New paradigm in concrete durability: combined damage mechanisms, virtual testing, and artifical intelligence modeling of service life performance

混凝土耐久性新范式：组合损伤机制、虚拟测试和使用寿命性能人工智能建模

• 批准号: 227778-2010
• 负责人: Nehdi, Moncef
• 金额: $ 2.4万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=546826
• 关键词: New; paradigm; concrete; durability; combined

Concrete infrastructure is essential for Canada's economic growth, international competitiveness, and overall quality of life. Reinforced Concrete (RC) structures are subjected in-situ to the combined damage of several deterioration agents often acting in a synergistic manner. Yet, standard test methods for durability continue to subject laboratory concrete specimens to one deterioration mechanism at a time in order to qualify concrete mixtures for complex exposure regimes that are quite different from the single-parameter lab tests. Thus, despite new developments in concrete technology, RC structures continue to deteriorate prematurely. Added to ongoing deferred maintenance and budgetary constraints, this has created a colossal backlog of deteriorated civil infrastructure, imposing a veritable drain of national wealth. This research program will (i) investigate the synergistic effects of combined damage mechanisms on concrete, (ii) build knowledge databases for such combined damage mechanisms to create predictive artificial intelligence-based models for the life cycle performance of concrete subjected to complex field exposure regimes, and (iii) incorporate this knowledge into performance-based durability design tools. This novel research program stems from a paradigm shift which perceives the future standard tests for the durability design of concrete to be performance-based, using artificial intelligence models that can account for the real complex exposure of RC structures in-situ, and conducted via computer simulations. The anticipated impact of the research is paramount since the future design of concrete structures can adequately address the complex damage mechanisms acting on concrete in the field, thus mitigating the premature deterioration of RC structures and preventing the associated economic losses. Also, future standard durability tests for concrete can be carried out using rapid computer simulations of actual field exposure, thus saving time and money. Seven PhD and three MESc students will be trained over the next five years in this novel research. The requested NSERC funds are vital to sustain and accelerate the applicant's research program, and to enhance his international leadership in this field.

混凝土基础设施对加拿大的经济增长、国际竞争力和整体生活质量至关重要。钢筋混凝土（RC）结构在现场受到多种劣化剂的联合破坏，这些劣化剂通常以协同的方式起作用。然而，耐久性的标准测试方法继续使实验室混凝土试样一次经受一种劣化机制，以使混凝土混合物有资格用于与单参数实验室测试完全不同的复杂暴露制度。因此，尽管混凝土技术有了新的发展，但RC结构仍会过早恶化。再加上持续的延期维护和预算限制，这造成了大量老化的民用基础设施积压，造成了名副其实的国家财富流失。该研究计划将（一）调查混凝土的综合损伤机制的协同效应，（二）建立知识数据库，这种综合损伤机制，以创建预测人工智能为基础的模型，混凝土的生命周期性能受到复杂的现场曝光制度，并（iii）将这些知识纳入基于性能的耐久性设计工具。这种新的研究方案源于一种范式转变，它认为未来的标准测试混凝土的耐久性设计是基于性能的，使用人工智能模型，可以占的真实的复杂暴露的钢筋混凝土结构在现场，并通过计算机模拟进行。研究的预期影响是至关重要的，因为未来的混凝土结构设计可以充分解决复杂的损伤机制，在现场混凝土上，从而减轻RC结构的过早恶化，并防止相关的经济损失。此外，未来混凝土的标准耐久性测试可以使用实际现场暴露的快速计算机模拟进行，从而节省时间和金钱。七名博士和三名MESc学生将在未来五年内接受这项新研究的培训。申请的NSERC资金对维持和加速申请人的研究计划至关重要，并有助于提高他在该领域的国际领导地位。