Whole-Process Project Cost Management Based on Building Information Modeling (BIM)

The whole-process project cost management based on building information modeling(BIM)is a new management method,aiming to realize the comprehensive optimization and improvement of project cost management through the application of BIM technology.This paper summarizes and analyzes the whole-process project cost management based on BIM,aiming to explore its application and development prospects in the construction industry.Firstly,this paper introduces the role and advantages of BIM technology in engineering cost management,including information integration,data sharing,and collaborative work.Secondly,the paper analyzes the key technologies and methods of the whole-process project cost management based on BIM,including model construction,data management,and cost control.In addition,the paper also discusses the challenges and limitations of the whole-process BIM project cost management,such as the inconsistency of technical standards,personnel training,and consciousness change.Finally,the paper summarizes the advantages and development prospects of the whole-process project cost management based on BIM and puts forward the direction and suggestions for future research.Through the research of this paper,it can provide a reference for construction cost management and promote innovation and development in the construction industry.

A Building Information Modeling-Life Cycle Cost Analysis Integrated Model to Enhance Decisions Related to the Selection of Construction Methods at the Conceptual Design Stage of Buildings

Life Cycle Cost Analysis (LCCA) provides a systematic approach to assess the total cost associated with owning, operating, and maintaining assets throughout their entire life. BIM empowers architects and designers to perform real-time evaluations to explore various design options. However, when integrated with LCCA, BIM provides a comprehensive economic perspective that helps stakeholders understand the long-term financial implications of design decisions. This study presents a methodology for developing a model that seamlessly integrates BIM and LCCA during the conceptual design stage of buildings. This integration allows for a comprehensive evaluation and analysis of the design process, ensuring that the development aligns with the principles of low carbon emissions by employing modular construction, 3D concrete printing methods, and different building design alternatives. The model considers the initial construction costs in addition to all the long-term operational, maintenance, and salvage values. It combines various tools and data through different modules, including energy analysis, Life Cycle Assessment (LCA), and Life Cycle Cost Analysis (LCCA) to execute a comprehensive assessment of the financial implications of a specific design option throughout the lifecycle of building projects. The development of the said model and its implementation involves the creation of a new plug-in for the BIM tool (i.e., Autodesk Revit) to enhance its functionalities and capabilities in forecasting the life-cycle costs of buildings in addition to generating associated cash flows, creating scenarios, and sensitivity analyses in an automatic manner. This model empowers designers to evaluate and justify their initial investments while designing and selecting potential construction methods for buildings, and enabling stakeholders to make informed decisions by assessing different design alternatives based on long-term financial considerations during the early stages of design.

Development of a building information model-guided post-earthquake building inspection framework using 3D synthetic environments

Computer vision-based inspection methods show promise for automating post-earthquake building inspections.These methods survey a building with unmanned aerial vehicles and automatically detect damage in the collected images.Nevertheless,assessing the damage′s impact on structural safety requires localizing damage to specific building components with known design and function.This paper proposes a BIM-based automated inspection framework to provide context for visual surveys.A deep learning-based semantic segmentation algorithm is trained to automatically identify damage in images.The BIM automatically associates any identified damage with specific building components.Then,components are classified into damage states consistent with component fragility models for integration with a structural analysis.To demonstrate the framework,methods are developed to photorealistically simulate severe structural damage in a synthetic computer graphics environment.A graphics model of a real building in Urbana,Illinois,is generated to test the framework;the model is integrated with a structural analysis to apply earthquake damage in a physically realistic manner.A simulated UAV survey is flown of the graphics model and the framework is applied.The method achieves high accuracy in assigning damage states to visible structural components.This assignment enables integration with a performance-based earthquake assessment to classify building safety.

Integrating Virtual Reality and Energy Analysis with BIM to Optimize Window-to-Wall Ratio and Building’s Orientation for Age-in-Place Design at the Conceptual Stage

This study unfolds an innovative approach aiming to address the critical role of building design in global energy consumption, focusing on optimizing the Window-to-Wall Ratio (WWR), since buildings account for approximately 30% of total energy consumed worldwide. The greatest contributors to energy expenditure in buildings are internal artificial lighting and heating and cooling systems. The WWR, determined by the proportion of the building’s glazed area to its wall area, is a significant factor influencing energy efficiency and minimizing energy load. This study introduces the development of a semi-automated computer model designed to offer a real-time, interactive simulation environment, fostering improving communication and engagement between designers and owners. The said model serves to optimize both the WWR and building orientation to align with occupants’ needs and expectations, subsequently reducing annual energy consumption and enhancing the overall building energy performance. The integrated model incorporates Building Information Modeling (BIM), Virtual Reality (VR), and Energy Analysis tools deployed at the conceptual design stage, allowing for the amalgamation of owners’ inputs in the design process and facilitating the creation of more realistic and effective design strategies.

