Simulation and IT-based modeling for construction operations and infrastructure systems

加拿大水和废水协会（CWWA）报告说，加拿大有超过112,000公里的水管，在15年（1997-2012年）期间需要125亿美元来修复现有的（恶化的）水管并建造新的水管，以应对预计的人口增长。虽然文献中报道了一些关于市政基础设施系统建设和修复的研究工作，但需要进一步调查研究最具成本效益的水系统各要素修复方法，并优化市政资源（预算，劳动力和设备）对水系统项目的配置。申请人将利用其过去和正在进行的基础设施管理系统的研究工作，计划从建设和修复的角度研究地下市政基础设施系统领域。本文的研究内容包括设计一个决策支持系统（DSS），以管理供水干线工程。决策支持系统包括以下三个主要活动：(a)设计蒙特卡罗模拟模型，考虑工程项目整个生命周期对环境的影响和总成本，选择最具成本效益的修复方法；(b)运用多属性效用理论建立优先级指数模型，优化水利主要工程的预算分配；(c)建立资源分配模型，以优化市政资源（水应急和维修人员（劳动力和设备））在项目之间的分配。将网络地理信息系统（web - gis）与多目标优化模型相结合，建立资源模型。决策支持系统将以网络为平台，促进各级市政管理部门之间的沟通，并加快其决策过程。拟议的研究将有助于提高学术界和工业界在水总管修复管理方面的最新水平。这项研究被认为对三级政府（市、省和联邦）满足公众对生活质量、安全和健康的需求至关重要。

The Canadian Water and Wastewater Association (CWWA) reported that there were more than 112,000 kilometers of water mains in Canada, which required $12.5 billion over 15-year (1997-2012) period to rehabilitate the existing (deteriorated) and construct new water mains in order to cope with the projected population growth. Although there are several research works, reported in the literature, on construction and rehabilitation of municipal infrastructure systems, further investigation is needed to study the most cost-effective rehabilitation method(s) for various elements of water system and to optimize the allocation of municipal resources (budget, labor, and equipment) to water system projects. The applicant, capitalizing on his previous and ongoing research works on infrastructure management systems, is planning to investigate the area of underground municipal infrastructure systems from construction and rehabilitation perspectives. The proposed research involves designing a decision support system (DSS) in order to manage water main projects. The DSS includes the following three main activities: (a) design a Monte Carlo simulation model that selects the most cost-effective rehabilitation method considering impact on environment and the total cost through the life cycle of a project; (b) establish a priority index model that optimizes budget allocation to water main projects using multi-attribute utility theory; and (c) develop a resource allocation model in order to optimize the allocation of municipal resources (water emergency and repair crews (labor and equipment)) among projects. This resource model will be developed by integrating web geographical information system (Web-GIS) with multi-objective goal optimization models. The DSS will facilitate, using the web as a platform, communication among various levels of municipal management and accelerate their decision-making process. The proposed research will contribute to the state of the art of water main rehabilitation management in both academic and industrial sectors. This research is deemed essential to the three government tiers (municipal, provincial, and federal) to meet public needs of quality of life, safety, and health.