Developing a next-level computational modeling framework to predict the long-term performance of old buildings

开发下一级计算建模框架来预测旧建筑的长期性能

• 批准号: 576903-2022
• 负责人: Pulatsu, BoraB
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=748988
• 关键词: Developing; next; level; computational; modeling

The availability of resources, climate change, and increased frequency of extreme environmental actions force us to conserve our building stock in a cost- and time-efficient manner. Thus, it is significant to implement preventive and proactive measures for the existing buildings that help navigate resources efficiently, which will benefit the economy as well as the environment. Recent and past events indicate that many old buildings and structures were demolished from the Canadian landscape. To this end, the proposed international collaboration explores the deterioration process of masonry buildings under sustained live and dead loads considering their damaged (as-is) condition. The accurate estimation of the life expectancy of the aged masonry building stock is key to achieving sustainable conservation plans and preventing unexpected partial/full life-threatening collapses. This unique collaborative work will form a bridge between a cutting-edge computational modeling approach and remote sensing techniques by developing an interface tool that can process visual data and detect structural damages. An improved understanding of the aging and damage progression of the existing building stock in collaboration with the UK partner will offer invaluable benefits to the local authorities and policymakers. This will allow them to prioritize the most vulnerable structures to be repaired, and Canada will efficiently use its resources and be able to plan the budget for the next decades.

资源的可用性、气候变化和极端环境行为的频率增加迫使我们以节省成本和时间的方式保护我们的建筑存量。因此，对现有建筑物实施预防性和主动性措施，帮助有效地利用资源，这将有利于经济和环境。最近和过去的事件表明，许多古老的建筑物和结构被从加拿大的景观中拆除。为此，拟议的国际合作探讨了砌体结构建筑物在持续的活载和恒载下的退化过程，考虑到它们的损坏（原样）条件。准确估计老旧砖石建筑物的预期寿命是实现可持续保护计划和防止意外的部分/全部危及生命的倒塌的关键。这项独特的合作工作将通过开发一种可以处理视觉数据和检测结构损伤的界面工具，在尖端的计算建模方法和遥感技术之间架起一座桥梁。与英国合作伙伴合作，更好地了解现有建筑存量的老化和损坏进展，将为地方当局和政策制定者提供宝贵的利益。这将使他们能够优先修复最脆弱的结构，加拿大将有效地利用其资源，并能够规划未来几十年的预算。