Influence of Building Information Modelling (BIM) on Engineering Contract Management in Nairobi, Kenya

Building Information Modelling (BIM) is a technology and a process that has brought changes in the construction’s traditional procurement system. Kenya lacks contractual guidelines on implementation of BIM;this makes the adoption of BIM slow and difficult. Previous research has identified a gap in contractual relationships, roles and resulting risks. The objectives of this study were to investigate BIM adoption in Nairobi and to investigate the influence of BIM on Engineering Contract Management (ECM) in Nairobi Kenya. The survey research was a descriptive study with 175 responsive questionnaires. Respondents comprised of Civil Engineers, Construction Project Managers, Architects, Quantity Surveyors, Contractors and Facility Managers. Data was collected through self-administered questionnaire and in-depth interview. Descriptive analytics, correlation and Exploratory factor analysis methods were used to analyse quantitative data. Qualitative data was analysed thematically. It emerged that adoption level was at 56.6% and shallow understanding of BIM capabilities remains to be a barrier to its adoption and implementation. It also emerged that BIM improves ECM;when time, cost, quality, collaboration and return on investment improve, ECM becomes easier. Latent factors found in BIM and ECM relationship were Legal Implications, awareness and knowledge, efficiency, versatility, mandate and leadership, and competitiveness. Further, the study found out that BIM influence on ECM demands for establishment of standards, guidelines, policy, legal framework, and regulations, which can be achieved by amending the public procurement act which dictates the operation of all the other standard forms of contract. Further research should be conducted to measure whether the understanding of BIM had positively improved.

Integration of Building Maintenance Data in Application of Building Information Modeling (BIM)

A typical building project has a long life in the maintenance stage. Also, the cost at this stage is enormously huge compared to planning, design and construction phases. In the earlier stage, which is planning or design phase, however, many project participants put little emphasis on the maintenance information. As a result, important maintenance data is missing and erroneously feedback to the 3D/BIM model. This research provides a generic process model for maintenance information management for building facilities. The authors have identified that there exist most-frequently used information areas: checking information, material information, equipment information, supplier information, and maintenance history information. Each information area should be embedded in the BIM model in order to effectively feedback to the operation and maintenance stage in the project. Thus, the study has proposed a novel data format structure which can effectively link the 3D/BIM object with the maintenance data. The demonstration project shows how the data format structure is used. The contribution of this study is to provide guidance to a project practitioner by step-by-step approach in dealing with the significant maintenance information in the earlier stage of the construction project.

Analysis of Thermal Behavior of Materials in the Building Envelope Using Building Information Modeling (BIM)—A Case Study Approach

Building envelope is a fence that controls heat exchange between interior and exterior and plays an essential role in providing thermal comfort conditions of residents. In recent years, due to the necessity of conserving energy and also preventing increased environmental pollution, the importance of sustainable construction has been doubled. Checking the problems of thermal behavior of the building envelope materials, and what influences in the heating and cooling loads exerted and energy consumption of buildings, are the questions that this research seeks to answer. In this regard, building information modelling analysis (BIM) has worthy contribution in the completion process of sustainable design;thus using software Design Builder, it is paid attention to simulation of the thermal behavior of two types of defined materials for the building envelope that was designed as a Research Institute of Renewable Energy of Yazd University. For Type 1 materials, two layers of brick have been selected, and for Type 2 a thermal insulation layer also added it. Results of the analysis showed that the use of materials Type 2 in the cooling load %4.8 and in the thermal load %62.5 reduction can be achieved which means reducing the load on active system and thus reducing the initial cost of building. Also reduction in annual energy consumption by almost %2.4 for cooling and %62.9 for heating buildings have been achieved, which makes saving non-renewable energy consumption, and consequently reducing environmental pollution as well as reducing current costs will be established.

