SBIR PHASE II: A New Approach to Local Area Damage Detection in Composite Structures

SBIR PHASE II：复合结构局部损伤检测的新方法

• 批准号: 9801489
• 负责人: Donald Sofge
• 金额: $ 38.63万
• 依托单位: NeuroDyne Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 2000-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9801489&HistoricalAwards=false
• 关键词: SBIR; PHASE; II; New; Approach

*** 9801489 Sofge This Small Business Innovation Research Phase II project will explore a new approach to detection, classification, and location of damage to structural composite parts, providing a means for sensing structural degradation such as delaminations, fatigue and other damage. Piezoelectric transducer technology may be used for sensing various structural properties such as stress, strain, and elasticity when sensors are mounted on, or embedded within, a material structure. Structures may degrade due to improper manufacture, duty cycle wear, impacts, and material corrosion. The advanced structural concept proposed here is the use of these sensors to measure changes likely to be damage to an aircraft part. The method is to use high-frequency acoustic signals to extract the vibration signature from a structure. This vibration signature is then compared with that of a normal undamaged structure and the signature changes are used by software to extract metrics related to the health of the structure. These metrics are then used to diagnose the severity of damage and to locate the damage on the structure. The software uses a statistically based technique which accommodates normal variation of the signature on a structure, while accurately identifying changes in the signature due to delamination and other structural damage. The advanced structural monitoring concepts being sought have potential for commercial use in the civil transportation industry for aircraft, automobiles, trucks and boats and in the commercial space industry for boosters and satellites. ***

* 9801489 Sofge 这个小型企业创新研究第二阶段项目将探索一种新的方法来检测，分类和定位结构复合材料部件的损坏，提供一种检测结构退化的方法，如分层，疲劳和其他损坏。 当传感器安装在材料结构上或嵌入材料结构内时，压电换能器技术可用于感测各种结构性质，诸如应力、应变和弹性。 由于制造不当、工作循环磨损、冲击和材料腐蚀，结构可能会退化。 这里提出的先进结构概念是使用这些传感器来测量可能对飞机部件造成损坏的变化。 该方法是利用高频声信号从结构中提取振动特征。 然后将该振动特征与正常未受损结构的振动特征进行比较，软件使用特征变化来提取与结构健康相关的度量。 然后，这些指标用于诊断损伤的严重程度，并定位结构上的损伤。 该软件使用基于统计的技术，该技术适应结构上签名的正常变化，同时准确地识别由于分层和其他结构损坏而引起的签名变化。 正在寻求的先进结构监测概念具有在民用运输工业中用于飞机、汽车、卡车和船只以及在商业航天工业中用于助推器和卫星的商业用途的潜力。 ***