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Condition assessment on reinforced concrete (RC) structures is one of the critical issues as a result of structure degradation due to aging in many developed countries. The purpose of this paper is to examine the sensitivity and reliability of the conventional dynamic response approaches, which are currently applied in the RC structures. The key indicators include: natural frequency and damping ratio. To deal with the non-linear characteristics of RC, the concept of random decrement is applied to analyze time domain data and a non-linear damping curve could be constructed to reflect the condition of RC structure.

A full-scale RC structure was tested under ambient vibration and the impact from a rubber hammer. Time history data were collected to analyze dynamics parameters such as natural frequency and damping ratio.

The research demonstrated that the measured natural frequency is not a good indicator for integrity assessment. Similarly, it was revealed that the traditional theory of viscous damping performed poorly for the RC with non-linear characteristics. To address this problem, a non-linear curve is constructed using random decrement and it can be used to retrieve the condition of the RC structure in a scientific manner.

The time domain analysis using random decrement can be used to construct a non-linear damping curve. The results from this study revealed that the damage of structure can be reflected from the changes in the damping curves. The non-linear damping curve is a powerful tool for assessing the health condition of RC structures in terms of sensitivity and reliability.

The purpose of this paper is to present a systems information model (SIM) that is akin to a building information model (BIM) and can be used by asset managers and staff to make more informed and quicker decisions about maintenance.

The problems associated with managing assets are examined alongside recent international efforts to standardize methods of data collection for meeting the objectives of owners. A case study in the domain of electrical, control and instrumentation (ECI) documentation is examined in detail, with particular reference to the amelioration of errors and omissions in “as built” drawings in order to provide the underlying foundation to support effective asset management (AM).

The findings show that object oriented data models such as SIM provide a robust structure for effective and efficient AM and associated leverage of benefits throughout the entire facility lifecycle of a project. In particular object oriented data enables appropriate and reliable information to be created as a project progresses through its lifecycle, at little cost to the creators.

The above special approach to enabling data collection at the point of creation is in alignment with recent Government initiatives such as Construction Operations Building Information Exchange, which are beginning to gather traction within the industry. While the potential benefits for AM of such systems are espoused throughout the industry, there are few successful examples in existence with measurable realization of benefits.

The purpose of this paper is to investigate the moderating influence of organizational climate in the relationship between job stress and intent to stay.

This study has used a non-probability sampling design for data collection. A semi-structured questionnaire has been prepared and a street survey has been carried out at popular public places in Macau.

This study shows that stressful employees working in organizations characterized by unsupportive organizational climate had far less desire to stay with the organization than those working in organizations with supportive organizational climate.

Street intercept survey is a technique of convenience sampling. This makes it difficult to generalize the study’s findings to the entire population.

Few studies to date have paid attention to the influence of organizational climate between job stress and intent to stay. The multi-industry context from which the data are collected suggests that the results and findings are useful to managers and practitioners from across a broad range of business sectors.