Collaborative Research: Frameworks: Quakeworx - An extensible software framework for earthquake simulations

协作研究：框架：Quakeworx - 用于地震模拟的可扩展软件框架

• 批准号: 2311206
• 负责人: Yehuda Ben-Zion
• 金额: $ 57万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2311206&HistoricalAwards=false
• 关键词: Collaborative; Research; Frameworks; Quakeworx; extensible

Physics-based forecasts of seismic hazard from future earthquakes are important for developing plans for land use, building codes, transportation and communication infrastructure, power and water systems, and many other aspects that are integral to society. The Quakeworx framework is a new multi-disciplinary collaboration to enable a wide community of users to access state-of-the-art physics-based models of rupture forecasts, further improve existing tools, and validate model results. Quakeworx also helps advance the science of rupture forecasts, obtain new insights on earthquake physics, improve seismic hazard estimates, and create new opportunities for STEM education and engagement. Quakeworx enables rapid immersion of students, post-docs, and early career scientists with state-of-the-art simulation and analysis tools that aid in modernizing education and training in earthquake physics, computational modeling, software engineering, and related fields. The project contributes to the national interest by supporting a more resilient society with improved capabilities for forecasting earthquakes and assessing seismic hazard, which are foundational for mitigation of seismic risk, contributing to STEM workforce development, and facilitating translation of results to the society at large.A core element of Quakeworx is a new science gateway, which provides access to state-of-the-art methods that combine novel physics-based modeling frameworks with standardized pipelines for simulations, data-based assimilation to inform and validate models on-demand, and machine-learning pattern recognition on big datasets. The project enables simulations of coupled evolution of earthquakes and faults producing diverse outputs (seismicity, ground motion, fault network configuration, strain rates, topography), and facilitates the development, validation, application, and reproducibility of improved rupture forecasts for research and education. Quakeworx curates and seeds many leading tools and data products that leverage existing community data models describing fault and rock properties as simulation input. Additionally, the gateway enables the research and education community to contribute, curate and share tools for simulations, data analysis and visualization, data products and knowledge base. The project provides a foundation that eliminates barriers due to lack of expertise and lack of access to compute resources, and it delivers an innovative service-oriented and easy-to-use cyberinfrastructure to a large user community.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research, Innovation, Synergies, and Education (RISE), the Division of Earth Sciences (EAR), and the Geophysics Program within the NSF Directorate for Geosciences.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.

对未来地震的地震危害的基于物理学的预测对于制定土地使用，建筑法规，运输和通信基础设施，电力和水系统以及许多其他与社会不可或缺的方面的计划很重要。 QuakeWorx框架是一种新的多学科合作，使广泛的用户能够访问基于最新的物理学的破裂预测模型，进一步改善现有工具并验证模型结果。 Quakeworx还有助于推进破裂预测的科学，获得有关地震物理学的新见解，改善地震危险估计，并为STEM教育和参与创造新的机会。 Quakeworx可以通过最先进的模拟和分析工具快速沉浸于学生，毕业后和早期职业科学家，这些工具有助于现代化地震物理学，计算建模，软件工程和相关领域的教育和培训。该项目通过支持一个更具弹性的社会来促进国家利益，并具有提高能力预测地震和评估地震危险的能力，这是缓解地震风险的基础，这些危害是基本的，这是减轻地震风险的基础，促进STEM劳动力发展的发展，并促进了对社会的成果的转化，以构建新的科学元素。具有用于模拟的标准化管道，基于数据的同化，以告知和验证模型按需和大数据集上的机器学习模式识别。该项目可以模拟地震的耦合演变和产生各种产出（地震性，地面运动，故障网络配置，应变率，地形）的耦合，并促进了改善研究和教育的破裂预测的发展，验证，应用和可重复性。 QuakeWorx策划和种子许多领先的工具和数据产品，这些工具和数据产品利用了现有的社区数据模型，这些工具和数据模型将故障和岩石属性描述为模拟输入。此外，网关使研究和教育社区能够为模拟，数据分析和可视化，数据产品和知识库贡献，策划和共享工具。 The project provides a foundation that eliminates barriers due to lack of expertise and lack of access to compute resources, and it delivers an innovative service-oriented and easy-to-use cyberinfrastructure to a large user community.This award by the NSF Office of Advanced Cyber​​infrastructure is jointly supported by the Division of Research, Innovation, Synergies, and Education (RISE), the Division of Earth Sciences (EAR), and the Geophysics NSF地球科学局内的计划。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响标准，被认为值得通过评估来支持。