CAREER: Impact of Green Roof and Vertical Greenery Systems on Structural Performance for Multi-Hazard Scenarios
职业:绿色屋顶和垂直绿化系统对多种灾害情况下结构性能的影响
基本信息
- 批准号:2237250
- 负责人:
- 金额:$ 51.04万
- 依托单位:
- 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:2023-06-01 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Faculty Early Career Development (CAREER) award will contribute to the resilience and capacity of communities to address climate change and recover from natural hazard events, such as earthquakes, by producing a novel design approach for green infrastructure (GI) (i.e., green roof and vertical greenery structures) to decrease monetary losses, deaths, and downtime associated with these events. Sustainable structures with GI are needed to tackle climate change. This research will address a critical gap in resources for practicing engineers and users of buildings with GI in regions with seismic/wind risk with a set of applied guidelines for weight variations of GI, including associated demands at various moisture content levels for optimal structural performance. The educational plan includes an educational video series on sustainable structural resilience for undergraduate and graduate students and research experiences for five university student assistants from underrepresented groups. Further, open access to research results, design guidelines, and new educational materials will inform civil engineering students in the California State University system, practicing civil engineers in the U.S., and public consumers to increase sustainability efforts and decrease negative impacts of climate change and natural hazard events. Data generated from this project will be made publicly available in the National Science Foundation (NSF)-supported Natural Hazards Engineering Research Infrastructure Data Depot (https://www.DesignSafe-CI.org). This award supports the NSF role in the National Earthquake Hazards Reduction Program. The goal of this award is advance knowledge on GI’s sensitivities, influences on structural behavior, and potential as a mitigation strategy. There is an established need to characterize structural response as a combined effort between sustainable and resilient design because the increase in GI usage over the past several decades has outpaced research to support the engineering community in its design efforts. The project’s research objectives include: (1) quantification of structural behavior distributions due to changes in the GI from natural hazards (i.e., drought, storm surge), natural growth, and other life-cycle factors (i.e., poor maintenance); (2) development of an initial design strategy for increased seismic performance; and (3) creation of a transformative set of design guidelines for sustainable structures considering GI variabilities. This will be achieved through sensitivity analyses of modal behavior and testing of a strategic GI plan using nonlinear time history analyses for a seismic scenario. The educational goals are to train the next generation of civil engineers to understand sustainable building designs with new, open-access educational materials and to inform practicing civil engineers and the public about the positive impacts of sustainability efforts that decrease the negative impacts of climate change and wind/seismic events. Informing and building engineering confidence in GI design will: (1) increase structural resilience with improved designs, modeling, and analysis procedures; (2) reduce the human/economic costs associated with structural failure; and (3) increase the use of GI while promoting sustainability.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.
该学院早期职业发展(CAREER)奖将通过为绿色基础设施(GI)(即绿色屋顶)提供新颖的设计方法,提高社区应对气候变化和从地震等自然灾害事件中恢复的弹性和能力。和垂直绿化结构),以减少与这些事件相关的经济损失、死亡和停机时间,以应对气候变化。这项研究将解决该地区实践工程师和 GI 建筑用户的资源缺口。有地震/风该教育计划包括针对本科生和研究生的可持续结构弹性的教育视频系列以及针对五名大学生的研究经验。此外,开放获取研究成果、设计指南和新教育材料将为加州州立大学系统的土木工程专业学生、美国执业土木工程师和公众消费者提供信息,以加强可持续发展工作并减少负面影响。气候变化和自然灾害事件生成的数据。该项目的成果将在美国国家科学基金会 (NSF) 支持的自然灾害工程研究基础设施数据仓库 (https://www.DesignSafe-CI.org) 中公开发布。该奖项支持 NSF 在国家地震灾害中的作用。该奖项的目标是增进对 GI 敏感性、对结构行为的影响以及作为缓解策略的潜力的了解,因为 GI 的增加,需要将结构响应描述为可持续设计和弹性设计之间的综合努力。过去几十年的使用速度超过了支持工程界设计工作的研究速度。该项目的研究目标包括:(1) 量化由于自然灾害(即干旱、风暴潮)引起的 GI 变化而导致的结构行为分布。 、自然生长和其他生命周期因素(即维护不良);(2) 制定提高抗震性能的初始设计策略;(3) 为考虑 GI 的可持续结构制定一套变革性设计指南;这将通过模态行为的敏感性分析和使用地震场景的非线性时程分析测试战略 GI 计划来实现,教育目标是培训下一代土木工程师了解新的、开放的可持续建筑设计。 - 获取教育材料,并向执业土木工程师和公众介绍减少气候变化和风/地震事件负面影响的可持续发展努力的积极影响,告知和建立工程对 GI 设计的信心将:(1) 提高结构弹性。通过改进的设计、建模,和分析程序;(2)减少与结构故障相关的人力/经济成本;(3)增加 GI 的使用,同时促进可持续性。该奖项反映了 NSF 的法定使命,并通过使用基金会的知识进行评估,被认为值得支持。优点和更广泛的影响审查标准。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jenna Wong其他文献
Association of Antidepressant Prescription Filling With Treatment Indication and Prior Prescription Filling Behaviors and Medication Experiences
抗抑郁药处方配药与治疗适应症以及既往处方配药行为和用药经历的关联
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:3
- 作者:
Jenna Wong;Siyana Kurteva;Aude Motulsky;R. Tamblyn - 通讯作者:
R. Tamblyn
Alexa Eldercare Toolbox: A Smarthome Solution for the Elderly
Alexa Eldercare Toolbox:老年人智能家居解决方案
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Kristen Tan;K. Sekhar;Jenna Wong;Jarod Holgado;Michael Ameer;Gregg Vesonder - 通讯作者:
Gregg Vesonder
Using Machine Learning to Identify Health Outcomes from Electronic Health Record Data
使用机器学习从电子健康记录数据中识别健康结果
- DOI:
10.1007/s40471-018-0165-9 - 发表时间:
2018-09-20 - 期刊:
- 影响因子:3.3
- 作者:
Jenna Wong;Mara E. Murray Horwitz;Li Zhou;S. Toh - 通讯作者:
S. Toh
Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project
使用链接的索赔电子健康记录数据库对感兴趣的健康结果进行电子表型分析:机器学习试点项目的发现
- DOI:
10.1093/jamia/ocab036 - 发表时间:
2021-03-13 - 期刊:
- 影响因子:0
- 作者:
T. Gibson;M. Nguyen;T. Burrell;Frank Yoon;Jenna Wong;S. Dharmarajan;R. Ouellet;Wei Hua;Yong Ma;Elande Baro;S. Bloemers;C. Pack;Adee Kennedy;S. Toh;R. Ball - 通讯作者:
R. Ball
Addition of time-dependent covariates to a survival model significantly improved predictions for daily risk of hospital death.
在生存模型中添加时间依赖性协变量可显着改善对每日医院死亡风险的预测。
- DOI:
10.1111/j.1365-2753.2012.01832.x - 发表时间:
2013-04-01 - 期刊:
- 影响因子:2.4
- 作者:
Jenna Wong;M. Taljaard;A. Forster;G. Escobar;C. van Walraven - 通讯作者:
C. van Walraven
Jenna Wong的其他文献
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