REU Site: Designing for Safety and Safety by Design

我们生活在一个社会，特别是其公民的安全，福祉和生计，取决于自然和建筑环境之间复杂的相互作用的当今世界。通过设计我们的航空航天、民用和海洋结构来确保安全性，以在其设计使用寿命期间承受操作、环境和预期或意外的极端载荷，现在许多此类结构正在推动服务于社会，远远超过其设计寿命。虽然结构健康监测（SHM）领域带来了新的技术，算法和方法来改善损伤检测，量化和评估，但缺少的是将检测到的损伤数据转化为可操作的信息的能力，以便利益相关者和业主采取行动，以确保结构安全和性能，并考虑到相关的限制。通过这种新的安全设计范式获得的信息对于通知其他现有类似结构的设计、维修、改造和/或更换或未来的新设计至关重要，从而反馈以实现设计安全的愿景。该研究将直接解决获取和解释适当数据流（无论是通过数值建模，实验测试和/或操作测量获得）的挑战，以综合信息并创建可操作的知识，从而能够准确评估和改进结构设计，健康和性能。为了实现这一目标，这个REU网站在加州圣地亚哥大学（UCSD）将招募和培训12个不同的美国学者八个星期，每年夏天，从全国各地招募，重点是扩大代表性不足的少数民族，妇女和经济弱势学生的参与。这些学生将与六位教授及其研究生一起进行研究。除了让REU学生沉浸在密集的夏季研究计划中之外，还计划举办大量的职业发展，实验室图尔斯，研究生院申请准备，研讨会和社交活动，为每个美国学者提供改变生活的，多学科的夏季体验。这个NSF REU网站的总体目标是让学生沉浸在结构工程领域内一个有意义的和高度跨学科的研究环境中，并教他们设计不会随着施工而结束。相反，安全设计体现在：量化潜在的负载条件，损坏力学和不确定性;监测操作过程中的异常;通过数字代理通过网络建模处理这些信息;并将信息转化为可操作的知识，以改进当前和未来的系统设计。首先，从概念开始到定义性能指标，再到结构设计，需要进行变革性的研究和教育，以设计出聚合和融合计算和实验数据的方法，从而为不同设计的能力和超过某些安全状态的概率提供信息。其次，一旦部署，SHM/预后是通过集成来自多个源（“物联网”）的感测数据、网络建模和统计模式识别来实现总结构状态感知的核心。最后，在整个设计和操作过程中获得的信息，当与创新的优化方法和结构的多尺度，多物理，数字替代孪生相结合时，对于实现未来的结构设计，超越其前辈至关重要。通过该项目产生的研究成果将弥合关键知识差距，揭示损伤形成、传播、检测、结构建模、模型更新、评估和设计优化之间的相互关系。计划中的学生活动将为年轻的美国学者提供多学科的技术技能和多样化的视角，使他们能够在整个职业生涯中应对复杂的，跨学科的和系统级的重大挑战。学生们对研究的贡献和他们的暑期经历将提高人们的认识，并激发人们对未来STEM职业的兴趣，这将刺激一个积极的反馈循环，以便设计安全和安全设计的新解决方案将尽早到来。加州大学圣地亚哥分校是唯一的定位，以主办这个REU网站，因为它是唯一的机构在美国.在SHM和预后的程序.这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持.

We live in a world today where society, particularly the safety, well-being, and livelihood of its citizens, depend on the complex interactions between the natural and built environments. Safety is ensured by designing our aerospace, civil, and marine structures to withstand operational, environmental, and expected or unexpected extreme loads throughout their designed service lifetimes, and now many such structures are being pushed to serve society well past their design life. Although the structural health monitoring (SHM) field has brought new technologies, algorithms, and methods to improve damage detection, quantification, and assessment, what is missing is the ability to translate detected damage data into actionable information for stakeholders and owners to act on to ensure structural safety and performance, given relevant constraints. Information obtained through this new paradigm of Designing for Safety is crucial for informing design, repair, retrofit, and/or replacement of other existing similar structures or for future, new designs, thereby feeding back to attain the vision of Safety by Design. This research will directly address the challenge of acquiring and interpreting appropriate data streams (whether obtained through numerical modeling, experimental tests, and/or operational measurements) to synthesize information and create actionable knowledge that will enable accurate assessment and improvement of structural design, health, and performance. To achieve this goal, this REU Site at the University of California San Diego (UCSD) will recruit and train 12 diverse U.S. scholars for eight weeks each summer, recruited from across the nation with emphasis on broadening the participation of underrepresented minority, women, and economically-disadvantaged students. These students will conduct research alongside six professors and their graduate students. In addition to immersing REU students in an intensive summer research program, a plethora of career development, lab tours, graduate school application preparation, seminars, and social activities are also planned to provide each U.S. scholar with a life-changing, multidisciplinary, summer experience. The overarching goal of this NSF REU Site is to immerse students in a meaningful and highly interdisciplinary research environment within the structural engineering domain and to teach them that design does not end with construction. Instead, designing for safety embodies: quantifying potential load conditions, damage mechanics, and uncertainties; monitoring for anomalies during operations; processing this information through cyber-modeling via digital surrogates; and translating the information to actionable knowledge for improving current and future system designs. First, from concept inception to defining performance metrics to structural design, transformative research and education are needed to devise methods for aggregating and fusing computational and experimental data to inform the capabilities of different designs and the probabilities of exceeding certain safety-states. Second, once deployed, SHM/prognosis is central to achieving total structural state awareness through the integration of sensing data from multiple sources ("Internet-of-Things"), cyber modeling, and statistical pattern recognition. Finally, information acquired throughout design and operations, when combined with innovative optimization methods and a multi-scale, multi-physics, digital surrogate twin of the structure, is crucial for realizing future structural designs that outperform its predecessors. Research results generated through this project will bridge key knowledge gaps revealing the interrelations between damage formation, propagation, detection, structural modeling, model-updating, assessment, and design optimization. The planned student activities will equip young U.S. scholars with multidisciplinary technical skills and diverse perspectives so that they are uniquely poised to tackle complex, interdisciplinary, and systems-level grand challenges throughout their entire careers. The students' contributions to research and their summer experiences will raise awareness and stimulate interests in pursuing future STEM careers, which will stimulate a positive feedback loop so that novel solutions for Designing for Safety and Safety by Design will arrive sooner rather than later. UC San Diego is uniquely positioned to host this REU Site, since it is the only institution in the U.S. with programs in SHM and prognosis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.