基于BIM的公路工程标准化EBS分解方法

工程结构分解(EBS)是公路工程全寿命周期信息化管理的基础。为了提高公路工程建设期信息化水平,基于BIM技术应用,提出了公路工程标准化EBS分解方法。标准化分解方法根据工程中不同路段,梳理专业划分以及空间位置划分原则,并依据行业标准,确定标准化EBS结构的叶子节点,提供公路工程EBS结构树模板示例。研究结果旨在提高高速公路数字化交付中的数据处理标准建设,为实施公路工程数字化提供基础支持。

基于BIM技术的福州市连江县仁坂黄家祖厝建模研究

文章运用三维激光技术对福州市连江县仁坂黄家祖厝进行数据收集,对建筑要素进行系统性梳理,利用BIM技术的“族嵌套”方式构建“族”库以及可视化建筑信息模型。将BIM技术与福州古厝结合,为福州古厝保护研究工作提供了新的方式。仁坂黄家祖厝模型建立对福州其余古厝保护研究工作有着巨大的参考价值。

基于工业基础类标准的钢结构BIM全数据交互技术

研究了适用于各类钢结构的基于工业基础类标准(IFC)的全数据交互技术,可以导出钢结构模型完整的几何信息与附加属性,使通用建筑BIM软件能够进行模型信息读取并编辑其中的参数化构件;可以将模型全信息导入钢结构主流详图设计软件Tekla进行解析并重生成结构模型,实现模型二次编辑与施工出图。经工程实例验证,该成果应用于钢结构建筑信息模型(BIM)数据交互时信息传递完整、模型转换质量高,避免了钢结构不同设计阶段的重复建模,极大提升了设计效率。

重型施工机械安拆吊装作业视觉可达性BIM仿真分析

为提高重型施工机械安拆吊装作业安全工效,改善安拆作业过程中人员的可视性,提出基于可视锥法的多主体视觉可达性建筑信息模型(BIM)仿真方法。首先,通过重型施工机械视觉任务分解,得到重型施工机械多主体视觉任务;其次,以wk-35型电铲安拆作业为研究对象,分析起重驾驶司机-信号工-司索工多主体视觉任务,运用计算机辅助三维交互应用(CATIA)人因仿真模块,构建安拆吊装作业多主体视觉的BIM仿真场景;然后,采用可视锥法,计算安拆吊装作业过程多主体视觉可达性量值,测度多主体视觉可达性水平,构建重型机械施工机械多主体视觉评价模型;最后,调节BIM模型的过程参数,推演多主体视觉变化趋势,评价安拆吊装作业多主体视觉可达性。结果表明:安拆作业中起重司机在起升下降过程中视觉可达性较差,在平移过程中视觉可达性较好;信号工和司索工的位置与其视觉可达性联系紧密,当信号工处于视野刚好覆盖起重司机和司索工的位置时,其视觉可达性最好,而司索工需不断调整位置,使其视觉可达性达到最佳。

基于BIM 5D的项目安全与质量协同管理研究

为解决项目质量和安全管理无法直观表达、提前预防、及时整改等问题,本研究将BIM技术引入项目安全与质量管理工作中,验证了基于BIM 5D的工程安全与质量协同管理的可行性。通过研究得出:通过“事前预防”的BIM技术(建立Revit模型、深化设计、施工模拟、可视化技术交底),将项目质量和安全问题提前暴露,减少返工造成的不必要麻烦,保证物资的有序进场和合理堆放,为安全文明施工提供基础;通过“事中控制”的BIM 5D+智慧工地决策系统,将质量、安全问题进行归集、分析,将分析结果以图表呈现,对关键问题进行预警,及时发现问题并整改。上述方法保证了项目安全,提升了工程质量,为施工企业应用BIM 5D提供了参考。

基于BIM和语义网的轨道智能运维管理方法

建筑信息模型(BIM)技术对提高轨道运维管理效率具有重要的推进作用。然而,不同的检查和维护活动产生的数据异构性高、时空关系复杂,阻碍了BIM解释和整合数据的进程。为此,开发了一个基于工业基础类(IFC)和语义Web技术的轨道运维本体(TOMO),其具有3个功能:①基于轨道运维生命周期的应用需求,简化BIM模型信息;②引入映射规则,建立数据提取与转换模块,集成多源异构数据,结构化定义数据之间复杂的时空关系;③结合数据驱动技术,研究轨道精调智能优化的方法,提供弹性决策支持。最后,以某高速铁路静检数据为例,验证了该框架的有效性与实用性,对于促进领域数据互操作性、降低运维人员劳动强度和提高运维管理智能化程度具有实际的工程指导意义。

面向全生命期贯通应用的BIM技术与管理需求

建筑信息模型(BIM)技术被提出时,存在一个“初心”,即BIM技术支撑包括规划、设计、施工、运行维护等各阶段的建筑工程全生命期跨阶段贯通应用。虽已经过20年,BIM技术在大量建筑工程中得到应用,但实现“初心”的应用仍然凤毛麟角,而且BIM应用发展当前遭遇瓶颈。为此,基于笔者研究和实践,提出突破瓶颈的关键,即实现面向全生命期贯通应用的BIM技术与管理突破。为此,从技术和管理层面系统分析相应需求,包括技术标准、应用软件、管理标准突破,并阐述其可行性,为我国BIM技术进一步发展和应用提供助力。

