  
Turbine Blades ◽  
Scale Model ◽  
Wind Turbine Blades ◽  
Multi Scale

Prediction of non-linear mechanical behavior of shear deformed twill woven composites based on a multi-scale progressive damage model

2019 ◽  
Vol 224 ◽  
pp. 111019
Author(s):  
Yeon-Taek Hwang ◽  
Kyung-Hee Choi ◽  
Jae-In Kim ◽  
Jaeyoung Lim ◽  
Byeunggun Nam ◽  
...  
Keyword(s):  
Mechanical Behavior ◽  
Damage Model ◽  
Woven Composites ◽  
Progressive Damage ◽  
Multi Scale ◽  
Non Linear ◽  
Progressive Damage Model

Optimized Constant-Life Diagram for the Analysis of Fiberglass Composites Used in Wind Turbine Blades

2005 ◽  
Vol 127 (4) ◽  
pp. 563-569 ◽  
Author(s):  
Herbert J. Sutherland ◽  
John F. Mandell
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Damage Model ◽  
Wind Farms ◽  
Materials Testing ◽  
Optimum Number ◽  
Wind Turbine Blades ◽  
Design Standards ◽  
Fiberglass Composite ◽  
Nonlinear Damage Model

Mandell et al. have recently presented an updated constant-life diagram (CLD) for a fiberglass composite that is a typical wind turbine blade material. Their formulation uses the MSU/DOE fatigue data base to develop a CLD with detailed S-N information at 13 R-values. This diagram is the most detailed to date, and it includes several loading conditions that have been poorly represented in earlier studies. Sutherland and Mandell have used this formulation to analyze typical loads data from operating wind farms and the failure of coupons subjected to spectral loading. The detailed CLD used in these analyses requires a significant investment in materials testing that is usually outside the bounds of typical design standards for wind turbine blades. Thus, the question has become: How many S-N curves are required for the construction of a CLD that is sufficient for an “accurate” prediction of equivalent fatigue loads and service lifetimes? To answer this question, the load data from two operating wind turbines and the failure of coupons tested using the WISPERX spectra are analyzed using a nonlinear damage model. For the analysis, the predicted service lifetimes that are based on the CLD constructed from 13 R-values are compared to the predictions for CLDs constructed with fewer R-values. The results illustrate the optimum number of R-values is 5 with them concentrated between R-values of −2 and 0.5, or −2 and 0.7.

Life prediction of wind turbine blades using multi-scale damage model

2021 ◽  
pp. 073168442199588
Author(s):  
Sepideh Aghajani ◽  
Mohammadreza Hemati ◽  
Shams Torabnia
Keyword(s):  
Wind Turbine ◽  
Turbine Blade ◽  
Fatigue Damage ◽  
Life Prediction ◽  
Turbine Blades ◽  
Damage Model ◽  
Fatigue Loading ◽  
Multiaxial Fatigue ◽  
Wind Turbine Blade ◽  
Wind Turbine Blades

Wind turbine blade life prediction is the most important parameter to estimate the power generation cost. Due to the price and importance of wind blade, many experimental and theoretical methods were developed to estimate damages and blade life. A novel multiaxial fatigue damage model is suggested for the life prediction of a wind turbine blade. Fatigue reduction of fiber and interfiber characteristics are separately treated and simulated in this research. Damage behavior is considered in lamina level and then extended to laminate; hence, this model can be used for multidirectional laminated composites. The procedure of fatigue-induced degradation is implemented in an ABAQUS user material subroutine. By applying the fatigue damage model, life is estimated by the satisfaction of lamina fracture criteria. This model provides a comprehensive idea about how damage happens in wind blades regarding a multi-axis fatigue loading condition.

A modified composite fatigue damage model considering stiffness evolution for wind turbine blades

2020 ◽  
Vol 233 ◽  
pp. 111736 ◽  
Author(s):  
Hongwei Liu ◽  
Zhichun Zhang ◽  
Hongbo Jia ◽  
Yanju Liu ◽  
Jinsong Leng
Keyword(s):  
Wind Turbine ◽  
Fatigue Damage ◽  
Turbine Blades ◽  
Damage Model ◽  
Wind Turbine Blades

scholarly journals Multi-Scale Superhydrophobic Anti-Icing Coating for Wind Turbine Blades

2021 ◽  
Vol 118 (4) ◽  
pp. 947-959
Author(s):  
Jiangyong Bao ◽  
Jianjun He ◽  
Biao Chen ◽  
Kaijun Yang ◽  
Jun Jie ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Multi Scale
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