Prof. Abdul Hadi Nawawi
Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA (UiTM)
Title: Building Information Modelling (BIM) in Facilities Management
The construction industry primarily uses building information modelling (BIM) to streamline the construction management stage at the early life cycle of a building. However, there is a lack of tools for managing building facilities and operation once the building is constructed. The facility managers and building owners have begun to realise the value of BIM since the information of the building during the construction stage is vital to manage building facilities. Recently, international organisations and several government are taking the initiatives to promote BIM in the management of the whole building life-cycle for efficient FM. An increasing number of research studies have indicated that BIM can enhance the cooperation, improve work efficiency, as well as allowing simulation and analysis of performance in FM. Thus, this triggers the purpose of the study to explore the benefits of using BIM as a tool for facilities management. In general, BIM enables integration of people, place, processes and technology It was also highlighted that the use of BIM in FM has the benefits in terms of effective operational cost management, shorter time for decision making, reliable resources for decision making, better documentation system, collaboration and work flexibility and updated information and clash detection.
Chengwei Liao, General Manager
Strong Technology Co.,LTD.
廖承伟 四创科技有限公司，水利工程事业部总经理
Title: Promoting Modernization of Water Conservancy Project Management by Standardization
The report enumerates the common problems existing in the present situation of water conservancy project management, analyses the causes of the problems, puts forward the standards for realizing the concept of modern project management, and expounds the main tasks and expected results of the standardization construction of water conservancy project management, probes into the general idea of how standardization promotes the modernization of water conservancy project management with the combination of property management and informatization, and shares a typical case.
Assoc. Prof. Norhisham bin Bakhary
Universiti Teknologi Malaysia (UTM)
Title: Handling Uncertainties in Vibration Data for Damage Detection
The excellent usage of vibration data to detect damage in engineering structures has been reported in several studies. This involved using numerical FE models, laboratory testing samples and real existing structures. In addition to damage detection, vibration data have been applied to verify and validate design, and predict dynamic responses due to loadings such as earthquake, wind and traffic. However, the use of vibration data to identify damage has been questioned (hindered) in terms of its reliability due to presence of uncertainties. In vibration data, there are two sources of uncertainties: FE modeling error and measurement noise. The existence of modeling error in FE is inevitable due to the inaccuracy of physical parameters, non-ideal boundary condition, finite element discretization, and nonlinear structural properties. This error may generate vibration data from a FE model that does not represent the exact dynamic behavior of the undamaged structure, thus leading to errors in damage detection. Uncertainties in measurement data normally occur during the testing phase and may lead to inaccurate damage identification. These uncertainties are associated with temperature, humidity, equipment calibration and external disturbances. Practically, as structures become larger and more complex, the inherent problems of uncertainties become more significant. These uncertainties are inevitable causing changes to the dynamic properties of the structure that can be equal to or greater than changes caused by damage, thereby leading to inaccurate damage diagnoses. The problems associated with uncertainties have triggered researchers to search for methods and indicators that are very highly sensitive to damage, so that the effects of uncertainties are reduced, and so that the uncertainties do not submerge the damage.
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