随机载荷下风电叶片复合材料剩余强度概率模型  被引量:6

PROBABILISTIC MODEL OF RESIDUAL STRENGTH OF COMPOSITE MATERIALS FOR WIND TURBINE BLADE UNDER RANDOM LOAD

在线阅读下载全文

作  者:高建雄[1] 安宗文[1] 白学宗[1] Gao Jianxiong;An Zongwen;Bai Xuezong(School of Mechanical and Electronical Engineering,Lanzhou University of Technology,Lanzhou 730050,China)

机构地区:[1]兰州理工大学机电工程学院

出  处:《太阳能学报》2018年第8期2169-2175,共7页Acta Energiae Solaris Sinica

基  金:国家自然科学基金(51665029;51265025)

摘  要:为对随机载荷作用下风电叶片复合材料(即纤维增强复合材料)的剩余强度进行评估,并考虑载荷的随机性及材料性能的分散性对剩余强度概率分布的影响。首先,根据Miner理论及全概率公式建立随机载荷作用下风电叶片复合材料疲劳寿命的预测模型;然后,基于剩余强度与剩余寿命取决于材料内部同一损伤状态的假设,推导出随机载荷作用下风电叶片复合材料剩余强度的概率模型;最后,通过风电叶片复合材料层合板(由多个单层板粘接在一起组成的整体结构)的静强度实验数据与疲劳寿命实验数据对所建模型的有效性进行验证。结果表明:所建模型能反映风电叶片复合材料剩余强度退化的一般规律,对随机载荷作用下风电叶片复合材料的寿命预测及可靠性评估具有一定指导意义。In order to evaluate the residual strength of wind turbine blade composite materials(that is,fibre reinforced composite materials)under random load,the effect of load randomicity and dispersion of material properties on the probability distribution of residual strength is considered.Firstly,the prediction model of fatigue life for wind turbine blade composite materials under random load is proposed based on the Miner theory and whole probability formula.Then the probabilistic model of residual strength of wind turbine blade composite materials under random loads is derived based on the assumption that the residual strength and residual fatigue life depend on the same damage state in materials.Finally,the effectiveness of the proposed model is verified through the static strength test data and fatigue life test data of wind turbine blade composite laminates(a whole structure composed of multiple single layer plates).The results show that the proposed model can reveal the general degradation law of residual strength of wind turbine blade composite materials,which has an important guiding significance for fatigue life prediction and reliability assessment of wind turbine blade composite materials under random load.

关 键 词:风力机 叶片 剩余强度 疲劳 可靠性 

分 类 号:TK83[动力工程及工程热物理—流体机械及工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象