An Investigation of a Particular Weldment Failure

Two sets of weld-test coupons, supposedly made under identical conditions, were submitted to this institution last year for approval and certification under the A.S.M.E. Welder's Qualification Code. The first set of coupons was unsatisfactory. The second set, made by the same operators one month later, was satisfactory.

Mathematical simulation models for crashworthiness qualification of motor vehicle structures. Phase I. Final report.

National Highway Safety Bureau, Washington, D.C.

Consumer protection in the banking sector : reviewing the Code of Banking Practice

This article explains the relevance of the Code and its place in the regulatory framework, discusses some of the key issues arising in the recent review (as identified by consumer advocates1), and explains the relationship between the Code and the Financial Ombudsman Service.

Sustainability and the building code of Australia

This report is the culmination of a two-stage research project to inform the Australian property and construction industry generally, in addition to providing the Australian Building Codes Board (ABCB) with information to allow it to determine whether or not sustainability requirements are necessary in the Future Building Code of Australia (BCA21). The Australian Building Codes Board is a joint initiative of all levels of government in Australia. The Board’s mission is to provide for efficiency and cost effectiveness in meeting community expectations for health, safety and amenity in the design, construction and use of buildings through the creation of nationally consistent building codes, standards, regulatory requirements and regulatory systems. The Stage 1 (literature review) and Stage 2 (workshops) reports are intended to be read in conjunction with one another. These reports and the Database are provided as appendices. The Conclusions of this, the final report, are the result of the overall program of work.

Automated code checking

Most buildings constructed in Australia must comply with the Building Code of Australia (BCA). Checking for compliance against the BCA is a major task for both designers and building surveyors. This project carries out a prototype research using the EDM Model Checker and the SMC Model Checker for automated design checking against the Building Codes of Australia for use in professional practice. In this project, we develop a means of encoding design requirements and domain specific knowledge for building codes and investigate the flexibility of building models to contain design information. After assessing two implementations of EDM and SMC that check compliance against deemed-to-satisfy provision of building codes relevant to access by people with disabilities, an approach to automated code checking using a shared object-oriented database is established. This project can be applied in other potential areas – including checking a building design for non-compliance of many types of design requirements. Recommendations for future development and use in other potential areas in construction industries are discussed

Uptake of an OHS code of practice by Australian construction firms

The Australian construction industry is moving towards the implementation of a voluntary code of practice (VCP) for occupational health and safety (OHS). The evidence suggests that highly-visible clients and project management firms, in addition to their subcontractors, will embrace such a code, while smaller firms not operating in high-profile contracting regimes may prove reticent. This paper incorporates qualitative data from a research project commissioned by Engineers Australia and supported by the Australian Contractors’ Association, Property Council of Australia, Royal Australian Institute of Architects, Association of Consulting Engineers Australia, Australian Procurement and Construction Council, Master Builders Australia and the Australian CRC for Construction Innovation. The paper aims to understand the factors that facilitate or prevent the uptake of the proposed VCP by smaller firms, together with pathways to adoption.

Uptake of an OHS code of practice by construction firms : barriers and enablers in an Australian industry

The Australian construction industry, reflecting a global trend, is moving towards the implementation of a voluntary code of practice (hereafter VCP) for occupational health and safety. The evidence suggests that highlyvisible clients and project management firms, in addition to their subcontractors, look set to embrace such a code. However, smaller firms not operating in high-profile contracting regimes may prove reticent to adopt a VCP. This paper incorporates qualitative data from a high-profile research project commissioned by Engineers Australia and supported by the Australian Contractors’ Association, Property Council of Australia, Royal Australian Institute of Architects, Association of Consulting Engineers Australia, Australian Procurement and Construction Council, Master Builders Australia and the Australian CRC for Construction Innovation. The paper aims to understand the factors that facilitate or prevent the uptake of the VCP by smaller firms, together with pathways to the adoption of a VCP by industry.

Safer construction voluntary code of practice : implications for SMEs

The majority of Australian construction firms are small businesses, with 97% of general construction businesses employing less than 20 employees and 85% employing less than five employees (Lin and Mills, 2001; Lingard and Holmes, 2001). The Australian Bureau of Statistics’ definition of a small to medium enterprise was used for the purpose of this study (McLennan, 2000). This included small business employing less than twenty people and medium business employing less than 200 people. Although small to medium enterprises (SME) make up the major share of construction organisations in Australia, there is a paucity of published research in relation to occupational health and safety (OHS) issues for this group. Typically, SME organisations “are frequently undercapitalized and depend on continuous cash flow for their continued business” (Cole, 2003; 12). Research by Lin and Mills (2001) indicates that these factors influence the smaller operators’ ability and motivation to achieve high levels of OHS compared to larger firms which tend to integrate OHS into their management systems. According to Lin and Mills (2001; 137) small firms “do not feel the need to focus on OHS in their management systems, instead they often believe that the control of risk is the responsibility of employees”. This report documents findings from a qualitative research study that examined SME organisations’ views of a newly developed voluntary code of practice (VCOP), and ways in which they might implement the code in their businesses. The research also explored respondents’ awareness of current safety issues in industry in the context of their personal experiences.

