RAPID: Collection of Field Data from Haiti for Calibration of Seismic Vulnerability Indices

筛选大量建筑物的挑战是从地震中快速恢复和有效利用资源减轻未来地震影响的主要障碍。 在没有严格监管和执行建筑法规的城市地区，这一挑战尤其具有限制性。如果仅仅因为许多现有结构的结构计划不可用，那么对大型库存的筛选就不能依赖于全面的结构分析。 相反，需要能够快速可靠地实施的筛选工具。 来自海地的现场数据将用于测试、校准和改进地震脆弱性指数。收集的现场数据将使研究人员能够回答仅通过实验室或分析研究无法回答的挑战性问题。 这项研究将回答关于现有脆弱性指数的多功能性、确定其他关键结构参数以及增加指数复杂性的利弊等问题，研究的更广泛影响涉及减少地震风险，并将通过与海地州立大学、人类住区中心、海地国家建筑实验室、海地矿业和能源局以及海地私营建筑商协会。 这些机构可以直接利用研究结果来查明海地境内仍然存在的脆弱结构，并为重建工作制定有效的指导方针。该研究结果也将用于帮助世界其他地区的弱势社会。该奖项由NSF国际科学与工程办公室（OISE）共同资助。

The challenge of screening large inventories of structures is a major obstacle to the rapid recovery from earthquakes and the efficient use of resources to mitigate the effects future earthquakes. This challenge is especially restrictive in urban areas built without strict regulation and enforcement of building codes. Screening of large inventories cannot rely on full structural analyses, if for no other reason than the structural plans for many existing structures are unavailable. Instead, screening tools that can be implemented quickly and reliably are needed. Field data from Haiti will be used to test, calibrate, and improve seismic vulnerability indices. The collected field data will enable the researchers to answer challenging questions that cannot be answered by laboratory or analytical research alone. The research will answer questions about the versatility of existing vulnerability indices, the identification of additional key structural parameters, and the merits/drawbacks of adding to the complexity of the indices.The broader impacts of the research are related to the reduction of seismic risk and will be pursued with particular emphasis on Haiti through collaboration with the State University of Haiti, Habitat for Humanity, Haiti's National Laboratory for Buildings and Construction, Haiti's Bureau of Mines and Energy, and the Association of Haitian Private Constructors. The findings of the research can be used directly by these institutions to identify vulnerable structures that remain in Haiti as well as to generate effective guidelines for reconstruction. The findings will also be available to help vulnerable societies in other parts of the world.This award is co-funded by the NSF Office of International Science and Engineering (OISE)