RCN: Research Network in Hybrid Simulation for Multi-Hazard Engineering

混合仿真是一种强大的信息物理研究方法，它将物理实验与计算仿真相结合，以观察和评估工程系统在现实条件下的性能。最初是在地震工程领域开创的，混合模拟包括一套高效和具有成本效益的技术，具有广泛应用于许多科学和工程学科的潜力。例如，对新的设计概念和装置进行这种实验性评价的目的是检查建筑物和生命线等民用基础设施在遭受地震和风暴等自然灾害时的性能。 因此，这些实验能够产生知识和创新，减少死亡，保持业务连续性，并尽量减少自然灾害造成的经济损失。越来越多的跨学科和国际研究人员正在使用混合仿真来解决与多灾害工程相关的社会重大挑战问题。然而，现有的技术障碍限制了混合仿真的进步。该研究协调网络的建立将加速先进混合仿真方法的进展，以应对社会重大挑战，在一系列实验室中建立能力，并在工程学科之间建立伙伴关系。 该研究协调网络旨在促进建立混合模拟理论和扩大混合模拟能力所需的科学进步，因为它适用于多灾害工程。具体目标是：（1）多样化，拓宽和扩大混合仿真研究人员的社区，（2）培养能够应对未来科学挑战的对等和机构间伙伴关系，（3）制定混合仿真的共同研究议程，（4）共享数字工件，如开源数据，模型，讲座，技术和工具，跨实验室和学科界限，（5）在更多现有实验室中建立混合模拟能力，以及（6）培养国际合作，以分享知识并获得资源。这些目标将通过重点讲习班、在线联网、资源共享、同行交流、国际伙伴关系、研究议程制定和传播活动等活动来实现。数字文物，如计算模型，实验数据和学习材料，将通过NSF支持的自然灾害工程研究基础设施Designsafe-ci.org门户网站收集和共享。一个多元化的，初级教师和研究生的核心群体将参与，而高级和中级职业教师也将参与和分享专业知识。通过打破限制混合模拟方法进步的现有技术障碍，这个更广泛的研究人员社区将准备解决与自然灾害事件相关的社会重大挑战问题。

Hybrid simulation is a powerful cyber-physical research methodology that integrates physical experimentation with computational simulation to observe and evaluate the performance of engineering systems under realistic conditions. Originally pioneered in the field of earthquake engineering, hybrid simulation includes a suite of efficient and cost-effective techniques that has potential for broad application across many science and engineering disciplines. For example, such experimental evaluation of new design concepts and devices is intended to examine the performance of civil infrastructure, such as buildings and lifelines, when exposed to natural hazards, such as earthquakes and windstorms. Thus, these experiments enable knowledge generation and innovations that will reduce fatalities, maintain business continuity, and minimize economic losses resulting from natural hazards. A growing interdisciplinary and international community of researchers is using hybrid simulation to address societal grand challenge problems related to multi-hazard engineering. However, existing technical barriers have limited advancements in hybrid simulation. This research coordination network will be established to accelerate progress in advanced hybrid simulation methodologies to address societal grand challenges, build capacity in a range of laboratories, and build partnerships among engineering disciplines. This research coordination network aims to facilitate the scientific advances needed to establish the theory of and expand the capacity for hybrid simulation as it applies to multi-hazard engineering. The specific objectives are to: (1) diversify, broaden, and expand the community of researchers in hybrid simulation, (2) foster peer-to-peer and institute-to-institute partnerships that will be able to tackle the scientific challenges that lie ahead, (3) develop the common research agenda for hybrid simulation, (4) share digital artifacts, such as open-source data, models, lectures, techniques, and tools, across laboratories and disciplinary boundaries, (5) build the capacity for hybrid simulation in a greater number of existing laboratories, and (6) cultivate international collaborations to share knowledge and enable access to resources. These objectives will be achieved through activities such as focused workshops, online networking, sharing of resources, peer-to-peer communications, international partnerships, research agenda development, and dissemination activities. Digital artifacts, such as computational models, experimental data, and learning materials, will be gathered and shared through the NSF-supported Natural Hazards Engineering Research Infrastructure Designsafe-ci.org web portal. A diverse, core group of junior faculty and graduate students will be engaged, while senior and mid-career faculty also will participate and share expertise. By breaking down the existing technical barriers that have limited the advancement of hybrid simulation methods, this broader community of researchers will be prepared to solve societal grand challenge problems related to natural hazard events.