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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 81
PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: B.H.V. Topping
Paper 27
Evaluating Trench Safety using Fuzzy Logic C.B. Patel and F.C. Hadipriono
Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, Columbus, Ohio, United States of America C.B. Patel, F.C. Hadipriono, "Evaluating Trench Safety using Fuzzy Logic", in B.H.V. Topping, (Editor), "Proceedings of the Tenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 27, 2005. doi:10.4203/ccp.81.27
Keywords: safety, enabling events, triggering events, trench, collapse, motes, fuzzy logic, fuzzy set.
Summary
Trench collapse is a major source of events contributing to the accidental deaths
occurring in the United States of America. Excavating is recognized as one of the
most hazardous construction operations. Trench accidents on U.S. construction sites
accounting for an estimated one hundred fatalities per year and with at least eleven times as many
workers injured. Trench collapse accounts for nearly 1% of all the work related deaths in
the United States [1]. Trench accidents usually kill victims almost immediately.
Many of victims who are pulled out alive then die with the injuries or suffer from
mechanical asphyxia.
Moreover trench collapse can affect many other factors including: delay in the
completion of the trenching operation, delay in related activities, decrease in
the work efficiency of the injured worker, increase in the direct and the indirect cost,
damage to the reputation of the company in the market and many more.
This paper deals with the efforts trying to prevent the trench collapse which are directly or indirectly resulting in major losses. The paper includes, a study of the enabling and triggering causes of trench collapse, the classification of soil types by the OSHA (Occupational Safety & Health Administration), the frequently identified causes of trench failures, the traditional methods used to prevent trench failures, and the improper use of methods and equipment for a particular type of trenching activity. The authors have identified the major factors involved in trench collapse as shown in Table 27.1. Statistical data regarding the occurrences of these factors are not readily available. In addition, assessment of trench safety is often expressed subjectively, necessitating the use of the fuzzy logic approach. Based on this evaluation a trench safety monitoring system has been designed.
The intention behind the study described in this paper is to develop a proactive approach that involves the application of a translational fuzzy logic model. The model incorporates the use of fuzzy relationships and composition operations. Users can employ this model for monitoring trench safety and implementing quality control procedures. References
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