Simulation and IT-Based Modeling for Construction Operations and Infrastructure Systems

加拿大水和废水协会(CWWA)报告称，加拿大的民用基础设施系统已经使用了超过79%的预期使用寿命。加拿大的市政当局指出，59%的供水系统和68%的下水道系统需要维修。加拿大的第一份基础设施成绩单显示，相当数量的市政资产排名在“一般”和“非常差”之间，平均为30%。它还报告说，市政道路的总体等级为“一般”，总体上显示出恶化的迹象，某些部分显示出严重的缺陷。鉴于加拿大基础设施的现状，市政当局在规划道路、供水和下水道(RWS)网络的综合修复/更新方面面临着具有挑战性的决定。尽管文献中报道了一些关于市政基础设施系统的建设和修复的研究工作，但还需要进一步的调查来评估市政基础设施的可靠性，量化客户/客户驱动的基础设施性能，并为修复市政基础设施系统的各个要素制定优化的资本投资计划。申请者利用他以前和正在进行的关于管理信息系统的研究工作，计划从建筑和修复的角度调查这一研究领域。研究内容包括设计一个综合决策支持系统，以达到以下主要目的：(1)识别和研究影响管理信息系统可靠性(R)和适用性(S)的各种因素；(2)建立综合模型并绘制R和S图；(3)选择最佳的康复方法，评估它们对可靠性的影响，并为这些方法制定一个优化的时间表。这些模型将使用蒙特卡罗模拟、网络地理信息系统(Web-GIS)、资产信息建模(AIM)、优化和决策技术来开发。综合决策支持系统将利用网络作为平台，促进各级市政管理部门之间的沟通，并加快其决策进程。拟议的研究将有助于学术和工业部门市政资产修复管理的最新水平。它将帮助学术界设计基于地理信息系统的AIM，开发综合可靠性和可维护性(R和S)模型，并开发智能决策支持系统。它还将协助市政当局实施预防程序，以延长管理信息系统的使用寿命，并最大限度地减少康复活动对加拿大社会的总体经济、社会和环境影响。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 Canada’s civil infrastructure systems have used over 79% of their expected service life. Municipalities in Canada have noted that 59% of their water systems and 68% of their sewer systems needed repair. Canada’s first infrastructure report card showed that a significant amount of municipal assets rank between “fair” and “very poor”, which averaged to 30%. It also reported that municipal roads have an overall grade of “Fair”, which showed general signs of deterioration with certain elements exhibiting significant deficiencies. Given the current state of Canadian infrastructure, municipalities face challenging decisions to plan the integrated repair/renewal of road, water and sewer (RWS) networks. Although there are several research works, reported in the literature, on construction and rehabilitation of municipal infrastructure systems (MIS), further investigation is needed to assess municipal infrastructure reliability, quantify client/customer driven infrastructure performance, and develop an optimized capital investment plan for the rehabilitation of various elements of MIS. The applicant, capitalizing on his previous and ongoing research works on managing MIS, is planning to investigate this area of research from construction and rehabilitation perspectives. The proposed research involves designing an integrated decision support system (IDSS) to achieve the following main objectives: (1) identify and study the various factors that contribute to reliability (R) and serviceability (S) of MIS; (2) establish integrated models and map R and S; and (3) select the best rehabilitation methods, assess their influence on reliability, and develop an optimized schedule for these methods. The models will be developed using Monte Carlo simulation, web geographical information system (Web-GIS), asset information modeling (AIM), optimization, and decision making techniques. The IDSS 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 rehabilitation management of municipal assets in both academic and industrial sectors. It will help academics to design GIS-based AIM, develop integrated reliability and serviceability (R and S) models for MIS networks, and develop the IDSS. It will also assist municipalities to implement preventive procedures to extend the service life of MIS and minimize the overall economic, social, and environmental impact of rehabilitation activities on the Canadian society. 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.