REuse of Structural sTeel in cOnstRuction (RESTOR)

建筑中结构钢的再利用（RESTOR）

• 批准号: EP/W018705/1
• 负责人: Samir Dirar
• 金额: $ 168.69万
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FW018705%2F1
• 关键词: REuse; Structural; sTeel; cOnstRuction; RESTOR

Steel buildings form the vast majority of multi-storey and industrial buildings in the UK. More than 85% of the structural steel in existing buildings is recycled at the end of their service life whereas less than 15% is reused. However, steel recycling is energy-demanding and contributes to the UK iron and steel industry being the largest industrial sector in terms of both energy demands and greenhouse gas emissions. Thus, there is a genuine need for cutting-edge technical innovations embedded in the circular economy that maximizes sustainable, efficient and low-energy reuse, rather than energy-demanding recycling, of structural steel.RESTOR is the first project of its kind to apply sophisticated non-destructive testing (NDT), machine learning optimization, and building information modelling to reuse structural steel in construction. At the end of the first lifespan of used steel members (e.g., beams, columns, braces), RESTOR will allow their material properties to be determined based on NDT measurements. RESTOR will optimize the repurposing of used steel members and validate their structural performance during their second lifespan. It will develop a new, validated and optimized state-of-the-art generative design tool that will create automated and optimized building configurations made of used steel members. The outputs of RESTOR will therefore enable sustainable delivery of the infrastructure projects planned as part of the post-COVID-19 economic recovery strategy.

英国绝大多数多层和工业建筑都是钢结构建筑。现有建筑中超过85%的结构钢在使用寿命结束时被回收，而只有不到15%被重复使用。然而，钢铁回收是能源需求，并有助于英国钢铁行业成为能源需求和温室气体排放方面最大的工业部门。RESTOR是第一个应用先进的无损检测（NDT）、机器学习优化和建筑信息建模技术，在建筑中重复使用结构钢的项目。RESTOR是第一个应用先进的无损检测（NDT）、机器学习优化和建筑信息建模技术，在建筑中重复使用结构钢的项目。在使用过的钢构件的第一个使用寿命结束时（例如，梁、柱、支撑），RESTOR将允许根据NDT测量确定其材料属性。RESTOR将优化旧钢构件的再利用，并在其第二个使用寿命期间验证其结构性能。它将开发一种新的，经过验证和优化的最先进的生成设计工具，该工具将创建由旧钢构件制成的自动化和优化的建筑配置。因此，RESTOR的产出将使作为COVID-19后经济复苏战略一部分而规划的基础设施项目得以可持续交付。