BIM技术的创新发展与大场景应用

BIM技术的广泛应用推动了建筑业从“数字化”到“可视化”的转变,显著提高了设计与施工的效率和质量。然而,国外BIM软件存在水土不服、迭代困难、信息安全等问题。我国自主研发的C⁃BIMBase平台以BIM模型为核心,具备高效的大场景建模能力和自主可控的技术特点,为BIM核心软件提供了国产化替代方案,确保了重要工程的数字安全,促进建筑业数字化水平提升。通过建立国产化的IFC标准体系,实现国外软件的国产化替代,国产BIM软件在大场景应用中展现出显著优势。展望未来,应加快推进国产化BIM软件及平台替代,开发自主知识产权的仿真求解器,掌握关键核心技术自主权。通过在大场景工程中的广泛应用和迭代升级,我国BIM技术有望实现从跟跑到领跑的转变,为建筑行业数字化转型和高质量发展做出贡献。

基于BIM技术的大型公共建筑智慧施工研究与应用

大型公共建筑造型复杂,工期紧张,涉及多个专业领域的施工,各专业之间配合协调难度大。同时,穿插施工的管理与成本控制的难度也较大。以某图书馆项目施工为例,从BIM模型建立、BIM全专业模型整合、基于BIM的深化设计、基于BIM的施工组织优化以及基于BIM云平台的创新应用等方面,对BIM技术在大型公共建筑工程项目智慧建造全生命周期中的数字化集成应用及其成效所展开的探讨,旨在为BIM信息化手段助力建设工程智慧施工提供解决方案,助推建筑业的转型升级。

亭子口灌区一期工程第Ⅳ标段BIM正向设计优化与应用

灌区工程线路长、范围广、渠系建筑物众多,随着BIM技术在工程建设领域应用越来越广,在灌区设计中利用BIM进行三维正向设计与优化,有助于提高灌区设计质量,提升灌区整体管理水平。结合亭子口灌区一期工程第Ⅳ标段,介绍了利用水工建筑物三维参数化正向设计、BIM技术进行隧洞进出口三维开挖正向设计、深挖方暗渠优化设计、主支洞交叉段三维正向设计、BIM模型在运维阶段的应用等应用点,为类似工程设计提供了经验。

基于BIM的PC构件排样优化设计

针对PC构件排样与上游装配式建筑设计模型的协同效用问题,进行了基于BIM的PC构件排样优化设计研究。分析了装配式BIM中PC构件的组成元素,完成PC构件信息的提取;结合改进蚁群算法与动态剩余矩形算法对PC构件排样进行优化,采用遗传变异策略与路径选择机制改进算法后期易陷入局部最优的不足,经过多次优化迭代得出最优排样。某PC构件企业的生产排样实例验证了基于BIM的PC构件排样优化方案可实现上游装配式建筑设计模型与PC构件排样的协同效用,提高了排样效率。

BIM下的高层建筑平面凹凸不规则识别方法

在高层建筑平面审查过程中,主要通过基于ResNET(残差学习网络)的图片分类模型进行平面凹凸不规则识别,存在数据样本不均衡的问题,使得最终识别结果曲线下面积(AUC)值较低。针对此类问题,提出建筑信息模型(BIM)下的高层建筑平面凹凸不规则识别方法。利用布尔交运算方法,分析高层BIM模型中所有结合对象之间的关系,获取建筑平面信息。通过无人机搭载图像采集系统获取建筑实景图像,并应用多尺度局部直方图均衡化算法实现图像增强。建立以最大类间方差法为基础的图像分割方案,结合多策略融合未来搜索算法确定最优分割阈值,得到高层建筑图像目标前景区域。最后,运用深度学习网络构建基于潜在特征空间的图片异常检测模型,将分割后图像输入训练好的模型中自动学习,即可得到建筑平面凹凸不规则识别结果。实验结果表明:该方法识别结果的AUC值为0.9,更符合高层建筑平面审查工程的要求。

BIM建筑设计的特点及应用研究

现代建筑设计要求高、施工内容复杂,这对建筑设计工作提出了较高要求,也促进了设计技术的发展。以BIM建筑设计的特点为切入点,分析其应用方式,包括信息采集、建模和调整、实验和优化、动态应用和模型更新等环节,并对该技术的未来应用进行简单展望,包括技术联动、信息共享和智能化等,以系统地呈现BIM建筑设计的特点和优势,服务其未来应用。