Safer construction : the development of a voluntary code of practice to improve safety performance in the Australian construction industry

In Australia, between 1994 and 2000, 50 construction workers were killed each year as a result of their work, the industry fatality rate, at 10.4 per 100,000 persons, is similar to the national road toll fatality rate and the rate of serious injury is 50% higher than the all industries average. This poor performance represents a significant threat to the industry’s social sustainability. Despite the best efforts of regulators and policy makers at both State and Federal levels, the incidence of death, injury and illness in the Australian construction industry has remained intransigently high, prompting an industry-led initiative to improve the occupational health and safety (OHS) performance of the Australian construction industry. The ‘Safer Construction’ project involves the development of an evidence-based Voluntary Code of Practice for OHS in the industry.

Automated code checking

Most buildings constructed in Australia must comply with the Building Code of Australia (BCA). Checking for compliance against the BCA is a major task for both designers and building surveyors. This project carries out a prototype research using the EDM Model Checker and the SMC Model Checker for automated design checking against the Building Codes of Australia for use in professional practice. In this project, we develop a means of encoding design requirements and domain specific knowledge for building codes and investigate the flexibility of building models to contain design information. After assessing two implementations of EDM and SMC that check compliance against deemed-to-satisfy provision of building codes relevant to access by people with disabilities, an approach to automated code checking using a shared object-oriented database is established. This project can be applied in other potential areas – including checking a building design for non-compliance of many types of design requirements. Recommendations for future development and use in other potential areas in construction industries are discussed.

Sustainability and the Building Code of Australia

This was a two-stage project to inform the Australian property and construction industry generally, and to provide the Australian Building Codes Board (ABCB) with information to allow it to determine whether or not sustainability requirements are necessary in the Future Building Code of Australia (BCA21). Research objectives included: examine overseas sustainability requirements for buildings and outline the reason why it is controlled and regulated in the particular country, state, principality etc. examine studies focusing on sustainability developments in buildings in Australia and overseas identify potential issues and implications associated with sustainable building requirements provide advice on whether provisions are necessary in the BCA21 to make buildings sustainable if the study determines there is a need for sustainability requirements in the BCA21, the study was to demonstrate the need to control and regulate along with the method to control and regulate. This research was broken down into two stages. Stage 1 was a literature review of international requirements as well as current thinking and practice for sustainable building developments. Stage 2 identified issues and implications of sustainability requirements for buildings and advice on whether provisions are necessary in the BCA21. This stage included workshops in all capital cities and involved key stakeholders, such as regulators, local government and representatives from key associations. This final report brings together the work of both stages, along with a searchable internet database of references and a series of nine key recommendations.

A fuzzy neural network approach for contractor pre-qualification

Nonlinearity, uncertainty and subjectivity are the three predominant characteristics of contractors prequalification which cause the process more of an art than a scientific evaluation. A fuzzy neural network (FNN) model, amalgamating both the fuzzy set and neural network theories, has been developed aiming to improve the objectiveness of contractor prequalification. Through the FNN theory, the fuzzy rules as used by the prequalifiers can be identified and the corresponding membership functions can be transformed. Eighty-five cases with detailed decision criteria and rules for prequalifying Hong Kong civil engineering contractors were collected. These cases were used for training (calibrating) and testing the FNN model. The performance of the FNN model was compared with the original results produced by the prequalifiers and those generated by the general feedforward neural network (GFNN, i.e. a crisp neural network) approach. Contractor’s ranking orders, the model efficiency (R2) and the mean absolute percentage error (MAPE) were examined during the testing phase. These results indicate the applicability of the neural network approach for contractor prequalification and the benefits of the FNN model over the GFNN model. The FNN is a practical approach for modelling contractor prequalification.

Decision support system for contractor pre-qualification : artificial neural network model

The selection criteria for contractor pre-qualification are characterized by the co-existence of both quantitative and qualitative data. The qualitative data is non-linear, uncertain and imprecise. An ideal decision support system for contractor pre-qualification should have the ability of handling both quantitative and qualitative data, and of mapping the complicated nonlinear relationship of the selection criteria, such that rational and consistent decisions can be made. In this research paper, an artificial neural network model was developed to assist public clients identifying suitable contractors for tendering. The pre-qualification criteria (variables) were identified for the model. One hundred and twelve real pre-qualification cases were collected from civil engineering projects in Hong Kong, and eighty-eight hypothetical pre-qualification cases were also generated according to the “If-then” rules used by professionals in the pre-qualification process. The results of the analysis totally comply with current practice (public developers in Hong Kong). Each pre-qualification case consisted of input ratings for candidate contractors’ attributes and their corresponding pre-qualification decisions. The training of the neural network model was accomplished by using the developed program, in which a conjugate gradient descent algorithm was incorporated for improving the learning performance of the network. Cross-validation was applied to estimate the generalization errors based on the “re-sampling” of training pairs. The case studies show that the artificial neural network model is suitable for mapping the complicated nonlinear relationship between contractors’ attributes and their corresponding pre-qualification (disqualification) decisions. The artificial neural network model can be concluded as an ideal alternative for performing the contractor pre-qualification task.