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Defect-based building condition assessment

机译：基于缺陷的建筑条件评估

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Building defects accelerates the deterioration of building condition leading to more frequent repairs with increased operating and maintenance costs up to 4% or more of total construction cost per annum. Building condition assessments are carried out in order to identify defects and evaluate health status of building. However, existing assessment models are subjective, time consuming and tedious. To address the need for more objective and expeditious condition assessment this paper proposes a novel defect-based condition assessment model for existing concrete buildings considering both building physical and environmental condition. In order to deduce weighting coefficients for building defects Analytic Network Process (ANP) was used while severity of building defects is assessed using a grading scale. To incorporate uncertainty in judgement of inspection personnel, fuzzy membership functions were used to ascertain degree of belief in assessment. Evidential reasoning algorithm was used to aggregate and integrate different types of defects and to compute the overall condition assessment of building. This model is limited to concrete buildings only. The proposed model is implemented on BIM platform for exchange of information and better documentation during inspection. Proposed model was tested on a case study building and results were promising with organized inspection data management on a common BIM platform with potential to expedite inspection process while managing large amount of inspection data on handheld tablet.
机译：建筑缺陷加速了建筑条件的恶化，导致更频繁的维修，运营和维护增加高达每年施工总成本的4％或更多。进行建筑条件评估，以确定缺陷和评估建筑的健康状况。然而，现有的评估模型是主观的，耗时和乏味。为了满足更多客观和迅速的条件评估，本文提出了考虑建筑物理和环境条件的现有混凝土建筑的新型缺陷条件评估模型。为了推断用于建立缺陷的加权系数，使用分析网络过程（ANP），同时使用分级尺度评估建筑物缺陷的严重程度。为了纳入检查人员判决的不确定性，模糊会员职能用于确定评估的信仰程度。证据推理算法用于汇总和整合不同类型的缺陷，并计算建筑物的整体条件评估。该模型仅限于混凝土建筑物。该建议的模型是在BIM平台上实现的，以进行信息交换和更好的检测。在案例研究建筑上测试了拟议的模型，并在普通的BIM平台上进行了有组织的检查数据管理，其潜力可以加快检验过程，同时管理手持平板电脑的大量检查数据。

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