Calibration and validation of mechanistic-empirical performance models for pavement design and remaining service life analysis

基础设施性能的长期可靠性是实现加拿大政府通过筹集私人和公共资本为公路建设和更新提供资金的战略的关键因素。因此，提高地面交通基础设施的弹性和可持续性是加拿大经济的战略重点，也是所有加拿大人安全的关键要求。在过去的十年中，机械经验路面设计指南及其实施软件pavement ME越来越多地应用于基于基本材料特性、机械结构响应和经过验证的现场性能的设计和生命周期分析。这些工具已经开始取代基于经验方法的传统设计方法。过渡到机械经验路面设计需要大量的努力来建立材料、交通和损伤数据库，并为各种组成部分开发适当的性能和损伤模型。几个加拿大运输机构推迟了执行机械经验设计的计划，直到建立了适当的必要数据库和模型。一些机构，包括马尼托巴省，正在探索新的机械设计工具，只使用默认输入值，可能无法完全响应当地条件。Discovery研究的目的是加速材料数据库的本地校准，并生成高质量的性能模型，以提出一个优化和验证的设计工具，可以在马尼托巴省实施，也适用于其他地区。这项工作将检查预测的灾难对个别设计输入的敏感性，以评估程序的可靠性，并证明分配资源用于额外的数据收集或实验室测试是合理的。该研究将建立在申请人和他的研究团队最近为马尼托巴省基础设施部、温尼伯市和育空地区公共工程部所做的研究结果的基础上，这些研究结果为沥青混凝土和未粘结颗粒材料提供了当地校准的材料输入。“发现”号的研究将产生基础知识，并开发设计工具，以更准确地对当地材料和苦恼的性能进行基准测试和建模。这些工具对于支持重型建筑行业至关重要，重型建筑行业是加拿大经济的一个主要部门，在加拿大和国际上竞争激烈的知识型环境中运作。这项研究将促进卓越的hqp研究生培训，并将本科生引入一个研究密集型的环境。学员将作出原创性的研究贡献，并获得高度需要的分析和实际工程技能。

The long-term reliability of infrastructure performance is a critical element in fulfilling the Government of Canada strategy to finance highway construction and renewal through raising private and public capital. Therefore, improving the resilience and sustainability of surface transportation infrastructure is a strategic priority for the Canadian economy, and a critical requirement for the safety and security of all Canadians. Over the past decade, the mechanistic-empirical pavement design guide and its implementation software Pavement ME, are being increasingly applied for design and life cycle analysis that are based on fundamental material properties, mechanistic structural responses and verified field performance. These tools have started to replace traditional design methods that are based on an empirical approach.The transition to mechanistic-empirical pavement design requires a substantial level of effort to establish material, traffic and distress databases, and to develop appropriate performance and damage models for the various components. Several Canadian transportation agencies have deferred plans to implement mechanistic-empirical designs until the appropriate requisite databases and models are established. Some agencies, including Manitoba, are exploring the new mechanistic design tools using only default input values that may not be fully responsive to local conditions.The purpose of this Discovery research is to accelerate the local calibration of material databases and to generate high-quality performance models to present an optimized and validated design tool that can be implemented in Manitoba and also adapted to other regions. The work will examine the sensitivity of predicted distresses to individual design inputs in order to assess the reliability of the procedure, and to justify the allocation of resources to additional data collection or laboratory testing. The research will build on the recent findings by the applicant and his research team, for the Manitoba Department of Infrastructure, the City of Winnipeg, and the Yukon Department of Public Works, which produced locally-calibrated material inputs for asphalt concrete and unbound granular materials.The Discovery research will generate fundamental knowledge, and develop design tools to benchmark and model the performance of local materials and distresses more accurately. These tools are critically-needed to support the heavy construction industry, a major sector of the Canadian economy that operates in a highly competitive knowledge-based environment both in Canada and internationally.The research will facilitate exceptional graduate training of HQPs, and will introduce undergraduate students to a research-intensive environment. The trainees will make original research contributions, and acquire highly-desirable analytical and practical engineering skills.